{"id":1540,"date":"2023-12-24T19:10:48","date_gmt":"2023-12-24T17:10:48","guid":{"rendered":"https:\/\/sites.uef.fi\/learning-analytics\/?page_id=1540"},"modified":"2025-12-19T02:22:51","modified_gmt":"2025-12-19T00:22:51","slug":"all-pub-2","status":"publish","type":"page","link":"https:\/\/sites.uef.fi\/learning-analytics\/publications\/all-pub-2\/","title":{"rendered":"LA Unit Publications"},"content":{"rendered":"\n

2025<\/h3>\n\n\n\n
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  1. <\/a>K. Misiejuk, R. Kaliisa, S. L\u00f3pez-Pernas, M. Saqr. Expanding the Quantitative Ethnography Toolkit with Transition Network Analysis: Exploring Methodological Synergies and Boundaries<\/a>. ICQE 2025<\/li>\n\n\n\n
  2. Y. Liu, S. Nawaz, M. Saqr, S. L\u00f3pez-Pernas, R. Alfredo, P. Mejia-Domenzain, D. Rahayu, R. Martinez-Maldonado. Behavioural transitions in team teaching: Comparing low and high experience teachers via Transition Network Analysis<\/a>. ASCILITE Publications 2025.<\/li>\n\n\n\n
  3. S. L\u00f3pez-Pernas, M. Conde-Gonz\u00e1lez, M. Saqr. Three shades of self\u2010regulation with unique complex dynamics, drivers and targets for intervention<\/a>. British Journal of Educational Technology, 2025.<\/li>\n\n\n\n
  4. S. L\u00f3pez-Pernas, K. Misiejuk, E. A. Oliveira, M. Saqr. The dynamics of the self-regulation process in student-AI interactions: The case of problem-solving in programming education<\/a>. Koli Calling 2025.<\/li>\n\n\n\n
  5. S. L\u00f3pez-Pernas, L. Cheung, L. Strauss, U. Pesonen, E. A Niskanen, Y. J. E. Isaksson, I. Nedveckyt\u0117, R. Fisher, R.Elmoazen. Designing an Educational Escape Room in Biomedical Sciences using Text-to-Image Generative AI<\/a>. ICSLE 2025 (Preprint) <\/li>\n\n\n\n
  6. S. L\u00f3pez-Pernas, D. Girault, S. Tikka, M. Saqr. JTNA: A Desktop Software for Transition Network Analysis<\/a>. ICSLE 2025 (Preprint)<\/li>\n\n\n\n
  7. J. Wu, A. Tlili, S. Salha, D. Mizza, M. Saqr, S. L\u00f3pez-Pernas, R. Huang. Unlocking the potential of artificial intelligence in improving learning achievement in blended learning: a meta-analysis<\/a>. Frontiers in Psychology, 2025.<\/li>\n\n\n\n
  8. M. Saqr, S. L\u00f3pez-Pernas. Advanced Learning Analytics Methods: AI, Precision and Complexity<\/a>. Springer Cham, 2025<\/li>\n\n\n\n
  9. M. Saqr, A. Tlili, S. L\u00f3pez-Pernas. Automating Individualized Machine Learning and AI Prediction Using AutoML: The Case of Idiographic Predictions<\/a>. In M. Saqr, S. L\u00f3pez-Pernas. Advanced Learning Analytics Methods, 2025.<\/li>\n\n\n\n
  10. S. L\u00f3pez-Pernas, E. A. Oliveira, Y. Song, M. Saqr. AI, Explainable AI and Evaluative AI: Informed Data-Driven Decision-Making in Education<\/a>. In M. Saqr, S. L\u00f3pez-Pernas. Advanced Learning Analytics Methods, 2025.<\/li>\n\n\n\n
  11. S. L\u00f3pez-Pernas, S. Tikka, M. Saqr. Mining Patterns and Clusters with Transition Network Analysis: A Heterogeneity Approach<\/a>. In M. Saqr, S. L\u00f3pez-Pernas. Advanced Learning Analytics Methods, 2025.<\/li>\n\n\n\n
  12. S. L\u00f3pez-Pernas, Y. Song, E. A. Oliveira, M. Saqr. LLMs for Explainable Artificial Intelligence: Automating Natural Language Explanations of Predictive Analytics Models<\/a>. In M. Saqr, S. L\u00f3pez-Pernas. Advanced Learning Analytics Methods, 2025.<\/li>\n\n\n\n
  13. M. Saqr, H. Ito, S. L\u00f3pez-Pernas. Individualized Analytics: Within-Person and Idiographic Analysis<\/a>. In M. Saqr, S. L\u00f3pez-Pernas. Advanced Learning Analytics Methods, 2025.<\/li>\n\n\n\n
  14. R. AlMohammadi, M. AlTurayef, M. Walid, R. Elmoazen, M. Alkhodary ,The interactive effect of bone density and drill type on heat generated during drilling of dental implant osteotomy: a single versus sequential drills in vitro experiment<\/a>. BMC Oral Health, 2025<\/li>\n\n\n\n
  15. F.G. Deriba, A.O. Sunday, Emerging trends in artificial intelligence for digital accessibility: A topic modelling approach<\/a>. Proceedings of the 2025 International Conference on Information and Communication Technology for Development for Africa (ICT4DA)<\/em>, IEEE, 2025.<\/li>\n\n\n\n
  16. C.C. Ugo, S. L\u00f3pez-Pernas, A. Gordillo, M. Tukiainen, Escape rooms for learning programming: A systematic literature review<\/a>. Review of Education, <\/em>2025.<\/li>\n\n\n\n
  17. N. Pope, S. L\u00f3pez-Pernas, M. Saqr, M. Tedre, How to train your own language model in the browser: Learning by doing. Accepted to the Internationcal Conference on Smart Learning Environments, <\/em>2025.<\/li>\n\n\n\n
  18. F.G. Deriba, I.T. Sanusi, E. Tsuduku, Bilingual instruction in programming: Preliminary insights from an Amrahic-English OOP course<\/a>. Proceedings of the ACM Global on Computing Education Conference, <\/em>pp. 382, ACM, 2025.<\/li>\n\n\n\n
  19. L. Malmi, S. L\u00f3pez-Pernas, H. Nguyen, M. Apiola, M. Saqr, Topical analysis of programming education research literature<\/a>. ACM Transaction on Computing Education, <\/em>2025.<\/li>\n\n\n\n
  20. H. Ahmed, H. Kayaduman, S. L\u00f3pez-Pernas, M. Tukiainen, M. Saqr, User-centric evaluation of GenAI alignment and recmonnedations based on predictive learning analytics<\/a>. Proceedings of the Second International Workshop on Generative AI for Learning Analytics, <\/em>2025.<\/li>\n\n\n\n
  21. N. Pope, J. Kahila, H. Vartiainen, M. Saqr, S. L\u00f3pez-Pernas, T. Roos, J. Laru, M. Tedre,\u00a0An XAI social media platform for teaching K-12 students AI-Driven profiling, clustering, and engagement-based recommending<\/a>.\u00a0Proceedings of the AAAI Conference on Artificial Intelligence,\u00a0<\/em>vol.39, n.28, pp.29203-29211, 2025.<\/li>\n\n\n\n
  22. S. Heikkinen, M. Saqr. The Complex Dynamics of Self-Regulation: Analyzing State Transitions in Online Learning Environments<\/a>. (Preprint 2025)<\/li>\n\n\n\n
  23. Z. Teuber, S. L\u00f3pez-Pernas, G. Jordan, A. M. Weber, S. Greiff, S. Y. Kim, T. Dicke. Mapping Emotional Components in Daily Parent-Child Interactions: A Multilevel Psychological Network Approach<\/a> (Preprint 2025).<\/li>\n\n\n\n
  24. A. Gordillo, A. S. Urbieta, S.L\u00f3pez-Pernas, S. Guti\u00e9rrez, M. Milosevic, M. \u0106osi\u0107, E. B. Arias, R. Elmoazen. Best Practices for Creating and Conducting Educational Escape Rooms: A Comprehensive Guide for Teachers<\/a>. Publisher: Universidad Polit\u00e9cnica de Madrid, 1st Ed, ,2025.<\/li>\n\n\n\n
  25. M. E. Elgaafary, M. Abou Elela, O. H. Ahmed, R. Elmoazen.Usage of analgesic and anti-inflammatory medicine by Egyptian male international footballers: what are the patterns and the perceptions towards sports pharmacy and medication use?<\/a>. BMJ Open Sports and Exercise Medicine,11(3):e002605<\/li>\n\n\n\n
  26. S. Heikkinen, M. Saqr, J. Malmberg, M. Tedre.<\/a> The Interplay of Engagement and Learning Regulation in Online Learning<\/a>. Proceedings of TEEM 2024 , Lecture Notes in Educational Technology 2025.<\/li>\n\n\n\n
  27. G. Fitsum, F.G. Deriba, M. Saqr, M. Tukiainen, Exploring the role of AI in enhancing accessibility in user interface design: A qualitative study of student experiences<\/a>. Proceedings of TEEM 2024 , Lecture Notes in Educational Technology 2025.<\/li>\n\n\n\n
  28. K. Misiejuk, S. L\u00f3pez-Pernas, R. Kaliisa, M. Saqr.<\/a> Learning Together: Modeling the Process of Student-AI Interactions When Generating Learning Resources<\/a>. Proceedings of TEEM 2024 , Lecture Notes in Educational Technology 2025.<\/li>\n\n\n\n
  29. S. L\u00f3pez-Pernas, M. Conde-Gonz\u00e1lez, M. Raspopovic, M. Saqr. Frequencies and Averages Miss the Point of SRL Evolution: A Complex Dynamic Systems Approach<\/a>.  Proceedings of TEEM 2024 , Lecture Notes in Educational Technology 2025.<\/li>\n\n\n\n
  30. M. Conde-Gonz\u00e1lez, J. A. G. Esteban, J. A. Rom\u00e1n, S. L\u00f3pez-Pernas. Analysing Student Engagement Through the Definition of Educational Escape Rooms<\/a>. Proceedings of HCII 2025<\/li>\n\n\n\n
  31. L. V.D.E. Vogelsmeier, E. A. Oliveira, K. Misiejuk, S. L\u00f3pez-Pernas, M. Saq. Delving Into the Psychology of Machines: Exploring the Structure of Self-Regulated Learning via LLM-Generated Survey Responses<\/a>. (Preprint, 2025)<\/li>\n\n\n\n
  32. M. Saqr, S. L\u00f3pez-Pernas. Changes in online engagement at the within-person level, profiles, dynamics and association with achievement<\/a>. The Internet and Higher Education 67, 2025.<\/li>\n\n\n\n
