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Celis Rangel, Jakeline G.; King, Melissa; Muldner, Kasia – ACM Transactions on Computing Education, 2020
Learning to program requires perseverance, practice, and the mindset that programming skills are improved through these activities (i.e., that everyone has the potential to become good at programming). In contrast to an entity mindset, individuals with an incremental mindset believe that ability is malleable and can be improved with effort. Prior…
Descriptors: Intervention, Cognitive Structures, Programming, Learning Activities
Olivares, Daniel Michael – ProQuest LLC, 2019
The 2012 report by the US President's Council of Advisors on Science and Technology (PCAST) predicts a deficit in the workforce for science, technology, engineering, and mathematics (STEM) in the following decade and emphasizes the importance of addressing this shortfall. According to the report, less than half of the three million students…
Descriptors: Intervention, Computer Science Education, Programming, Social Behavior
Carlson, John; Harris, Ranida; Harris, Ken – Information Systems Education Journal, 2017
In recent years, gamification has been utilized in a number of different contexts, including educational applications. This paper describes a unique application of coin-based gamification classroom management system in undergraduate programming classes. The coin-based gamification allowed students to earn and spend coins as a form of classroom…
Descriptors: Educational Games, Classroom Techniques, Undergraduate Students, Programming
McCoy-Parker, Kimberly S.; Paull, Lindsey N.; Rule, Audrey C.; Montgomery, Sarah E. – Journal of STEM Arts, Crafts, and Constructions, 2017
Computer programming skills are important to many current careers; teaching robot coding to elementary students can start a positive foundation for technological careers, develop problem-solving skills, and growth mindsets. This study, through a repeated measures design involving students in two classrooms at two widely-separated grade levels…
Descriptors: Elementary School Students, Grade 1, Grade 5, Programming
Aleven, Vincent; McLaren, Bruce M.; Sewall, Jonathan; Koedinger, Kenneth R. – International Journal of Artificial Intelligence in Education, 2009
The Cognitive Tutor Authoring Tools (CTAT) support creation of a novel type of tutors called example-tracing tutors. Unlike other types of ITSs (e.g., model-tracing tutors, constraint-based tutors), example-tracing tutors evaluate student behavior by flexibly comparing it against generalized examples of problem-solving behavior. Example-tracing…
Descriptors: Feedback (Response), Student Behavior, Intelligent Tutoring Systems, Problem Solving
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis

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