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Felix Winkelnkemper; Lukas Höper; Carsten Schulte – Informatics in Education, 2024
When it comes to mastering the digital world, the education system is more and more facing the task of making students competent and self-determined agents when interacting with digital artefacts. This task often falls to computing education. In the traditional fields of computing education, a plethora of models, guidelines, and principles exist,…
Descriptors: Digital Literacy, Computer Uses in Education, Models, Computer Science Education
Athman Ahmad; Camilius Sanga; Kenneth Mapunda; Dismas Mwaseba; Ruth Haug – International Journal of Education and Development using Information and Communication Technology, 2023
Albeit its critical role in the development of the agriculture sector, the delivery of Extension and Advisory Services (EASs) in Tanzania has remained unsatisfactory and has had a limited impact on the sector. Among others, conventional approaches used in providing EASs have been found inadequate in meeting the priority needs of their clientele.…
Descriptors: Foreign Countries, Rural Extension, Computer Uses in Education, Stakeholders
Schneider, Sascha; Beege, Maik; Nebel, Steve; Schnaubert, Lenka; Rey, Günter Daniel – Educational Psychology Review, 2022
For a long time, research on individuals learning in digital environments was primarily based on cognitive-oriented theories. This paper aims at providing evidence that social processes affect individual learning with digital materials. Based on these theories and empirical results, a social-processes-augmented theory is suggested: the…
Descriptors: Learning Theories, Computer Uses in Education, Social Cognition, Social Influences
Payne, Linda; Tawfik, Andrew; Olney, Andrew M. – TechTrends: Linking Research and Practice to Improve Learning, 2022
As computers have become commonplace in everyday life, educators have begun to shift focus from "working" with computers (computer literacy) to "thinking" with computers (computational thinking). This article describes the progression of computational thinking (CT) from a historical perspective. This paper will first review the…
Descriptors: Computation, Thinking Skills, Computer Uses in Education, History
Adeyinka Tella; Olutoyin Olukemi Oso; Shola Temitope Famuyiwa – Journal of Library & Information Services in Distance Learning, 2025
The study examined information delivery in distance learning libraries through metaverse technologies. The study adopted an exploratory strategy through an extensive literature analysis. Relevant academic papers, journals, industry reports, and conference proceedings located through internet databases such as Google Scholar, Scopus, and Web of…
Descriptors: Distance Education, Library Services, Computer Simulation, Artificial Intelligence
Fereshteh Zeynivandnezhad; Ramón Emilio Fernández; Yudariah binti Mohammad Yusof; Zaleha binti Ismail – International Electronic Journal of Mathematics Education, 2025
This study explores the effects of a computer algebra system on students' mathematical thinking. Mathematical thinking is identified with mathematical thinking powers and structures. We define mathematical thinking as students' capacity to specialize and generalize their previous knowledge to solve new mathematical problems. The study was…
Descriptors: Algebra, Computer Uses in Education, Mathematical Logic, Thinking Skills
Fawzi Alghazali; Mohammed Alzyoudi – Novitas-ROYAL (Research on Youth and Language), 2025
This study presents an exhaustive analysis of the phonological, morphological, and pragmatic dimensions of an artificial intelligence (AI) application developed to facilitate the pedagogical dissemination of Arabic to non-native speakers. The research examines Arabits, a leading AI application created by the Alef Educational Institution, designed…
Descriptors: Arabic, Artificial Intelligence, Second Language Instruction, Computer Uses in Education
Lihui Sun; Liang Zhou – Education and Information Technologies, 2025
Generative Artificial Intelligence (GenAI) has fundamentally transformed the education landscape, offering unprecedented potential for personalized learning and enhanced teaching methods. This research conducted two sub-studies aimed at exploring the influences and differences in college students' attitudes towards generative artificial…
Descriptors: Artificial Intelligence, Computer Uses in Education, Computer Attitudes, Student Attitudes
Rosette Akimana; Evode Mukama; Jeannette Musengimana; Leonard Nungu – Education and Information Technologies, 2025
The study aimed to explore the role of e-portfolios in supporting active student engagement in chemistry learning within postgraduate education in Rwanda. The researchers adopted the qualitative descriptive approach, in which a random sample of 4 chemistry students at the University of Rwanda, African Centre of Excellence for Innovative Teaching…
Descriptors: Learner Engagement, Graduate Students, Chemistry, Portfolios (Background Materials)
Andy Nguyen; Luna Huynh; Belle Dang; Sami Pohjolainen; Juho Mattila; Iikka J. Paajala; Ruut Tikkanen; Essi Lehto; Fedja Poikonen; Pasi Karppinen – Education and Information Technologies, 2025
The metaverse has gained considerable attention and enormous investments in recent years and is increasingly recognized as a critical domain for future interactions and communications. Despite its growing importance, there is a notable lack of research on metaverse literacy, especially in education and training. This study aims to conceptualize…
Descriptors: Computer Simulation, Computer Uses in Education, Digital Literacy, Experiential Learning
Maxwell Tsoka; Jeanne Kriek – Athens Journal of Education, 2025
Digital technology (DT) does not come with a 'menu' of what teachers can select to transform their instructional practices; it is through use and reflection in/on practice that potential affordances are abstracted. Computer simulation (CS) as DT was explored through auto-ethnography, reflexivity, and action research. The findings of the study…
Descriptors: Educational Technology, Rural Schools, Computer Simulation, Student Needs
Jessica Lees; Torsten Ris?r; Linda Sweet; Margaret Bearman – Advances in Health Sciences Education, 2025
The presence of digital technologies in clinical learning environments is increasing. However, there is little research into how technologies influence the interplay between touch and the acquisition of physical examination skills by health professional students. In this study, we aimed to explore how digital technologies feature in clinical…
Descriptors: Clinical Teaching (Health Professions), Computer Uses in Education, Physical Examinations, Medical Education
Anett Wolgast; Stefan Bieletzke – European Journal of Psychology and Educational Research, 2025
Research on academic outcomes has extensively explored students' emotions, motivation, and learning behavior. While further research highlights the role of individual interactions with generative artificial intelligence (AI), a gap exists in understanding the longitudinal dynamic associations between university students' interactions with AI…
Descriptors: Artificial Intelligence, College Students, Student Attitudes, Computer Uses in Education
Suzanne Estaphan; David Kramer; Harry J. Witchel – Advances in Physiology Education, 2025
The rise of artificial intelligence (AI) is transforming educational practices, particularly in assessment. While AI may support the students in idea generation and summarization of source materials, it also introduces challenges related to content validity, academic integrity, and the development of critical thinking skills. Educators need…
Descriptors: Artificial Intelligence, Assignments, Student Evaluation, Computer Literacy
Justin C. Dunlap; Ryan Sissons; Ralf Widenhorn – Physical Review Physics Education Research, 2025
[This paper is part of the Focused Collection in Artificial Intelligence Tools in Physics Teaching and Physics Education Research.] We present a study in which a version of a common conservation of mechanical energy introductory physics problem, an object released on an inclined plane, is given to OpenAI's GPT-4 large language model (LLM). We…
Descriptors: Artificial Intelligence, Mechanics (Physics), Problem Solving, Energy

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