NotesFAQContact Us
Collection
Advanced
Search Tips
Showing 2,401 to 2,415 of 28,610 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Punya Mishra; Danah Henriksen – TechTrends: Linking Research and Practice to Improve Learning, 2024
In this article, we explore the intersection of creativity, education, and technology, with a focus on the impact of Generative AI (GenAI). We delve into the transformative potential of GenAI in redefining educational and creative processes and challenging our existing notions of learning and creativity. Through a conversation with renowned…
Descriptors: Creativity, Education, Technology, Artificial Intelligence
Peer reviewed Peer reviewed
Direct linkDirect link
Rebecka Weegar; Peter Idestam-Almquist – International Journal of Artificial Intelligence in Education, 2024
Machine learning methods can be used to reduce the manual workload in exam grading, making it possible for teachers to spend more time on other tasks. However, when it comes to grading exams, fully eliminating manual work is not yet possible even with very accurate automated grading, as any grading mistakes could have significant consequences for…
Descriptors: Grading, Computer Assisted Testing, Introductory Courses, Computer Science Education
Peer reviewed Peer reviewed
Direct linkDirect link
Sho Ohigashi; Shuhei Takagi; Yusuke Moriguchi – European Journal of Developmental Psychology, 2024
Emotion labels can be helpful for creating emotion categories. Russell and Widen (2002) demonstrated the label superiority effect; that is, emotion labels produce a more precise categorization of emotional faces than the corresponding emotional faces. The current study aimed to test the label superiority effect on emotional voices and examined…
Descriptors: Emotional Intelligence, Nonverbal Learning, Pictorial Stimuli, Foreign Countries
Peer reviewed Peer reviewed
Direct linkDirect link
Sarah K. Burriss; Kevin Leander – Reading Research Quarterly, 2024
Literacy has become inextricably bound with machine processes, especially in the age of ubiquitous, consequential artificial intelligence (AI). Despite a relatively long history of AI involvement in our everyday reading and writing practices, the public availability of generative AI tools has set off a wave of heated debate--and concern--about…
Descriptors: Ethics, Artificial Intelligence, Literacy, Computer Software
Peer reviewed Peer reviewed
Direct linkDirect link
Femke Scheffers; Eveline van Vugt; Xavier Moonen – Journal of Intellectual Disabilities, 2024
In people with intellectual disabilities research and policy are often still focused on risks or the prevention of risks. Research on the process of resilience is in its infancy in the care for people with intellectual disabilities. In the current study, applying a guided photovoice procedure, people with intellectual disabilities were asked what…
Descriptors: Foreign Countries, Intellectual Disability, Resilience (Psychology), Coping
Peer reviewed Peer reviewed
Direct linkDirect link
Jaeho Jeon; Seongyong Lee; Seongyune Choi – Interactive Learning Environments, 2024
Chatbot research has received growing attention due to the rapid diversification of chatbot technology, as demonstrated by the emergence of large language models (LLMs) and their integration with automatic speech recognition. However, among various chatbot types, speech-recognition chatbots have received limited attention in relevant research…
Descriptors: Literature Reviews, Content Analysis, Second Language Learning, Artificial Intelligence
Peer reviewed Peer reviewed
Direct linkDirect link
Soomaiya Hamid; Narmeen Zakaria Bawany – Interactive Learning Environments, 2024
E-learning is the process of sharing knowledge out of the traditional classrooms through different online tools using internet. The availability and use of these tools are not easy for every student. Many institutions gather e-learning feedback to know the problems of students to improve their systems. In e-learning systems, typically a high…
Descriptors: Feedback (Response), Electronic Learning, Automation, Classification
Peer reviewed Peer reviewed
Direct linkDirect link
Brie Jontry – Tribal College Journal of American Indian Higher Education, 2024
In spring of 2024, Diné College students in the course College Composition II began the semester by reading "Making Kin with the Machines" (Lewis et al., 2018), an essay by four Indigenous scholars who suggest their understanding of kinship drawn from Hawaiian, Plains Cree, and Lakota epistemologies offers a productive model for…
