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Bolloju, Narasimha – ACM Transactions on Computing Education, 2022
Domain models in software engineering--often represented as class diagrams--depict relevant classes in a given problem domain along with necessary relationships among those classes. These models are important because they establish links between the requirements of a given system under development and the subsequent phases of the systems…
Descriptors: Models, Computer Software, Student Attitudes, Cooperation
Md Al Amin; Yang Sok Kim; Mijin Noh – Education and Information Technologies, 2025
The introduction of artificial intelligence technologies like ChatGPT has brought a revolution in various sectors, including higher education. The study aims to examine the drivers that influence ChatGPT adoption among students in higher studies in Bangladesh. This study combined UTAUT model components with constructs such as perceived knowledge…
Descriptors: Trust (Psychology), Artificial Intelligence, Computer Software, Social Influences
Xieling Chen; Haoran Xie; Di Zou; Lingling Xu; Fu Lee Wang – Educational Technology & Society, 2025
In massive open online course (MOOC) environments, computer-based analysis of course reviews enables instructors and course designers to develop intervention strategies and improve instruction to support learners' learning. This study aimed to automatically and effectively identify learners' concerned topics within their written reviews. First, we…
Descriptors: Classification, MOOCs, Teaching Skills, Artificial Intelligence
Fatni Mufit; Yeka Hendriyani; Muhammad Dhanil – Journal of Turkish Science Education, 2024
This research aims to design immersive virtual reality with cognitive conflict to support practical learning of quantum physics. This type of research is design research through the stages of needs analysis, product design, validity test, and practicality test. The needs analysis used questionnaire sheets distributed with Google Forms and obtained…
Descriptors: Teaching Methods, Physics, Science Instruction, Quantum Mechanics
Ali Ardalan – Decision Sciences Journal of Innovative Education, 2025
In response to a large backlog of demand for data analytics expertise, universities are adding analytics courses and/or programs. Data visualization and exploration are among the pillars of the analytics curriculum and should be included in analytics programs. This article presents the philosophy, structure, and content of a data visualization and…
Descriptors: Models, Data Analysis, Visualization, Statistics Education
Rand Al-Dmour; Hani Al-Dmour; Yazeed Al-Dmour; Ahmed Al-Dmour – Journal of International Students, 2025
In this study, we examine the role of AI-driven marketing in international student recruitment, focusing on how perceived usefulness, trust, and personalization influence decision-making. Grounded in the Technology Acceptance Model (TAM), the Trust-Based Decision-Making Model, and the Personalization--Privacy Paradox, we studied how AI-powered…
Descriptors: Foreign Students, Student Recruitment, Trust (Psychology), Privacy
Poe, Laura; Mew, Lionel – Industry and Higher Education, 2022
The objective of traditional software development courses focuses on competencies in the programming languages and technical tools. Project methodologies and software development are typically taught as theory-driven and separate courses in Information Systems undergraduate programs. Rather than teaching project methodologies as secondary to the…
Descriptors: Computer Software, Active Learning, Courses, Teaching Methods
J. Bradley Barger; Danielle N. Edwards – Anatomical Sciences Education, 2024
Skull anatomy is a difficult region for anatomy students to learn and understand but is necessary for a variety of health professional students. To improve learning, a 3D-printed human skull was developed, produced, and distributed to a course of 83 dental students for use as a take-home study tool over the 10-week anatomy course. The 70% scale…
Descriptors: Anatomy, Student Attitudes, Dental Schools, Computer Software
Jian-Hong Ye; Mengmeng Zhang; Weiguaju Nong; Li Wang; Xiantong Yang – Education and Information Technologies, 2025
ChatGPT, as an example of generative artificial intelligence, possesses high-level conversational and problem-solving capabilities supported by powerful computational models and big data. However, the powerful performance of ChatGPT might enhance learner dependency. Although it has not yet been confirmed, many teachers and scholars are also…
Descriptors: Artificial Intelligence, College Students, Problem Solving, Student Attitudes
Prasad, Prajish; Iyer, Sridhar – Research and Practice in Technology Enhanced Learning, 2022
Evaluating a software design is an important practice of expert software designers. They spend significant time evaluating their solution, by developing an integrated mental model of the software design and the requirements. However, sufficient emphasis has not been given on teaching and learning of evaluation practices in software design courses,…
Descriptors: Computer Software, Design, Computer Science Education, Models
Amin Shahini – Language Learning in Higher Education, 2025
In recent years, Social Networking Sites (SNSs) have witnessed a substantial surge in global user adoption. Apart from their primary intended functionalities, these platforms have been increasingly utilized for language learning purposes. However, the extent to which they cater to the needs of language learners remains a longstanding question. The…
Descriptors: Social Media, Student Attitudes, Social Networks, English (Second Language)
Yonit Nissim; Eitan Simon – Journal of Education for Teaching: International Research and Pedagogy, 2025
This preliminary quantitative research investigates preservice teachers' (PSTs) perceptions of adopting ChatGPT, an artificial intelligence (AI) tool, focusing on the early stage of the diffusion of innovation (DOI) process. The study aims to understand PSTs' innovation consciousness and how it influences their perceptions of integrating ChatGPT…
Descriptors: Models, Technology Integration, Artificial Intelligence, Constructivism (Learning)
Junfeng Zhao; Xiang Li; Hong Liao – Education and Information Technologies, 2025
In an increasingly globalized world, translation technologies are critical in facilitating language comprehension and translation performance, especially among college EFL students. Despite their potential, the factors impacting their actual use in tertiary education remain underexplored. This study employs the UTAUT2 model to identify…
Descriptors: College Students, English (Second Language), Second Language Learning, Second Language Instruction
Steger, Florian; Kizilhan, Jan Ilhan – Technology, Knowledge and Learning, 2022
While university students in developing countries welcome digital learning tools, they frequently lack Information and Communication Technology (ICT) skills which enable them to successfully carry out activities linked to information and communication technologies. This, in turn, means that they struggle to meet practical academic and professional…
Descriptors: Information Technology, Graduate Students, Computer Software, Teaching Methods
Sakorn Atthachakara – Journal of Education and Learning, 2025
The objectives of this research were to develop an innovative proactive competency-based learning model integrated with Cloud technology and to evaluate its effectiveness by comparing creativity and academic achievement before and after implementation, as well as measuring student satisfaction with the model. The sample consisted of 27 fourth-year…
Descriptors: Social Studies, College Faculty, Competency Based Education, Teacher Attitudes

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