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LA Publications (2024)
T. Paavilainen, S. López-Pernas, S. Väisänen, S. Kontkanen, L. Hirsto, Using learning analytics to support self-regulated learning in primary education – A learning design perspective . Technology, Knowledge and Learning, 2024.
M.Z. Teka, F.G. Deriba, Advancing media objectivity: A deep learning model for detection of bias in Amharic news . Proceedings of the 2024 International Symposium of Systems, Advanced Technologies and Knowledge , 2024.
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 . International Conference on Information and Communication Technology for Development for Africa (ICT4DA), Bahir Dar, Ethiopia, 2024, pp. 241-246, 2024.
Mustafa, M.Y., Tlili, A., Lampropoulos, G., Huang, R., Jandrić, P., Zhao, J., Salha, S., Xu, L., Panda, S., Kinshuk, S. López-Pernas, M. Saqr, A systematic literature reviews on artificial intelligence in education (AIED): A roadmap to a future agenda . Smart Learning Environments , 11, 2024.
M. Saqr, S. López-Pernas, Why explainable AI may not be enough: Predictions and mispredictions in decision making in education . Smart Learning Environments, 11, 2024.
M. Denojean-Mairet, S. López-Pernas, F. Agbo, M. Tedre, A literature review on the integration of microlearning and social media . Smart Learning Environments, 11 , 2024.
S. López-Pernas, A. Gordillo, E. Barra, M. Saqr, Tracking students’ progress in educational escape rooms through a sequence analysis inspired dashboards . In: Ferreira Mello, R., Rummel, N., Jivet, I., Pishtari, G., Ruipérez Valiente, J.A. (eds) Technology Enhanced Learning for Inclusive and Equitable Quality Education . EC-TEL 2024. Lecture Notes in Computer Science , vol 15160. Springer, Cham, 2024.
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? Smart Learning Environments , vol. 11, no. 40, 2024.
H. Ito, S. López-Pernas, M. Saqr, A scoping review of idiographic research in education: Too little, but not too late . In 2024 IEEE International Conference on Advanced Learning Technologies (ICALT), pp. 10-12, IEEE, 2024.
M. Saqr, S. López-Pernas, Momentary emotions emerge and evolve differently, yet are suprisingly stable with students . In 2024 IEEE International Conference on Advanced Learning Technologies (ICALT), pp. 86-90, IEEE, 2024.
R. Elmoazen, M. Saqr, L. Hirsto, M. Tedre, Capturing temporal pathways of collaborative roles: A multilayered analytical approach using community of inquiry . International Journal of Computer-Supported Collaborative Learning , 2024.
E.Barra, A. Pozo, S. López-Pernas, A. Alonso, A. Gordillo, Integration of an open source identity management system in educational platforms . Journal of Web Engineering , vol. 23, no. 4, 2024.
M. Saqr, M.J. Schreuder, S. López-Pernas, Why educational research needs a complex system revolution that embraces individual differences, heterogeneity, and uncertaint y. In Saqr, M., López-Pernas, S. (Eds.), Learning Analytics Methods and Tutorials . Springer, Cham, 2024.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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 Learnin g, The International Society of the Learning Sciences, 2024.
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.
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.
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.
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.
F.G. Deriba, M. Saqr, M. Tukiainen, Assessment of accessbility in virtural laboratories: A systematic review . Frontiers in Education, 2024.
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.
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.
M. Saqr, S. S. López-Pernas (Eds.), Learning analytics methods and tutorials: A practical guide using R , Springer, In press.
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.
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.
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.
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.
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.
M. Saqr, S. López-Pernas, Mapping the self in self-regulation using complex dynamic systems approach . British Journal of Educational Technology , 2024.
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 .+
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 .+
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 .