eprintid: 10206577
rev_number: 7
eprint_status: archive
userid: 699
dir: disk0/10/20/65/77
datestamp: 2025-03-27 08:07:34
lastmod: 2025-03-27 08:07:34
status_changed: 2025-03-27 08:07:34
type: article
metadata_visibility: show
sword_depositor: 699
creators_name: Xiao, J
creators_name: Bozkurt, A
creators_name: Nichols, M
creators_name: Pazurek, A
creators_name: Stracke, CM
creators_name: Bai, JYH
creators_name: Farrow, R
creators_name: Mulligan, D
creators_name: Nerantzi, C
creators_name: Sharma, RC
creators_name: Singh, L
creators_name: Frumin, I
creators_name: Swindell, A
creators_name: Honeychurch, S
creators_name: Bond, M
creators_name: Dron, J
creators_name: Moore, S
creators_name: Leng, J
creators_name: van Tryon, PJS
creators_name: Garcia, M
creators_name: Terentev, E
creators_name: Tlili, A
creators_name: Chiu, TKF
creators_name: Hodges, CB
creators_name: Jandrić, P
creators_name: Sidorkin, A
creators_name: Crompton, H
creators_name: Hrastinski, S
creators_name: Koutropoulos, A
creators_name: Cukurova, M
creators_name: Shea, P
creators_name: Watson, S
creators_name: Zhang, K
creators_name: Lee, K
creators_name: Costello, E
creators_name: Sharples, M
creators_name: Vorochkov, A
creators_name: Alexander, B
creators_name: Bali, M
creators_name: Moore, RL
creators_name: Zawacki-Richter, O
creators_name: Asino, TI
creators_name: Huijser, H
creators_name: Zheng, C
creators_name: Sani-Bozkurt, S
creators_name: Duart, JM
creators_name: Themeli, C
title: Venturing into the Unknown: Critical Insights into Grey Areas and Pioneering Future Directions in Educational Generative AI Research
ispublished: inpress
divisions: UCL
divisions: B16
divisions: B14
divisions: J77
divisions: J81
keywords: Artificial intelligence in education; Future research directions; 
Generative artificial intelligence (GenAI); 
Grey areas; 
Higher education
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
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.
date: 2025-02-19
date_type: published
publisher: Springer Nature
official_url: https://doi.org/10.1007/s11528-025-01060-6
full_text_type: other
language: eng
verified: verified_manual
elements_id: 2364834
doi: 10.1007/s11528-025-01060-6
lyricists_name: Cukurova, Mutlu
lyricists_name: Bond, Melissa
lyricists_id: MCUKU85
lyricists_id: MBOND63
actors_name: Cukurova, Mutlu
actors_id: MCUKU85
actors_role: owner
full_text_status: restricted
publication: TechTrends
pages: 16
issn: 8756-3894
citation:        Xiao, J;    Bozkurt, A;    Nichols, M;    Pazurek, A;    Stracke, CM;    Bai, JYH;    Farrow, R;                                                                                                                                                                 ... Themeli, C; + view all <#>        Xiao, J;  Bozkurt, A;  Nichols, M;  Pazurek, A;  Stracke, CM;  Bai, JYH;  Farrow, R;  Mulligan, D;  Nerantzi, C;  Sharma, RC;  Singh, L;  Frumin, I;  Swindell, A;  Honeychurch, S;  Bond, M;  Dron, J;  Moore, S;  Leng, J;  van Tryon, PJS;  Garcia, M;  Terentev, E;  Tlili, A;  Chiu, TKF;  Hodges, CB;  Jandrić, P;  Sidorkin, A;  Crompton, H;  Hrastinski, S;  Koutropoulos, A;  Cukurova, M;  Shea, P;  Watson, S;  Zhang, K;  Lee, K;  Costello, E;  Sharples, M;  Vorochkov, A;  Alexander, B;  Bali, M;  Moore, RL;  Zawacki-Richter, O;  Asino, TI;  Huijser, H;  Zheng, C;  Sani-Bozkurt, S;  Duart, JM;  Themeli, C;   - view fewer <#>    (2025)    Venturing into the Unknown: Critical Insights into Grey Areas and Pioneering Future Directions in Educational Generative AI Research.                   TechTrends        10.1007/s11528-025-01060-6 <https://doi.org/10.1007/s11528-025-01060-6>.    (In press).   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10206577/1/VenturingintotheUnknown_anonymous.pdf