NotesFAQContact Us
Collection
Advanced
Search Tips
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 22 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Kaitlyn Tracy; Ourania Spantidi – IEEE Transactions on Learning Technologies, 2025
Virtual reality (VR) has emerged as a transformative educational tool, enabling immersive learning environments that promote student engagement and understanding of complex concepts. However, despite the growing adoption of VR in education, there remains a significant gap in research exploring how generative artificial intelligence (AI), such as…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Simulation, Educational Technology
Peer reviewed Peer reviewed
Direct linkDirect link
Chen-Chen Liu; Gwo-Jen Hwang; Peng Yu; Yun-Fang Tu; Youmei Wang – Educational Technology Research and Development, 2025
Oral practice is challenging for foreign language education, and Corrective Feedback (CF) is often used to point out learners' pronunciation errors and to help them improve their oral skills in foreign language courses. CF is generally considered as a necessary condition for foreign language acquisition, and "reflection" and…
Descriptors: Automation, Error Correction, Feedback (Response), Peer Evaluation
Peer reviewed Peer reviewed
Direct linkDirect link
Essel, Harry Barton; Vlachopoulos, Dimitrios; Tachie-Menson, Akosua; Johnson, Esi Eduafua; Baah, Papa Kwame – International Journal of Educational Technology in Higher Education, 2022
Chatbot usage is evolving rapidly in various fields, including higher education. The present study's purpose is to discuss the effect of a virtual teaching assistant (chatbot) that automatically responds to a student's question. A pretest-posttest design was implemented, with the 68 participating undergraduate students being randomly allocated to…
Descriptors: Computer Assisted Instruction, Artificial Intelligence, Teaching Assistants, Undergraduate Students
Peer reviewed Peer reviewed
Direct linkDirect link
Galiya Ldokova; Svetlana Frumina; Suad Abdalkareem Alwaely – Smart Learning Environments, 2025
The aim of the study is to examine the influence of students' psychotypes on their learning using digital educational technologies within the Metaverse. In the course of the longitudinal experimental study, the results of the initial testing of 79 students during their undergraduate studies and the re-testing of 75 of these students during their…
Descriptors: Undergraduate Students, Graduate Students, Psychological Characteristics, Brain
Peer reviewed Peer reviewed
Direct linkDirect link
Mohamad Ahmad Saleem Khasawneh; Sayed M. Ismail; Negash Hussen – Language Testing in Asia, 2024
Artificial intelligence (AI) transforms the educational landscape by radically changing how lessons are taught and students are evaluated. In light of these facts, it is critical to consider learners' emotional and mental wellness as the building blocks of education. Given these facts, it is imperative to consider learners' emotional and mental…
Descriptors: Artificial Intelligence, Computer Software, Personal Autonomy, Mental Health
Peer reviewed Peer reviewed
PDF on ERIC Download full text
George Hanshaw; Joanna Vance; Craig Brewer – Open Praxis, 2024
This study examines the impact of AI course assistants on student learning experiences in online undergraduate courses at Los Angeles Pacific University. A controlled experiment involving 92 students across treatment and control groups was conducted to evaluate the effectiveness of AI assistants developed by Nectir. The treatment group had access…
Descriptors: Instructional Effectiveness, Artificial Intelligence, Student Experience, Undergraduate Students
Peer reviewed Peer reviewed
Direct linkDirect link
Fidan, Mustafa; Gencel, Nurgun – Journal of Educational Computing Research, 2022
This study investigated the effects of artificial intelligence (AI)-based chatbot and peer feedback mechanisms integrated into the instructional videos (IVs) as a feedback tool on learning performance and intrinsic motivation of pre-service teachers (PTs) in online learning. The participants were 144 PTs from a university in Turkey. A…
Descriptors: Academic Achievement, Learning Motivation, Video Technology, Comparative Analysis
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
Anthony Lawrence Terrell – ProQuest LLC, 2024
As a result of the COVID-19 epidemic, public school educators encountered several difficulties acquiring and integrating curriculum online. The problem addressed in this study was the negative effect online curriculum implementation had on student achievement as a result of the COVID-19 pandemic. The purpose of this qualitative, exploratory case…
Descriptors: Electronic Learning, Curriculum Implementation, Computer Assisted Instruction, COVID-19
Peer reviewed Peer reviewed
Direct linkDirect link
Godwin-Jones, Robert – Language Learning & Technology, 2021
Data collection and analysis is nothing new in computer-assisted language learning, but with the phenomenon of massive sets of human language collected into corpora, and especially integrated into systems driven by artificial intelligence, new opportunities have arisen for language teaching and learning. We are now seeing powerful artificial…
Descriptors: Data Collection, Academic Achievement, Learning Analytics, Computer Assisted Instruction
LeJeune, Lauren M.; Lemons, Christopher J. – Journal of Positive Behavior Interventions, 2021
Students with intellectual and developmental disabilities (IDD) require intensive supports, including those that target behavior, to make progress on literacy goals. In this study, we investigated whether computer-assisted instruction (CAI) may be one effective method to decrease challenging behavior and increase academic engagement. Participants…
Descriptors: Computer Assisted Instruction, Handheld Devices, Instructional Effectiveness, Behavior Problems
Peer reviewed Peer reviewed
Direct linkDirect link
Chen, Ming-Puu; Wang, Li-Chun; Zou, Di; Lin, Shu-Yuan; Xie, Haoran; Tsai, Chin-Chung – Computer Assisted Language Learning, 2022
Augmented reality (AR) deepens learning interactions by imposing digital information on top of physical settings. This study implemented an AR-enhanced theme-based contextualized learning and aimed to examine the effects of captions (non-caption, English caption and Chinese caption) and English proficiency (less proficient and proficient) on…
Descriptors: Visual Aids, Teaching Methods, Instructional Effectiveness, English (Second Language)
Peer reviewed Peer reviewed
Direct linkDirect link
Kosmas, Panagiotis; Ioannou, Andri; Zaphiris, Panayiotis – Educational Media International, 2019
The relationship among bodily movements, cognitive abilities, and academic achievement in children is receiving considerable attention in the research community. The embodied learning approach is based on the idea of an inseparable link between body and mind in learning, aiming for teaching methods that promote children's active engagement in the…
Descriptors: Motion, Cognitive Development, Correlation, Academic Achievement
Elwick, Alex, Ed. – CfBT Education Trust, 2014
This research was commissioned by CfBT Education Trust and carried out in conjunction with the Institute for the Future of the Mind at the University of Oxford. The project sought to establish whether teaching pupils about the brain could impact upon their beliefs about their own intelligence (amongst other motivational measures) and ultimately…
Descriptors: Neurosciences, Brain, Learning Motivation, Science Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
Grubisic, Ani; Stankov, Slavomir; Rosic, Marko; Zitko, Branko – Computers & Education, 2009
We believe that every effectiveness evaluation should be replicated at least in order to verify the original results and to indicate evaluated e-learning system's advantages or disadvantages. This paper presents the methodology for conducting controlled experiment replication, as well as, results of a controlled experiment and an internal…
Descriptors: Control Groups, Research Design, Computer Assisted Instruction, Artificial Intelligence
Previous Page | Next Page ยป
Pages: 1  |  2