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Direct linkBerland, Matthew; Martin, Taylor; Benton, Tom; Smith, Carmen Petrick; Davis, Don – Journal of the Learning Sciences, 2013
Many have suggested that tinkering plays a critical role in novices learning to program, and recent work in learning analytics (Baker & Yacef, 2009 Blikstein, 2011) allows us to describe new relationships in the process. Using learning analytics, we explore how students progress from exploration, through tinkering, to refinement, a pathway…
Descriptors: Learning Processes, Data Collection, Novices, Females
Download full textAghababyan, Ani; Martin, Taylor; Janisiewicz, Philip; Close, Kevin – Journal of Learning Analytics, 2016
Learning analytics is an emerging discipline and, as such, benefits from new tools and methodological approaches. This work reviews and summarizes our workshop on microgenetic data analysis techniques using R, held at the second annual Learning Analytics Summer Institute in Cambridge, Massachusetts, on 30 June 2014. Specifically, this paper…
Descriptors: Educational Research, Data Collection, Data Analysis, Workshops
Martin, Taylor; Berland, Matthew; Benton, Tom; Smith, Carmen Petrick – Journal of Interactive Learning Research, 2013
In this paper, we present two studies examining how high school students learn to program in a mobile, social programming environment that we have developed and deployed ("IPRO"). IPRO is delivered, with an associated curriculum, as an iPod Touch app and is freely and publicly available. We find that the affordances of mobility and…
Descriptors: High School Students, Programming, Cooperation, Mobility
