NotesFAQContact Us
Collection
Advanced
Search Tips
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 26 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Jyoti Sharma; B. Biswal; Pankaj Tyagi; Shobha Bagai – Gifted and Talented International, 2024
Academically gifted students or high potential learners don't feel challenged in regular classrooms. Teachers in schools are also not quipped with pedagogical interventions to meet the advanced learning needs of gifted students. Mentoring is considered an effective method to guide, motivate and optimize learning abilities of gifted students. The…
Descriptors: Mentors, Academically Gifted, Program Development, Science Education
Ohio Coalition for the Education of Children with Disabilities, 2022
Children's ways of learning are as different as the colors of the rainbow. All children have different personalities, preferences and tastes; they all have a certain way they prefer to learn. Teachers and parents need to be aware of and value these differences. Children's brains develop faster from birth to age three than any other time, and more…
Descriptors: Educational Environment, Brain, Learning Processes, Intelligence Quotient
Peer reviewed Peer reviewed
Direct linkDirect link
Yung-Hsiang Hu – Education and Information Technologies, 2025
Flipped classroom pedagogy, primarily focused on in-person classroom settings, emphasizes pre-class independent learning where students engage asynchronously with online materials and self-assessments. However, traditional pre-class learning methods, such as watching pre-recorded instructional videos and completing multiple-choice…
Descriptors: Asynchronous Communication, Learning Processes, Flipped Classroom, Artificial Intelligence
Peer reviewed Peer reviewed
Direct linkDirect link
Siran Li; Jiangyue Liu; Qianyan Dong – Australasian Journal of Educational Technology, 2025
Recent advancements in generative artificial intelligence (GenAI) have drawn significant attention from educators and researchers. However, its effects on learners' programming performance, self-efficacy and learning processes remain inconclusive, while the mechanisms underlying its efficiency-enhancing potential are underexplored. This study…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Science Education, Programming
Peer reviewed Peer reviewed
Direct linkDirect link
Mikkel Godsk; Pernille Risør Elving – Journal of Interactive Learning Research, 2024
The article provides an answer to the question: 'How can ChatGPT be used as an educational technology for learning?' by identifying its educational benefits and downsides for teaching and learning as seen from the educators' perspective. To answer this question a mixed methods case study was carried out in the context of two workshops involving a…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Learning Processes
Peer reviewed Peer reviewed
Direct linkDirect link
Matt Bower; Jodie Torrington; Jennifer W. M. Lai; Peter Petocz; Mark Alfano – Education and Information Technologies, 2024
There has been widespread media commentary about the potential impact of generative Artificial Intelligence (AI) such as ChatGPT on the Education field, but little examination at scale of how educators believe teaching and assessment should change as a result of generative AI. This mixed methods study examines the views of educators (n = 318) from…
Descriptors: Artificial Intelligence, Teacher Evaluation, Surveys, Computer Assisted Testing
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Dana Di Pardo Léon-Henri; Julien Henriet; Marie-Laure Betbeder; Françoise Greffier; Floran Carvalho – Teaching English with Technology, 2025
This research delves into the transformative potential of humanoid robotics and artificial intelligence (AI) in the field of Teaching English to Speakers of Other Languages (TESOL), spotlighting their innovative contributions to modern language instruction. With a focus on robot-assisted language learning (RALL) and AI-powered tools, particularly…
Descriptors: Artificial Intelligence, Robotics, Computer Software, Technology Integration
Peer reviewed Peer reviewed
Direct linkDirect link
Thanh Pham; Binh Nguyen; Son Ha; Thanh Nguyen Ngoc – Australasian Journal of Educational Technology, 2023
This research explored the potential of artificial intelligence (AI)-assisted learning using ChatGPT in an engineering course at a university in South-east Asia. The study investigated the benefits and challenges that students may encounter when utilising ChatGPT-3.5 as a learning tool. This research developed an AI-assisted learning flow that…
Descriptors: Artificial Intelligence, Engineering Education, Universities, Foreign Countries
Yipu Zheng – ProQuest LLC, 2024
This dissertation investigates how collective process-oriented documentation tools, combined with Natural Language Processing (NLP) techniques, can enhance knowledge construction in hands-on, open-ended learning environments, such as makerspaces. Through a three-year design-based research, the study developed and tested a collective documentation…
Descriptors: Shared Resources and Services, Open Education, Documentation, Natural Language Processing
Peer reviewed Peer reviewed
Direct linkDirect link
Bin Zou; Qinglang Lyu; Yining Han; Zijing Li; Weilei Zhang – Computer Assisted Language Learning, 2025
Adapted from the Technology Acceptance Model (TAM), the Integrated Model of Technology Acceptance (IMTA) has been used to examine the perceptions and acceptance of computer-assisted language learning (CALL), such as online learning, mobile learning, and learning management systems. However, whether IMTA can be applied to empirical research on…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Artificial Intelligence
Peer reviewed Peer reviewed
Direct linkDirect link
Fabian Kieser; Peter Wulff; Jochen Kuhn; Stefan Küchemann – Physical Review Physics Education Research, 2023
Generative AI technologies such as large language models show novel potential to enhance educational research. For example, generative large language models were shown to be capable of solving quantitative reasoning tasks in physics and concept tests such as the Force Concept Inventory (FCI). Given the importance of such concept inventories for…
Descriptors: Physics, Science Instruction, Artificial Intelligence, Computer Software
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Ali Al Ghaithi; Behnam Behforouz; Hassan Isyaku – Turkish Online Journal of Distance Education, 2024
This study tried to design a WhatsApp bot to be implemented in English language vocabulary learning context in Oman. 150 Omani English as a Foreign Language (EFL) students from three different proficiency levels were selected based on random sampling. To measure the effectiveness of the treatment, pretests, posttests, and delayed posttests were…
Descriptors: Computer Software, Teaching Methods, Computer Assisted Instruction, Student Attitudes
Peer reviewed Peer reviewed
Direct linkDirect link
Wu-Yuin Hwang; Bo-Chen Guo; Anh Hoang; Ching-Chun Chang; Nien-Tsu Wu – Computer Assisted Language Learning, 2024
This study introduced an app, called Smart UEnglish, for helping EFL conversation practices in authentic contexts. These conversation practices were categorized into 'designed talk' and 'free talk', based on the content of an English textbook and authentic ambient environment that includes such things as transportation, weather and scenic…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Software
Peer reviewed Peer reviewed
Direct linkDirect link
Suárez, Maria del Mar; Gilabert, Roger; Moskvina, Natalia – TESOL Journal, 2021
Few studies have explored the learning opportunities different audiovisual genres may create for vocabulary learning. Even fewer have looked at how learners' viewing experience is affected by individual differences (IDs) in vocabulary size, attention, inhibition, or working memory. Such IDs have been shown to mediate early and long-term vocabulary…
Descriptors: Vocabulary Development, Attention Control, Pretests Posttests, Inhibition
Hu, Xiangen; Cai, Zhiqiang; Hampton, Andrew J.; Cockroft, Jody L.; Graesser, Arthur C.; Copland, Cameron; Folsom-Kovarik, Jeremiah T. – Grantee Submission, 2019
In this paper, we consider a minimalistic and behavioristic view of AIS to enable a standardizable mapping of both the behavior of the system and of the learner. In this model, the "learners" interact with the learning "resources" in a given learning "environment" following preset steps of learning…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Metadata, Behavior Patterns
Previous Page | Next Page »
Pages: 1  |  2