Cited by 1Artificial Intelligence in EducationStudent Assessment and FeedbackEducational Assessment and Pedagogy

Sociological assessment practices for college students in the age of generative AI: A shift towards synthesis-based assignments

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Dguidegue, Yassine·2025·Learning Letters

Abstract

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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Research works printed but not linked: 23

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Authors
Dguidegue, Y.
Affiliations
Arizona State University (US)
Corresponding author
Dguidegue, Yassine
Venue
Learning Letters
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
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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