Insights we gained so far:

2020

Journals:

  1. Tsai, Y‐S, Rates, D., Moreno-Marcos, M. P., Muñoz‐Merino, P. J., Jivet, I., Scheffel, M., Drachsler H., Delgado Kloos, C,  Gašević, D (2020). Learning analytics in European higher education–trends and barriersComputers & Education, 103933, ISSN 0360-1315, https://doi.org/10.1016/j.compedu.2020.103933.
  2. Whitelock‐Wainwright, A, Gašević, D, Tsai, Y‐S, Drachsler H., Scheffel, M., Muñoz‐Merino, P. J., Tammets, K., Delgado Kloos, C. (2020). Assessing the validity of a learning analytics expectation instrument: A multinational study. J Comput Assist Learn. 2020; 132. https://doi.org/10.1111/jcal.12401.
  3. George-Petru Ciordas-Hertel, Schneider, J., Ternier, S., Drachsler, H., (2020). Adopting Trust in Learning Analytics Infrastructure: A Structured Literature Review.  Journal of Universal Computer Science, Vol. 25, No. 13, pp. 1668-1686.
  4. van Halem, N., van Klaveren, C., Drachsler, H., Schmitz, M., Cornelisz, I. (2020). Tracking Patterns in Self-Regulated Learning Using Students’ Self-Reports and Online Trace Data. Frontline Learning Research Vol. 8 no 3 special issue (2020) 142 – 165 ISSN 2295-3159

Games:

  1. Schmitz, Marcel; Scheffel, Maren; Bemelmans, Roger; Drachsler, Hendrik (2020): Fellowship Of The Learning Activity – Learning Analytics 4 Learning Design  Link to Promovideo of the Game. https://doi.org/10.25385/zuyd.9884279

Position / Policy papers:

  1. Hansen, J., Rensing, C., Hermann, O., & Drachsler, H. (2020). Verhaltenskodex für Trusted Learning Analytics: Entwurf für die Hessischen Hochschulen. Frankfurt am Main: Innovationsforum Trusted Learning Analytics Goethe-Universität Frankfurt am Main. Available at: http://nbn-resolving.de/urn:nbn:de:0111-dipfdocs-189038.

Research posters:

  1. Atezaz Ahmad, Jan Schneider, Hendrik Drachsler, Open Learning Analytics Indicator Repository (OpenLAIR), DIPF | Leibniz Institute for Research and Information in Education, LAK20 (2020)

Books / Book chapters:

  1. Drachsler, H., & Goldhammer, F. (2020). Learning Analytics and eAssessment—Towards Computational Psychometrics by Combining Psychometrics with Learning Analytics. In. Burgos, D. (Ed.) (2020). Radical Solutions and Learning Analytics. pp. 67-80. Singapore: Springer. DOI: https://doi.org/10.1007/978-981-15-4526-9
  2. Jaakonmäki, R., vom Brocke, J., Dietze, S., Drachsler, H., Fortenbacher, A., Helbig, R., Kickmeier-Rust, M., Marenzi, I., Fernández, Á.S., Yun, H. (2020). Learning Analytics Cookbook – How to Support Learning Processes Through Data Analytics and Visualization. SpringerBriefs in Business Process Management, XI, 93, DOI: 10.1007/978-3-030-43377-2, ISSN: 2197-9618

2019

Journals:

  1. Schneider, J., Romano, G., & Drachsler, H. (2019). Beyond Reality—Extending a Presentation Trainer with an Immersive VR Module. Sensors, 19(16), 3457.
  2. Di Mitri, D.; Schneider, J.; Specht, M.; Drachsler, H. (2019) Detecting Mistakes in CPR Training with Multimodal Data and Neural Networks. Sensors 2019, 17, 3099.
  3. Romano, G., and Schneider, J., and Drachsler, H. (2019). Dancing Salsa with Machines Filling the Gap of Dancing Learning Solutions. Sensors 2019, 17, 3661.

