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Brennan, Karen – Journal of the Learning Sciences, 2021
Background: A variety of self-directed opportunities to learn how to program are available to kids. But how do kids manage the motivational and cognitive challenges of creating projects? Methods: I examined this question in the context of kids working at home with the Scratch programming environment, based on thematic analysis of semi-structured…
Descriptors: Self Management, Independent Study, Programming, Student Projects
Denner, Jill; Green, Emily; Campe, Shannon – Journal of the Learning Sciences, 2021
Background: Learning to program and success in computer science requires persistence in the face of challenges. This study contributes to research on the social context of learning by describing how children's peer interactions can support or hinder the pair's problem solving on the computer. Methods: Video recordings from eight pairs of middle…
Descriptors: Programming, Computer Science Education, Middle School Students, Peer Relationship
Margulieux, Lauren E.; Catrambone, Richard – Journal of the Learning Sciences, 2019
Subgoal learning, a technique used to break down problem solving into manageable pieces, has been used to promote retention and transfer in procedural domains, such as programming. The primary method of learning subgoals has been passive, and passive learning methods are typically less effective than constructive methods. To promote constructive…
Descriptors: Problem Solving, Learning Strategies, Logical Thinking, Guidance
Matthews, Jolie Christine – Journal of the Learning Sciences, 2016
This article examines an informal online community dedicated to "The Tudors," a historical television show, and the ways in which its members engaged with a variety of sources in their discussions of the drama's real-life past. Data were collected over a 5-month period. The analysis included the types of sources used in conversation;…
Descriptors: Television, Programming (Broadcast), Computer Mediated Communication, History
Berland, 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
Blikstein, Paulo; Worsley, Marcelo; Piech, Chris; Sahami, Mehran; Cooper, Steven; Koller, Daphne – Journal of the Learning Sciences, 2014
New high-frequency, automated data collection and analysis algorithms could offer new insights into complex learning processes, especially for tasks in which students have opportunities to generate unique open-ended artifacts such as computer programs. These approaches should be particularly useful because the need for scalable project-based and…
Descriptors: Programming, Computer Science Education, Learning Processes, Introductory Courses
Wyeth, Peta – Journal of the Learning Sciences, 2008
Electronic Blocks are a new programming environment designed specifically for children aged between 3 and 8 years. These physical, stackable blocks include sensor blocks, action blocks, and logic blocks. By connecting these blocks, children can program a wide variety of structures that interact with one another and the environment. Electronic…
Descriptors: Semantics, Programming Languages, Young Children, Logical Thinking