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Di Sun; Gang Cheng; Heng Luo – Interactive Learning Environments, 2024
Recently, researchers have proposed to leverage technology-supported data (log files) to investigate temporal and sequential patterns of interaction behaviors in learning processes. There are two major challenges to be addressed: clarifying the positioning of interaction levels and identifying the evolution of the interaction action patterns in…
Descriptors: Foreign Countries, Undergraduate Students, Computer Science, MOOCs
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Mengning Mu; Man Yuan – Interactive Learning Environments, 2024
The necessity for students to clarify their own cognitive structure and the amount of their knowledge mastery for self-reflection is often ignored in building the student model in the adaptive model, which makes the construction of the cognitive structure pointless. Simultaneously, knowledge forgetting causes students' knowledge level to fall…
Descriptors: Individualized Instruction, Cognitive Processes, Graphs, Cognitive Structures
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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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Angeles Lopez; M. Asunción Castaño; M. Victoria Ibáñez; Ismael Sanz; Lledó Museros; Reyes Grangel – ACM Transactions on Computing Education, 2025
The Bachelor's Degree in Computer Engineering at University Jaume I has a capstone project in which the student develops, during a 300-hour internship in an enterprise, a real-world project. We collected data for five academic years to analyze the assessment process to propose a new hybrid model, which combines analytic and holistic assessment and…
Descriptors: Capstone Experiences, Internship Programs, Student Projects, Undergraduate Students
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Maqsood, Rabia; Ceravolo, Paolo; Ahmad, Muhammad; Sarfraz, Muhammad Shahzad – International Journal of Educational Technology in Higher Education, 2023
The heterogeneous data acquired by educational institutes about students' careers (e.g., performance scores, course preferences, attendance record, demographics, etc.) has been a source of investigation for Educational Data Mining (EDM) researchers for over two decades. EDM researchers have primarily focused on course-specific data analyses of…
Descriptors: Foreign Countries, Computer Science, Undergraduate Students, Private Colleges
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Xiaojun Luo; Ismail Adelopo – Journal of International Education in Business, 2025
Purpose: This study aims to develops an interdisciplinary business and computer science pedagogy for teaching and learning computer programming in business schools at higher education institutions and explores its associated benefits, challenges and improvement. Design/methodology/approach: Based on a body of theories, an interdisciplinary…
Descriptors: Teaching Methods, Educational Opportunities, Difficulty Level, Business Administration Education
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Mohammed Ahmed Kofahi; Anas Jebreen Atyeh Husain – Journal of Information Technology Education: Research, 2025
Aim/Purpose: In this study, we propose an AI technology-based learning model using ChatGPT and investigate its effect on students' higher-order thinking (HOT) ability in an operating systems (OS) course. Background: A critical requirement for IT and engineering students is supporting them in understanding advanced OS concepts and fostering their…
Descriptors: Artificial Intelligence, Computer Science Education, Thinking Skills, Computer System Design
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Toni Taipalus; Hilkka Grahn; Saima Ritonummi; Valtteri Siitonen; Tero Vartiainen; Denis Zhidkikh – ACM Transactions on Computing Education, 2025
SQL compiler error messages are the primary way users receive feedback when they encounter syntax errors or other issues in their SQL queries. Effective error messages can enhance the user experience by providing clear, informative, and actionable feedback. Despite the age of SQL compilers, it still remains largely unclear what contributes to an…
Descriptors: Computer Science Education, Novices, Information Systems, Programming Languages
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Hope Sikhosana; Hlologelo Malatji; Aldridge Munyoro – Cogent Education, 2023
The under-representation of women in the field of Science, Technology, Engineering, and Maths (STEM) is of great concern in South Africa. Despite the efforts made by the government to improve access to education for learners from previously disadvantaged communities, South African Black women are still under-represented in STEM fields. The present…
Descriptors: Blacks, Females, STEM Education, Foreign Countries
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Nattaphol Thanachawengsakul; Ittipaat Suwathanpornkul; Orn-uma Charoensuk – International Education Studies, 2024
The purpose of this research was to analyze the confirmatory components of the computational thinking learning competency measurement model. The sample group consisted of 240 students in the Bachelor of Education Program in Computer and Digital Technology for Education in Years 2-4 of five of the Rattanakosin Rajabhat Universities. Data collection…
Descriptors: Factor Analysis, Undergraduate Students, Thinking Skills, Computer Science Education
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Yassine Adouani; Mohamed Ali Khenissi – Education and Information Technologies, 2024
In recent years, online educational platforms have become an increasingly popular tool for delivering online learning experiences. One such platform is the Tunisian educational platform provided by the Virtual University of Tunis. The acceptance and adoption of these platforms by students are crucial for their successful integration into the…
Descriptors: Computer Science Education, Electronic Learning, Public Colleges, Intention
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Chang-Tik, Chan; Dhaliwal, Jasbir – Learning: Research and Practice, 2022
This study examines the participation of the Less Effective Learning Group(LELG) students in Collaborative Learning in Informal Space (CLIS) to gain more insights in two of the five principles of the Framework of Participation. Their participation is based on relationships of mutual recognition and acceptance and participation requires learning to…
Descriptors: Cooperative Learning, Computer Science Education, Programming, Informal Education
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Qin, Chao; Liu, Yanjia; Zhang, Hemei – Journal of Computer Assisted Learning, 2023
Background: Being easy to learn and fun, block-based programming tools are widely used to teach students introductory programming. Scratch and LEGO robots are two popular block-based programming tools. However, the objects they manipulate are completely different. Scratch manipulates graphical virtual sprites, whereas LEGO robots manipulate…
Descriptors: Foreign Countries, Undergraduate Students, Learner Engagement, Robotics
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Neves, Vania de Oliveira; Morita Melo, Silvana; Viana, Davi; Pereira dos Santos, Rodrigo; Graciano Neto, Valdemar Vicente – IEEE Transactions on Education, 2023
Contribution: The main contribution of this study is to gather and report on the challenges faced by IS courses based on the professors' perspectives. Background: Information systems (ISs) area focuses on the interplay among people, processes/organizations, and technologies. As such, stimulating technical and nontechnical competencies are required…
Descriptors: Foreign Countries, Information Systems, Computer Science Education, Undergraduate Students
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Ruth Z. Hauzel; Tanuja Pattnaik; Ranjani Vara; Surya Prabha Mandela – Journal of Information Technology Education: Innovations in Practice, 2024
Aim/Purpose: Despite playing a critical role in shaping the future, 70% of undergraduate engineers report low levels of motivation. Student disengagement and a lack of ownership of their learning are significant challenges in higher education, specifically engineering students in the computer science department. This study investigates the various…
Descriptors: Undergraduate Students, Engineering Education, Learner Engagement, Student Attitudes
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