  33. M. Saqr, K. Misiejuk, T. T\u00f6rm\u00e4nen, R. Kaliisa, S. Tikka, S. L\u00f3pez-Pernas. Frequency Transition Network Analysis (FTNA)<\/a>. CSCL Proceedings in Helsinki, Finland, 2025.<\/li>\n\n\n\n
  34. S. Tikka, S. L\u00f3pez-Pernas, M. Saqr. tna: An R Package for Transition Network Analysis<\/a>. Applied Psychological Measurement 49 (6), 2025<\/li>\n\n\n\n
  35. S. L\u00f3pez-Pernas, E. B. Arias, M. Kosti\u0107, M. Milosevic , A. Gordillo,M. Saqr.<\/a> Escape Rooms for Media Literacy: A Systematic Literature Review<\/a> (Preprint)<\/li>\n\n\n\n
  36. E. A. Oliveira, M. Mohoni, S. L\u00f3pez-Pernas, M. Saqr. Human-AI Collaboration or Academic Misconduct? Measuring AI Use in Student Writing Through Stylometric Evidence<\/a>. (Preprint)<\/li>\n\n\n\n
  37. S. L\u00f3pez-Pernas, K. Misiejuk, R. Kaliisa, M. Saqr. Capturing the Process of Students’ AI Interactions When Creating and Learning Complex Network Structures<\/a>. IEEE Transactions on Learning Technologies 18:556 – 568.<\/li>\n\n\n\n
  38. T. Valtonen, T. Paavilainen,S. L\u00f3pez-Pernas, M.Saqr, L. Hirsto. Elementary and Secondary School Teachers\u2019 Perceptions of Learning Analytics: A Qualitative Approach<\/a>. Technology, Knowledge and Learning 30(2):601-619, 2025.<\/li>\n\n\n\n
  39. N. Pope, J. Kahila, H. Vartiainen, M. Saqr, S. L\u00f3pez-Pernas, T. Roos, J. Laru, M. Tedre, An XAI social media platform for teaching K-12 students AI-Driven profiling, clustering, and engagement-based recommending<\/a>. Proceedings of the AAAI Conference on Artificial Intelligence, <\/em>vol.39, n.28, pp.29203-29211, 2025.<\/li>\n\n\n\n
  40. S. Heikkinen, M. Saqr, J. Malmberg, M. Tedre, A longitudinal study of interplay between student engagement and self-regulation<\/a>. International Journal of Educational Technology in Higher Education, <\/em>vol.22, 2025.<\/li>\n\n\n\n
  41. F.G. Deriba, I.T. Sanusi, Artificial ingelligence in Ethiophian school curriculum: Educators\u2019 practices, challenges, and recommendations<\/a>. Computers and Education Open, <\/em>vol.8, 2025.<\/li>\n\n\n\n
  42. I. Jormanainen, S. Pramanic, M. Kortelainen, P. Vartiainen, Lessons Learnt from the Development of Remotely Accessible ROS 2 Learning Environment.16th International Conference on Robotics in Education (RiE 2025)<\/em>, 2025. Accepted for publication.<\/li>\n\n\n\n
  43. T. Cristea, S. Heikkinen, C. Snijders, M. Saqr, U. Matzat, R. Conijn, A. Kleingeld. Dynamics of self-regulated learning: The effectiveness of students\u2019 strategies across course periods<\/a>. Computers & Education.<\/li>\n\n\n\n
  44. X. Mengtong, J. Zhang, M. Saqr, H. Jiang, W.Liu. Capturing the temporal dynamics of learner interactions in MOOCs: A comprehensive approach with longitudinal and inferential network analysis<\/a>. International Learning Analytics and Knowledge Conference (LAK 2025).<\/li>\n\n\n\n
  45. M. Saqr, S. L\u00f3pez-Pernas, T. T\u00f6rm\u00e4nen, R. Kaliisa, K. Misiejuk, S. Tikka. Transition Network Analysis: A Novel Framework for Modeling, Visualizing, and Identifying the Temporal Patterns of Learners and Learning Processes<\/a>. International Learning Analytics and Knowledge Conference (LAK 2025)<\/li>\n\n\n\n
  46. K. Misiejuk, S. L\u00f3pez-Pernas, R. Kaliisa, M. Saqr. Mapping the Landscape of Generative Artificial Intelligence in Learning Analytics: A Systematic Literature Review<\/a>. Preprint<\/li>\n\n\n\n
  47. S. Salem, I. Saad, Ramy Elmoazen, G. A. Khalifa. Anaesthetic efficacy of intraligamentary injection compared to incisive nerve block using 3% mepivacaine hydrochloride: a randomized clinical trial<\/a>. BMC Oral Health.<\/li>\n\n\n\n
  48. H. Vartiainen, N. Pope, J. KahilaJuho, Kahila, S. L\u00f3pez-Pernas, M. Tedre. Classroom Activities and New Classroom Apps for Enhancing Children’s Understanding of Social Media Mechanisms<\/a>. Preprint<\/li>\n\n\n\n
  49. F. G. Deriba, A. Kassahun, B. Tekinerdogan.<\/a> Enhancing Digitalization in Ethiopian Higher Education: A Technology Acceptance Model Approach<\/a>. SSRN Electronic Journal (January 2025)<\/li>\n\n\n\n
  50. R. Kaliisa, S. L\u00f3pez-Pernas, K. Misiejuk, C. Damsa, M. Sobocinski, S. J\u00e4rvel\u00e4, M. Saqr. A Topical Review of Research in Computer-Supported Collaborative Learning: Questions and Possibilities.<\/a> Computers & Education<\/li>\n\n\n\n
  51. S. L\u00f3pez-Pernas, M. Saqr, M.\u00c1. Conde, M. Apiola, M. Tedre, Mapping computer engineering education research: A topic analysis<\/a>. Computer, <\/em>2025.<\/li>\n<\/ol>\n\n\n\n

    2024<\/h3>\n\n\n\n
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    1. T. Paavilainen, S. L\u00f3pez-Pernas, S. V\u00e4is\u00e4nen, S. Kontkanen, L. Hirsto, Using learning analytics to support self-regulated learning in primary education \u2013 A learning design perspective<\/a>. Technology, Knowledge and Learning, <\/em>2024.<\/li>\n\n\n\n
    2. M.Z. Teka, F.G. Deriba, Advancing media objectivity: A deep learning model for detection of bias in Amharic news<\/a>. Proceedings of the 2024 International Symposium of Systems, Advanced Technologies and Knowledge<\/em>, 2024.<\/li>\n\n\n\n
    3. Deriba, F.G., Wubineh, B.Z., Teka, M.Z., Review of AI technologies for enhancing the lives of visually impaired individuals: Applications, outcomes, and future directions<\/a>. International Conference on Information and Communication Technology for Development for Africa<\/em> (ICT4DA), Bahir Dar, Ethiopia, 2024, pp. 241-246, 2024.<\/li>\n\n\n\n
    4. Mustafa, M.Y., Tlili, A., Lampropoulos, G., Huang, R., Jandri\u0107, P., Zhao, J., Salha, S., Xu, L., Panda, S., Kinshuk, S. L\u00f3pez-Pernas, M. Saqr, A systematic literature reviews on artificial intelligence in education (AIED): A roadmap to a future agenda<\/a>. Smart Learning Environments<\/em>, 11, 2024.<\/li>\n\n\n\n
    5. M. Saqr, S. L\u00f3pez-Pernas, Why explainable AI may not be enough: Predictions and mispredictions in decision making in education<\/a>. Smart Learning Environments, 11, <\/em>2024.<\/li>\n\n\n\n
    6. M. Denojean-Mairet, S. L\u00f3pez-Pernas, F. Agbo, M. Tedre, A literature review on the integration of microlearning and social media<\/a>. Smart Learning Environments, 11<\/em>, 2024.<\/li>\n\n\n\n
    7. S. L\u00f3pez-Pernas, A. Gordillo, E. Barra, M. Saqr, Tracking students\u2019 progress in educational escape rooms through a sequence analysis inspired dashboards<\/a>. In: Ferreira Mello, R., Rummel, N., Jivet, I., Pishtari, G., Ruip\u00e9rez Valiente, J.A. (eds) Technology Enhanced Learning for Inclusive and Equitable Quality Education<\/em>. EC-TEL 2024. Lecture Notes in Computer Science<\/em>, vol 15160. Springer, Cham, 2024.<\/li>\n\n\n\n
    8. S. Heikkinen, T. Cristea, M. Saqr, J. Malmberg, A. Kleindelg, C. Snijerds, U. Matzat, M. Tedre, Sequence analysis and process mining perspectives to goal setting: What distinguishes business students with high and low self-efficacy beliefs?<\/a>Smart Learning Environments<\/em>, vol. 11, no. 40, 2024.<\/li>\n\n\n\n
    9. H. Ito, S. L\u00f3pez-Pernas, M. Saqr, A scoping review of idiographic research in education: Too little, but not too late<\/a>. In 2024 IEEE International Conference on Advanced Learning Technologies (ICALT),<\/em> pp. 10-12, IEEE, 2024.<\/li>\n\n\n\n
    10. M. Saqr, S. L\u00f3pez-Pernas, Momentary emotions emerge and evolve differently, yet are suprisingly stable with students<\/a>. In 2024 IEEE International Conference on Advanced Learning Technologies (ICALT),<\/em> pp. 86-90, IEEE, 2024.<\/li>\n\n\n\n
    11. R. Elmoazen, M. Saqr, L. Hirsto, M. Tedre, Capturing temporal pathways of collaborative roles: A multilayered analytical approach using community of inquiry<\/a>. International Journal of Computer-Supported Collaborative Learning<\/em>, 2024.<\/li>\n\n\n\n
    12. E.Barra, A. Pozo, S. L\u00f3pez-Pernas, A. Alonso, A. Gordillo, Integration of an open source identity management system in educational platforms<\/a>. Journal of Web Engineering<\/em>, vol. 23, no. 4, 2024.<\/li>\n\n\n\n
    13. M. Saqr, M.J. Schreuder, S. L\u00f3pez-Pernas, Why educational research needs a complex system revolution that embraces individual differences, heterogeneity, and uncertaint<\/a>y. In Saqr, M., L\u00f3pez-Pernas, S. (Eds.), Learning Analytics Methods and Tutorials<\/em>. Springer, Cham, 2024.<\/li>\n\n\n\n
