1. 2017
  2. 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: Association for Computing Machinery (ACM), p. 454-463 10 p.

    Research output: Scientific - peer-reviewConference contribution

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

    Chen, G., Davis, D., Krause, M., Hauff, C. & Houben, G-J. 2017 Proceedings of the Seventh International Learning Analytics Knowledge Conference, Vancouver, BC, Canada, March 13-17, 2017. p. 578-579 2 p.

    Research output: Scientific - peer-reviewConference contribution

  4. 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, Bratislava, Slovakia, July 09 - 12, 2017. p. 83-88 6 p.

    Research output: Scientific - peer-reviewConference contribution

  5. On the Prevalence of Multiple-Account Cheating in Massive Open Online Learning: A replicant study

    Bao, Y., Chen, G. & Hauff, C. 2017 Proceedings of the 10th International Conference on Educational Data Mining. Hu, X., Barnes, T., Hershkovitz, A. & Paquette, L. (eds.). International Educational Data Mining Society (IEDMS), p. 262-265 4 p.

    Research output: Scientific - peer-reviewConference contribution

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

    Wang, Davis, D., Chen, G. & Paquette 2017 International Conference on Learning Analytics and Knowledge (LAK) 2017.

    Research output: Scientific - peer-reviewConference contribution

  7. 2016
  8. 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

  9. 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

  10. Beyond the MOOC platform: Gaining insights about learners from the social web

    Chen, G., Davis, D. J., Lin, J., Hauff, C. & Houben, G. J. 22 May 2016 WebSci 2016: Proceedings of the 8th ACM Conference on Web Science. New York, NY: Association for Computing Machinery (ACM), p. 15-24 10 p.

    Research output: Scientific - peer-reviewConference contribution

  11. Learning transfer: Does It Take Place in MOOCs? An Investigation into the Uptake of Functional Programming in Practice

    Chen, G., Davis, D. J., Hauff, C. & Houben, G. J. 25 Apr 2016 L@S 2016: Proceedings of the 3rd 2016 ACM Conference on Learning @ Scale. New York, NY: Association for Computing Machinery (ACM), p. 409-418 10 p.

    Research output: Scientific - peer-reviewConference contribution

  12. Encouraging Metacognition & Self-Regulation in MOOCs through Increased Learner Feedback

    Davis, D., Chen, G., Jivet, I., Hauff, C. & Houben, G-J. 1 Apr 2016 LAL 2016 - Learning Analytics for Learners: Proceedings of the LAK 2016 Workshop on Learning Analytics for Learners. Bull, S., Ginon, B. M., Kay, J., Kickmeier-Rust, M. D. & Johnson, M. D. (eds.). CEUR, p. 17-22 6 p. (CEUR Workshop Proceedings; vol. 1596)

    Research output: Scientific - peer-reviewConference contribution

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