NotesFAQContact Us
Collection
Advanced
Search Tips
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing 1 to 15 of 27 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Michael W. Kessinger, Editor; Gera S. Nelson, Editor; Lesia Lennex, Editor; Kimberely Fletcher Nettleton, Editor – IGI Global, 2025
The role of AI in education is slowly growing. As a new technology, its uses and capabilities have not been fully realized or understood. AI provides many opportunities as well as challenges for supporting students, teachers, and skills development. However, from higher education faculty to preschool teachers, the ways in which AI can support…
Descriptors: Artificial Intelligence, Educational Change, Technology Integration, Educational Policy
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Amitabh Verma – Journal of Educators Online, 2025
This study provides a thorough bibliometric analysis of the research landscape concerning the application of soft computing in higher education. This study collects 5,140 pieces including books, book chapters, journal articles published in respected journals, and conference papers presented at notable international conferences that were published…
Descriptors: Bibliometrics, Computer Uses in Education, Computer Science, Higher Education
Peer reviewed Peer reviewed
Direct linkDirect link
Goran Trajkovski; Heather Hayes – Digital Education and Learning, 2025
This book explores the transformative role of artificial intelligence in educational assessment, catering to researchers, educators, administrators, policymakers, and technologists involved in shaping the future of education. It delves into the foundations of AI-assisted assessment, innovative question types and formats, data analysis techniques,…
Descriptors: Artificial Intelligence, Educational Assessment, Computer Uses in Education, Test Format
Peer reviewed Peer reviewed
Direct linkDirect link
Kashyap, Ramgopal, Ed.; Kumar, A. V. Senthil, Ed. – IGI Global, 2020
Machine learning allows for non-conventional and productive answers for issues within various fields, including problems related to visually perceptive computers. Applying these strategies and algorithms to the area of computer vision allows for higher achievement in tasks such as spatial recognition, big data collection, and image processing.…
Descriptors: Artificial Intelligence, Man Machine Systems, Video Technology, Computer Uses in Education
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Vincentas Lamanauskas, Editor – International Baltic Symposium on Science and Technology Education, 2025
These proceedings contain papers of the 6th International Baltic Symposium on Science and Technology Education (BalticSTE2025) held in Šiauliai, Lithuania, June 16-19, 2025. This collection of BalticSTE25 articles presents 13 scientific articles and an introductory article on the topic of natural science and technology education. The articles…
Descriptors: Science Education, Technology Education, STEM Education, Curriculum Development
Peer reviewed Peer reviewed
Direct linkDirect link
Erasmos Charamba, Editor; Shalom Nokuthula Ndhlovana, Editor – IGI Global, 2025
Improving academic performance and achievement requires educational systems to adopt inclusive learning practices that recognize and accommodate the diverse needs of all students. Inclusive education emphasizes equitable access to learning opportunities, tailored instructional methods, and supportive environments that value each learner's…
Descriptors: Academic Achievement, Inclusion, Active Learning, Game Based Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Krista Larue Keeley, Editor – IGI Global, 2025
Vocational and regional education systems undergo significant transformations through the integration of innovative approaches designed to meet the demands of local economies and global labor markets. Emphasizing practical skills, industry partnerships, and technology-driven learning, these new models focus on preparing students for real-world…
Descriptors: Educational Innovation, Career and Technical Education, School Business Relationship, School Community Relationship
Jonathan James; Tali Malkin; Deborah Nusche – OECD Publishing, 2025
Did you ever wonder how rising inequality and polarisation will shape education? Or how advances in artificial intelligence, virtual reality, and other technologies could transform teaching and learning? Trends Shaping Education is a triennial report exploring the social, technological, economic, environmental and political forces transforming…
Descriptors: Educational Trends, Global Approach, Conflict, International Cooperation
Johnson, L.; Adams Becker, S.; Estrada, V.; Martín, S. – New Media Consortium, 2013
The "Technology Outlook for STEM+ Education 2013-2018: An NMC Horizon Project Sector Analysis" reflects a collaborative research effort between the New Media Consortium (NMC), the Centro Superior para la Enseñanza Virtual (CSEV), the Departamento de Ingeniería Eléctrica, Electrónica y de Control at the Universidad Nacional de Educación a…
Descriptors: Technology Uses in Education, Computer Uses in Education, Adoption (Ideas), Technological Advancement
Peer reviewed Peer reviewed
Ploetzner, Rolf; And Others – European Journal of Psychology of Education, 1990
Discusses the artificial-intelligence-based microworld DiBi and MULEDS, a multilevel diagnosis system. Developed to adapt tutoring style to the individual learner. Explains that DiBi sets up a learning environment, and simulates elastic impacts as a subtopic of classical mechanics, and supporting reasoning on different levels of mental domain…
Descriptors: Artificial Intelligence, Computer Uses in Education, Educational Technology, Learning Strategies
Raghavan, Kalyani; Katz, Arnold – Technological Horizons in Education, 1989
Described is an instructional aid that employs artificial intelligence methods to assist students in beginning economics courses to improve their problem-solving skills. Discussed are the rationale, structure, and evaluation of this program. (CW)
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Software Reviews, Computer Uses in Education
Peer reviewed Peer reviewed
Matsuba, Stephen Naoyuki – Computers and the Humanities, 1994
Describes how linguistic analysis can change the computer from a generator of data that can be used to develop a critical analysis to a tool that provides a means to explore the processes and inputs that generate different interpretations of literary works. Illustrates this concept by analyzing a Shakespearean sonnet. (CFR)
Descriptors: Artificial Intelligence, Computer Uses in Education, Critical Theory, Discourse Analysis
Peer reviewed Peer reviewed
Fey, James T. – Educational Studies in Mathematics, 1989
Provided is an overview and analysis of recent progress in applying electronic information technology to creation of new environments for intellectual work in mathematics. Describes the impact of numerical computation, graphic computation, symbolic computation, multiple representation of information, programing and information, and artificial…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Oriented Programs, Computer Uses in Education
Peer reviewed Peer reviewed
Selnow, Gary W. – American Behavioral Scientist, 1988
Asks whether the computer is another channel of communication, if its interactive qualities make it an information source, or if it is an undefined hybrid. Concludes that computers are neither the medium nor the source but will in the future provide the possibility of a sophisticated interaction between human intelligence and artificial…
Descriptors: Artificial Intelligence, Computer Uses in Education, Computers, Cybernetics
Johnson, D. Lamont; Harlow, Steven D. – Diagnostique, 1989
The computer can be incorporated into educational assessment at two levels: clerical work such as scoring, converting scores, administering test items, and organizing data into manageable profiles; and expanding horizons and deepening the understanding of what is important to measure and how best to measure it through expert systems and new…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Computer Uses in Education, Data Analysis
Previous Page | Next Page »
Pages: 1  |  2