    14. J. Jongerling, S. L\u00f3pez-Pernas, M. Saqr, L.V.D.E. Vogelsmeier, Structural eqation modeling with R for educational scientists<\/a>. In Saqr, M., L\u00f3pez-Pernas, S. (Eds.), Learning Analytics Methods and Tutorials<\/em>. Springer, Cham, 2024.<\/li>\n\n\n\n
    15. L.V.D.E. Vogelsmeier, M. Saqr, S. L\u00f3pez-Pernas, J. Jongerling, Factor analysis in education research using R<\/a>. In Saqr, M., L\u00f3pez-Pernas, S. (Eds.), Learning Analytics Methods and Tutorials<\/em>. Springer, Cham, 2024.<\/li>\n\n\n\n
    16. M. Saqr, E. Beck, S. L\u00f3pez-Pernas, Psychological networks: A modern approach to analysis of lerning and complex learning processes<\/a>. In Saqr, M., L\u00f3pez-Pernas, S. (Eds.), Learning Analytics Methods and Tutorials<\/em>. Springer, Cham, 2024.<\/li>\n\n\n\n
    17. M. Saqr, Temporal network analysis: Introduction, methods and analysis with R<\/a>. In Saqr, M., L\u00f3pez-Pernas, S. (Eds.), Learning Analytics Methods and Tutorials<\/em>. Springer, Cham, 2024.<\/li>\n\n\n\n
    18. \u00c1. Hern\u00e1ndez-Garc\u00eda, C. Cuenca-Enrique, A. Traxler, S. L\u00f3pez-Pernas, M.\u00c1. Conde-Gonz\u00e1lez, M. Saqr, Communicty detection in learning networks using R<\/a>. In Saqr, M., L\u00f3pez-Pernas, S. (Eds.), Learning Analytics Methods and Tutorials<\/em>. Springer, Cham, 2024.<\/li>\n\n\n\n
    19. M. Saqr, S. L\u00f3pez-Pernas, M.\u00c1. Conde-Gonz\u00e1lez, \u00c1. Hern\u00e1ndez-Garc\u00eda, Social network analysis: A primer, a guide and a tutorial in R<\/a>. In Saqr, M., L\u00f3pez-Pernas, S. (Eds.), Learning Analytics Methods and Tutorials<\/em>. Springer, Cham, 2024.<\/li>\n\n\n\n
    20. S. L\u00f3pez-Pernas, M. Saqr, The why, the how and the when of educational process mining in R<\/a>. In Saqr, M., L\u00f3pez-Pernas, S. (Eds.), Learning Analytics Methods and Tutorials<\/em>. Springer, Cham, 2024.<\/li>\n\n\n\n
    21. S. L\u00f3pez-Pernas, M. Saqr, S. Helske, K. Murphy, Multi-channel sequence analysis in educational research: An introduction and tutorial with R<\/a>. In Saqr, M., L\u00f3pez-Pernas, S. (Eds.), Learning Analytics Methods and Tutorials<\/em>. Springer, Cham, 2024.<\/li>\n\n\n\n
    22. J. Helske, S. Helske, M. Saqr, S. L\u00f3pez-Pernas, K. Murphy, A modern approach to transition analysis and process mining with Markov models in education<\/a>. In Saqr, M., L\u00f3pez-Pernas, S. (Eds.), Learning Analytics Methods and Tutorials<\/em>. Springer, Cham, 2024.<\/li>\n\n\n\n
    23. S. L\u00f3pez-Pernas, M. Saqr, Modelling the dynamics of longitudinal process in education. A tutorial with R for the VaSSTra method<\/a>. In Saqr, M., L\u00f3pez-Pernas, S. (Eds.), Learning Analytics Methods and Tutorials<\/em>. Springer, Cham, 2024.<\/li>\n\n\n\n
    24. M. Saqr, S. L\u00f3pez-Pernas, S. Helske, M. Durand, K. Murphy, M. Studer, G. Ritschard, Sequence analysis in education: Principles, techniques, and tutorial with R<\/a>. In Saqr, M., L\u00f3pez-Pernas, S. (Eds.), Learning Analytics Methods and Tutorials<\/em>. Springer, Cham, 2024.<\/li>\n\n\n\n
    25. L. Scrucca, M. Saqr, S. L\u00f3pez-Pernas, K. Murphy, An introduction and R tutorial to model-based clustering in education via latent profile analysis<\/a>. In Saqr, M., L\u00f3pez-Pernas, S. (Eds.), Learning Analytics Methods and Tutorials<\/em>. Springer, Cham, 2024.<\/li>\n\n\n\n
    26. K. Murphy, S. L\u00f3pez-Pernas, M. Saqr, Dissimilarity-based cluster analysis of educational data: A comperetive tutorial using R<\/a>. In Saqr, M., L\u00f3pez-Pernas, S. (Eds.), Learning Analytics Methods and Tutorials<\/em>. Springer, Cham, 2024.<\/li>\n\n\n\n
    27. J. Jovanovic, S. L\u00f3pez-Pernas, M. Saqr, Predictive modelling in learning analytics: A machine learning approach in R<\/a>. In Saqr, M., L\u00f3pez-Pernas, S. (Eds.), Learning Analytics Methods and Tutorials<\/em>. Springer, Cham, 2024.<\/li>\n\n\n\n
    28. S. L\u00f3pez-Pernas, K. Misiejuk, S. Tikka, J. Kopra, M. Hein\u00e4niemi, M. Saqr, Visualizing and reporting educational data with R<\/a>. In Saqr, M., L\u00f3pez-Pernas, S. (Eds.), Learning Analytics Methods and Tutorials<\/em>. Springer, Cham, 2024.<\/li>\n\n\n\n
    29. S. Tikka, J. Kopra, M. Hein\u00e4niemi, S. L\u00f3pez-Pernas, M. Saqr, Introductory statistics with R for educational researchers<\/a>. In Saqr, M., L\u00f3pez-Pernas, S. (Eds.), Learning Analytics Methods and Tutorials<\/em>. Springer, Cham, 2024.<\/li>\n\n\n\n
    30. J Kopra, S. Tikka, M. Hein\u00e4niemi, S. L\u00f3pez-Pernas, M. Saqr, An R approach to data cleaning and wrangling for education research<\/a>. In Saqr, M., L\u00f3pez-Pernas, S. (Eds.), Learning Analytics Methods and Tutorials<\/em>. Springer, Cham, 2024.<\/li>\n\n\n\n
    31. S. Tikka, J. Korpa, M. Hein\u00e4niemi, S. L\u00f3pez-Pernas, M. Saqr, Getting started with R for educattion research<\/a>. In Saqr, M., L\u00f3pez-Pernas, S. (Eds.), Learning Analytics Methods and Tutorials<\/em>. Springer, Cham, 2024.<\/li>\n\n\n\n
    32. S. L\u00f3pez-Pernas, M. Saqr, J. Conde, L. Del-R\u00edo-Carazo, A broad collection of datasets for educational research training and application<\/a>. In Saqr, M., L\u00f3pez-Pernas, S. (Eds.), Learning Analytics Methods and Tutorials<\/em>. Springer, Cham, 2024.<\/li>\n\n\n\n
    33. S. L\u00f3pez-Pernas, K. Misiejuk, R. Kaliisa, M.\u00c1, Conde-Gonz\u00e1lez, M. Saqr, Capturing the wealth and diversity of learning processes with learning analytics methods<\/a>. In Saqr, M., L\u00f3pez-Pernas, S. (Eds.), Learning Analytics Methods and Tutorials<\/em>. Springer, Cham, 2024.<\/li>\n\n\n\n
    34. M. Saqr, S. L\u00f3pez-Pernas, Why learning and teaching learning analytics is hard: An experience from a real-life course using LA methods<\/a>. In Gon\u00e7alves, J.A.d.C., Lima, J.L.S.d.M., Coelho, J.P., Garc\u00eda-Pe\u00f1alvo, F.J., Garc\u00eda-Holgado, A. (Eds.), Proceedings of TEEM 2023. TEEM 2023. Lecture Notes in Educational Technology<\/em>. Springer, Singapore, 2024.<\/li>\n\n\n\n
    35. R. Elmoazen, M. Saqr, M. Tedre, L. Hirsto, Capturing the sequental pattern of students\u2019 interactions in computer-supported collaborative learning<\/a>. In Gon\u00e7alves, J.A.d.C., Lima, J.L.S.d.M., Coelho, J.P., Garc\u00eda-Pe\u00f1alvo, F.J., Garc\u00eda-Holgado, A. (Eds.), Proceedings of TEEM 2023. TEEM 2023. Lecture Notes in Educational Technology<\/em>. Springer, Singapore, 2024.<\/li>\n\n\n\n
    36. S. L\u00f3pez-Pernas, A. Gordillo, E. Barra, M. Saqr, The dynamics of students\u2019 playing profiles in a programming educational escape room<\/a>. In Gon\u00e7alves, J.A.d.C., Lima, J.L.S.d.M., Coelho, J.P., Garc\u00eda-Pe\u00f1alvo, F.J., Garc\u00eda-Holgado, A. (Eds.), Proceedings of TEEM 2023. TEEM 2023. Lecture Notes in Educational Technology<\/em>. Springer, Singapore, 2024.<\/li>\n\n\n\n
    37. P. Rai, S. L\u00f3pez-Pernas, R. Elmoazen, M. Saqr, More data is not always better data: An exploratory learning analytics study in early prediction<\/a>. In Gon\u00e7alves, J.A.d.C., Lima, J.L.S.d.M., Coelho, J.P., Garc\u00eda-Pe\u00f1alvo, F.J., Garc\u00eda-Holgado, A. (Eds.), Proceedings of TEEM 2023. TEEM 2023. Lecture Notes in Educational Technology<\/em>. Springer, Singapore, 2024.<\/li>\n\n\n\n
    38. K. Huhta, S. L\u00f3pez-Pernas, M. Saqr, Mapping the topics, trends, and themes of educational technology in legal education with topic modelling and network analysis<\/a>. In Gon\u00e7alves, J.A.d.C., Lima, J.L.S.d.M., Coelho, J.P., Garc\u00eda-Pe\u00f1alvo, F.J., Garc\u00eda-Holgado, A. (Eds.), Proceedings of TEEM 2023. TEEM 2023. Lecture Notes in Educational Technology<\/em>. Springer, Singapore, 2024.<\/li>\n\n\n\n
    39. G. Ak\u00e7ap\u0131nar, E. Er, S. L\u00f3pez-Pernas, M. Saqr, How a learning analytics dashboard intervention influences the dynamics of students\u2019 learning behavior<\/a>. In Gon\u00e7alves, J.A.d.C., Lima, J.L.S.d.M., Coelho, J.P., Garc\u00eda-Pe\u00f1alvo, F.J., Garc\u00eda-Holgado, A. (Eds.), Proceedings of TEEM 2023. TEEM 2023. Lecture Notes in Educational Technology<\/em>. Springer, Singapore, 2024.<\/li>\n\n\n\n
    40. M. Saqr, L. Vogelsmeier, S. L\u00f3pez-Pernas, Capturing where learning takes place: A person- specific and person-centered primer<\/a>. Learning and Individual Differences<\/em>, vol. 113, 2024.<\/li>\n\n\n\n
