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Kunye Chen; Raghav Mahalingam; Neal Ormsbee; Rachel Schlossman; Luis Sentis – IEEE Transactions on Education, 2024
University laboratories deliver unique hands-on experimentation opportunities for STEM students, but often lack state-of-the-art equipment and provide limited access to their equipment. The University of Texas Cloud Laboratory (CLAB) provides remote access to cutting-edge series elastic actuators for student experimentation regarding…
Descriptors: STEM Education, Laboratory Experiments, Laboratory Equipment, Robotics
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
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
Moon-Heum Cho; Lei Zhang; Seongmi Lim; Seokwon Hwang – Distance Education, 2024
Although higher education institutions offer self-paced massive open online courses (MOOCs) on platforms like edX, little systematic effort has been made to examine their instructional design features. The purpose of this study was, therefore, to review self-paced MOOCs on edX and examine their instructional design features for those interested in…
Descriptors: Instructional Design, MOOCs, Pacing, Higher Education
Na Li; Erick Purwanto; Xiaojun Zhang; Feng Cao; Kok Hoe Wong; Xiangru Chen – Interactive Learning Environments, 2024
To address the problem of poor efficacy in hybrid learning in higher education, this study conducted a mix-method explanatory case study with structural equation modelling to examine a new construct, "perceived pedagogical value" (PPV), and its relationship with the core constructs of the Unified Theory of Acceptance and Use of…
Descriptors: Educational Benefits, Interaction, Blended Learning, College Students
Burleson, James; Nabity-Grover, Teagen; Jetha, Karim – Journal of Information Systems Education, 2023
The Association for Information Systems (AIS) Teaching Curation Project aims to highlight and summarize research within the association that focuses on the major courses taught in Information Systems (IS) programs. The present literature review is a companion to a curation website specific to the introductory course in IS. In this review, we…
Descriptors: Information Systems, Introductory Courses, Enrollment, Teaching Methods
Asmaa Bengueddach; Djamila Hamdadou – International Society for Technology, Education, and Science, 2024
The COVID-19 pandemic, an unprecedented global health crisis, has not only significantly impacted public health but has also caused substantial disruptions to conventional education systems. In response to these challenges, our institution has undertaken innovative measures within the realm of education. A pivotal aspect of our response involves…
Descriptors: Personal Autonomy, Online Courses, Educational Change, Coding
Al-Shaikhli, Dhuha – Education and Information Technologies, 2023
This research examines the effect of having a tracking technology in a learning management system (LMS) that reports the effect of perceiving other students' interactions on a learner's intention to keep using LMS in the future. The main underlying theory is herd behaviour theory which argues that crowd behaviour affects the perceptions of the…
Descriptors: Learning Management Systems, Educational Technology, Learning Analytics, Independent Study
Amaya, Edna Johanna Chaparro; Restrepo-Calle, Felipe; Ramírez-Echeverry, Jhon J. – Journal of Information Technology Education: Research, 2023
Aim/Purpose: This article proposes a framework based on a sequential explanatory mixed-methods design in the learning analytics domain to enhance the models used to support the success of the learning process and the learner. The framework consists of three main phases: (1) quantitative data analysis; (2) qualitative data analysis; and (3)…
Descriptors: Learning Analytics, Guidelines, Student Attitudes, Learning Processes
Lokkila, Erno; Christopoulos, Athanasios; Laakso, Mikko-Jussi – Journal of Information Systems Education, 2023
Educators who teach programming subjects are often wondering "which programming language should I teach first?" The debate behind this question has a long history and coming up with a definite answer to this question would be farfetched. Nonetheless, several efforts can be identified in the literature wherein pros and cons of mainstream…
Descriptors: Comparative Analysis, Programming Languages, Probability, Error Patterns
Arjan J. F. Kok; Lex Bijlsma; Cornelis Huizing; Ruurd Kuiper; Harrie Passier – Informatics in Education, 2024
This paper presents the first experiences of the use of an online open-source repository with programming exercises. The repository is independent of any specific teaching approach. Students can search for and select an exercise that trains the programming concepts that they want to train and that only uses the programming concepts they already…
Descriptors: Programming Languages, Computer Science Education, Open Source Technology, Teaching Methods
Alexiou, Aikaterini; Paraskeva, Fotini – International Journal of Information and Learning Technology, 2020
Purpose: Undergraduate students often find it difficult to organize their learning activities and manage their learning. Also, teachers need dynamic pedagogical frameworks and learning technologies for supporting learners to advance their academic performance. The purpose of this paper is to investigate the effect of an ePortfolio intervention on…
Descriptors: Social Media, Undergraduate Students, Learning Activities, Educational Technology
Alexander Tobias Neumann; Yue Yin; Sulayman Sowe; Stefan Decker; Matthias Jarke – IEEE Transactions on Education, 2025
Contribution: This research explores the benefits and challenges of developing, deploying, and evaluating a large language model (LLM) chatbot, MoodleBot, in computer science classroom settings. It highlights the potential of integrating LLMs into LMSs like Moodle to support self-regulated learning (SRL) and help-seeking behavior. Background:…
Descriptors: Computer Science Education, Databases, Information Systems, Classroom Environment
Somyürek, Sibel; Brusilovsky, Peter; Çebi, Ayça; Akhüseyinoglu, Kamil; Güyer, Tolga – International Journal of Information and Learning Technology, 2021
Purpose: Interest is currently growing in open social learner modeling (OSLM), which means making peer models and a learner's own model visible to encourage users in e-learning. The purpose of this study is to examine students' views about the OSLM in an e-learning system. Design/methodology/approach: This case study was conducted with 40…
Descriptors: Student Attitudes, Self Evaluation (Individuals), Peer Evaluation, Electronic Learning
Aziman Abdullah – International Society for Technology, Education, and Science, 2023
This study explores the potential of using screen time data in learning management systems (LMS) to estimate student learning time (SLT) and validate the credit value of courses. Gathering comprehensive data on actual student learning time is difficult, so this study uses LMS Moodle logs from a computer programming course with 490 students over 16…
Descriptors: Time Factors (Learning), Handheld Devices, Computer Use, Television Viewing
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