Sociological assessment practices for college students in the age of generative AI: A shift towards synthesis-based assignments
Open accessAbstract
With the prevalent use of generative AI tools, such as ChatGPT and Gemini for educational purposes by students, traditional assignments that are easily answerable by automated systems must be revisited. This paper advocates for a paradigm shift towards synthesis-oriented assignments that emphasise transferable skills such as critical thinking, systems thinking, collaboration, and project building. By adapting assessment methods to align with the demands of an AI-driven era, educational institutions can better prepare students for the complex challenges of the future and equip them to navigate evolving educational landscapes with rigor and innovation. The paper focuses on revisiting assessment methods within the social sciences, specifically sociology, for college-level students.
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Scholars are concerned about genAI's overall effects on academic performance as well as capacities for reading and thinking critically, exercising evaluative judgement, thinking creatively and independently, and collaborating.
“Scholars are concerned about genAI's overall effects on academic performance (Castro-Lopez et al., 2026) as well as capacities for reading and thinking critically (Dguidegue, 2025;Olsson, 2026;Rahman et al., 2025), exercising evaluative judgement (Bearman et al., 2024), thinking creatively and independently (Isiaku et al., 2024;Newell et al., 2024;Xia et al., 2024), and collaborating (Xia et al.,”
From Toward Partnership Ethics for Generative Artificial Intelligence in Higher Education (2026) · cites this paper as Dguidegue, 2025
The Introduction (page unavailable) says AI-written assignments can disrupt meaningful learning, and the ‘AI impact on sociology education’ section warns against uncritically adopting AI-generated answers. These passages support concern about critical thinking, but our copy does not identify an effect on students’ capacity for reading, which is also attributed to this source. (LLM, conf=0.82)
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ChatGPT in education: global reactions to AI innovations
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Sorted by citations
Toward Partnership Ethics for Generative Artificial Intelligence in Higher Education
Gillette, M., Wackenhut, A., & Olsson, E. (2026) · Journal of University Teaching and Learning Practice · doi:10.53761/yf2gt848
“Many genAI studies focus on assessment and altering assessment practices (Dguidegue, 2025; Overono & Ditta, 2025; Xia et al., 2024).”
- Authors
- Dguidegue, Y.
- Affiliations
- Arizona State University (US)
- Corresponding author
- Dguidegue, Yassine
- ORCID
- Dguidegue, Yassine
- Venue
- Learning Letters
- Publisher
- Adelaide University
- Published
- 2025-01-16
- Volume
- 4
- Pages
- 32
- ISSN
- 2981-877X (ISSN-L)
- OpenAlex
- W4406475026
- Cited by
- 0
- References
- 3
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- Learning Letters (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Social Sciences › Education › Student Assessment and Feedback
- Social Sciences › Education › Educational Assessment and Pedagogy
- Keywords
- generative AI in education, assessment design, sociology education, university students, transferable skills, critical thinking, systems thinking, collaboration, project-based learning, ChatGPT, AI-generated content
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