@newspaperarticle {1094801,
	title = {MOOCs ahead},
	journal = {Harvard Gazette},
	year = {2016},
	url = {http://news.harvard.edu/gazette/story/2016/07/moocs-ahead/},
	author = {Clea Simon}
}
@conference {1089756,
	title = {The educational impact of whiteboard animations: An experiment using popular social science lessons},
	booktitle = {Proceedings of the MIT Learning International Networks Consortium},
	year = {2016},
	abstract = {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 recruited participants from Amazon{\textquoteright}s Mechanical Turk (N=568; 326 females). Participants were randomly assigned to view online lessons about popular topics in social science from wellestablished scholars in one of five common instructional formats: whiteboard animation, electronic slideshow, stage lecture, audio, and text. Results showed a benefit of whiteboard animations in terms of learning and subjective experiences of enjoyment and engagement.},
	author = {Turkay, S. and Mouton, S.}
}
@proceedings {692506,
	title = {The Civic Mission of MOOCs: Measuring Engagement across Political Differences in Forums},
	journal = {Proceedings of the Third Annual ACM Conference on Learning at Scale},
	year = {2016},
	author = {Justin Reich and Brandon Stewart and Kimia Mavon and Tingley, Dustin}
}
@inbook {692501,
	title = {Making Static Lessons Adaptive through Crowdsourcing \&amp; Machine Learning},
	booktitle = { Design Recommendations for Intelligent Tutoring Systems: Domain Modeling},
	volume = {4},
	year = {2016},
	abstract = {Text\&nbsp;components\&nbsp;of\&nbsp;digital\&nbsp;lessons\&nbsp;and\&nbsp;problems\&nbsp;are\&nbsp;often\&nbsp;static:\&nbsp;they\&nbsp;are\&nbsp;written\&nbsp;once\&nbsp;and\&nbsp;too\&nbsp;often\&nbsp;not\&nbsp;improved\&nbsp;over\&nbsp;time.\&nbsp;This\&nbsp;is\&nbsp;true\&nbsp;for\&nbsp;both\&nbsp;large\&nbsp;text\&nbsp;components\&nbsp;like\&nbsp;webpages\&nbsp;and\&nbsp;documents\&nbsp;as\&nbsp;well\&nbsp;as\&nbsp;the\&nbsp;small\&nbsp;components\&nbsp;that\&nbsp;form\&nbsp;the\&nbsp;building\&nbsp;blocks\&nbsp;of\&nbsp;courses:\&nbsp;explanations,\&nbsp;hints,\&nbsp;examples,\&nbsp;discussion\&nbsp;questions/answers,\&nbsp;emails,\&nbsp;study\&nbsp;tips,\&nbsp;motivational\&nbsp;messages.\&nbsp;This\&nbsp;represents\&nbsp;a\&nbsp;missed\&nbsp;opportunity,\&nbsp;since\&nbsp;it\&nbsp;should\&nbsp;be\&nbsp;technologically\&nbsp;straightforward\&nbsp;to\&nbsp;enhance\&nbsp;learning\&nbsp;by\&nbsp;improving\&nbsp;text,\&nbsp;as\&nbsp;instructors\&nbsp;get\&nbsp;new\&nbsp;ideas\&nbsp;and\&nbsp;data\&nbsp;is\&nbsp;collected\&nbsp;about\&nbsp;what helps\&nbsp;learning.\&nbsp;We\&nbsp;describe\&nbsp;how\&nbsp;instructors\&nbsp;can\&nbsp;use\&nbsp;recent\&nbsp;work\&nbsp;(Williams,\&nbsp;Kim,\&nbsp;Rafferty,\&nbsp;Maldonado,\&nbsp;Gajos,\&nbsp;Lasecki,\&nbsp;\&amp;\&nbsp;Heffernan,\&nbsp;2016a)\&nbsp;to\&nbsp;make\&nbsp;text\&nbsp;components\&nbsp;into\&nbsp;adaptive\&nbsp; resources\&nbsp; that\&nbsp; semi-automatically\&nbsp; improve\&nbsp; over\&nbsp; time,\&nbsp; by\&nbsp; combining\&nbsp; crowdsourcing methods\&nbsp;from\&nbsp;human\&nbsp;computer\&nbsp;interaction\&nbsp;(HCI)\&nbsp;with\&nbsp;algorithms\&nbsp;from\&nbsp;statistical\&nbsp;machine\&nbsp;learning\&nbsp;that\&nbsp;use\&nbsp;data for\&nbsp;optimization.\&nbsp;},
	author = {Williams, Joseph Jay and Juho Kim and Elena Glassman and Anna Rafferty and Walter Lasecki}
}
@article {670626,
	title = {AXIS: Generating Explanations at Scale with Learnersourcing and Machine Learning},
	journal = {Proceedings of the Third Annual ACM Conference on Learning at Scale},
	year = {2016},
	author = {Williams, Joseph Jay and Juho Kim and Anna Rafferty and Samuel Maldonado and Krzysztof Gajos and Walter S. Lasecki and Neil Heffernan}
}
@article {670631,
	title = {Revising Learner Misconceptions Without Feedback: Prompting for Reflection on Anomalous Facts},
	journal = {Proceedings of CHI (2016), 34th Annual ACM Conference on Human Factors in Computing Systems},
	year = {2016},
	author = {Williams, Joseph Jay and Tania Lombrozo and Anne Hsu and Bernd Huber and Juho Kim}
}
@article {595421,
	title = {Association for the Advancement in Artificial Intelligence (AAAI)},
	journal = {Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI 2016)},
	year = {2016},
	author = {Whitehill, Jacob}
}
