Publication Date
| In 2026 | 0 |
| Since 2025 | 704 |
| Since 2022 (last 5 years) | 3554 |
| Since 2017 (last 10 years) | 7420 |
| Since 2007 (last 20 years) | 15004 |
Descriptor
Source
Author
Publication Type
Education Level
Audience
| Practitioners | 2852 |
| Teachers | 2010 |
| Researchers | 608 |
| Administrators | 473 |
| Media Staff | 268 |
| Students | 245 |
| Policymakers | 201 |
| Parents | 78 |
| Counselors | 33 |
| Support Staff | 22 |
| Community | 21 |
| More ▼ | |
Location
| Australia | 499 |
| United Kingdom | 474 |
| Turkey | 472 |
| Canada | 364 |
| China | 307 |
| Taiwan | 248 |
| United States | 228 |
| Indonesia | 222 |
| Spain | 221 |
| California | 195 |
| Germany | 163 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 11 |
| Meets WWC Standards with or without Reservations | 16 |
| Does not meet standards | 17 |
Anastasia Angelopoulou; Rania Hodhod; Kristin Lilly; Ann Newland – Journal of Postsecondary Education and Disability, 2023
People with disabilities rely on a range of accessible technologies to interface with the digital world. However, their needs are often not considered when developing applications in introductory computer sciences courses. These courses traditionally focus on teaching technical skills that do not include those for designing and developing…
Descriptors: Computer Science Education, Accessibility (for Disabled), Disabilities, Design
Ames, Allison J.; Au, Chi Hang – Measurement: Interdisciplinary Research and Perspectives, 2018
Stan is a flexible probabilistic programming language providing full Bayesian inference through Hamiltonian Monte Carlo algorithms. The benefits of Hamiltonian Monte Carlo include improved efficiency and faster inference, when compared to other MCMC software implementations. Users can interface with Stan through a variety of computing…
Descriptors: Item Response Theory, Computer Software Evaluation, Computer Software, Programming Languages
Cynthia Bansak; Julie K. Smith; Christine L. Storrie – Journal of Economic Education, 2025
The authors of this article describe three student-driven learning modules developed from their respective College Fed Challenge courses. These activities are ready-to-apply in a wide range of courses to facilitate adoption without a large time commitment. In the "Pick a Policy Maker" module, students gain an understanding of the…
Descriptors: Macroeconomics, Economics Education, Teamwork, Graphs
Vladimir Román Gutiérrez-Huancayo – LEARN Journal: Language Education and Acquisition Research Network, 2025
The present study aims to investigate how social media can influence the development of oral skills in 60 students from a higher education institution in Peru. In this regard, mixed-methods research was conducted, with pre and post-tests, to evaluate the before and after of implementing a program that involved uploading videos recorded by the…
Descriptors: Social Networks, Social Media, Oral Language, Psychological Patterns
Miroslava Petrova; Claas Kuhnen – Design and Technology Education, 2025
Integration of Artificial Intelligence (AI) in the design process is a growing area of research interest. Three years after its public launch in 2022, AI has already established itself as the most disruptive tool revolutionizing how designers conceptualize, iterate and innovate. As AI technologies continue to evolve, it is pertinent that design…
Descriptors: Artificial Intelligence, Computer Software, International Cooperation, Institutional Cooperation
Albert Rof Bertrans; Andrea Bikfalvi; Pilar Marques – International Journal of Distance Education Technologies, 2025
Led by artificial intelligence (AI), digital technologies are acting as a lever for significant change in higher education. Innovative formats such as macrolearning, the concatenation of a significant number of microlearning units, are consequently emerging. The purpose of this paper is to explore students' preferences for macrolearning programmes…
Descriptors: Preferences, Student Attitudes, Artificial Intelligence, Computer Software
David Firth; Tyler Johnson; Shawn F. Clouse; Patricia Akello – Information Systems Education Journal, 2025
As smartphone ownership has steadily increased there has been a rise in individuals that display Problematic Smartphone Use (PSU). Through a comprehensive literature review of PSU it quickly became evident that research into PSU intervention strategies such as Cognitive Behavior Therapy (CBT) and Digital Detox are focused on "collectivist…