    41. A. Santamar\u00eda Urbieta, S. L\u00f3pez-Pernas, Hint strategies in educational escape rooms: a process mining approach<\/a>. Revista De Educaci\u00f3n<\/em>, no. 1, pp. 13\u201338, 2024.<\/li>\n\n\n\n
    42. N. Pope, H. Vartiainen, J. Kahila, J. Laru, M. Tedre, A no-code AI education tool for learning AI in K-12 by machine learning-driven apps. To apper in the Proceedings of the 24th International Conference on Learning Technologies, <\/em>IEEE.<\/li>\n\n\n\n
    43. S. Hamouda, L. Marshall, K. Sanders, E. Tshukudu, O. Adelakun-Adeyemo, B.A. Becker, E.R. Dodoo, G. Ayorkor Korsah, S. Luvhengo, O. Ola, J. Parkinson, I.T. Sanusi, Working group proposal: Computing education in Africa<\/a>. Proceedings of the 2024 on Innovation and Technology in Computer Science Education V.<\/em>2, pp. 755-756, ACM, 2024.<\/li>\n\n\n\n
    44. I.T. Sanusi, E. Tshukudu, Exploring barriers and strategies to boost scientific output in computing education in Africa: Early insigths<\/a>. Proceedings of the 2024 on Innovation and Technology in Computer Science Education V.1<\/em>, pp. 736-743, ACM 2024.<\/li>\n\n\n\n
    45. O.O. Campbell, I.T. Sanusi, H.I. Atagana, From visual arts to programming: Exploring the impact of achievement in constructionist college CS1 classes<\/a>. Proceedings of the 2024 on Innovation and Technology in Computer Science Education V.1<\/em>, pp. 604-610, ACM, 2024.<\/li>\n\n\n\n
    46. C. Schulte, S. Sentance, S. Sparman, R. Altin, M. Friebrnoon-Yesharim, M. Landman, M.T. R\u00fccker, S. Satavlekar, A. Siegel, M. Tedre, L. Tubino, H. Vartiainen, J.\u00c3. Vel\u00e0zquez-Iturbide, J. Waite, Z. Wu, Values and beliefs underpinning K-12 computing education<\/a>. Proceedings of the 2024 on Innovation and Technology in Computer Science Education V.<\/em>2, pp. 767-768, ACM, 2024.<\/li>\n\n\n\n
    47. M. Apiola, H. Vartiainen, M. Tedre, First year CS students exploring and identifying biases and social injustices in text-to-image generative AI<\/a>. Proceedings of the 2024 on Innovation and Technology in Computer Science Education V.1, <\/em>pp. 485-491, ACM, 2024.<\/li>\n\n\n\n
    48. M. Saqr, R. Cheng, S. L\u00f3pez-Pernas, E.D. Beck, Idiographic artificial intelligence to explain students\u2019 self-regulation: Toward precision education<\/a>. Learning and Individual Differences,<\/em> vol. 114, 2024.<\/li>\n\n\n\n
    49. J. Tyni, A. Turunen, R. Bednarik, J. Kahila, M. Tedre, Can ChaptGPT match experts: Comparing inputs for serius games development.<\/a> International Journal of Serious Games, <\/em>vol. 11, no. 2, pp. 87-106, 2024.<\/li>\n\n\n\n
    50. E.-M. Zahn, S. Sch\u00f6bel, M. Saqr, M. S\u00f6llner, Mapping soft skills and further research directions for higher education: a bibliometric approach with structural topic modelling<\/a>. Studies in Higher Education<\/em>, 2024.<\/li>\n\n\n\n
    51. R. Kaliisa, S. L\u00f3pez-Pernas, M. Saqr, C. Damsa, Exploring the dynamics and trends of knowledge exchange: A structured topic modelling approach of the CSCL conference. Proceedings of the 17th International Conference on Computer-Supported Collaborative Learnin<\/em>g, The International Society of the Learning Sciences, 2024.<\/li>\n\n\n\n
    52. F. Lin, R. Morland, H. Yan, QuizMaster: An adaptive formative assessment system<\/a>. In Sifaleras, A., Lin, F. (Eds.) Generative Intelligence and Intelligent Tutoring Systems<\/em>. ITS 2024. Lecture Notes in Computer Science<\/em>, vol 14798. Springer, Cham, 2024.<\/li>\n\n\n\n
    53. H. Yan, F. Lin, Kinshuk, An AI-learner shared control model for adaptive practicing<\/a>. In Sifaleras, A., Lin, F. (Eds.) Generative Intelligence and Intelligent Tutoring Systems<\/em>. ITS 2024. Lecture Notes in Computer Science<\/em>, vol 14798. Springer, Cham, 2024.<\/li>\n\n\n\n
    54. K. M\u00e4kitalo, M. Tedre, J. Laru, T. Valtonen, M. Iwata, J. Koivisto, Learning computational thinking in co-creation projects with modern educational technology: Experiences from Finland<\/a>. In Abelson, H., Kong, S.-C. (Eds.). Computational Thinking Curricula in K-12: International Implications. <\/em>The MIT Press, 2024.<\/li>\n\n\n\n
    55. Y. Albadarin, M. Saqr, N. Pope, M. Tukiainen, A systematic literature review of empirical research on ChatGPT in education<\/a>. Discover Education, <\/em>vol. 3, article number 60, 2024.<\/li>\n\n\n\n
    56. F.G. Deriba, M. Saqr, M. Tukiainen, Assessment of accessbility in virtural laboratories: A systematic review<\/a>. Frontiers in Education, <\/em>2024.<\/li>\n\n\n\n
    57. M. Saqr, S. L\u00f3pez-Pernas, K. Murphy, How group structure, members\u2019 interactions and teacher facilitation explain the emergence of roles in collaborative learning<\/a>. Learning and Individual Differences, <\/em>vol. 112, 2024.<\/li>\n\n\n\n
    58. H. Vartiainen, J. Kahila, M. Tedre, S. L\u00f3pez-Pernas, N. Pope, Enhancing children\u2019s understanding of algorithmic biases in and with text-to-image generative AI<\/a>. New Media & Society, <\/em>2024.<\/li>\n\n\n\n
    59. M. Saqr, S. S. L\u00f3pez-Pernas (Eds.), Learning analytics methods and tutorials: A practical guide using R<\/a>, Springer, In press.<\/li>\n\n\n\n
    60. J. Conde, S. L\u00f3pez-Pernas, E. Barra, M. Saqr, The temporal dynamics of procrastination and its impact on adademic performance: The case of a task-oriented programming course. The 39th ACM\/SIGAPP Symposium on Applied Computing (SAC \u201924)<\/em>, 2024.<\/li>\n\n\n\n
    61. E. Sointu, S. V\u00e4is\u00e4nen, L. Hirsto, T. Paavalainen, M. Saqr, S. L\u00f3pez-Pernas, T. Valtonen, Creatively opening the constraints of learning analytics in inclusive, Elementary-School Level STEAM Education<\/a>. In: Tillman, D.A. (Eds.) Exploring Perspectives on Creativity Theory and Research in Education<\/em>. Creativity Theory and Action in Education, vol 8. Springer, Cham, 2024.<\/li>\n\n\n\n
    62. I. Kilanioti, M. Saqr, M.\u00c1. Queiruga-Dios, Editorial: Diversity in the social sciences: researching digital education in and for the global south<\/a>. Frontiers in Education, <\/em>vol.9, 2024.<\/li>\n\n\n\n
    63. A. Munoz-Arcentales, J. Conde, \u00c1. Alonzo, J. Salvach\u00faa, W. Velasquez, S. L\u00f3pez-Pernas, Data fusion and homogenization: Two key aspecrts for building digital twins of smart spaces<\/a>. In: Liu, Z. (Eds.), Intelligent Data-Centric Systems, Smart Spaces. Academic Press, 2024.<\/li>\n\n\n\n
    64. R. Kaliisa, K. Misiejuk, S. L\u00f3pez-Pernas, M. Khalil, M. Saqr, Have learning analytics dashboards lived up the hype? A systematic review of impact on students\u2019 achievement, motivation, participation and attitude<\/a>. Proceedings of 14th Learning Analytics and Knowledge Conference, pp. 296-304, ACM, 2024.<\/li>\n\n\n\n
    65. M. Saqr, S. L\u00f3pez-Pernas, Mapping the self in self-regulation using complex dynamic systems approach<\/a>. British Journal of Educational Technology<\/em>, 2024.<\/li>\n\n\n\n
    66. Saqr M.<\/strong> (2024). Group-level analysis of engagement poorly reflects individual students\u2019 processes: Why we need idiographic learning analytics. Computers in Human Behavior<\/em>, art. no. 107991. doi: 10.1016\/j.chb.2023.107991<\/a>.+<\/li>\n\n\n\n
    67. Mertala P., L\u00f3pez-Pernas S., Vartiainen H., Saqr M.<\/strong>, Tedre M. (2024). Digital natives in the scientific literature: A topic modeling approach. Computers in Human Behavior<\/em>, art. no. 108076. doi: 10.1016\/j.chb.2023.108076<\/a>.+<\/li>\n\n\n\n
    68. Bobrowicz K., L\u00f3pez-Pernas S., Teuber Z., Saqr M.<\/strong>, Greiff S. (2024). Prospects in the field of learning and individual differences: Examining the past to forecast the future using bibliometrics. Learning and Individual Differences<\/em>, art. no. 102399. doi: 10.1016\/j.lindif.2023.102399<\/a>.<\/li>\n<\/ol>\n\n\n\n

      2023<\/h3>\n\n\n\n
        \n
      1. K. Bobrowicz, S. L\u00f3pez-Pernas, Z. Tauber, M. Saqr, S. Greiff, Prospects in the field of learning and individual differences: Examining the past to forecast the future using bibliometrics<\/a>. Learning and Individual Differences, <\/em>vol. 109, 2023.<\/li>\n\n\n\n
      2. P. Mertala, S. L\u00f3pez-Pernas, H. Vartiainen, M. Saqr, M. Tedre, Digital natives in the scientific literature: A topic modeling approach<\/a>. Computers in Human Behavior, <\/em>vol. 152, 2023.<\/li>\n\n\n\n
