Publication Date
| In 2025 | 1 |
| Since 2024 | 4 |
| Since 2021 (last 5 years) | 6 |
| Since 2016 (last 10 years) | 7 |
| Since 2006 (last 20 years) | 7 |
Descriptor
Source
| TechTrends: Linking Research… | 7 |
Author
| Abramenka-Lachheb, Victoria | 1 |
| Anya S. Evmenova | 1 |
| Crowe, Dale | 1 |
| Diane Burke | 1 |
| Gyeonggeon Lee | 1 |
| Helen Crompton | 1 |
| Hwang, Scott N. | 1 |
| Kebritchi, Mansureh | 1 |
| Kelley Regan | 1 |
| LaPierre, Martin | 1 |
| Lachheb, Ahmed | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 7 |
| Reports - Research | 7 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkHelen Crompton; Diane Burke – TechTrends: Linking Research and Practice to Improve Learning, 2024
ChatGPT was released to the public in November 30, 2022. This study examines how ChatGPT can be used by educators and students to promote learning and what are the challenges and limitations. This study is unique in providing one of the first systematic reviews using peer review studies to provide an early examination of the field. Using PRISMA…
Descriptors: Artificial Intelligence, Barriers, Technology Uses in Education, Natural Language Processing
Leung, Javier; Abramenka-Lachheb, Victoria; Sankaranarayanan, Rajagopal; Lachheb, Ahmed; Seo, Grace – TechTrends: Linking Research and Practice to Improve Learning, 2023
The purpose of this follow-up study was to investigate further the expressed needs of Instructional Designers (IDers) from a large public Facebook group. Our previous original research (Abramenka-Lachheb et al., 2021a) reported that IDers expressed needs during the pandemic in several categories, including: (1) educational technology, (2)…
Descriptors: COVID-19, Pandemics, Instructional Design, Natural Language Processing
Anya S. Evmenova; Kelley Regan; Reagan Mergen; Roba Hrisseh – TechTrends: Linking Research and Practice to Improve Learning, 2024
Generative AI has the potential to support teachers with writing instruction and feedback. The purpose of this study was to explore and compare feedback and data-based instructional suggestions from teachers and those generated by different AI tools. Essays from students with and without disabilities who struggled with writing and needed a…
Descriptors: Writing Instruction, Feedback (Response), Writing Difficulties, Artificial Intelligence
Gyeonggeon Lee; Xiaoming Zhai – TechTrends: Linking Research and Practice to Improve Learning, 2025
Educators and researchers have analyzed various image data acquired from teaching and learning, such as images of learning materials, classroom dynamics, students' drawings, etc. However, this approach is labour-intensive and time-consuming, limiting its scalability and efficiency. The recent development in the Visual Question Answering (VQA)…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Learning Processes
Youngjin Lee – TechTrends: Linking Research and Practice to Improve Learning, 2024
This study investigates community sentiments and opinions regarding the use of ChatGPT in education within online user forums. Large Language Model (LLM)-based sentiment analysis was conducted on the posts and comments submitted to Teachers Subreddit, an online community for educators. The analysis revealed that the members of Teachers Subreddit…
Descriptors: Community Attitudes, Artificial Intelligence, Discourse Analysis, Computer Mediated Communication
Safadel, Parviz; Hwang, Scott N.; Perrin, Joy M. – TechTrends: Linking Research and Practice to Improve Learning, 2023
This paper presents a novel implementation of a three-dimensional Virtual Librarian Chatbot using IBM Watson artificial intelligence technology and virtual reality. In this method, participants interact with virtual librarian chatbots by asking specific questions about the library system. This research investigated the factors used in the…
Descriptors: Librarians, Electronic Learning, Computer Simulation, Computer Mediated Communication
Crowe, Dale; LaPierre, Martin; Kebritchi, Mansureh – TechTrends: Linking Research and Practice to Improve Learning, 2017
With augmented intelligence/knowledge based system (KBS) it is now possible to develop distance learning applications to support both curriculum and administrative tasks. Instructional designers and information technology (IT) professionals are now moving from the programmable systems era that started in the 1950s to the cognitive computing era.…
Descriptors: Artificial Intelligence, Information Technology, Distance Education, Instructional Design
