1. 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: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  2. Can I have a Mooc2Go, please? On The Viability of Mobile vs. Stationary Learning

    Zhao, Y., Robal, T., Lofi, C. & Hauff, C., Sep 2018, Europ. Conf. on Technology Enhanced Learning (EC-TEL). Leeds, UK

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  3. Can Learning Analytics Find Success in Didactical Measurements? Results from a MOOC Case Study

    Khalil, M. & Ebner, M., 2018, Digital Workplace Learning: Bridging Formal and Informal Learning with Digital Technologies. Ifenthaler, D. (ed.). Cham: Springer International Publishing AG, p. 211-225 15 p.

    Research output: Chapter in Book/Report/Conference proceedingChapterScientific

  4. Can you ink while you blink? Assessing mental effort in a sensor-based calligraphy trainer

    Limbu, B. H., Jarodzka, H., Klemke, R. & Specht, M., 2 Jul 2019, In : Sensors (Switzerland). 19, 14, p. 1-17 17 p., 3244.

    Research output: Contribution to journalArticleScientificpeer-review

  5. CaptureBias: Supporting Media Scholars with Ambiguity-Aware Bias Representation for News Videos

    Jong, M. D., Mavridis, P., Aroyo, L., Bozzon, A., Vos, J. D., Oomen, J., Dimitrova, A. & Badenoch, A., 2018, Proceedings of the 1st Workshop on Subjectivity, Ambiguity and Disagreement in Crowdsourcing, and Short Paper Proceedings of the 1st Workshop on Disentangling the Relation Between Crowdsourcing and Bias Management. Aroyo, L., Dumitrache, A., Paritosh, P., Quinn, A., Welty, C., Checco, A., Demartini, G., Gadiraju, U. & Sarasua, C. (eds.). CEUR, Vol. 2276. p. 32-40 9 p. 4. (CEUR Workshop Proceedings; vol. 2276).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  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: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  7. Chancen und Grenzen von Learning Analytics: Projektergebnisse bzgl. der automatischen Datenerhebung

    Ebner, M. & Khalil, M., 2017, Austria: Verlag Mayer. 13 p.

    Research output: Book/ReportReportScientific

  8. Characterising and Mitigating Aggregation-Bias in Crowdsourced Toxicity Annotations

    Balayn, A., Mavridis, P., Bozzon, A., Timmermans, B. & Szlávik, Z., 2018, Proceedings of the 1st Workshop on Subjectivity, Ambiguity and Disagreement in Crowdsourcing, and Short Paper Proceedings of the 1st Workshop on Disentangling the Relation Between Crowdsourcing and Bias Management. Aroyo, L., Dumitrache, A., Paritosh, P., Quinn, A., Welty, C., Checco, A., Demartini, G., Gadiraju, U. & Sarasua, C. (eds.). CEUR, Vol. 2276. p. 67-71 5 p. 7. (CEUR Workshop Proceedings; vol. 2276).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  9. Chatbots as conversational recommender systems in urban contexts

    Kucherbaev, P., Psyllidis, A. & Bozzon, A., 2017, CitRec '17 Proceedings of the International Workshop on Citizens for Recommender Systems. New York: Association for Computing Machinery (ACM), p. 1-2 2 p. 6

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  10. Chatterbox: Conversational Interfaces for Microtask Crowdsourcing

    Mavridis, P., Huang, O., Qiu, S., Gadiraju, U. & Bozzon, A., 2019, UMAP'19: Proceedings of the 27th Conference on User Modeling, Adaptation and Personalization. New York, NY, USA: Association for Computing Machinery (ACM), p. 243-251 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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