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Edwards, John; Hart, Kaden; Shrestha, Raj – Journal of Educational Data Mining, 2023
Analysis of programming process data has become popular in computing education research and educational data mining in the last decade. This type of data is quantitative, often of high temporal resolution, and it can be collected non-intrusively while the student is in a natural setting. Many levels of granularity can be obtained, such as…
Descriptors: Data Analysis, Computer Science Education, Learning Analytics, Research Methodology
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Jackson, Helen – Learning, Media and Technology, 2019
This paper positions the photographic image of the self (the 'selfie') as the reflexive indicator on which students are prompted to reveal their learning behaviours, and uses this mode of reflexivity to construct a qualitative study of engagement in a higher education setting. The study leverages the intensified processes of self --reflection…
Descriptors: Self Concept, Photography, Learner Engagement, College Students
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Kinnebrew John S.; Killingsworth, Stephen S.; Clark, Douglas B.; Biswas, Gautam; Sengupta, Pratim; Minstrell, James; Martinez-Garza, Mario; Krinks, Kara – IEEE Transactions on Learning Technologies, 2017
Digital games can make unique and powerful contributions to K-12 science education, but much of that potential remains unrealized. Research evaluating games for learning still relies primarily on pre- and post-test data, which limits possible insights into more complex interactions between game design features, gameplay, and formal assessment.…
Descriptors: Computer Games, Educational Games, Data Analysis, Science Education
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Cummins, Stephen; Burd, Liz; Hatch, Andrew – Computer Science Education, 2011
This article presents an investigation into the usage of shareable feedback tags as a way of delivering feedback to three different cohorts of programming students. A series of research questions are examined; these include investigating any perceived benefit from students using feedback tags and exploring how students interact with their…
Descriptors: Feedback (Response), Programming, Investigations, Student Behavior