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Showing 61 to 75 of 431 results Save | Export
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Clayton Cohn; Surya Rayala; Caitlin Snyder; Joyce Horn Fonteles; Shruti Jain; Naveeduddin Mohammed; Umesh Timalsina; Sarah K. Burriss; Ashwin T. S.; Namrata Srivastava; Menton Deweese; Angela Eeds; Gautam Biswas – Grantee Submission, 2025
Collaborative dialogue offers rich insights into students' learning and critical thinking. This is essential for adapting pedagogical agents to students' learning and problem-solving skills in STEM+C settings. While large language models (LLMs) facilitate dynamic pedagogical interactions, potential hallucinations can undermine confidence, trust,…
Descriptors: STEM Education, Computer Science Education, Artificial Intelligence, Natural Language Processing
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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
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Xin Gong; Weiqi Xu; Ailing Qiao; Zhixia Li – Journal of Computer Assisted Learning, 2025
Background: Robot programming can simultaneously cultivate learners' computational thinking (CT) and spatial thinking (ST). However, there is a noticeable gap in research focusing on the micro-level development patterns of learners' CT and ST and their interconnections. Objectives: This study aims to uncover the intricate development patterns and…
Descriptors: Mental Computation, Thinking Skills, Skill Development, Robotics
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Remsh Nasser Alqahtani; Ahmad Zaid Almassaad – Education and Information Technologies, 2025
The aim of research is to reveal the effect of a training program based on the TAWOCK model for teaching computational thinking skills on teaching self-efficacy among computer teachers. It used the quasi-experimental approach, with a pre-test and post-test design with a control group. An electronic training program based on the TAWOCK model was…
Descriptors: Models, Teaching Methods, Computation, Thinking Skills
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Yoonhee Shin; Jaewon Jung; Seohyun Choi; Bokmoon Jung – Education and Information Technologies, 2025
This study investigates the effects of metacognitive and cognitive strategies for computational thinking (CT) on managing cognitive load and enhancing problem-solving skills in collaborative programming. Four different scaffolding conditions were provided to help learners optimize cognitive load and improve their problem-solving abilities. A total…
Descriptors: Scaffolding (Teaching Technique), Mental Computation, Cognitive Processes, Difficulty Level
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Shao-Heng Ko; Kristin Stephens-Martinez – ACM Transactions on Computing Education, 2025
Background: Academic help-seeking benefits students' achievement, but existing literature either studies important factors in students' selection of all help resources via self-reported surveys or studies their help-seeking behavior in one or two separate help resources via actual help-seeking records. Little is known about whether computing…
Descriptors: Computer Science Education, College Students, Help Seeking, Student Behavior
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Anjing Dai; Li Tan – Journal of Engineering Education, 2025
Background: Despite the vital function of engineering and computer science (Eng & CS) to innovation and economic development, retention within Eng & CS programs remains a major challenge in the U.S. educational system. Despite extensive research on influential factors of retention, there is a gap in our understanding of how these factors…
Descriptors: Undergraduate Students, Engineering Education, Computer Science Education, School Holding Power
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Fatma Gizem Karaoglan Yilmaz; Ramazan Yilmaz – Journal of Computing in Higher Education, 2025
Task complexity emerges as one of the factors affecting the computer-supported collaborative learning (CSCL) process, group dynamics, and processes. Upon reviewing the literature, it becomes apparent that there are conflicting results regarding the impact of escalating task complexity on group dynamics and collaboration processes. The lack of…
Descriptors: Cooperative Learning, Computer Uses in Education, Difficulty Level, Group Dynamics
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Amedeo Pachera; Stefania Dumbrava; Angela Bonifati; Andrea Mauri – ACM Transactions on Computing Education, 2025
Query languages are the foundations of database teaching and education practices. The broad adoption of graph databases contrasts with the limited research into how they are taught. Contrary to relational databases, graph databases allow navigational queries with higher expressivity and lack an a priori schema. In this article, we design a…
Descriptors: Error Patterns, Graphs, Programming Languages, Databases
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Justyna Szynkiewicz – ACM Transactions on Computing Education, 2025
Higher education institutions are under pressure to educate employable computing graduates who can meet society's needs. Education, as a process of becoming, shapes students' identities, and identity is an important topic to study because it influences students' motivation, retention and satisfaction. Identity serves as the link connecting an…
Descriptors: Computer Science Education, College Students, Self Concept, Foreign Countries
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Anshul Shah; Thomas Rexin; Fatimah Alhumrani; William G. Griswold; Leo Porter; Gerald Soosai Raj – ACM Transactions on Computing Education, 2025
Objectives: The traditional, instructor-led form of live coding has been extensively studied, with findings showing that this form of live coding imparts similar learning to static-code examples. However, a concern with Traditional Live Coding is that it can turn into a passive learning activity for students as they simply observe the instructor…
Descriptors: Computer Science Education, Advanced Courses, Active Learning, Programming
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Maciej Pankiewicz; Yang Shi; Ryan S. Baker – International Educational Data Mining Society, 2025
Knowledge Tracing (KT) models predicting student performance in intelligent tutoring systems have been successfully deployed in several educational domains. However, their usage in open-ended programming problems poses multiple challenges due to the complexity of the programming code and a complex interplay between syntax and logic requirements…
Descriptors: Algorithms, Artificial Intelligence, Models, Intelligent Tutoring Systems
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Lutz Terfloth; Vivien Lohmer; Friederike Kern; Carsten Schulte – Informatics in Education, 2025
Transcripts play a crucial role in qualitative research in computing education, with significant implications for the credibility and reproducibility of findings. However, unreflective and inconsistent transcription standards may unintentionally introduce biases, potentially undermining the validity of research outcomes and the collective progress…
Descriptors: Phonetic Transcription, Computer Science Education, Educational Research, Credibility
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Annie M. Wofford; Lara Perez-Felkner; K. Bret Staudt Willet; Chantra Nhien – Research in Higher Education, 2025
Minority-Serving Institutions (MSIs) play a critical role in supporting racially minoritized and low-income students. Despite their importance, MSIs continue to be overlooked in federal investments. This short research note delves into the historical and geographical factors influencing MSIs, generally, and in the vastly growing area of graduate…
Descriptors: Minority Serving Institutions, Graduate Study, School Demography, STEM Education
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Sophie McKenzie; Shaun Bangay; Karen Young – International Journal of Work-Integrated Learning, 2025
This study explores the evaluation of Information Technology (IT) students during and after their core-to-course work-integrated learning (WIL) placement conducted with an industry host and aligned for credit at an Australian University. The case study investigates the value of the performance evaluation criteria used by supervisors to judge…
Descriptors: Foreign Countries, Work Based Learning, Computer Science Education, Evaluation Criteria
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