      3. D. L\u00f3pez-Fern\u00e1ndez, A. Gordillo, S. L\u00f3pez-Pernas, E. Tovar, Are remote educational escape rooms designed during the epidemic useful in a post-pandemic face-to-face setting? <\/a> IEEE Internet Computing, <\/em>2023.<\/li>\n\n\n\n
      4. E. Barra, S. L\u00f3pez-Pernas, A. Gordillo, A. Mu\u00f1oz-Arcentales, J. Conde, Empowering database learning through remote educational escape rooms. <\/a>IEEE Internet Computing, <\/em>2023.<\/li>\n\n\n\n
      5. S. L\u00f3pez-Pernas, Educational escape rooms are effective learning activities across educational levels and cotexts: Meta-analysis<\/a>. IEEE Transactions on Learning Technologies,<\/em> 2023.<\/li>\n\n\n\n
      6. R. Klemola, S. L\u00f3pez-Pernas, S. V\u00e4is\u00e4nen, M. Saqr, E. Sointu, L. Hirsto, Learning analytics to explore the motivational profiles of non-traditional practical nurse students: A mixed methods approach<\/a>. Empirical Research in Vocational and Education and Training, <\/em>vol. 15, 2023.<\/li>\n\n\n\n
      7. M. Saqr, Group-level analysis of engagement poorly reflects individual students\u2019 processes: Why we need idiographic learning analytics<\/a>. Computers in Human Behavior<\/em>, 2023.<\/li>\n\n\n\n
      8. M. Saqr, S. L\u00f3pez-Pernas, L. Vogelsmeier, When, how and for whom changes in engagement happen: A transition analysis of instructional variables<\/a>. Computers & Education, <\/em>2023.<\/li>\n\n\n\n
      9. S. Hrastinski, S. Stenbom, M. Saqr, M. Jansson, O. Viberg, Examining the development of K-12 students\u2019 cognitive presence over time: The case of online mathematics tutoring<\/a>. Online Learning, <\/em>vol. 27, no. 3, 2023.<\/li>\n\n\n\n
      10. M. Saqr, W. Matcha, N.A. Uzir, J. Jovanovic, D. Ga\u0161evi\u0107, S. L\u00f3pez-Pernas, Transfering effective learning strategies across learning contexts matters: A study in problem-based learning<\/a>. Australasian Journal of Educational Technology, <\/em>2023.<\/li>\n\n\n\n
      11. S. L\u00f3pez-Pernas, E. Barra, A. Gordillo, \u00c1. Alonso, J. Quemada, Scaling student feedback in software engineering MOOCs. IEEE Software, <\/em>In press.<\/li>\n\n\n\n
      12. J. Kahila, T. Valtonen, S. L\u00f3pez-Pernas, M. Saqr, H. Vartiainen, S. Kahila, M. Tedre, A typology of metagamers: Identifying player types based on beyond the game activities<\/a>. Games and Culture, <\/em>2023.<\/li>\n\n\n\n
      13. M.\u00c1. Conde, A. Georgiev, S. L\u00f3pez-Pernas, J. Jovic, I. Grespo-Mart\u00ednez, M. R. Milic, M. Saqr, K. Pancehva, Definition of a learning analytics ecosystem for the IDELA project piloting<\/a>. In: Zaphiris, P., Ioannou, A. (Eds.). Learning and Collaboration Technologies. HCII 2023<\/em>. Lecture Notes in Computer Science, vol 14040. Springer, 2023.<\/li>\n\n\n\n
      14. R. Elmoazen, S. L\u00f3pez-Pernas, K. Misiejuk, M. Khalil, B. Wasson, M. Saqr, Reflections on technology-enhanced learning in laboratories: Barriers and opportunities<\/a>. In Elmoazen, R., L\u00f3pez-Pernas, S., Misiejuk, K., Khalil, M., Wasson, B., Saqr, M. (Eds.), Proceedings of the Technology-Enhanced Learning in Laboratories workshop (TELL 2023)<\/em>, CEUR-WS, 2023.<\/li>\n\n\n\n
      15. F.G. Deriba, M. Saqr, M. Tukiainen, Exploring barriers and challenges to accessibility in virtual laboratories: a preliminary review<\/a>. In Elmoazen, R., L\u00f3pez-Pernas, S., Misiejuk, K., Khalil, M., Wasson, B., Saqr, M. (Eds.), Proceedings of the Technology-Enhanced Learning in Laboratories workshop (TELL 2023)<\/em>, CEUR-WS, 2023.<\/li>\n\n\n\n
      16. L. Mairinoja, S. L\u00f3pez-Pernas, R. Elmoazen, E.A. Niskanen, T. Kuningas, A. W\u00e4rri, M. Saqr, L. Strauss, International online team-based learning in higher education of biomedicine \u2013 evaluation by learning analytics<\/a>. In Elmoazen, R., L\u00f3pez-Pernas, S., Misiejuk, K., Khalil, M., Wasson, B., Saqr, M. (Eds.), Proceedings of the Technology-Enhanced Learning in Laboratories workshop (TELL 2023)<\/em>, CEUR-WS, 2023.<\/li>\n\n\n\n
      17. S. L\u00f3pez-Pernas, M. Saqr, From variables to states to trajectories (VaSSTra): A method for modelling the longitudinal dynamics of learning and behaviour<\/a>. In: Garc\u00eda-Pe\u00f1alvo, F.J., Garc\u00eda-Holgado, A. (Eds.), Proceedings TEEM 2022: Tenth International Conference on Technological Ecosystems for Enhancing Multiculturality<\/em>. TEEM 2022. Lecture Notes in Educational Technology. Springer, Singapore, 2023.<\/li>\n\n\n\n
      18. M.\u00c1. Conde, S. L\u00f3pez-Pernas, E. Peltekova, K. Pancheva, M. Raspopovic Milic, M. Saqr, Multi-stakeholder perspective on the gap between existing realities and new requirements for online and blended Learning: An exploratory study<\/a>. In: Garc\u00eda-Pe\u00f1alvo, F.J., Garc\u00eda-Holgado, A. (Eds.), Proceedings TEEM 2022: Tenth International Conference on Technological Ecosystems for Enhancing Multiculturality<\/em>. TEEM 2022. Lecture Notes in Educational Technology. Springer, Singapore, 2023.<\/li>\n\n\n\n
      19. E. Sointu, M. Saqr, T. Valtonen, S. Hallberg, S. V\u00e4is\u00e4nen, J. Kankaanp\u00e4\u00e4, V. Tuominen, L. Hirsto, (2023). SITE SPOTLIGHT ARTICLE: Understanding emotional behavior with learning analytics to support pre-service teachers\u2019 learning in challenging content area<\/a>. Journal of Technology and Teacher Education, 31(1), pp. 67-87, 2023.<\/li>\n\n\n\n
      20. S. L\u00f3pez-Pernas, R. Kleimola, S. V\u00e4is\u00e4nen, L. Hirsto, Early detection of dropout factors in vocational education: A large-scale case study from Finland<\/a>. In Hirsto, L., L\u00f3pez-Pernas S., Saqr, M., Sointu, E., Valtonen, T. , V\u00e4is\u00e4nen, S. (Eds.), Proceedings<\/em> of the<\/em> Finnish Learning Analytics and Artificial Intelligence in Education Conference (FLAIEC22). <\/em>CEUR-WS, 2023.<\/li>\n\n\n\n
      21. L. Hirsto, M. Saqr, S. L\u00f3pez-Pernas, T. Valtonen, E. Sointu, S. V\u00e4is\u00e4nen, Bridging education learning analytics and AI: Challenges of the present and thoughts for the future<\/a>. In Hirsto, L., L\u00f3pez-Pernas S., Saqr, M., Sointu, E., Valtonen, T. , V\u00e4is\u00e4nen, S. (Eds.), Proceedings<\/em> of the<\/em> Finnish Learning Analytics and Artificial Intelligence in Education Conference (FLAIEC22). <\/em>CEUR-WS, 2023.<\/li>\n\n\n\n
      22. L. Hirsto, M. Saqr, S. L\u00f3pez-Pernas, T. Valtonen, A systematic narrative review of learning analytics research in K-12 and schools<\/a>. In Hirsto, L., L\u00f3pez-Pernas S., Saqr, M., Sointu, E., Valtonen, T. , V\u00e4is\u00e4nen, S. (Eds.), Proceedings<\/em> of the<\/em> Finnish Learning Analytics and Artificial Intelligence in Education Conference (FLAIEC22). <\/em>CEUR-WS, 2023.<\/li>\n\n\n\n
      23. S. Heikkinen, S. L\u00f3pez-Pernas, J. Malmberg, M. Tedre, M. Saqr, How do business students self-regulate their project management learning? A sequence mining study<\/a>. In Hirsto, L., L\u00f3pez-Pernas S., Saqr, M., Sointu, E., Valtonen, T. , V\u00e4is\u00e4nen, S. (Eds.), Proceedings<\/em> of the<\/em> Finnish Learning Analytics and Artificial Intelligence in Education Conference (FLAIEC22). <\/em>CEUR-WS, 2023.<\/li>\n\n\n\n
      24. M. Nissinen, E.Silvennoinen, M. Saqr, How assessment analytics can help to improve reliability, efficiency, and fairness of entrance examinations<\/a>. In Hirsto, L., L\u00f3pez-Pernas S., Saqr, M., Sointu, E., Valtonen, T. , V\u00e4is\u00e4nen, S. (Eds.), Proceedings<\/em> of the<\/em> Finnish Learning Analytics and Artificial Intelligence in Education Conference (FLAIEC22). <\/em>CEUR-WS, 2023.<\/li>\n\n\n\n
      25. R. Elmoazen, M. Saqr, M. Tedre, L. Hirsto, How social interactions kindle productive online problem-based learning: An exploratory study of the temporal dynamics<\/a>. In Hirsto, L., L\u00f3pez-Pernas S., Saqr, M., Sointu, E., Valtonen, T. , V\u00e4is\u00e4nen, S. (Eds.), Proceedings<\/em> of the<\/em> Finnish Learning Analytics and Artificial Intelligence in Education Conference (FLAIEC22). <\/em>CEUR-WS, 2023.<\/li>\n\n\n\n
      26. S. Sch\u00f6bel, A. Schmitt, D. Benner, M. Saqr, A. Janson, J.M. Leimester, Charting the evolution and future of conversational agents: A research agenda along five waves and new frontiers<\/a>. Information Systems Frontiers<\/em>, 2023.<\/li>\n\n\n\n
