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Showing 1 to 15 of 100 results Save | Export
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Mark Frydenberg; Anqi Xu; Jennifer Xu – Information Systems Education Journal, 2025
This study explores student perceptions of learning to code by evaluating AI-generated Python code. In an experimental exercise given to students in an introductory Python course at a business university, students wrote their own solutions to a Python program and then compared their solutions with AI-generated code. They evaluated both solutions…
Descriptors: Student Attitudes, Programming, Computer Software, Quality Assurance
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Disa Cornish; Zak Larter – Journal of Educational Technology Systems, 2024
ChatGPT and AI programs are creating a stir on college campuses nationwide. Concerns about cheating are strong and many instructors are adopting new teaching strategies to dissuade students from using the technology in assignments. In the present study, undergraduate students in an introductory epidemiology course were assigned to use ChatGPT to…
Descriptors: Artificial Intelligence, Student Attitudes, Synchronous Communication, Computer Software
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Tanya Higgins; Ed Dudley; Owen Bodger; Phil Newton; Nigel Francis – Biochemistry and Molecular Biology Education, 2024
Retrieval practice is an evidence-based approach to teaching; here, we evaluate the use of PeerWise for embedding retrieval practice into summative assessment. PeerWise allows anonymous authoring, sharing, answering, rating, and feedback on peer-authored multiple choice questions. PeerWise was embedded as a summative assessment in a large…
Descriptors: Information Retrieval, Undergraduate Study, Introductory Courses, Biochemistry
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Ernst Bekkering – Information Systems Education Journal, 2025
Undergraduate research can stimulate students' interest, especially in STEM disciplines. This research can be formally offered in different formats such as Undergraduate Research Experiences (UREs). One of these is Course-based Undergraduate Research Experiences (CUREs), which are offered as an integral part of scheduled courses. CUREs have been…
Descriptors: Undergraduate Students, Research Training, Computer Science Education, Student Interests
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Sena, Mark P.; Ariyachandra, Thilini – Information Systems Education Journal, 2023
Data literacy has become a much sought after skill by organizations as the importance of data driven decision making continues to rise in importance. This study explores the teaching of Tableau as a supplement to Excel to enhance the data literacy skills of students. Twenty-eight students taking an introductory course in Business Analytics and…
Descriptors: Computer Software, Statistics Education, Spreadsheets, Usability
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Tong Wan; Zhongzhou Chen – Physical Review Physics Education Research, 2024
Instructor's feedback plays a critical role in students' development of conceptual understanding and reasoning skills. However, grading student written responses and providing personalized feedback can take a substantial amount of time, especially in large enrollment courses. In this study, we explore using GPT-3.5 to write feedback on students'…
Descriptors: Physics, Science Instruction, Artificial Intelligence, Computer Software
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Custer, Gordon F.; van Diepen, Linda T. A.; Seeley, Janel – Natural Sciences Education, 2021
Quantitative literacy is necessary to keep pace with the exponentially increasing magnitude of biological data and the complexity of statistical tools. However, statistical programming can cause anxiety in new learners and educators alike. In order to produce graduates that are well-prepared for quantitative research, overcoming the initial…
Descriptors: Programming Languages, Computer Science Education, Student Attitudes, Time Management
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Danielak, Brian – Cognition and Instruction, 2022
This paper focuses on a historically understudied area in computing education: attending to students' *design thinking* in university-level introductory programming courses. I offer an account of one student--"Rebecca"--and her experiences and code from a second-semester course on programming concepts for engineers. Using data from both…
Descriptors: Design, Computer Science Education, Programming, Introductory Courses
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Daniele Traversaro; Giorgio Delzanno; Giovanna Guerrini – Informatics in Education, 2024
Concurrency is a complex to learn topic that is becoming more and more relevant, such that many undergraduate Computer Science curricula are introducing it in introductory programming courses. This paper investigates the combined use of Sonic Pi and Team-Based Learning to mitigate the difficulties in early exposure to concurrency. Sonic Pi, a…
Descriptors: Misconceptions, Programming Languages, Computer Science Education, Undergraduate Students
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Olic Ninkovic, Stanislava; Adamov, Jasna – International Baltic Symposium on Science and Technology Education, 2023
3D holograms are an effective tool for visualization, and their utilization in chemistry teaching can be beneficial in improving learning outcomes. However, studies on students' opinions about holograms in chemistry teaching and learning are scarce. The research aimed to examine the views of chemistry students on the application of 3D holograms in…
Descriptors: Undergraduate Students, Student Attitudes, Organic Chemistry, Foreign Countries
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Samuel Boguslawski; Rowan Deer; Mark G. Dawson – Information and Learning Sciences, 2025
Purpose: Programming education is being rapidly transformed by generative AI tools and educators must determine how best to support students in this context. This study aims to explore the experiences of programming educators and students to inform future education provision. Design/methodology/approach: Twelve students and six members of faculty…
Descriptors: Programming, Computer Science Education, Personal Autonomy, Learning Motivation
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Li, Ruoxi – Journal of Political Science Education, 2021
The statistical computing and graphics software R, despite its many advantages, is sometimes considered too complex to be introduced to undergraduate political science majors. In this article I showed that when taught appropriately, R could be a valuable and well-received aspect of an introductory research methods course. It is important to teach…
Descriptors: Introductory Courses, Research Methodology, Undergraduate Students, Student Attitudes
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R. Freed; D. H. McKinnon; M. T. Fitzgerald; S. Salimpour – Physical Review Physics Education Research, 2023
This paper presents the results of a confirmatory factor analysis on two self-efficacy scales designed to probe the self-efficacy of college-level introductory astronomy (Astro-101) students (n ¼ 15181) from 22 institutions across the United States of America and Canada. The students undertook a course based on similar curriculum materials, which…
Descriptors: Self Efficacy, Science Instruction, Astronomy, Factor Analysis
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Dahlkemper, Merten Nikolay; Lahme, Simon Zacharias; Klein, Pascal – Physical Review Physics Education Research, 2023
This study aimed at evaluating how students perceive the linguistic quality and scientific accuracy of ChatGPT responses to physics comprehension questions. A total of 102 first- and second-year physics students were confronted with three questions of progressing difficulty from introductory mechanics (rolling motion, waves, and fluid dynamics).…
Descriptors: Physics, Science Instruction, Artificial Intelligence, Computer Software
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Ahlia Khan-Trottier – Biochemistry and Molecular Biology Education, 2024
The COVID-19 pandemic has forced a shift in thinking regarding the safe delivery of wet laboratory courses. While we were fortunate to have the capacity to continue delivering wet laboratory experiments with physical distancing and other measures in place, modifications to the mechanisms of delivery within courses were necessary to minimize risk…
Descriptors: Computer Software, Science Laboratories, Science Instruction, Student Journals
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