LA Publications (2024)

  1. M. Saqr, M.J. Schreuder, S. López-Pernas, Why educational research needs a complex system revolution that embraces individual differences, heterogeneity, and uncertainty. In Saqr, M., López-Pernas, S. (Eds.), Learning Analytics Methods and Tutorials. Springer, Cham, 2024.
  2. J. Jongerling, S. López-Pernas, M. Saqr, L.V.D.E. Vogelsmeier, Structural eqation modeling with R for educational scientists. In Saqr, M., López-Pernas, S. (Eds.), Learning Analytics Methods and Tutorials. Springer, Cham, 2024.
  3. L.V.D.E. Vogelsmeier, M. Saqr, S. López-Pernas, J. Jongerling, Factor analysis in education research using R. In Saqr, M., López-Pernas, S. (Eds.), Learning Analytics Methods and Tutorials. Springer, Cham, 2024.
  4. M. Saqr, E. Beck, S. López-Pernas, Psychological networks: A modern approach to analysis of lerning and complex learning processes. In Saqr, M., López-Pernas, S. (Eds.), Learning Analytics Methods and Tutorials. Springer, Cham, 2024.
  5. M. Saqr, Temporal network analysis: Introduction, methods and analysis with R. In Saqr, M., López-Pernas, S. (Eds.), Learning Analytics Methods and Tutorials. Springer, Cham, 2024.
  6. Á. Hernández-García, C. Cuenca-Enrique, A. Traxler, S. López-Pernas, M.Á. Conde-González, M. Saqr, Communicty detection in learning networks using R. In Saqr, M., López-Pernas, S. (Eds.), Learning Analytics Methods and Tutorials. Springer, Cham, 2024.
  7. M. Saqr, S. López-Pernas, M.Á. Conde-González, Á. Hernández-García, Social network analysis: A primer, a guide and a tutorial in R. In Saqr, M., López-Pernas, S. (Eds.), Learning Analytics Methods and Tutorials. Springer, Cham, 2024.
  8. S. López-Pernas, M. Saqr, The why, the how and the when of educational process mining in R. In Saqr, M., López-Pernas, S. (Eds.), Learning Analytics Methods and Tutorials. Springer, Cham, 2024.
  9. S. López-Pernas, M. Saqr, S. Helske, K. Murphy, Multi-channel sequence analysis in educational research: An introduction and tutorial with R. In Saqr, M., López-Pernas, S. (Eds.), Learning Analytics Methods and Tutorials. Springer, Cham, 2024.
  10. J. Helske, S. Helske, M. Saqr, S. López-Pernas, K. Murphy, A modern approach to transition analysis and process mining with Markov models in education. In Saqr, M., López-Pernas, S. (Eds.), Learning Analytics Methods and Tutorials. Springer, Cham, 2024.
  11. S. López-Pernas, M. Saqr, Modelling the dynamics of longitudinal process in education. A tutorial with R for the VaSSTra method. In Saqr, M., López-Pernas, S. (Eds.), Learning Analytics Methods and Tutorials. Springer, Cham, 2024.
  12. M. Saqr, S. López-Pernas, S. Helske, M. Durand, K. Murphy, M. Studer, G. Ritschard, Sequence analysis in education: Principles, techniques, and tutorial with R. In Saqr, M., López-Pernas, S. (Eds.), Learning Analytics Methods and Tutorials. Springer, Cham, 2024.
  13. L. Scrucca, M. Saqr, S. López-Pernas, K. Murphy, An introduction and R tutorial to model-based clustering in education via latent profile analysis. In Saqr, M., López-Pernas, S. (Eds.), Learning Analytics Methods and Tutorials. Springer, Cham, 2024.
  14. K. Murphy, S. López-Pernas, M. Saqr, Dissimilarity-based cluster analysis of educational data: A comperetive tutorial using R. In Saqr, M., López-Pernas, S. (Eds.), Learning Analytics Methods and Tutorials. Springer, Cham, 2024.
  15. J. Jovanovic, S. López-Pernas, M. Saqr, Predictive modelling in learning analytics: A machine learning approach in R. In Saqr, M., López-Pernas, S. (Eds.), Learning Analytics Methods and Tutorials. Springer, Cham, 2024.
  16. S. López-Pernas, K. Misiejuk, S. Tikka, J. Kopra, M. Heinäniemi, M. Saqr, Visualizing and reporting educational data with R. In Saqr, M., López-Pernas, S. (Eds.), Learning Analytics Methods and Tutorials. Springer, Cham, 2024.
  17. S. Tikka, J. Kopra, M. Heinäniemi, S. López-Pernas, M. Saqr, Introductory statistics with R for educational researchers. In Saqr, M., López-Pernas, S. (Eds.), Learning Analytics Methods and Tutorials. Springer, Cham, 2024.
  18. J Kopra, S. Tikka, M. Heinäniemi, S. López-Pernas, M. Saqr, An R approach to data cleaning and wrangling for education research. In Saqr, M., López-Pernas, S. (Eds.), Learning Analytics Methods and Tutorials. Springer, Cham, 2024.
