{"id":1738,"date":"2022-02-09T12:53:52","date_gmt":"2022-02-09T10:53:52","guid":{"rendered":"https:\/\/sites.uef.fi\/edtech\/?page_id=1738"},"modified":"2022-02-09T12:53:52","modified_gmt":"2022-02-09T10:53:52","slug":"publications","status":"publish","type":"page","link":"https:\/\/sites.uef.fi\/edtech\/research-labs-and-focus-groups\/learning-analytics\/publications\/","title":{"rendered":"Publications of Learning Analytics Lab"},"content":{"rendered":"

Publication Lists 2022<\/strong><\/span><\/h2>\n
    \n
  1. M. Saqr, R. Elmoazen, M. Tedre, S. L\u00f3pez-Pernas, L. Hirsto,\u00a0How well centrality measures capture student achievement in computer-supported collaborative learning? \u2013 A systematic review and meta-analysis<\/a>.\u00a0Educational Research Review,\u00a0<\/em>vol. 35, 2022.<\/li>\n
  2. M. Saqr, S. L\u00f3pez-Pernas, The curious case of centrality measures: A large-scale empirical investigation.\u00a0Journal of Learning Analytics<\/em>, In press.<\/li>\n
  3. M. Nissinen, E. Silvennoinen, M. Saqr,\u00a0Monivalintakysymykset oikeustieteellisen alan yhteisvalintakokeessa \u2013 Hitti vai huti?<\/a>\u00a0Edilex,\u00a0<\/em>2022.<\/li>\n<\/ol>\n

    Publication Lists 2021<\/strong><\/span><\/h2>\n
      \n
    1. Ofir, Z., Tedre, M. Saqr, M.,\u00a0 Kliukina, S. End of programme evaluation of Sida\u2019s support to the World Academy of Science (TWAS), 2017-2021.<\/li>\n
    2. L\u00f3pez-Pernas, S., M. Saqr,\u00a0Bringing synchrony and clarity to complex multi-channel data: A learning analytic study in programming education<\/a>.\u00a0IEEE Access,<\/em>\u00a0vol.9, pp. 166531-166541, 2021.<\/li>\n
    3. M. Saqr, S. L\u00f3pez-Pernas,\u00a0Modelling diffusion in computer-supported collaborative learning: A large scale learning analytics study<\/a>.\u00a0International Journal of Computer-Supported Collaborative Learning,\u00a0<\/em>2021.<\/li>\n
    4. T. Valtonen, S. L\u00f3pez-Pernas, M. Saqr, H. Vartiainen, E.T. Sointu, M. Tedre,\u00a0The nature and building blocks of educational technology research<\/a>.\u00a0Computers in Human Behavior,\u00a0<\/em>vol. 128, 2021.<\/li>\n
    5. M. Apiola, M. Tedre, S. L\u00f2pez-Pernas, M. Saqr, M. Daniels, A. Pears,\u00a0A scientometric journey through the FIE bookshelf: 1982-2020<\/a>.\u00a0Proceedings of the<\/em>\u00a02021 IEEE Frontiers in Education (FIE) Conference,<\/em>\u00a0IEEE, 2021.<\/li>\n
    6. M. Apiola, M. Tedre, S. L\u00f2pez-Pernas, M. Saqr, M. Daniels, A. Pears,\u00a0A scientometric journey through the FIE bookshelf: 1982-2020<\/a>.\u00a0Proceedings of the<\/em>\u00a02021 IEEE Frontiers in Education (FIE) Conference,<\/em>\u00a0IEEE, 2021.<\/li>\n
    7. M. Saqr, S. L\u00f3pez-Pernas,\u00a0The 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),\u00a0Technology-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
    8. M. Saqr, S. L\u00f3pez-Pernas,\u00a0The longitudinal trajectories of online engagement over a full program<\/a>.\u00a0Computers & Education,<\/em>\u00a0vol. 175, 2021.<\/li>\n
    9. M. Saqr, S. L\u00f3pez-Pernas,\u00a0Towards self-big data<\/a>.\u00a0International Journal of Health Sciences,\u00a0<\/em>vol. 15, no. 5, pp. 1-2, 2021.<\/li>\n
    10. M. Saqr, S. L\u00f3pez-Pernas,\u00a0Idiographic learning analytics: A definition and case study<\/a>.\u00a0Proceedings of the 2021 International Conference on Advanced Learning<\/em>\u00a0Technologies<\/em>\u00a0(pp. 163-165), 2021<\/li>\n
    11. S. Sch\u00f6bel, M. Saqr, A. Janson,\u00a0Two decades of game concepts in digital learning environments \u2013 A bibliometric study and research agenda<\/a>.\u00a0Computers & Education,\u00a0<\/em>2021.<\/li>\n
    12. M. Bermo, M. Saqr, H. Hoffman, D. Patterson, S. Sharar, S. Minoshima, D.H. Lewis,\u00a0Utility of SPECT functional neuroimaging of brain<\/a>.\u00a0Frontiers in Psychiatry,\u00a0<\/em>2021.<\/li>\n
    13. J. Jovanovi\u0107<\/span>, M. Saqr, S. Joksimovi\u0107<\/span>, D. Ga\u0161evi\u0107<\/span>,\u00a0Students matter the most in learning analytics: The effect of internal and instructional conditions in predicting academic success<\/a>.\u00a0Computers & Education,\u00a0<\/em>vol. 172, 2021.<\/li>\n
    14. O. Poquet, B. Chen, M. Saqr, T. Hecking,\u00a0Using network science in learning analytics: Building bridges towards a common agenda<\/a>.\u00a0Proceedings of the NetSciLA21 workshop<\/em>, 2021.<\/li>\n
    15. O. Poquet, M. Saqr, B. Chen,\u00a0Recommendations for network research in learning analytics: To open a conversation<\/a>.\u00a0Proceedings of the NetSciLA21 workshop<\/em>, 2021.<\/li>\n
    16. S. L\u00f3pez-Pernas, M. Saqr, O. Viberg,\u00a0Putting it all together: Combining learning analytics methods and data sources to understand students\u2019 approaches to learning programming<\/a>.\u00a0Sustainability,\u00a0<\/em>vol. 13, no. 9, 2021.<\/li>\n
    17. M. Saqr, O. Viberg, W. Peeters,\u00a0Using psychological networks to reveal the interplay between foreign language students\u2019 self-regulated learning tactics<\/a>.\u00a0Proceedings of the 2020 STELLA Symposium<\/em>, 2021<\/li>\n
    18. M. Saqr, S. L\u00f3pez-Pernas,\u00a0Idiographic learning analytics: A single student (N=1) approach<\/a>.\u00a0Companion Proceedings of the 11th International Conference on Learning Analytics & Knowledge (LAK21),\u00a0<\/em>2021.<\/li>\n
    19. M. Saqr, K. Ng, S.S. Oyelere, M. Tedre,\u00a0People, ideas, milestones: A scientometric analysis of computational thinking.<\/a>\u00a0ACM Transactions on Computing Education,\u00a0<\/em>vol. 21, no. 3, 2021.<\/li>\n
    20. M. Saqr, J. Nouri, U. Fors, O. Viberg, M. Alsuhaibani, A. Alharbi, M. Alharbi, A. Alamer,\u00a0How networking and social capital influence performance: The role of long-term ties<\/a>. In Antonyuk A., Basov N. (eds.)\u00a0Networks in the Global World V. Net Glow 2020.<\/em>\u00a0Lecture Notes in Networks and Systems, vol. 181. Springer, Cham, 2021.<\/li>\n
    21. M. Wedberg, O. Viberg, M. Saqr,\u00a0Facilitating disciplinary-specific knowledge sharing: A usability study of a dementia library<\/a>. In\u00a0Proceedings of the 19 World Conference on Mobile, Blended and Seamless Learning, 2021.<\/em><\/li>\n<\/ol>\n

