PreprintCited by 11Artificial Intelligence in EducationArtificial Intelligence in Healthcare and EducationArtificial Intelligence Applications

The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.

Generative AI and Higher Education Assessments: A Competency-Based Analysis

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Abstract

The development and introduction of AI language models have transformed the way humans and institutions interact with technology, enabling natural and intuitive communication between humans and machines. This paper conducts a competence-based analysis of an emerging AI language model’s task response to provide insight into its language proficiency, critical analysis and reasoning ability, and structure and relevance of the response. A multidisciplinary approach is adopted, drawing from fields such as Accounting, Education, Management, Social Work and Law, to evaluate the responses generated by the AI to higher education assignments. This paper offers insights into the strengths and limitations of language-based AI responses and identifies implications for the design and implementation of higher education assessments.

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Crossref · 10.21203/rs.3.rs-2968456/v1

Cites

34 of 34 references verified0 citation errors · 0 not checkable

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  • The emergence of GenAI in higher education has raised concerns about academic integrity, authenticity of student work, and potential reduction in students' development of essential cognitive and creative skills.

    “The disruptive nature of GenAI as a technology and its emergence in higher education has raised a range of concerns around academic integrity, the authenticity of student work, and the potential reduction in students’ development of essential cognitive and creative skills [3, 4].”

    From Generative AI in Higher Education: Balancing Innovation and Integrity (2025) · cites this paper as [4]

    The Implications section identifies ChatGPT as a potential threat to academic integrity and discusses cheating and disclosure of AI contributions to assignments, supporting concerns about the authenticity of student work. The theoretical framework says AI can relieve students of thinking and applying concepts, but the paper does not specifically link GenAI use to reduced development of students’ creative skills; its discussion of creativity concerns the quality of ChatGPT’s writing. (LLM, conf=0.83)

    Experimental — accuracy not yet measured

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Research works printed but not linked: 3

  1. http://dx.doi.org/10.1002/bmb.20573 · DOI
  2. Samarakou, M., Fylladitakis, E., Prentakis, P., & Athineos, S. (2014). Implementation of artificial intelligence assessment in engineering laboratory education. International Conference e-Learning. https://fles.eric.ed.gov/fulltext/ED557 263.pdf.
  3. Utterberg, M., Tallvid, M., Lundin, J., & Lindström, B. (2021). Intelligent tutoring systems: Why teachers abandoned a technology aimed at automating teaching processes. http://hdl.handle.net/10125/70798

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Metadata

Authors
Tenakwah, E. S., Boadu, G., Tenakwah, E. J., Parzakonis, M., Brady, M., Kansiime, P., Said, S., Ayilu, R., Radavoi, C., & Berman, A.
Affiliations
Charles Darwin University (AU)
Corresponding author
Boadu, Gideon
Venue
Research Square
Published
2023-05-25
OpenAlex
W4378211874
Cited by
11
References
34
Citations by year
2026: 2 · 2025: 3 · 2024: 5 · 2023: 1
Type
posted content
Language
en
Open access
Locations
Research Square (acceptedVersion, cc-by)
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 › Artificial Intelligence Applications
Keywords
generative AI, AI language models, higher education assessment, critical reasoning, language proficiency, assessment design, academic writing, multidisciplinary assessment

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