1. 2018
  2. Concept Focus: Semantic Meta-Data For Describing MOOC Content

    Mesbah, S., Chen, G., Torre, M. V., Bozzon, A., Lofi, C. & Houben, G-J. Jun 2018 (Accepted/In press) Europ. Conf. on Technology Enhanced Learning (EC-TEL). Leeds, UK

    Research output: Scientific - peer-reviewConference contribution

  3. 2017
  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 2016
  10. 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

  11. 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

  12. 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

  13. 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

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