Venturing into the Unknown: Critical Insights into Grey Areas and Pioneering Future Directions in Educational Generative AI Research
| Title: | Venturing into the Unknown: Critical Insights into Grey Areas and Pioneering Future Directions in Educational Generative AI Research |
|---|---|
| Language: | English |
| Authors: | Junhong Xiao (ORCID 0000-0002-5316-2957); Aras Bozkurt; Mark Nichols; Angelica Pazurek; Christian M. Stracke; John Y. H. Bai; Robert Farrow; Dónal Mulligan; Chrissi Nerantzi; Ramesh Chander Sharma; Lenandlar Singh; Isak Frumin; Andrew Swindell; Sarah Honeychurch; Melissa Bond; Jon Dron; Stephanie Moore; Jing Leng; Patricia J. Slagter van Tryon; Manuel Garcia; Evgeniy Terentev; Ahmed Tlili; Thomas K. F. Chiu; Charles B. Hodges; Petar Jandric; Alexander Sidorkin; Helen Crompton; Stefan Hrastinski; Apostolos Koutropoulos; Mutlu Cukurova; Peter Shea; Steven Watson; Kai Zhang; Kyungmee Lee; Eamon Costello; Mike Sharples; Anton Vorochkov; Bryan Alexander; Maha Bali; Robert L. Moore; Olaf Zawacki-Richter; Tutaleni Iita Asino; Henk Huijser; Chanjin Zheng; Sunagül Sani-Bozkurt; Josep M. Duart; Chryssa Themeli |
| Source: | TechTrends: Linking Research and Practice to Improve Learning. 2025 69(3):582-597. |
| Availability: | Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/ |
| Peer Reviewed: | Y |
| Page Count: | 16 |
| Publication Date: | 2025 |
| Document Type: | Journal Articles; Reports - Research |
| Descriptors: | Artificial Intelligence; Technology Uses in Education; Educational Trends; Trend Analysis; Educational Benefits; Teacher Attitudes; Ambiguity (Context); Decision Making; Ethics; Input Output Analysis; Computer Peripherals; Man Machine Systems; Partnerships in Education; Legal Problems; Ownership; Financial Support; Figurative Language |
| DOI: | 10.1007/s11528-025-01060-6 |
| ISSN: | 8756-3894; 1559-7075 |
| Abstract: | Advocates of AI in Education (AIEd) assert that the current generation of technologies, collectively dubbed artificial intelligence, including generative artificial intelligence (GenAI), promise results that can transform our conceptions of what education looks like. Therefore, it is imperative to investigate how educators perceive GenAI and its potential use and future impact on education. Adopting the methodology of collective writing as an inquiry, this study reports on the participating educators' perceived grey areas (i.e. issues that are unclear and/or controversial) and recommendations on future research. The grey areas reported cover decision-making on the use of GenAI, AI ethics, appropriate levels of use of GenAI in education, impact on learning and teaching, policy, data, GenAI outputs, humans in the loop and public-private partnerships. Recommended directions for future research include learning and teaching, ethical and legal implications, ownership/authorship, funding, technology, research support, AI metaphor and types of research. Each theme or subtheme is presented in the form of a statement, followed by a justification. These findings serve as a call to action to encourage a continuing debate around GenAI and to engage more educators in research. The paper concludes that unless we can ask the right questions now, we may find that, in the pursuit of greater efficiency, we have lost the very essence of what it means to educate and learn. |
| Abstractor: | As Provided |
| Entry Date: | 2025 |
| Accession Number: | EJ1473198 |
| Database: | ERIC |