Bauer, Elisabeth ; Greisel, Martin ; Kuznetsov, Ilia ; Berndt, Markus ; Kollar, Ingo ; Dresel, Markus ; Fischer, Martin R. ; Fischer, Frank (2023)
Using natural language processing to support peer-feedback in the age of artificial intelligence: A cross-disciplinary framework and a research agenda.
In: British Journal of Educational Technology, 54 (5)
doi: 10.1111/bjet.13336
Artikel, Bibliographie
Dies ist die neueste Version dieses Eintrags.
Kurzbeschreibung (Abstract)
Advancements in artificial intelligence are rapidly increasing. The new-generation large language models, such as ChatGPT and GPT-4, bear the potential to transform educational approaches, such as peer-feedback. To investigate peer-feedback at the intersection of natural language processing (NLP) and educational research, this paper suggests a cross-disciplinary framework that aims to facilitate the development of NLP-based adaptive measures for supporting peer-feedback processes in digital learning environments. To conceptualize this process, we introduce a peer-feedback process model, which describes learners' activities and textual products. Further, we introduce a terminological and procedural scheme that facilitates systematically deriving measures to foster the peer-feedback process and how NLP may enhance the adaptivity of such learning support. Building on prior research on education and NLP, we apply this scheme to all learner activities of the peer-feedback process model to exemplify a range of NLP-based adaptive support measures. We also discuss the current challenges and suggest directions for future cross-disciplinary research on the effectiveness and other dimensions of NLP-based adaptive support for peer-feedback. Building on our suggested framework, future research and collaborations at the intersection of education and NLP can innovate peer-feedback in digital learning environments.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2023 |
| Autor(en): | Bauer, Elisabeth ; Greisel, Martin ; Kuznetsov, Ilia ; Berndt, Markus ; Kollar, Ingo ; Dresel, Markus ; Fischer, Martin R. ; Fischer, Frank |
| Art des Eintrags: | Bibliographie |
| Titel: | Using natural language processing to support peer-feedback in the age of artificial intelligence: A cross-disciplinary framework and a research agenda |
| Sprache: | Englisch |
| Publikationsjahr: | September 2023 |
| Verlag: | John Wiley & Sons |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | British Journal of Educational Technology |
| Jahrgang/Volume einer Zeitschrift: | 54 |
| (Heft-)Nummer: | 5 |
| DOI: | 10.1111/bjet.13336 |
| Zugehörige Links: | |
| Kurzbeschreibung (Abstract): | Advancements in artificial intelligence are rapidly increasing. The new-generation large language models, such as ChatGPT and GPT-4, bear the potential to transform educational approaches, such as peer-feedback. To investigate peer-feedback at the intersection of natural language processing (NLP) and educational research, this paper suggests a cross-disciplinary framework that aims to facilitate the development of NLP-based adaptive measures for supporting peer-feedback processes in digital learning environments. To conceptualize this process, we introduce a peer-feedback process model, which describes learners' activities and textual products. Further, we introduce a terminological and procedural scheme that facilitates systematically deriving measures to foster the peer-feedback process and how NLP may enhance the adaptivity of such learning support. Building on prior research on education and NLP, we apply this scheme to all learner activities of the peer-feedback process model to exemplify a range of NLP-based adaptive support measures. We also discuss the current challenges and suggest directions for future cross-disciplinary research on the effectiveness and other dimensions of NLP-based adaptive support for peer-feedback. Building on our suggested framework, future research and collaborations at the intersection of education and NLP can innovate peer-feedback in digital learning environments. |
| Freie Schlagworte: | UKP_p_FAMULUS |
| Zusätzliche Informationen: | Erstveröffentlichung |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung |
| Hinterlegungsdatum: | 05 Mär 2024 15:49 |
| Letzte Änderung: | 07 Mär 2024 14:47 |
| PPN: | 516076523 |
| Export: | |
| Suche nach Titel in: | TUfind oder in Google |
Verfügbare Versionen dieses Eintrags
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Using natural language processing to support peer‐feedback in the age of artificial intelligence: A cross‐disciplinary framework and a research agenda. (deposited 09 Feb 2024 13:54)
- Using natural language processing to support peer-feedback in the age of artificial intelligence: A cross-disciplinary framework and a research agenda. (deposited 05 Mär 2024 15:49) [Gegenwärtig angezeigt]
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