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Showing 1 to 15 of 28 results Save | Export
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Aadarsh Padiyath – ACM Transactions on Computing Education, 2024
As computing educators begin to recognize that their students need strong ethical foundations, there is a growing interest to integrate meaningful ethics education into undergraduate computing curricula. To achieve this, it is crucial to understand how students respond to ethical interventions in the classroom. This review examines the acceptance…
Descriptors: Undergraduate Students, Student Attitudes, Ethics, Intervention
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Olivares, Daniel; Hundhausen, Christopher; Ray, Namrata – ACM Transactions on Computing Education, 2022
As in other STEM disciplines, early computing courses tend to stress individual assignments and discourage collaboration. This can lead to negative learning experiences that compel some students to give up. According to social learning theory, one way to improve students' learning experiences is to help them form and participate actively in…
Descriptors: Intervention, Interpersonal Relationship, Programming, Computer Science Education
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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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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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Shirazi, Niloufar; Rahimi, Mehrak – IEEE Transactions on Education, 2023
Contribution: Research shows that nontechnical subjects like the English language have been neglected in computer science/engineering (CS/CE) education research. This study evaluates the effectiveness of a technology-enhanced general English (GE) course that exposed CE students to multimodal input during the prereading phase to develop their…
Descriptors: Computer Science Education, Educational Technology, Technology Uses in Education, Reading Skills
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Ozan Rasit Yürüm; Soner Yildirim; Tugba Taskaya-Temizel – Interactive Learning Environments, 2023
The purpose of this study is to develop an intervention framework based on video clickstream interactions for delivering superior user experience for video lectures. Apart from existing studies on data-driven interventions, this study focuses on video clickstream interactions to identify timely interventions for creating interactive video…
Descriptors: Video Technology, Computer Assisted Instruction, Intervention, Lecture Method
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Chou, Chih-Yueh; Chang, Chun-Ho – Educational Technology & Society, 2021
Help-seeking is an important self-regulated learning strategy and skill for effective learning. Studies have found that some students have poor help-seeking behaviors and that this leads to poor learning performance. Some researchers have developed help-seeking regulation mechanisms to detect and regulate students' poor help-seeking behaviors.…
Descriptors: Help Seeking, Computer Assisted Instruction, Student Behavior, Technology Uses in Education
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Furtado, Julio; Oliveira, Sandro Ronaldo Bezerra; Chaves, Rafael Oliveira – International Journal of Information and Communication Technology Education, 2021
In organizations that are seeking a high degree of maturity, it is necessary to achieve a statistical control of software processes and to know their behavior and operational performance. The approach adopted for the research involves reading articles and experience performance reports, practical cases, discussion, the use of games and simulators,…
Descriptors: Undergraduate Students, Computer Science Education, Teaching Methods, Computer Software
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Lockwood, Elise – Cognition and Instruction, 2022
In this paper, I discuss undergraduate students' engagement in basic Python programming while solving combinatorial problems. Students solved tasks that were designed to involve programming, and they were encouraged to engage in activities of prediction and reflection. I provide data from two paired teaching experiments, and I outline how the task…
Descriptors: Undergraduate Students, Thinking Skills, Prediction, Teaching Methods
Constance Barnes-Watson – ProQuest LLC, 2024
There is a purported shortage of employable labor in the tech workforce, yet Black, Indigenous, Women of Color (BIWOC) in urban centers struggle to find and sustain roles in "high-tech." The tech ecosystem is a CIS-gendered, white male heterosexual space that perpetuates and "ideal worker norm" (Kachchaf et al., 2015), which…
Descriptors: Computer Science Education, Intervention, Females, Urban Areas
Olivares, Daniel Michael – ProQuest LLC, 2019
The 2012 report by the US President's Council of Advisors on Science and Technology (PCAST) predicts a deficit in the workforce for science, technology, engineering, and mathematics (STEM) in the following decade and emphasizes the importance of addressing this shortfall. According to the report, less than half of the three million students…
Descriptors: Intervention, Computer Science Education, Programming, Social Behavior
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Ginat, David – Informatics in Education, 2021
The notion of algorithm may be perceived in different levels of abstraction. In the lower levels it is an operational set of instructions. In higher levels it may be viewed as an object with properties, solving a problem with characteristics. Novices mostly relate to the lower levels. Yet, higher levels are very relevant for them as well. We…
Descriptors: Problem Solving, Computation, Comparative Analysis, Competence
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Alvine B. Belle; Callum Sutherland; Opeyemi O. Adesina; Sègla Kpodjedo; Nathanael Ojong; Lisa Cole – ACM Transactions on Computing Education, 2023
Background: People who are racialized, gendered, or otherwise minoritized are underrepresented in computing professions in North America. This is reflected in undergraduate computer science (CS) programs, in which students from marginalized backgrounds continue to experience inequities that do not typically affect White cis-men. This is especially…
Descriptors: Undergraduate Students, Blacks, African American Students, Computer Science Education
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Knight, G.; Powell, N.; Woods, G. – European Journal of Engineering Education, 2022
Computer Science (CS) degrees have some of the poorest continuation rates across HE. This study describes an intervention within a diverse CS student cohort to identify students who may be at risk of mathematical academic failure and the success of student mentor-led workshops in enhancing these students' mathematical ability. Diagnostic screening…
Descriptors: Undergraduate Students, Computer Science Education, Learner Engagement, Attendance
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Asiri, Yousef; Millard, David; Weal, Mark – International Association for Development of the Information Society, 2019
This paper presents a study which aims to provide an understanding of the impact of using the components of a digital mobile-based behavior change intervention (mBCI) to support critical thinking skills during university student research projects. The digital behavior change interventions are tools and techniques designed to induce behavior change…
Descriptors: Electronic Learning, Intervention, Program Effectiveness, Behavior Change
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