Descriptors: Computer Science Education, Social Media, Computer Software, Collectivism
Kadek Adi Wibawa; I Dewa Gede Agung Pandawana; I Made Wena – Mathematics Teaching Research Journal, 2025
The integration of technology in entrepreneurship arithmetic that uses realistic mathematic education as the basis into learning processes is instrumental in creating understanding and problem-solving abilities among students. However, until recently only a few technology-based learning media have been developed to accommodate the aforementioned…
Descriptors: Mathematics Instruction, Entrepreneurship, Teaching Methods, Instructional Effectiveness
Christopher H. Clark, Editor; Cathryn van Kessel, Editor – Teachers College Press, 2025
Whether skeptical or enthusiastic about AI, every social studies educator will find something useful for their practice in this book. The introduction of widely available generative AI tools has caused a frenzy of both positive and negative reactions. Between utopian visions and apocalyptic predictions of AI's impact on education, there is a need…
Descriptors: Social Studies, Artificial Intelligence, Technology Uses in Education, Computer Software
Mustafa Taktak; Görsev Bafrali – International Journal of Technology in Education, 2025
This study aimed to develop a valid and reliable scale to measure individuals' and organizations' attitudes toward the use of ChatGPT, emphasizing the necessity for organizations to adapt to rapidly evolving information and technology environments. The methodology consisted of three stages. In the first stage, a 13-item draft scale was…
Descriptors: Artificial Intelligence, Technology Uses in Education, Factor Analysis, Validity
Jan Delcker; Joana Heil; Dirk Ifenthaler – Educational Technology Research and Development, 2025
Artificial intelligence (AI) competence in education is a set of skills that enable teachers to ethically and responsibly develop, apply, and evaluate AI for learning and teaching processes. While AI competence becomes a key competence for teachers, current research on the acceptance and use of AI in classroom practice with a specific focus on the…
Descriptors: Artificial Intelligence, Technological Literacy, Pedagogical Content Knowledge, Career and Technical Education Schools
Ha Nguyen; Jake Hayward – Journal of Science Education and Technology, 2025
High-quality science assessments are multi-dimensional. They promote disciplinary practices, core ideas, cross-cutting concepts, and science sense-making. In this paper, we investigate the feasibility of using generative artificial intelligence (GenAI), specifically multimodal large language models (MLLMs), to annotate and provide improvement…
Descriptors: Science Tests, Criticism, Artificial Intelligence, Technology Uses in Education
Francis Ward; Jeasik Cho; Jin Kyeong Jung; Christopher Tognocchi; Taylor Beadles; Jongpil Cheon – Multicultural Education Review, 2025
This paper explores the integration of AI, specifically ChatGPT, into multicultural education, utilizing John Dewey's experiential learning philosophy to foster reflective thinking and democratic citizenship. We propose a three-pathway framework -- Transmissional, Transactional, and Transformative (TTT) -- grounded in Dewey's principles of…
Descriptors: Multicultural Education, Educational Practices, High School Students, Educational Philosophy
Making AI Generative for Higher Education: Adoption and Challenges among Instructors and Researchers
Claire Baytas; Dylan Ruediger – ITHAKA S+R, 2025
In fall 2023, Ithaka S+R launched a collective research project with the objective of studying generative AI's impact on teaching, learning, and research at the postsecondary level. Through a collaboration with 19 universities from across the US and Canada, the "Making AI Generative for Higher Education" project has provided an…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Technology Integration
Mickael Antoine Joseph; Jansirani Natarajan; Omar Al Zaabi; Srinivasa Rao Sirasanagandla – Anatomical Sciences Education, 2025
Anatomy and physiology courses are foundational in nursing education but are often perceived as challenging due to heavy content load. Innovative teaching methods, including social media platforms like Instagram Reels, may enhance student engagement and learning. In this quasi-experimental pre-post-test design with a control group, we examined the…
Descriptors: Student Motivation, Anatomy, Physiology, Science Instruction

Peer reviewed
Direct link