      27. B.A. Becker, S. Bradley, J. Maguire, M. Black, T. Crick, M. Saqr, S. Sentance, K. Quille, Computing education research in the UK & Ireland<\/a>. In: Apiola, M., L\u00f3pez-Pernas, S., Saqr, M. (Eds.). Past, Present and Future of Computing Education Research.<\/em> Springer, Cham, 2023.<\/li>\n\n\n\n
      28. V. Dagien\u00e9, Y. G\u00fclbahar, N. Grgunia, S. L\u00f3pez-Pernas, M. Saqr, M. Apiola, G. Stupurien\u00e9, Computing education research in schools<\/a>. In: Apiola, M., L\u00f3pez-Pernas, S., Saqr, M. (Eds.). Past, Present and Future of Computing Education Research.<\/em> Springer, Cham, 2023.<\/li>\n\n\n\n
      29. F.J. Agbo, M. Ntinda, S. L\u00f3pez-Pernas, M. Saqr, M. Apiola, Computing education research in the global south<\/a>. In: Apiola, M., L\u00f3pez-Pernas, S., Saqr, M. (Eds.). Past, Present and Future of Computing Education Research.<\/em> Springer, Cham, 2023.<\/li>\n\n\n\n
      30. M. Apiola, S. L\u00f3pez-Pernas, M. Saqr, L. Malmi, M. Daniels, Exploring the past, present and future of computing education research: An introduction<\/a>. In: Apiola, M., L\u00f3pez-Pernas, S., Saqr, M. (Eds.) Past, Present and Future of Computing Education Research<\/em>. Springer, Cham, 2023.<\/li>\n\n\n\n
      31. M. Saqr, S. L\u00f3pez-Pernas, S. Helse, S. Hrastinski, The longitudinal association between engagement and achievement varies by time, students\u2019 subgroups, and achievement state: A full program study<\/a>. Computers & Education, <\/em>2023.<\/li>\n\n\n\n
      32. M. Saqr, M.R. Milic, K. Pancheva, J. Jovic, E.V. Peltekova, M.\u00c1. Conde, A multimethod synthesis of Covid-19 education research: the tightrope between covidization and meaningfulness<\/a>. Universal Access in the Information Society<\/em>, 2023.<\/li>\n\n\n\n
      33. M. Saqr, S. L\u00f3pez-Pernas, The temporal dynamics of online problem-based learning: Why and when sequence matters<\/a>. International Journal of Computer-Supported Collaborative Learning<\/em>, 2023.<\/li>\n\n\n\n
      34. R. Elmoazen, M. Saqr, M. Khalil, B. Wasson, Learning analytics in virtual laboratories: A systematic literature review of empirical research<\/a>. Smart Learning Environments, <\/em>2023.<\/li>\n\n\n\n
      35. M. Saqr, Modelling within-person idiographic variance could help explain and individualize learning<\/a>. British Journal of Educational Technology, <\/em>2023.\u2019<\/li>\n\n\n\n
      36. M. Saqr, S. L\u00f3pez-Pernas, M. Apiola, Computing education research in social media, news, blogs, patents and blogs: Capturing the impact and the chatter with altmetrics. In: Apiola, M., L\u00f3pez-Pernas, S., Saqr, M. (Eds.). Past, Present and Future of Computing Education Research: A Global Perspective<\/em>, Springer, In press.<\/li>\n\n\n\n
      37. M. Saqr, S. L\u00f3pez-Pernas, J. Jovanovic, D. Ga\u0161evic, Intense, turbulent, or wallowing in the mire: A longitudinal study of cross-course online tactics, strategies, and trajectories<\/a>. The Internet and Higher Education, <\/em>vol. 57, 2023.<\/li>\n\n\n\n
      38. M. Apiola, S. L\u00f3pez-Pernas, M. Saqr, The hands that made computing education research: Top authors, networks, collaboration and newcomers. In: Apiola, M., L\u00f3pez-Pernas, S., Saqr, M. (Eds.). Past, Present and Future of Computing Education Research: A Global Perspective<\/em>, Springer, In press.<\/li>\n\n\n\n
      39. S. L\u00f3pez-Pernas, M. Saqr, M. Apiola, Scientometrics: A concise introduction and a detailed methodology for the mapping of the scientific field of computing education. In: Apiola, M., L\u00f3pez-Pernas, S., Saqr, M. (Eds.). Past, Present and Future of Computing Education Research: A Global Perspective<\/em>, Springer, In press.<\/li>\n\n\n\n
      40. S. L\u00f3pez-Pernas, M. Apiola, M.Saqr, A. Pears, M. Tedre, A scientometric perspective on the evolution of the SIGCSE Technical Symposium: 1970-2021. In: Apiola, M., L\u00f3pez-Pernas, S., Saqr, M. (Eds.). Past, Present and Future of Computing Education Research: A Global Perspective<\/em>, Springer, In press.<\/li>\n\n\n\n
      41. L. Malmi, A. Hellas, P. Ihantola, V. Isom\u00f6tt\u00f6nen, I. Jormanainen, T. Kilamo, A. Knutas, A. Korhonen, M.-J. Laakso, S. L\u00f3pez-Pernas, T. Poranen, T. Salakoski, J. Suhonen, Computing education research in Finland. In: Apiola, M., L\u00f3pez-Pernas, S., Saqr, M. (Eds.). Past, Present and Future of Computing Education Research: A Global Perspective<\/em>, Springer, In press.<\/li>\n\n\n\n
      42. M. Apiola, S. L\u00f3pez-Pernas, M. Saqr, The evolving themes of computing education research: Trends, topic models, and emerging research. In: Apiola, M., L\u00f3pez-Pernas, S., Saqr, M. (Eds.). Past, Present and Future of Computing Education Research: A Global Perspective<\/em>, Springer, In press.<\/li>\n\n\n\n
      43. H. Vartiainen, S. L\u00f3pez-Pernas, M. Saqr, J. Kahila, M. Tedre, T. Valtonen, Mapping students\u2019 temporal pathways in a computational thinking escape room. In Hirsto, L., L\u00f3pez-Pernas S., Saqr, M., Sointu, E., Valtonen, T. , V\u00e4is\u00e4nen, S. (Eds.), Proceedings<\/em> of the<\/em> Finnish Learning Analytics and Artificial Intelligence in Education Conference (FLAIEC22). <\/em>CEUR-WS, In press.<\/li>\n<\/ol>\n\n\n\n

        2022<\/h3>\n\n\n\n
          \n
        1. M. Saqr, S. L\u00f3pez-Pernas, A. Hern\u00e1ndez-Garc\u00eda, M.\u00c1., Conde, O. Poquet, Networks and learning analytics: Addressing educational challenges<\/a>. In Proceedings of NetSciLA22: Networks and Learning Analytics: Addressing Educational Challenges, <\/em>2022.<\/li>\n\n\n\n
        2. M. Saqr, S. L\u00f3pez-Pernas, A. Hern\u00e1ndez-Garc\u00eda, Concluding remarks of the NetSciLA22 workshop<\/a>. In Proceedings of NetSciLA22: Networks and Learning Analytics: Addressing Educational Challenges, <\/em>2022.<\/li>\n\n\n\n
        3. M. Saqr, Is GPDR failing? a tale of the many challenges in interpretations, applications, and enforcement<\/a>. International Journal of Health Sciences<\/em>, vol. 16, no. 5, pp. 1-2, 2022.<\/li>\n\n\n\n
        4. M. Saqr, V. Tuominen, T. Valtonen, E. Sointu, S. V\u00e4is\u00e4nen, L. Hirsto, Teachers\u2019 learning profiles in learning programming: The big picture!,<\/a> Frontiers in Education<\/em>, 2022.<\/li>\n\n\n\n
        5. M. Saqr, S. L\u00f3pez-Pernas, The why, the what and the how to model a dynamic relational learning process with temporal networks<\/a>. In Proceedings of the NetSciLA 2022 Worskhop, 2022.<\/li>\n\n\n\n
        6. S. L\u00f3pez-Pernas, A. Munoz-Arcentales, C. Aparicio, E. Barra, A. Gordillo, J. Salvachua, J. Quemada, Educational data virtual lab: Connecting the dots between data visualization and analysis<\/a>. IEEE Computer Graphics and Applications<\/em>, vol. 42, no. 5, pp. 76-83, 2022.<\/li>\n\n\n\n
        7. J. Malmberg, M. Saqr, H. J\u00e4rvenoja, E. Haataja, Pijeira-D\u00edaz, H.J., S. J\u00e4rvel\u00e4, Modelling the complex interplay between monitoring events for regulated learning with psychological networks<\/a>. In: Giannakos, M., Spikol, D., Di Mitri, D., Sharma, K., Ochoa, X., Hammad, R. (eds), The Multimodal Learning Analytics Handbook, pp. 79-104, Springer, Cham, 2022.<\/li>\n\n\n\n
        8. J. Merikko, K. Ng, M. Saqr, P. Ihantola, To opt in or to opt out? Predicting student preferences for learning analytics-based formative feedback<\/a>. IEEE Access,<\/em> vol. 10, pp. 99195-99204, 2022.<\/li>\n\n\n\n
        9. M. Saqr, S. L\u00f3pez-Pernas, Instant or distant: A temporal network tale of two interaction platforms and their influence on collaboration<\/a>. In: Hilliger, I., Mu\u00f1oz-Merino, P.J., De Laet, T., Ortega-Arranz, A., Farrell, T. (Eds.) Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption<\/em>. EC-TEL 2022. Lecture Notes in Computer Science, vol 13450. Springer, Cham, 2022.<\/li>\n\n\n\n
        10. S. Heikkinen, M. Saqr, J. Malmberg, M. Tedre, Supporting self-regulated learning with learning analytics interventions \u2013 a systematic literature review. Education and Information Technologies<\/em>, In press.<\/li>\n\n\n\n
        11. M. Apiola, S. L\u00f3pez-Pernas, M. Saqr, A. Pears, M. Daniels, L. Malmi, M. Tedre, From a national meeting to an international conference: A scientometric case study of a Finnish computing education conference<\/a>. IEEE Access, <\/em>vol. 10, pp. 66576-66588, 2022.<\/li>\n\n\n\n