Descriptors: Navajo (Nation), American Indian Students, College Students, Writing (Composition)
Peer reviewed Peer reviewed
Direct linkDirect link
Simone C. O. Conceição; Susan Yelich Biniecki – New Directions for Adult and Continuing Education, 2024
This article explores the evolving role of technology in nonformal and informal adult learning settings, guided by the theory of connectivism. It examines how digital platforms, artificial intelligence (AI), and other technological advancements enhance the accessibility, personalization, and efficiency of adult learning. The various educational…
Descriptors: Adult Learning, Informal Education, Conventional Instruction, Artificial Intelligence
Peer reviewed Peer reviewed
Direct linkDirect link
Steffen Steinert; Karina E. Avila; Stefan Ruzika; Jochen Kuhn; Stefan Küchemann – Smart Learning Environments, 2024
Effectively supporting students in mastering all facets of self-regulated learning is a central aim of teachers and educational researchers. Prior research could demonstrate that formative feedback is an effective way to support students during self-regulated learning. In this light, we propose the application of Large Language Models (LLMs) to…
Descriptors: Formative Evaluation, Feedback (Response), Natural Language Processing, Artificial Intelligence
Peer reviewed Peer reviewed
Direct linkDirect link
Bader Muteb Alsulami; Abdullah Baihan; Ahed Abugabah – Cogent Education, 2024
The COVID-19 pandemic precipitated an abrupt transition to online learning, impacting students with disabilities uniquely. This study examines the experiences of 62 such students in the new educational paradigm, employing a mixed-methods approach. Quantitative data were collected through surveys and questionnaires to assess privacy and security…
Descriptors: Students with Disabilities, Inclusion, Artificial Intelligence, Computer Security
Peer reviewed Peer reviewed
Direct linkDirect link
Nadia Ahmad; Hirok Chakraborty; Ratnesh Sinha – Cogent Education, 2024
Background: Artificial Intelligence (AI) has immense potential varying from diagnosing, decision-making in-patient care, and education. To successfully integrate AI into medicine and medical education, it is important to know the outlook and willingness of medical students. This study was done to learn about the medical students opinions about it…
Descriptors: Medical Students, Student Attitudes, Artificial Intelligence, Medical Education
Peer reviewed Peer reviewed
Direct linkDirect link
Kudzayi Savious Tarisayi – Cogent Education, 2024
As artificial intelligence proliferates, so do associated hopes and fears. This study explores such tensions within South African higher education following ChatGPT's launch, analyzing perceived threats alongside opportunities for responsibly harnessing benefits. Adopting a socio-technical framework recognizing technology's interdependence with…
Descriptors: Foreign Countries, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
Peer reviewed Peer reviewed
Direct linkDirect link
Jaclyn Ocumpaugh; Rod D. Roscoe; Ryan S. Baker; Stephen Hutt; Stephen J. Aguilar – International Journal of Artificial Intelligence in Education, 2024
The artificial intelligence in education (AIED) community has produced technologies that are widely used to support learning, teaching, assessment, and administration. This work has successfully enhanced test scores, course grades, skill acquisition, comprehension, engagement, and related outcomes. However, the prevailing approach to adaptive and…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Individualized Instruction
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Markus Knöpfel; Marco Kalz; Patric Meyer – Journal of Problem Based Learning in Higher Education, 2024
Future students are confronted with a complex world that demands the ability to solve problems in unstructured, undefined, and unfamiliar situations. The aim of the present study was to investigate the development of problem-solving skills through the implementation of Problem-Based Learning (PBL). While previous research has primarily focused on…
Descriptors: Problem Solving, Problem Based Learning, Program Effectiveness, Skill Development
Pages: 1  |  ...  |  157  |  158  |  159  |  160  |  161  |  162  |  163  |  164  |  165  |  ...  |  1908