  19. S. Tikka, J. Korpa, M. Heinäniemi, S. López-Pernas, M. Saqr, Getting started with R for educattion research. In Saqr, M., López-Pernas, S. (Eds.), Learning Analytics Methods and Tutorials. Springer, Cham, 2024.
  20. S. López-Pernas, M. Saqr, J. Conde, L. Del-Río-Carazo, A broad collection of datasets for educational research training and application. In Saqr, M., López-Pernas, S. (Eds.), Learning Analytics Methods and Tutorials. Springer, Cham, 2024.
  21. S. López-Pernas, K. Misiejuk, R. Kaliisa, M.Á, Conde-González, M. Saqr, Capturing the wealth and diversity of learning processes with learning analytics methods. In Saqr, M., López-Pernas, S. (Eds.), Learning Analytics Methods and Tutorials. Springer, Cham, 2024.
  22. M. Saqr, S. López-Pernas, Why learning and teaching learning analytics is hard: An experience from a real-life course using LA methods. In Gonçalves, J.A.d.C., Lima, J.L.S.d.M., Coelho, J.P., García-Peñalvo, F.J., García-Holgado, A. (Eds.), Proceedings of TEEM 2023. TEEM 2023. Lecture Notes in Educational Technology. Springer, Singapore, 2024.
  23. R. Elmoazen, M. Saqr, M. Tedre, L. Hirsto, Capturing the sequental pattern of students’ interactions in computer-supported collaborative learning. In Gonçalves, J.A.d.C., Lima, J.L.S.d.M., Coelho, J.P., García-Peñalvo, F.J., García-Holgado, A. (Eds.), Proceedings of TEEM 2023. TEEM 2023. Lecture Notes in Educational Technology. Springer, Singapore, 2024.
  24. S. López-Pernas, A. Gordillo, E. Barra, M. Saqr, The dynamics of students’ playing profiles in a programming educational escape room. In Gonçalves, J.A.d.C., Lima, J.L.S.d.M., Coelho, J.P., García-Peñalvo, F.J., García-Holgado, A. (Eds.), Proceedings of TEEM 2023. TEEM 2023. Lecture Notes in Educational Technology. Springer, Singapore, 2024.
  25. P. Rai, S. López-Pernas, R. Elmoazen, M. Saqr, More data is not always better data: An exploratory learning analytics study in early prediction. In Gonçalves, J.A.d.C., Lima, J.L.S.d.M., Coelho, J.P., García-Peñalvo, F.J., García-Holgado, A. (Eds.), Proceedings of TEEM 2023. TEEM 2023. Lecture Notes in Educational Technology. Springer, Singapore, 2024.
  26. K. Huhta, S. López-Pernas, M. Saqr, Mapping the topics, trends, and themes of educational technology in legal education with topic modelling and network analysis. In Gonçalves, J.A.d.C., Lima, J.L.S.d.M., Coelho, J.P., García-Peñalvo, F.J., García-Holgado, A. (Eds.), Proceedings of TEEM 2023. TEEM 2023. Lecture Notes in Educational Technology. Springer, Singapore, 2024.
  27. G. Akçapınar, E. Er, S. López-Pernas, M. Saqr, How a learning analytics dashboard intervention influences the dynamics of students’ learning behavior. In Gonçalves, J.A.d.C., Lima, J.L.S.d.M., Coelho, J.P., García-Peñalvo, F.J., García-Holgado, A. (Eds.), Proceedings of TEEM 2023. TEEM 2023. Lecture Notes in Educational Technology. Springer, Singapore, 2024.
  28. M. Saqr, L. Vogelsmeier, S. López-Pernas, Capturing where learning takes place: A person- specific and person-centered primer. Learning and Individual Differences, vol. 113, 2024.
  29. A. Santamaría Urbieta, S. López-Pernas, Hint strategies in educational escape rooms: a process mining approach. Revista De Educación, no. 1, pp. 13–38, 2024.
  30. 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, IEEE.
  31. 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. Proceedings of the 2024 on Innovation and Technology in Computer Science Education V.2, pp. 755-756, ACM, 2024.
  32. I.T. Sanusi, E. Tshukudu, Exploring barriers and strategies to boost scientific output in computing education in Africa: Early insigths. Proceedings of the 2024 on Innovation and Technology in Computer Science Education V.1, pp. 736-743, ACM 2024.
  33. O.O. Campbell, I.T. Sanusi, H.I. Atagana, From visual arts to programming: Exploring the impact of achievement in constructionist college CS1 classes. Proceedings of the 2024 on Innovation and Technology in Computer Science Education V.1, pp. 604-610, ACM, 2024.
  34. C. Schulte, S. Sentance, S. Sparman, R. Altin, M. Friebrnoon-Yesharim, M. Landman, M.T. Rücker, S. Satavlekar, A. Siegel, M. Tedre, L. Tubino, H. Vartiainen, J.Ã. Velàzquez-Iturbide, J. Waite, Z. Wu, Values and beliefs underpinning K-12 computing education. Proceedings of the 2024 on Innovation and Technology in Computer Science Education V.2, pp. 767-768, ACM, 2024.