Conferences:

  1. Wollny, S., Schneider, J., Rittberger, M., Drachsler, H. (2019). What can I help you with today? – Exploring Opportunities of Learner Modeling for Online Educational Portals. DeLFI 2019 – Die 17. Fachtagung Bildungstechnologien der Fachgruppe Bildungstechnologien der gi e.V. Humboldt Universität zu Berlin, 16.-19. September 2019.
  2. Biedermann, D., Kalbfell, L., Schneider, J., Drachsler, H. (2019). Stakeholder attitudes towards digitalization in higher education institutions. DeLFI 2019 – Die 17. Fachtagung Bildungstechnologien der Fachgruppe Bildungstechnologien der gi e.V. Humboldt Universität zu Berlin, 16.-19. September 2019.
  3. Scheffel, M., Tsai, Y., Gasevic, D., and Drachsler, H. (2019). Policy matters: Expert recommendations for learning analytics policy. 14th European Conference on Technology Enhanced Learning, EC-TEL 2019, Delft, 16-19 September 2019, Proceedings (Lecture Notes in Computer Science).Cham: Springer
  4. Scheffel, M., van Limbeek, E., Joppe, D., van Hooijdonk, J., Kockelkoren, C., Schmitz, M., Ebus, P., Sloep, P., and Drachsler, H. (2019). The means to a blend: A practical model for the redesign of face-to-face education to blended learning. 14th European Conference on Technology Enhanced Learning, EC-TEL 2019, Delft, 16-19 September 2019, Proceedings (Lecture Notes in Computer Science).Cham: Springer
  5. DiMitri, D., Schneider, J., Klemke, R., Specht, M. & Drachsler, H. (2019). Read Between the Lines: An Annotation Tool for Multimodal Data for Learning. In: Proceedings of International Conference on Learning Analytics and Knowledge, Arizona, US, March 7–9, 2019 (LAK ’19).
  6. Di Mitri D., Schneider J., Specht M., Drachsler H. (2019) The Multimodal Learning Analytics Pipeline. In Proceedings of the Artificial Intelligence and Adaptive Education Conference  – AIAED’19. Beijing, China: IEEE. (Slideshare)

Workshop Papers:

    1. Di Mitri, D., Schneider, J., Specht, M., & Drachsler, H. (2019) Multimodal Pipeline: A generic approach for handling multimodal data for supporting learning. 1st workshop on AI-based Multimodal Analytics for Understanding Human Learning in Real-world Educational Contexts (AIMA4EDU) IJCAI’19 Macau, China.  *Best Paper Award 
    2. Schneider, J., Di Mitri, D. & Drachsler, H. (2019). Multimodal Learning Analytics Runtime Framework. In: Proceedings of International Conference on Learning Analytics and Knowledge, Arizona, US, March 7–9, 2019 (LAK ’19).*Best Demo Award 2019
    3. Wollny, S., Schneider, J., Rittberger, M. & Drachsler, H. (2019). Am I planning smart? – Analysing student goals. In: Proceedings of International Conference on Learning Analytics and Knowledge, Arizona, US, March 7–9, 2019 (LAK ’19).
    4. Schneider, J., Di Mitri, D. & Drachsler, H. (2019). Multimodal Tutor Builder Kit. In: Proceedings of International Conference on Learning Analytics and Knowledge, Arizona, US, March 7–9, 2019 (LAK ’19).
    5. De Croon, R., Millecamp, M. A. R. T. I. J. N., Ochoa, X., Bodily, R., Kay, J., Drachsler, H., & Conati, C. (2019). VISLA: Visual Approaches to Learning Analytics. In Companion Proceeding of the 9th International Conference on Learning Analytics & Knowledge (LAK’19) (pp. 750-753). Solar.
    6. Schneider, J., Di Mitri, D., Specht, M., & Drachsler, H. (2019) Multimodal Learning Analytics Runtime Framework. In Spikol, D. et al. (Eds.), Proceedings of the Third Multimodal Learning Analytics Across (Physical and Digital) Spaces (CrossMMLA).

2018

Proceedings:

  1. Pammer-Schindler, V., Pérez-Sanagustín, M., Drachsler, H., Elferink, R. & Scheffel (Eds.), M. (Eds.) (2018). Lifelong technology-enhanced learning. 13th European Conference on Technology Enhanced Learning, EC-TEL 2018, Leeds, UK, September 3-5, 2018, Proceedings (Lecture Notes in Computer Science, Bd. 11082).Cham: Springer

Journals:

  1. Drachsler, H. & Schneider, J. (2018). Special Issue on multimodal learning analytics. Journal of Computer Assisted Learning
  2. Di Mitri D, Schneider J, Specht M, Drachsler H. (2018). From signals to knowledge: A conceptual model for multimodal learning analytics. J Comput Assist Learn. 2018;34:338–349.
  3. Schröder, H., Thaeter, L., Henze, L., Drachsler, H., Rossaint, R. & Sopka, S. (2018). Patientenübergaben in der Ausbildung? Eine systematische Analyse des Trainingsbedarfs unter Medizinstudierenden. Zeitschrift für Evidenz, Fortbildung und Qualität im Gesundheitswesen
  4. Pijeira-Díaz, H.J., Drachsler, H., Kirschner, P.A. & Järvelä, S. (2018). Profiling sympathetic arousal in a physics course: How active are students? Journal of Computer Assisted Learning
  5. Drachsler, H. (2018). Trusted Learning Analytics. Synergie (6), 40-43
  6. Pijeira-Díaz, H.J., Drachsler, H., Järvelä, S. & Kirschner, P.A. (2018). Sympathetic arousal commonalities and arousal contagion during collaborative learning: How attuned are triad members? Computers in Human Behavior, 2019 (Volume 91), 188-197

Conferences:

  1. Schmitz, M., Scheffel, M., van Limbeek, E., van Halem, N., Cornelisz, I., van Klaveren, C., Bemelmans, R. & Drachsler, H. (2018). Investigating the relationships between online activity, learning strategies and grades to create learning analytics-supported learning designs. 13th European Conference on Technology Enhanced Learning, EC-TEL 2018, Leeds, UK, September 3-5, 2018, Proceedings (Lecture Notes in Computer Science, Vol. 11082, pp. 311-325). Cham: Springer
  2. Schmitz, M., Scheffel, M., van Limbeek, E., Bemelmans, R. & Drachsler, H. (2018). “Make It Personal!” – Gathering Input from Stakeholders for a Learning Analytics-Supported Learning Design Tool  13th European Conference on Technology Enhanced Learning, EC-TEL 2018, Leeds, UK, September 3-5, 2018, Proceedings (Lecture Notes in Computer Science, Vol. 11082, pp. 297-310). Cham: Springer
  3. Praharaj, S., Scheffel, M., Drachsler, H. & Specht, M. (2018). Multimodal Analytics for Real-Time Feedback in Co-located Collaboration. 13th European Conference on Technology Enhanced Learning, EC-TEL 2018, Leeds, UK, September 3-5, 2018, Proceedings (Lecture Notes in Computer Science, Vol. 11082, pp. 187-201). Cham: Springer
  4. Schneider, J., di Mitri, D., Limbu, B. & Drachsler, H. (2018). Multimodal Learning Hub: A Tool for Capturing Customizable Multimodal Learning Experiences. 13th European Conference on Technology Enhanced Learning, EC-TEL 2018, Leeds, UK, September 3-5, 2018, Proceedings (Lecture Notes in Computer Science, Vol. 11082, pp. 45-58). Cham: Springer
  5. Biedermann, D., Schneider, J. & Drachsler, H. (2018). The Learning Analytics Indicator Repository. 13th European Conference on Technology Enhanced Learning, EC-TEL 2018, Leeds, UK, September 3-5, 2018, Proceedings (Lecture Notes in Computer Science, Vol. 11082, pp. 579-582). Cham: Springer

Book chapters:

  1. Ternier, S., Scheffel, M. & Drachsler, H. (2018). Towards a Cloud-Based Big Data Infrastructure for Higher Education Institutions: Emerging Technologies for Teaching and Learning. In A. Essa, M. Spector, Y.M. Huang, R. Tortorella, R. Koper, T.W. Chang, V. Kumar, Y. Li & Z. Zhang (Eds.), Frontiers of cyberlearning: Emerging technologies for teaching and learning (Lecture Notes in Educational Technology, pp. ?). Singapore: Springer
  2. Ifenthaler, D. & Drachsler, H. (2018). Learning analytics: Spezielle Forschungsmethoden in der Bildungstechnologie. In H. Niegemann & A. Weinberger (Hrsg.), Lernen mit Bildungstechnologien (Springer Reference Psychologie, S. 1-20). Berlin: Springer

Workshop Papers:

  1. Di Mitri, D., Schneider, J., & Drachsler, H. (2018). Multimodal challenge: Analytics beyond user-computer interaction data. The Fourth LAK Hackathon: Benefiting learning through novel data sources, standards and infrastructure. Amsterdam: LAK Hackathon
  2. Di Mitri, D., Schneider, J., Specht, M., & Drachsler, H. (2018). The big five: Addressing recurrent multimodal learning data challenges. Second Multimodal Learning Analytics Across (Physical and Digital) Spaces (CrossMMLA) workshop @ LAK18.Sydney: University of Technology