      Publication Lists 2020<\/strong><\/span><\/h2>\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
      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
      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
      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,\u00a0 International Journal of Computer-Supported Collaborative Learning, 2020.<\/li>\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
      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
      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,\u00a0<\/a>BMC Medical Education, vol. 20, no. 1, 2020.<\/li>\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
      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
      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

        Publication Lists 2019<\/strong><\/span><\/h2>\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
        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
        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
        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
        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
        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
        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.\u00a0https:\/\/ijhs.org.sa\/index.php\/journal\/article\/view\/4310<\/a><\/li>\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

          Publication Lists 2018<\/strong><\/span><\/h2>\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.\u00a0https:\/\/doi.org\/10.1371\/journal.pone.0194777<\/a><\/li>\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.\u00a0https:\/\/bmcmededuc.biomedcentral.com\/articles\/10.1186\/s12909-018-1126-1<\/a><\/li>\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.\u00a0https:\/\/doi.org\/10.1080\/0142159X.2017.1309376<\/a><\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

            Publication Lists 2022 M. Saqr, R. Elmoazen, M. Tedre, S. L\u00f3pez-Pernas, L. Hirsto,\u00a0How well centrality measures capture student achievement in computer-supported collaborative learning? \u2013 A systematic review and meta-analysis.\u00a0Educational Research Review,\u00a0vol. 35, 2022. M. Saqr, S. L\u00f3pez-Pernas, The curious case of centrality measures: A large-scale empirical investigation.\u00a0Journal of Learning Analytics, In press. M. Nissinen, E. 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Hirsto,\u00a0How well centrality measures capture student achievement in computer-supported collaborative learning? \u2013 A systematic review and meta-analysis.\u00a0Educational Research Review,\u00a0vol. 35, 2022. M. Saqr, S. L\u00f3pez-Pernas, The curious case of centrality measures: A large-scale empirical investigation.\u00a0Journal of Learning Analytics, In press. M. Nissinen, E. 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