        12. T. T\u00f6rm\u00e4nen, H. J\u00e4rvenoja, M. Saqr, J. Malmberg, S. J\u00e4rvel\u00e4, Affective states and regulation of learning during socio-emotional interactions in secondary school collaborative groups<\/a>. British Journal of Educational Psychology, <\/em>2022.<\/li>\n\n\n\n
        13. E. Sointu, T. Valtonen, S. Hallberg, J. Kankaanp\u00e4\u00e4, S. V\u00e4is\u00e4nen, L. Heikkinen, M. Saqr, V. Tuominen, L. Hirsto, Learning analytics and flipped learning in online teaching for supporting preservice teachers\u2019 learning of quantitative methods<\/a>. Seminar.net, <\/em>vol. 18, no.1, 2022.<\/li>\n\n\n\n
        14. M. Saqr, S. L\u00f3pez-Pernas, How CSCL roles emerge, persist, transition, and evolve over time: A four-year longitudinal study<\/a>. Computers & Education, <\/em>vol. 189, 2022.<\/li>\n\n\n\n
        15. T. T\u00f6rm\u00e4nen, H. J\u00e4rvenoja, M. Saqr, J. Malmberg, S. J\u00e4rvel\u00e4, A person-centered approach to study students\u2019 socio-emotional interaction profiles and regulation of collaborative learning<\/a>. Frontiers in Education, <\/em>vol. 7, 2022.<\/li>\n\n\n\n
        16. L. Hirsto, T. Valtonen, M. Saqr, S. Hallberg, E. Sointu, J. Kankaanp\u00e4\u00e4, S. V\u00e4is\u00e4nen, Pupils\u2019 experiences of utilizing learning analytics to support self-regulated learning in two phenomenon-based study modules<\/a>. In E. Langran (Ed.), Proceedings of Society for Information Technology & Teacher Education International Conference 2022<\/em> (pp. 1682-1688). Waynesville, NC USA: Association for the Advancement of Computing in Education (AACE), 2022.<\/li>\n\n\n\n
        17. E. Sointu, M. Saqr, T. Valtonen, S. Hallberg, S. V\u00e4is\u00e4nen, J. Kankaanp\u00e4\u00e4, V. Tuominen, L. Hirsto, Emotional behavior in quantitative research methods course for preservice teachers. Learning analytics approach<\/a>. In E. Langran (Ed.), Proceedings of Society for Information Technology & Teacher Education International Conference 2022<\/em> (pp. 1880-1889). Waynesville, NC USA: Association for the Advancement of Computing in Education (AACE), 2022.<\/li>\n\n\n\n
        18. M. Saqr, Jovanovic, J., O. Viberg, D. Ga\u0161evi\u0107, Is there order in the mess? A single paper meta-analysis of approach to identification of predictors of success in learning analytics<\/a>. Studies in Higher Education, <\/em>2022.<\/li>\n\n\n\n
        19. J. Tyni, A. Tarkiainen, S. L\u00f3pez-Pernas, M. Saqr, J. Kahila, R. Bednarik, M. Tedre, Games and rewards: A scientometric study of rewards in educational and serious games<\/a>. IEEE Access, <\/em>2022.<\/li>\n\n\n\n
        20. M. Saqr, O. Poquet, S. L\u00f3pez-Pernas, Networks in education: A travelogue through five decades<\/a>. IEEE Access, <\/em>2022.<\/li>\n\n\n\n
        21. M. Saqr, S. L\u00f3pez-Pernas, The curious case of centrality measures: A large-scale empirical investigation<\/a>. Journal of Learning Analytics,<\/em> vol. 9, no. 1, 13-31, 2022.<\/li>\n\n\n\n
        22. J. Malmberg, M. Saqr, H. J\u00e4rvenoja, S. J\u00e4rvel\u00e4, How the monitoring events of individual students are associated with phases of regulation<\/a>. Journal of Learning Analytics,<\/em> vol. 9, no. 1, 77-92, 2022.<\/li>\n\n\n\n
        23. O. Viberg, L. Engstr\u00f6m, M. Saqr, S. Hrastinski, Exploring students\u2019 expectations of learning analytics: A person-centered approach<\/a>. Education and Information Technologies, <\/em>2022.<\/li>\n\n\n\n
        24. M. Apiola, M. Saqr, S. L\u00f3pez-Pernas, M. Tedre, Computing education research complied: Keyword trends, building blocks, creators, and dissemination<\/a>. IEEE Access, <\/em>2022.<\/li>\n\n\n\n
        25. I.I. Ismail, M. Saqr, A quantitative synthesis of eight decades of global multiple sclerosis research using bibliometrics. Frontiers in Neurology, <\/em>In press.<\/li>\n\n\n\n
        26. S. L\u00f3pez-Pernas, M. Saqr, A. Gordillo, E. Barra, A learning analytics perspective on educational escape rooms<\/a>. Interactive Learning Environments, <\/em>2022.<\/li>\n\n\n\n
        27. M. Saqr, W. Peeters, Temporal networks in collaborative learning: A case study<\/a>. British Journal of Educational Technology, <\/em>2022.<\/li>\n\n\n\n
        28. R. Elmoazen, M. Saqr, M. Tedre, L. Hirsto, A systematic literature review of empirical research on epistemic network analysis in education<\/a>. IEEE Access, <\/em>2022.<\/li>\n\n\n\n
        29. M. Saqr, R. Elmoazen, M. Tedre, S. L\u00f3pez-Pernas, L. Hirsto, How well centrality measures capture student achievement in computer-supported collaborative learning? \u2013 A systematic review and meta-analysis<\/a>. Educational Research Review, <\/em>vol. 35, 2022.<\/li>\n\n\n\n
        30. M. Saqr, S. L\u00f3pez-Pernas, The curious case of centrality measures: A large-scale empirical investigation. Journal of Learning Analytics<\/em>, In press.<\/li>\n\n\n\n
        31. M. Nissinen, E. Silvennoinen, M. Saqr, Monivalintakysymykset oikeustieteellisen alan yhteisvalintakokeessa \u2013 Hitti vai huti?<\/a> Edilex, <\/em>2022.<\/li>\n<\/ol>\n\n\n\n

          2021<\/h3>\n\n\n\n
            \n
          1. Ofir, Z., Tedre, M. Saqr, M.,  Kliukina, S. End of programme evaluation of Sida\u2019s support to the World Academy of Science (TWAS), 2017-2021.<\/li>\n\n\n\n
          2. L\u00f3pez-Pernas, S., M. Saqr, Bringing synchrony and clarity to complex multi-channel data: A learning analytic study in programming education<\/a>. IEEE Access,<\/em> vol.9, pp. 166531-166541, 2021.<\/li>\n\n\n\n
          3. M. Saqr, S. L\u00f3pez-Pernas, Modelling diffusion in computer-supported collaborative learning: A large scale learning analytics study<\/a>. International Journal of Computer-Supported Collaborative Learning, <\/em>2021.<\/li>\n\n\n\n
          4. T. Valtonen, S. L\u00f3pez-Pernas, M. Saqr, H. Vartiainen, E.T. Sointu, M. Tedre, The nature and building blocks of educational technology research<\/a>. Computers in Human Behavior, <\/em>vol. 128, 2021.<\/li>\n\n\n\n
          5. M. Apiola, M. Tedre, S. L\u00f2pez-Pernas, M. Saqr, M. Daniels, A. Pears, A scientometric journey through the FIE bookshelf: 1982-2020<\/a>. Proceedings of the<\/em> 2021 IEEE Frontiers in Education (FIE) Conference,<\/em> IEEE, 2021.<\/li>\n\n\n\n
          6. M. Apiola, M. Tedre, S. L\u00f2pez-Pernas, M. Saqr, M. Daniels, A. Pears, A scientometric journey through the FIE bookshelf: 1982-2020<\/a>. Proceedings of the<\/em> 2021 IEEE Frontiers in Education (FIE) Conference,<\/em> IEEE, 2021.<\/li>\n\n\n\n
          7. M. Saqr, S. L\u00f3pez-Pernas, The dire cost of early disengagement: A four-year learning analytics study over a full program<\/a>. In De Laet T., Klemke R., Alario-Hoyos C., Hilliger I., Ortega-Arranz A. (eds), Technology-Enhanced Learning for a Free, Safe, and Sustainable World. EC-TEL 2021<\/em>. Lecture Notes in Computer Science, vol 12884. Springer, Cham, 2021.<\/li>\n\n\n\n
          8. M. Saqr, S. L\u00f3pez-Pernas, The longitudinal trajectories of online engagement over a full program<\/a>. Computers & Education,<\/em> vol. 175, 2021.<\/li>\n\n\n\n
          9. M. Saqr, S. L\u00f3pez-Pernas, Towards self-big data<\/a>. International Journal of Health Sciences, <\/em>vol. 15, no. 5, pp. 1-2, 2021.<\/li>\n\n\n\n
          10. M. Saqr, S. L\u00f3pez-Pernas, Idiographic learning analytics: A definition and case study<\/a>. Proceedings of the 2021 International Conference on Advanced Learning<\/em> Technologies<\/em> (pp. 163-165), 2021<\/li>\n\n\n\n
          11. S. Sch\u00f6bel, M. Saqr, A. Janson, Two decades of game concepts in digital learning environments \u2013 A bibliometric study and research agenda<\/a>. Computers & Education, <\/em>2021.<\/li>\n\n\n\n
          12. M. Bermo, M. Saqr, H. Hoffman, D. Patterson, S. Sharar, S. Minoshima, D.H. Lewis, Utility of SPECT functional neuroimaging of brain<\/a>. Frontiers in Psychiatry, <\/em>2021.<\/li>\n\n\n\n
          13. J. Jovanovi\u0107, M. Saqr, S. Joksimovi\u0107, D. Ga\u0161evi\u0107, Students matter the most in learning analytics: The effect of internal and instructional conditions in predicting academic success<\/a>. Computers & Education, <\/em>vol. 172, 2021.<\/li>\n\n\n\n
          14. O. Poquet, B. Chen, M. Saqr, T. Hecking, Using network science in learning analytics: Building bridges towards a common agenda<\/a>. Proceedings of the NetSciLA21 workshop<\/em>, 2021.<\/li>\n\n\n\n
