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Swenson, Sandra; He, Yi; Boyd, Heather; Good, Kate Schowe – Journal of College Science Teaching, 2022
Students reasoning with data in an authentic science environment had the opportunity to learn about the process of science and the world around them while developing skills to analyze and interpret self-collected and secondhand data. Our results show that nearly 50% of the treatment group responses were accurate when describing the reason for…
Descriptors: Design, Heuristics, Data Analysis, Data Interpretation
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Veerasamy, Ashok Kumar; D'Souza, Daryl; Laakso, Mikko-Jussi – Journal of Educational Technology Systems, 2016
This article presents a study aimed at examining the novice student answers in an introductory programming final e-exam to identify misconceptions and types of errors. Our study used the Delphi concept inventory to identify student misconceptions and skill, rule, and knowledge-based errors approach to identify the types of errors made by novices…
Descriptors: Computer Science Education, Programming, Novices, Misconceptions
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Lukowiak, Twila; Hunzicker, Jana – Journal of Effective Teaching, 2013
Part of a larger research project, this article presents a phenomenological self-study exploring the qualities of student engagement that occurred in one professors' college class-room over two semesters' time. The purpose of the study was to better understand college students' engagement in learning utilizing a reflective, data-based process. The…
Descriptors: College Students, Learner Engagement, Student Attitudes, Educational Attitudes