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2017
Türkay, S., & Wong, T. (2017). What engages MOOC learners: An interview study with ChinaX learners. In Poster presented at the Annual meeting of American Educational Research Association.
Türkay, S., & Wong, T. (2017). What engages MOOC learners: An interview study with ChinaX learners. In Poster presented at the Annual meeting of American Educational Research Association.
Whitehill, J., Mohan, K., Seaton, D., Rosen, Y., & Tingley, D. (2017). MOOC Dropout Prediction: How to Measure Accuracy? In Proceedings of the Fourth (2017) ACM Conference on Learning@ Scale (pp. 161-164). ACM.
Whitehill, J., Mohan, K., Seaton, D., Rosen, Y., & Tingley, D. (2017). MOOC Dropout Prediction: How to Measure Accuracy? In Proceedings of the Fourth (2017) ACM Conference on Learning@ Scale (pp. 161-164). ACM.
Lopez, G., Seaton, D. T., Ang, A., Tingley, D., & Chuang, I. (2017). Google BigQuery for Education: Framework for Parsing and Analyzing edX MOOC Data. In Proceedings of the Fourth (2017) ACM Conference on Learning@ Scale (pp. 181-184). ACM.
Lopez, G., Seaton, D. T., Ang, A., Tingley, D., & Chuang, I. (2017). Google BigQuery for Education: Framework for Parsing and Analyzing edX MOOC Data. In Proceedings of the Fourth (2017) ACM Conference on Learning@ Scale (pp. 181-184). ACM.
Ciregna, E. M., & Perez, E. (2017). Emerging challenges in digital higher ed. Harvard Gazette.
Ciregna, E. M., & Perez, E. (2017). Emerging challenges in digital higher ed. Harvard Gazette.
Milano, B. (2017). Harvard boosts on-campus reuse of online course content. Harvard Gazette.
Milano, B. (2017). Harvard boosts on-campus reuse of online course content. Harvard Gazette.
Milano, B. (2017). Adaptive learning featured in HarvardX course. Harvard Gazette.
Milano, B. (2017). Adaptive learning featured in HarvardX course. Harvard Gazette.
Rushkin, I., Rosen, Y., Ang, A., Fredericks, C., Tingley, D., Blink, M. J., & Lopez, G. (2017). Adaptive Assessment Experiment in a HarvardX MOOC. Proceedings of the 10th International Conference on Educational Data Mining, 466-471.
Rushkin, I., Rosen, Y., Ang, A., Fredericks, C., Tingley, D., Blink, M. J., & Lopez, G. (2017). Adaptive Assessment Experiment in a HarvardX MOOC. Proceedings of the 10th International Conference on Educational Data Mining, 466-471.
We report an experimental implementation of adaptive learning functionality in a self-paced HarvardX MOOC (massive open online course). In MOOCs there is need for evidence-based instructional designs that create the optimal conditions for learners, who...
2016
Turkay, S., & Mouton, S. (2016). The educational impact of whiteboard animations: An experiment using popular social science lessons. Proceedings of the MIT Learning International Networks Consortium.
Turkay, S., & Mouton, S. (2016). The educational impact of whiteboard animations: An experiment using popular social science lessons. Proceedings of the MIT Learning International Networks Consortium.
Whiteboard animations are increasingly used in education despite little evidence of their efficacy. In this study, we measured the impact of whiteboard animations and other common instructional formats on learning outcomes, experience, and motivation. We...
Simon, C. (2016). MOOCs ahead. Harvard Gazette.
Simon, C. (2016). MOOCs ahead. Harvard Gazette.
Whitehill, J. (2016). Association for the Advancement in Artificial Intelligence (AAAI). Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI 2016).
Whitehill, J. (2016). Association for the Advancement in Artificial Intelligence (AAAI). Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI 2016).
Williams, J. J., Kim, J., Rafferty, A., Maldonado, S., Gajos, K., Lasecki, W. S., & Heffernan, N. (2016). AXIS: Generating Explanations at Scale with Learnersourcing and Machine Learning. Proceedings of the Third Annual ACM Conference on Learning at Scale.
Williams, J. J., Kim, J., Rafferty, A., Maldonado, S., Gajos, K., Lasecki, W. S., & Heffernan, N. (2016). AXIS: Generating Explanations at Scale with Learnersourcing and Machine Learning. Proceedings of the Third Annual ACM Conference on Learning at Scale.
Williams, J. J., Lombrozo, T., Hsu, A., Huber, B., & Kim, J. (2016). Revising Learner Misconceptions Without Feedback: Prompting for Reflection on Anomalous Facts. Proceedings of CHI (2016), 34th Annual ACM Conference on Human Factors in Computing Systems.
Williams, J. J., Lombrozo, T., Hsu, A., Huber, B., & Kim, J. (2016). Revising Learner Misconceptions Without Feedback: Prompting for Reflection on Anomalous Facts. Proceedings of CHI (2016), 34th Annual ACM Conference on Human Factors in Computing Systems.