1. 2018
  2. Gamification in MOOCs - General Overview

    Khalil, M., Davis, D. & Wong, J. Apr 2018 Open Education Global Conference 2018. 6 p.

    Research output: Scientific - peer-reviewConference contribution

  3. From Learners to Earners: Enabling MOOC Learners to Apply Their Skills and Earn Money in an Online Market Place

    Chen, G., Davis, D., Krause, M., Aivaloglou, E., Hauff, C. & Houben, G-J. 2018 (Accepted/In press) In : IEEE Transactions on Learning Technologies. PP, 99, p. 264-274 12 p.

    Research output: Scientific - peer-reviewArticle

  4. The Half-Life of MOOC Knowledge: A Randomized Trial Evaluating the Testing Effect in MOOCs

    Davis, D., Kizilcec, R. F., Hauff, C. & Houben, G-J. 2018 LAK'18 Proceedings of the 8th International Conference on Learning Analytics and Knowledge. New York: Association for Computing Machinery (ACM), p. 1-10 10 p.

    Research output: Scientific - peer-reviewConference contribution

  5. 2017
  6. Follow the successful crowd: Raising MOOC completion rates through social comparison at scale

    Davis, D. J., Jivet, I., Kizilcec, R. F., Chen, G., Hauff, C. & Houben, G. J. 13 Mar 2017 LAK 2017 Conference Proceedings of the 7th International Learning Analytics and Knowledge Conference. New York, NY: Association for Computing Machinery (ACM), p. 454-463 10 p.

    Research output: Scientific - peer-reviewConference contribution

  7. Buying time: Enabling learners to become earners with a real-world paid task recommender system

    Chen, G., Davis, D. J., Krause, M., Hauff, C. & Houben, G-J. 2017 LAK 2017 Conference Proceedings of the 7th International Learning Analytics and Knowledge Conference. New York, NY: Association for Computing Machinery (ACM), p. 578-579 2 p.

    Research output: Scientific - peer-reviewConference contribution

  8. Certificate Achievement Unlocked: How Does MOOC Learners' Behaviour Change?

    Zhao, Y., Davis, D., Chen, G., Lofi, C., Hauff, C. & Houben, G-J. 2017 Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization, UMAP 2017. New York, NY: Association for Computing Machinery (ACM), p. 83-88 6 p.

    Research output: Scientific - peer-reviewConference contribution

  9. Enabling Real-Time Adaptivity in MOOCs with a Personalized Next-Step Recommendation Framework

    Pardos, Z. A., Tang, S., Davis, D. & Vu Le, C. 2017 L@S'17 Proceedings of the Fourth (2017) ACM Conference on Learning @ Scale. New York, NY: Association for Computing Machinery (ACM), p. 23-32 10 p.

    Research output: Scientific - peer-reviewConference contribution

  10. Workshop on Integrated Learning Analytics of MOOC Post-Course Development

    Wang, Y., Davis, D., Chen, G. & Paquette, L. 2017 LAK 2017 Conference Proceedings of the 7th International Learning Analytics and Knowledge Conference. New York, NY: Association for Computer Machinery, p. 506-507 2 p.

    Research output: Scientific - peer-reviewConference contribution

  11. 2016
  12. On the Impact of Personality in Massive Open Online Learning

    Chen, G., Davis, D. J., Hauff, C. & Houben, G. J. 13 Jul 2016 UMAP 2016: Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization. Association for Computing Machinery (ACM), p. 121-130 10 p.

    Research output: Scientific - peer-reviewConference contribution

  13. Gauging MOOC Learners' Adherence to the Designed Learning Path

    Davis, D., Chen, G., Hauff, C. & Houben, G-J. 1 Jun 2016 Proceedings of the 9th International Conference on Educational Data Mining, EDM 2016. Barnes, T., Chi, M. & Feng, M. (eds.). International Educational Data Mining Society (IEDMS), p. 54-61 8 p.

    Research output: Scientific - peer-reviewConference contribution

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