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Flanigan, Abraham E.; Peteranetz, Markeya S.; Shell, Duane F.; Soh, Leen-Kiat – ACM Transactions on Computing Education, 2022
Two studies investigated change in computer science (CS) students' implicit intelligence beliefs. Across both studies, we found that the strength of incremental and entity beliefs changed across time. In Study 1, we found that incremental beliefs decreased and entity beliefs increased across the semester. Change in implicit intelligence beliefs…
Descriptors: Attitude Change, Computer Science Education, Student Attitudes, Intelligence
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Peteranetz, Markeya S.; Soh, Leen-Kiat; Shell, Duane F.; Flanigan, Abraham E. – IEEE Transactions on Education, 2021
Contribution: This article presents a synthesis of the findings and implications from the IC2Think program of research in undergraduate computer science (CS) courses examining student motivation and self-regulated learning (SRL). These studies illuminate both the difficulty and potential for motivating CS students, as well as the uniqueness of CS…
Descriptors: Student Motivation, Independent Study, Computer Science Education, Program Evaluation
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Wang, Shiyuan; Shell, Duane F.; Flanigan, Abraham; Peteranetz, Markeya; Soh, Leen-Kiat – AERA Online Paper Repository, 2017
The purpose of the present study was to investigate how inclusion of computational creativity exercises (CCE) based on Epstein's Generativity Theory (1996, 2005; Epstein, Schmidt, & Warel, 2008) in post-secondary computer science [CS] courses affected students' class grades, learning of computational thinking and CS knowledge, self-efficacy,…
Descriptors: Creativity, College Students, Computer Science Education, Self Efficacy
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Peteranetz, Markeya S.; Flanigan, Abraham E.; Shell, Duane F.; Soh, Leen-Kiat – IEEE Transactions on Education, 2018
Contribution: This paper provides evidence that computational creativity exercises (CCEs) can increase engineering students' learning in introductory computer science (CS1) courses. Its main contribution is its more rigorous treatment/control group research design that allows testing for causal influences of CCEs on student learning and…
Descriptors: Engineering Education, Evidence Based Practice, Problem Solving, Control Groups
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Nelson, Katherine G.; Shell, Duane F.; Husman, Jenefer; Fishman, Evan J.; Soh, Leen-Kiat – Journal of Engineering Education, 2015
Background: Technical, nonengineering required courses taken at the onset of an engineering degree provide students a foundation for engineering coursework. Students who perform poorly in these foundational courses, even in those tailored to engineering, typically have limited success in engineering. A profile approach may explain why these…
Descriptors: Metacognition, Engineering Education, Profiles, Barriers
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Miller, L. Dee; Soh, Leen-Kiat; Samal, Ashok; Kupzyk, Kevin; Nugent, Gwen – Journal of Educational Data Mining, 2015
Learning objects (LOs) are important online resources for both learners and instructors and usage for LOs is growing. Automatic LO tracking collects large amounts of metadata about individual students as well as data aggregated across courses, learning objects, and other demographic characteristics (e.g. gender). The challenge becomes identifying…
Descriptors: Comparative Analysis, Data Analysis, Hierarchical Linear Modeling, Electronic Learning
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Nugent, Gwen; Soh, Leen-Kiat; Samal, Ashok – Journal of Educational Technology Systems, 2006
A learning object is a small, stand-alone, mediated content resource that can be reused in multiple instructional contexts. In this article, we describe our approach to design, develop, and validate Shareable Content Object Reference Model (SCORM) compliant learning objects for undergraduate computer science education. We discuss the advantages of…
Descriptors: Undergraduate Study, Computer Science Education, Student Reaction, Academic Achievement