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Kevin Slonka; Matthew North; Neelima Bhatnagar; Anthony Serapiglia – Information Systems Education Journal, 2025
Continuing to fill the literature gap, this research replicated and expands a prior study of student performance in database normalization in an introductory database course. The data was collected from four different universities, each having different prerequisite courses for their database course. Student performance on a database normalization…
Descriptors: Required Courses, Academic Achievement, Information Systems, Databases
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Yoana Omarchevska; Anouschka van Leeuwen; Tim Mainhard – Journal of Computing in Higher Education, 2025
In the flipped classroom, students engage in preparatory activities to study the course materials prior to attending teacher-guided sessions. Students' success in the flipped classroom is directly related to their preparation and students tend to change their preparation activity over time. Few studies have investigated why students change their…
Descriptors: Blended Learning, College Students, Metacognition, Learning Motivation
Grace Hom Lew – ProQuest LLC, 2024
This study explored the role of faith in the motivation of undergraduate computer science students and considered the implications for Christian Higher Education in the United States, by reviewing the existing literature on the subject. Academic motivation of computer science students is a global concern evidenced by studies around the world that…
Descriptors: Undergraduate Students, Computer Science Education, Religious Factors, Beliefs
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Michele Scalera; Agostino Marengo; Vita Santa Barletta; Danilo Caivano; Giovanni Dimauro; Jenny Pange – Education and Information Technologies, 2025
Computer architecture is considered one of the dry and hard-to-learn courses for students in the computer science discipline. Therefore, educational institutions experiment with different pedagogical approaches to enhance students' performance and interest in courses. This study introduces a Simplified Approach to Teach a Processor (SAtTaP), a…
Descriptors: Computer Science Education, Teaching Methods, Computer System Design, Undergraduate Students
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Xiaojing Duan; Bo Pei; G. Alex Ambrose; Arnon Hershkovitz; Ying Cheng; Chaoli Wang – Education and Information Technologies, 2024
Providing educators with understandable, actionable, and trustworthy insights drawn from large-scope heterogeneous learning data is of paramount importance in achieving the full potential of artificial intelligence (AI) in educational settings. Explainable AI (XAI)--contrary to the traditional "black-box" approach--helps fulfilling this…
Descriptors: Academic Achievement, Artificial Intelligence, Prediction, Models
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David S. Bowers; Mihaela Sabin – Education and Information Technologies, 2024
The skills and competencies of IT professionals are often described using employer-led skills frameworks. They express competencies as technical knowledge and skills combined with a range of personal qualities. Employers have indicated the importance of developing such qualities for new graduates. In response, recent ACM/IEEE curricular…
Descriptors: Information Technology, Bachelors Degrees, Computer Science Education, Career Readiness
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Yousaf, Yousra; Shoaib, Muhammad; Hassan, Muhammad Awais; Habiba, Ume – Interactive Learning Environments, 2023
Learning trend has been shifted from a conventional way to a digital way in the form of E-learning, but it faces a high dropout ratio. Lack of engagement is one of the primary factors reported for this issue as the same type of course content is presented to learners despite their different background, knowledge and learning styles. Different…
Descriptors: Intelligent Tutoring Systems, Cognitive Style, Learner Engagement, Academic Achievement
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Wen-shuang Fu; Jia-hua Zhang; Di Zhang; Tian-tian Li; Min Lan; Na-na Liu – Journal of Educational Computing Research, 2025
Cognitive ability is closely associated with the acquisition of programming skills, and enhancing learners' cognitive ability is a crucial factor in improving the efficacy of programming education. Adaptive feedback strategies can provide learners with personalized support based on their learning context, which helps to stimulate their interest…
Descriptors: Feedback (Response), Cognitive Ability, Programming, Computer Science Education
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Lin, Yen-Ting – Educational Technology & Society, 2023
The aim of software engineering education is to educate students in software technologies, developments, procedures, and scientific practices to enable them to cope with industrial demands. However, the implementation of software engineering education in traditional university classrooms is restricted by the semester structure, making it difficult…
Descriptors: Academic Achievement, Electronic Books, Flipped Classroom, Computer Software
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Hatice Yildiz Durak – Journal of Computer Assisted Learning, 2024
Background: Collaboration is a crucial concept in learning and has the potential to foster learning. However, the fact that collaborative groups act with a common understanding in a common task brings many difficulties. Therefore, there is a need for group regulation and guidance to support effective group regulation in collaborative learning. On…
Descriptors: Feedback (Response), Groups, Group Guidance, Cooperation
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Danyelle Tauryce Willis; Kimberley Edelin Freeman – ACM Transactions on Computing Education, 2024
Objectives: We aim to understand, from a motivational perspective, how Black undergraduate women in computing make sense of their intersectional computing experiences. We examine their motivation to major in computing, their experiences as Black women in computing, and how these vary across institutional contexts. Participants: A sample of 77…
Descriptors: Undergraduate Students, African American Students, Student Motivation, Student Experience
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Ustun, Ahmet Berk; Zhang, Ke; Karaoglan-Yilmaz, Fatma Gizem; Yilmaz, Ramazan – Journal of Research on Technology in Education, 2023
This mixed-method pretest/post-test experimental study examined the effect of learning analytics (LA)-based interventions on students' academic achievement and self-regulatory skills, and explored students' perceptions of such interventions in flipped classrooms (FC). Sixty-two college students from an introductory computer course were randomly…
Descriptors: Learning Analytics, Feedback (Response), Flipped Classroom, Intervention
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Liu, Yi-Chun; Wang, Wei-Tsong; Huang, Wen-Hsin – Education and Information Technologies, 2023
Prior research has demonstrated the advantages of applying mobile game-based learning (MGBL) applications to supporting students' learning. However, studies that specifically examine the effects of game quality and different types of cognitive loads on learning effectiveness in MGBL contexts are scarce. Therefore, this study aims to address this…
Descriptors: Video Games, Cognitive Processes, Difficulty Level, Academic Achievement
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Semiral Öncü; Merve Çolakoglu; Huseyin Colak – Journal of Educational Technology and Online Learning, 2024
The purpose of this study was to investigate whether taking a course online or face-to-face matters in terms of student engagement and achievement. Gender differences were also examined. The level of student engagement in an information technology course in a freshman sample from a school of education was surveyed and compared in two consecutive…
Descriptors: Undergraduate Students, Information Technology, Computer Science Education, In Person Learning
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Ella R. Kahu; Heather G. Thomas; Eva Heinrich – Active Learning in Higher Education, 2024
Whether by choice or pushed online by Covid, higher education is increasingly happening in digital spaces with digital tools forming a critical part of learning and teaching contexts. While reviews suggest such tools positively influence student engagement, research tends to be generic and more is needed to understand how and why specific tools…
Descriptors: Foreign Countries, Undergraduate Students, Computer Science Education, Information Networks
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