Large-Scale Learning Analytics: Modeling Learner Behavior & Improving Learning Outcomes in Massive Open Online Courses
This software allows learners in any edX course to plan their goals/intentions for each course week and monitor their progress towards them in real time. In creating this, I also offer an API to enable any real-time data collection and feedback in edX. Published as: Davis, D., Triglianos, V., Hauff, C., Houben, G.J (2018) SRLx: An Personalized Learner Interface for MOOCs. In Proceedings of the 13th European Conference on Technology-Enhanced Learning, EC-TEL '18.
This software encourages retrieval practice (or the testing effect) by sporadically presenting edX learners with a quiz question from a previous section/chapter in the course. We also used the data collected from it to track the extent to which MOOC learners retain knowledge over the long term. Published as: Davis, D., Kizilcec, R.F., Hauff, C., Houben, G.J. (2018) The Half-Life of MOOC Knowledge: A Randomized Trial Evaluating the Testing Effect in MOOCs. In Proceedings of 8th International Conference on Learning Analytics and Knowledge, LAK ’18.
This weekly feedback mechanism for edX learners shows a spider chart comparing their behavior to previously successful learners. Published as: Davis, D., Jivet, I., Kizilcec, R.F., Chen, G., Hauff, C., Houben, G.J. (2017) Follow the Successful Crowd: Raising MOOC Completion Rates through Social Comparison at Scale. In Proceedings of 7th International Conference on Learning Analytics and Knowledge, LAK ’17.
This software exists because I wanted to do an experiment using in-video quizzes and found a total scarcity of open-source in-video quizing software. This software enables the creation of in-video quizzes (as well as normal quizzes and normal videos) with full activity logging capabilities. This has also been built in a way that makes it ready to be used in crowdsourcing contexts by using a token assignment/validation system. Published as: Davis, D., Hauff, C., Houben, G.J. (2018) Evaluating Crowdworkers as a Proxy for Online Learners in Video-Based Learning Contexts. In Proceedings of the 21st ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW ’18.