  35. M. Apiola, H. Vartiainen, M. Tedre, First year CS students exploring and identifying biases and social injustices in text-to-image generative AI. Proceedings of the 2024 on Innovation and Technology in Computer Science Education V.1, pp. 485-491, ACM, 2024.
  36. M. Saqr, R. Cheng, S. López-Pernas, E.D. Beck, Idiographic artificial intelligence to explain students’ self-regulation: Toward precision education. Learning and Individual Differences, vol. 114, 2024.
  37. J. Tyni, A. Turunen, R. Bednarik, J. Kahila, M. Tedre, Can ChaptGPT match experts: Comparing inputs for serius games development. International Journal of Serious Games, vol. 11, no. 2, pp. 87-106, 2024.
  38. E.-M. Zahn, S. Schöbel, M. Saqr, M. Söllner, Mapping soft skills and further research directions for higher education: a bibliometric approach with structural topic modelling. Studies in Higher Education, 2024.
  39. R. Kaliisa, S. López-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 Learning, The International Society of the Learning Sciences, 2024.
  40. F. Lin, R. Morland, H. Yan, QuizMaster: An adaptive formative assessment system. In Sifaleras, A., Lin, F. (Eds.) Generative Intelligence and Intelligent Tutoring Systems. ITS 2024. Lecture Notes in Computer Science, vol 14798. Springer, Cham, 2024.
  41. H. Yan, F. Lin, Kinshuk, An AI-learner shared control model for adaptive practicing. In Sifaleras, A., Lin, F. (Eds.) Generative Intelligence and Intelligent Tutoring Systems. ITS 2024. Lecture Notes in Computer Science, vol 14798. Springer, Cham, 2024.
  42. K. Mäkitalo, M. Tedre, J. Laru, T. Valtonen, M. Iwata, J. Koivisto, Learning computational thinking in co-creation projects with modern educational technology: Experiences from Finland. In Abelson, H., Kong, S.-C. (Eds.). Computational Thinking Curricula in K-12: International Implications. The MIT Press, 2024.
  43. Y. Albadarin, M. Saqr, N. Pope, M. Tukiainen, A systematic literature review of empirical research on ChatGPT in education. Discover Education, vol. 3, article number 60, 2024.
  44. F.G. Deriba, M. Saqr, M. Tukiainen, Assessment of accessbility in virtural laboratories: A systematic review. Frontiers in Education, 2024.
  45. M. Saqr, S. López-Pernas, K. Murphy, How group structure, members’ interactions and teacher facilitation explain the emergence of roles in collaborative learning. Learning and Individual Differences, vol. 112, 2024.
  46. H. Vartiainen, J. Kahila, M. Tedre, S. López-Pernas, N. Pope, Enhancing children’s understanding of algorithmic biases in and with text-to-image generative AI. New Media & Society, 2024.
  47. M. Saqr, S. S. López-Pernas (Eds.), Learning analytics methods and tutorials: A practical guide using R, Springer, In press.
  48. J. Conde, S. López-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 ’24), 2024.
  49. E. Sointu, S. Väisänen, L. Hirsto, T. Paavalainen, M. Saqr, S. López-Pernas, T. Valtonen, Creatively opening the constraints of learning analytics in inclusive, Elementary-School Level STEAM Education. In: Tillman, D.A. (Eds.) Exploring Perspectives on Creativity Theory and Research in Education. Creativity Theory and Action in Education, vol 8. Springer, Cham, 2024.
  50. I. Kilanioti, M. Saqr, M.Á. Queiruga-Dios, Editorial: Diversity in the social sciences: researching digital education in and for the global south. Frontiers in Education, vol.9, 2024.
  51. A. Munoz-Arcentales, J. Conde, Á. Alonzo, J. Salvachúa, W. Velasquez, S. López-Pernas, Data fusion and homogenization: Two key aspecrts for building digital twins of smart spaces. In: Liu, Z. (Eds.), Intelligent Data-Centric Systems, Smart Spaces. Academic Press, 2024.
  52. R. Kaliisa, K. Misiejuk, S. López-Pernas, M. Khalil, M. Saqr, Have learning analytics dashboards lived up the hype? A systematic review of impact on students’ achievement, motivation, participation and attitude. Proceedings of 14th Learning Analytics and Knowledge Conference, pp. 296-304, ACM, 2024.
  53. M. Saqr, S. López-Pernas, Mapping the self in self-regulation using complex dynamic systems approach. British Journal of Educational Technology, 2024.
  54. Saqr M. (2024). Group-level analysis of engagement poorly reflects individual students’ processes: Why we need idiographic learning analytics. Computers in Human Behavior, art. no. 107991. doi: 10.1016/j.chb.2023.107991.+
  55. Mertala P., López-Pernas S., Vartiainen H., Saqr M., Tedre M. (2024). Digital natives in the scientific literature: A topic modeling approach. Computers in Human Behavior, art. no. 108076. doi: 10.1016/j.chb.2023.108076.+
  56. Bobrowicz K., López-Pernas S., Teuber Z., Saqr M., 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, art. no. 102399. doi: 10.1016/j.lindif.2023.102399.