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Hoffman, Heather J.; Elmi, Angelo F. – Journal of Statistics and Data Science Education, 2021
Teaching students statistical programming languages while simultaneously teaching them how to debug erroneous code is challenging. The traditional programming course focuses on error-free learning in class while students' experiences outside of class typically involve error-full learning. While error-free teaching consists of focused lectures…
Descriptors: Statistics Education, Programming Languages, Troubleshooting, Coding
Mangaroska, Katerina; Sharma, Kshitij; Gaševic, Dragan; Giannakos, Michail – Journal of Computer Assisted Learning, 2022
Background: Problem-solving is a multidimensional and dynamic process that requires and interlinks cognitive, metacognitive, and affective dimensions of learning. However, current approaches practiced in computing education research (CER) are not sufficient to capture information beyond the basic programming process data (i.e., IDE-log data).…
Descriptors: Cognitive Processes, Psychological Patterns, Problem Solving, Programming
Kaplan, Danielle E.; An, Heejung – Journal of Computing in Higher Education, 2005
A study with students enrolled at an urban technical college compared learning of HTML coding across three Web-based program versions. One group received examples providing factual information about the source code (Facts group). A second group was presented with a step-by-step description of the source code (Procedures group). The third group was…
Descriptors: Technical Institutes, College Students, Comparative Analysis, Cluster Grouping