          15. O. Poquet, M. Saqr, B. Chen, Recommendations for network research in learning analytics: To open a conversation<\/a>. Proceedings of the NetSciLA21 workshop<\/em>, 2021.<\/li>\n\n\n\n
          16. S. L\u00f3pez-Pernas, M. Saqr, O. Viberg, Putting it all together: Combining learning analytics methods and data sources to understand students\u2019 approaches to learning programming<\/a>. Sustainability, <\/em>vol. 13, no. 9, 2021.<\/li>\n\n\n\n
          17. M. Saqr, O. Viberg, W. Peeters, Using psychological networks to reveal the interplay between foreign language students\u2019 self-regulated learning tactics<\/a>. Proceedings of the 2020 STELLA Symposium<\/em>, 2021<\/li>\n\n\n\n
          18. M. Saqr, S. L\u00f3pez-Pernas, Idiographic learning analytics: A single student (N=1) approach<\/a>. Companion Proceedings of the 11th International Conference on Learning Analytics & Knowledge (LAK21), <\/em>2021.<\/li>\n\n\n\n
          19. M. Saqr, K. Ng, S.S. Oyelere, M. Tedre, People, ideas, milestones: A scientometric analysis of computational thinking.<\/a> ACM Transactions on Computing Education, <\/em>vol. 21, no. 3, 2021.<\/li>\n\n\n\n
          20. M. Saqr, J. Nouri, U. Fors, O. Viberg, M. Alsuhaibani, A. Alharbi, M. Alharbi, A. Alamer, How networking and social capital influence performance: The role of long-term ties<\/a>. In Antonyuk A., Basov N. (eds.) Networks in the Global World V. Net Glow 2020.<\/em> Lecture Notes in Networks and Systems, vol. 181. Springer, Cham, 2021.<\/li>\n\n\n\n
          21. M. Wedberg, O. Viberg, M. Saqr, Facilitating disciplinary-specific knowledge sharing: A usability study of a dementia library<\/a>. In Proceedings of the 19 World Conference on Mobile, Blended and Seamless Learning, 2021.<\/em><\/li>\n<\/ol>\n\n\n\n

            2020<\/h3>\n\n\n\n
              \n
            1. M. Saqr, O. Viberg, \u201cUsing diffusion network analysis to examine and support knowledge construction in CSCL settings<\/a>\u201c, In Alario-Hoyos C., Rodr\u00edguez-Triana M., Scheffel M., Arnedillo-S\u00e1nchez I., Dennerlein S. (Eds.) Addressing Global Challenges and Quality Education. EC-TEL 2020. Lecture Notes in Computer Science, vol 12315. Springer, Cham, 2020.<\/li>\n\n\n\n
            2. M. Saqr, J. Nouri, H. Vartiainen, M. Tedre, \u201cRobustness and rich clubs in collaborative learning groups: A learning analytics study using network science<\/a>\u201c, Scientific Reports, vol. 10, 2020.<\/li>\n\n\n\n
            3. M. Saqr, A. Al-Mohaimeed, Z. Rasheed, \u201cTear down the walls: Disseminating open access research for a global impact<\/a>\u201c, International Journal of Health Sciences, vol. 15, no. 5, 2020.<\/li>\n\n\n\n
            4. M. Saqr, O. Viberg, H. Vartiainen, \u201cCapturing the participation and social dimensions of computer-supported collaborative learning through social network analysis: which method and measures matter?<\/a>\u201c,  International Journal of Computer-Supported Collaborative Learning, 2020.<\/li>\n\n\n\n
            5. S. Sch\u00f6bel, A. Janson, K. Jahn, B. Kordyaka, O. Turetken, N. Djafarova, M. Saqr, D. Wu, M. S\u00f6llner, M. Adam, P.H. Gap, H. Wesseloh, J.M. Leimeister, \u201cA research agenda for why, what, and how of gamifications designs: Outcomes of an ECIS 2019 panel<\/a>\u201c, Communications of the Association for Information Systems, vol. 46, 2020.<\/li>\n\n\n\n
            6. M. Saqr, B. Wasson, \u201cCOVID-19: Lost opportunities and lessons for the future<\/a>\u201c, International Journal of Health Sciences, vol. 14, no. 3, 2020.<\/li>\n\n\n\n
            7. M. Saqr, J. Nouri, H. Vartiainen, J. Malmberg, \u201cWhat makes an online problem-based group successful? A learning analytics study using social network analysis\u201d, <\/a>BMC Medical Education, vol. 20, no. 1, 2020.<\/li>\n\n\n\n
            8. M. Saqr, C. Suero Montero, \u201cLearning and social networks \u2013 similarities, differences and impact<\/a>\u201c, Proceedings of the IEEE 20th International Conference on Advanced Learning Technologies (ICALT2020), IEEE, 2020.<\/li>\n\n\n\n
            9. M. Saqr, J. Nouri, \u201cHigh resolution temporal network analysis to understand and improve collaborative learning<\/a>\u201c, In Proceedings of the 10th International Conference on Learning Analytics and Knowledge (LAK20), ACM, 2020.<\/li>\n\n\n\n
            10. M. Saqr, O. Viberg, J. Nouri, S.S. Oyelere, \u201cMultimodal temporal network analysis to improve learner support and teaching<\/a>\u201c, In Proceedings of CrossMMLA in Practice: Collecting, Annotating and Analyzing Multimodal Data Across Spaces Co-located with 10th International Learning and Analytics Conference (LAK 2020), 2020.<\/li>\n<\/ol>\n\n\n\n

              2019<\/h3>\n\n\n\n
                \n
              1. Nouri, J., Saqr, M., Fors, U., \u201cPredicting performance of students in a flipped classroom using machine learning: towards automated data-driven formative feedback<\/a>\u201c, Journal of Systemics, Cybernetics and Informatics, vol. 17, no. 2, 17-21.<\/li>\n\n\n\n
              2. Alsuhaibani, M., Alharbi, A., Inam S.N.B., Alarmo, A., Saqr, M. \u201cResearch education in an undergraduate curriculum: Students perspective<\/a>\u201c, International Journal of Health Sciences, vol. 13, no. 2, 30-34, 2019.<\/li>\n\n\n\n
              3. J. Nouri, K. Larsson, M. Saqr, \u201cIdentifying factors for master thesis completion and non-completion through learning analytics and machine learning<\/a>\u201c, In Scheffel M., Broisin J., Pammer-Schindler V., Ioannou A., Schneider J. (Eds.), Transforming Learning with Meaningful Technologies. EC-TEL 2019. Lecture Notes in Computer Science, vol 11722. Springer, Cham, 2019.<\/li>\n\n\n\n
              4. M. Saqr, J. Nouri, I. Jormanainen, \u201cA learning analytics study of the effect of group size on social dynamics and performance in online collaborative learning<\/a>\u201c, In Scheffel M., Broisin J., Pammer-Schindler V., Ioannou A., Schneider J. (Eds.), Transforming Learning with Meaningful Technologies. EC-TEL 2019. Lecture Notes in Computer Science, vol 11722. Springer, Cham, 2019.<\/li>\n\n\n\n
              5. J. Nouri, K. Larsson, M. Saqr, \u201cBachelor thesis analysis: Using machine learning to predict dropout and identify performance factors<\/a>\u201c, International Journal of Learning Analytics and Artificial Intelligence for Education, vol. 1, no.1, 2019.<\/li>\n\n\n\n
              6. J. Nouri, M. Ebner, D. Ifenthaler, M. Saqr, J. Malmberg, M. Khalil, J. Bruun, O. Viberg, M. Gonz\u00e1lez, Z. Papamitsiou, U. D. Berthelsen, \u201cEfforts in Europe for data-driven improvement of education \u2013 A review of learning analytics research in six countries<\/a>\u201c, International Journal of Learning Analytics and Artificial Intelligence for Education, vol. 1, no.1, 2019.<\/li>\n\n\n\n
              7. M. Saqr, M. Tedre, \u201cShould we teach computational thinking and big data principles to medical students?\u201d, International Journal of Health Sciences, vol. 13, no. 4, 2019. https:\/\/ijhs.org.sa\/index.php\/journal\/article\/view\/4310<\/a><\/li>\n\n\n\n
              8. M. Saqr, A. Alamro, \u201cThe role of social network analysis as a learning analytic tool in online problem based learning<\/a>\u201c, BMC Medical Education, vol. 19, 2019.<\/li>\n<\/ol>\n\n\n\n

                2017-2018<\/h3>\n\n\n\n
                  \n
                1. M. Saqr, U. Fors, M. Tedre, J. Nouri, \u201cHow social network analysis can be used to monitor online collaborative learning and guide an informed intervention\u201d. PLoS ONE, vol. 13, no. 3, 2018. https:\/\/doi.org\/10.1371\/journal.pone.0194777<\/a><\/li>\n\n\n\n
                2. M. Saqr, U. Fors, M. Tedre, \u201cHow the study of online collaborative learning can guide teachers and predict students\u2019 performance in a medical course\u201d. BMC Medical Education, vol. 18, no.24, 2018. https:\/\/bmcmededuc.biomedcentral.com\/articles\/10.1186\/s12909-018-1126-1<\/a><\/li>\n\n\n\n
                3. M. Saqr, U. Forst, M. Tedre, \u201cHow learning analytics can early predict under-achieving students in a blended medical education course\u201d, Medical Teacher, vol. 39, no. 7., 2017. https:\/\/doi.org\/10.1080\/0142159X.2017.1309376<\/a><\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

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