Cited by 566Artificial Intelligence in EducationArtificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

The DOI matches its Crossref record; 122 of the 122 references it cites were found in a registry or an index; none of the 108 sources its claims cite is checked for support yet.

The role of ChatGPT in higher education: Benefits, challenges, and future research directions

Open access

Abstract

This paper examines the potential benefits and challenges of using the generative AI model, ChatGPT, in higher education, in the backdrop of the constructivist theory of learning. This perspective-type study presents five benefits of ChatGPT: the potential to facilitate adaptive learning, provide personalised feedback, support research and data analysis, offer automated administrative services, and aid in developing innovative assessments. Additionally, the paper identifies five challenges: academic integrity concerns, reliability issues, inability to evaluate and reinforce graduate skill sets, limitations in assessing learning outcomes, and potential biases and falsified information in information processing. The paper argues that tertiary educators and students must exercise caution when using ChatGPT for academic purposes to ensure its ethical, reliable, and effective use. To achieve this, the paper proposes various propositions, such as prioritising education on the responsible and ethical use of ChatGPT, devising new assessment strategies, addressing bias and falsified information, and including AI literacy as part of graduate skills. By balancing the potential benefits and challenges, ChatGPT can enhance students’ learning experiences in higher education.

Overview

Integrity signals

Registry

Crossref · 10.37074/jalt.2023.6.1.29

Cites

122 of 122 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

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Show all 47 claims

  • Probably not a substantial claim. 24
  • It may state two separate claims as one. 34
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  • The paper relies on this without support.

    LLMs like ChatGPT are ubiquitous in higher education.

    “The ubiquity of LLMs like ChatGPT has prompted a reevaluation of assessment design, with a focus on fostering creativity, critical thinking, authenticity, practicality, and collaboration (Nieminen et al., 2022;Villarroel et al., 2018), aligning with the constructivist theory's emphasis on authentic and formative assessment (Wiggins, 1990;Black & Wiliam, 2009).”
  • The paper relies on this without support.

    Constructivist learning theory is the appropriate framework for evaluating ChatGPT's role in higher education.

    “The paper presented five challenges and five benefits of ChatGPT for the higher education sector in the backdrop of the constructivism learning theory (Figure 1).”
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  • Fosnot citation year differs from the reference list

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    The text cites Fosnot as a 1996 work, while the Fosnot entry in the reference list is dated 2013.

  • Taber citation year differs from the reference list

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    The text cites Taber as a 2011 work, but the reference list dates the Taber entry to 2012.

  • White citation year differs from the reference list

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    The text cites White et al. as a 2014 work, while the corresponding reference entry gives 2016.

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Citations

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Show all 122 references

Research works printed but not linked: 13

  1. Adar, N., & Kandemir M. C (2008, May 8). M-learning tools for palm device: M-test and m-exercise [Paper presentation]. 8th International Educational Technology Conference, Anadolu University, Eskisehir.
  2. Bada, S. O., & Olusegun, S. (2015). Constructivism learning theory: A paradigm for teaching and learning. Journal of Research & Method in Education, 5(6), 66-70.
  3. Bruner, J. S. (1961). The act of discovery. Harvard Educational Review, 31, 21-32.
  4. Dijkstra, R., Genç, Z., Kayal, S., & Kamps, J. (2022, July 27-31). Reading comprehension quiz generation using generative pre-trained transformers [Paper presentation]. The 23th International Conference on Artificial Intelligence in Education (AIED' 2022).
  5. Jansen, S. C., & Martin, B. (2015). The Streisand effect and censorship backfire. International Journal of Communication, 9, 656-671.
  6. June, S., Yaacob, A., & Kheng, Y. K. (2014). Assessing the use of YouTube videos and interactive activities as a critical thinking stimulator for tertiary students: An action research. International Education Studies, 7(8), 56-67. https://doi. org/10.5539/ies. · DOI
  7. Kılıç, E., Karadeniz, Ş., & Karataş, S. (2003). İnternet destekli yapici ogrenme ortamlari. Gazi University Journal of Gazi Educational Faculty, 23(2), 149-160.
  8. Makewa, L. N. (2019). Constructivist theory in technology- based learning. In L. N. Makewa, B. M. Ngussa, & J. M. Kuboja (Eds.), Technology-supported teaching and research methods for educators (pp. 268-287). IGI Global.
  9. Piaget, J. (1980). The psychogenesis of knowledge and its epistemological significance. In M. Piatelli-Palmarini (Ed.), Language and learning: The debate between Jean Piaget and Noam Chomsky (pp. 1-23). Harvard University Press.
  10. Qiu, J. (2019). A preliminary study of English mobile learning model based on constructivism. Theory and Practice in Language Studies, 9(9), 1167-1172. http://dx.doi. org/10.17507/tpls.0909. · DOI
  11. In J. Hassaskhah (Ed.), Educational theory (pp. 39-61). Nova.
  12. Vygotsky, L. S. (1962). Thought and language. MIT Press.
  13. Yang, T. C., Hwang, G. J., & Yang, S. J. H. (2013). Development of an adaptive learning system with multiple perspectives based on students' learning styles and cognitive styles. Journal of Educational Technology & Society, 16(4), 185-200.

Cited by

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Items 101–200 of 566

Metadata

Authors
Rasul, T., Nair, S., Kalendra, D. R., Robin, M., Santini, F. D. O., Ladeira, W. J., Sun, M., Day, I., Rather, R. A., & Heathcote, L.
Affiliations
  • Australian Institute of Business (AU)
  • Universidade do Vale do Rio dos Sinos (BR)
Venue
Journal of Applied Learning & Teaching
Published
2023-05-11
Volume
6
Issue
1
ISSN
2591-801X (ISSN-L)
OpenAlex
W4376139682
Cited by
561
References
122
Citations by year
2026: 69 · 2025: 235 · 2024: 209 · 2023: 47
FWCI
131.92
Type
journal article
Language
en
Open access
Locations
Journal of Applied Learning & Teaching (publishedVersion)
Topics
  • Social Sciences › Education › Artificial Intelligence in Education
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
Keywords
ChatGPT, generative AI in education, higher education, constructivist learning theory, adaptive learning, personalized feedback, academic integrity, AI evaluation, AI literacy, algorithmic bias, ethical use of AI, graduate competencies

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