Cited by 493Artificial Intelligence in EducationStudent Assessment and FeedbackArtificial Intelligence in Healthcare and Education

A Scoping Review on How Generative Artificial Intelligence Transforms Assessment in Higher Education

Open access
Xia, Qi, Weng, Xiaojing, Ouyang, Fan, Lin, Tzung Jin, Chiu, Thomas K.F.·2024·International Journal of Educational Technology in Higher Education

Abstract

Generative artificial intelligence provides both opportunities and challenges for higher education. Existing literature has not properly investigated how this technology would impact assessment in higher education. This scoping review took a forward-thinking approach to investigate how generative artificial intelligence transforms assessment in higher education. We used the PRISMA extension for scoping reviews to select articles for review and report the results. In the screening, we retrieved 969 articles and selected 32 empirical studies for analysis. Most of the articles were published in 2023. We used three levels—students, teachers, and institutions—to analyze the articles. Our results suggested that assessment should be transformed to cultivate students’ self-regulated learning skills, responsible learning, and integrity. To successfully transform assessment in higher education, the review suggested that (i) teacher professional development activities for assessment, AI, and digital literacy should be provided, (ii) teachers’ beliefs about human and AI assessment should be strengthened, and (iii) teachers should be innovative and holistic in their teaching to reflect the assessment transformation. Educational institutions are recommended to review and rethink their assessment policies, as well as provide more inter-disciplinary programs and teaching.

AI snapshot

Written from the paper’s full text.

TL;DR

This scoping review synthesized 32 empirical studies, mostly published in 2023, on how generative AI transforms assessment in higher education across student, teacher, and institutional levels. It reports that GenAI offers feedback and self-assessment opportunities but poses major academic-integrity challenges, requiring transformed assessment, teacher development, and institutional policy change.

Key findings

  • Among 27 reviewed articles on student assessment, GenAI added three opportunities—perceived unbiased feedback (11%), immediate and diverse feedback (13%), and self-assessment (22%)—and one challenge, student academic integrity (54%).
  • Among 31 reviewed articles on teachers, impacts included teacher assessment literacy (about one-third), more diverse and innovative assessment (29%), assessment-driven teaching, concerns about poor student development of essential skills (17 of 31), teacher beliefs about assessment, and balancing GenAI and human assessment (26%).
  • Among 26 reviewed articles on institutions, GenAI disrupted traditional assessment and prompted redesigning assessment policies, new literacy and professional development for teachers, shifting educational focus and learning objectives, more interdisciplinary assessment (6% of reviewed articles), and disruption of traditional assessment methods.
  • The review recommends cultivating students’ self-regulated learning, responsible learning, and integrity; providing teacher professional development in assessment, AI, and digital literacy; and having institutions rethink assessment policies and offer more interdisciplinary programs and teaching.

Methods

  • PRISMA-ScR scoping review; searched ERIC, Web of Science, and Scopus with Boolean terms for assessment, higher education, and generative AI/ChatGPT; limited to peer-reviewed English journal articles from the last 5 years; initial search completed September 30, 2023.
  • Retrieved 969 articles; removed 58 duplicates; screened titles/abstracts; read 231 full texts; excluded non-higher-education contexts (n = 28), non-assessment-related activities (n = 62), and theoretical, conceptual, and review studies (n = 22); retained 32 empirical studies.
  • Coded and analyzed articles at three levels—students, teachers, and institutions—using a jointly developed coding form and inductive analysis; reviewed articles represented 18 regions and 11 disciplines, with education, medicine, and computer science as the top three disciplines.

Limitations

  • Stated in the paper: as a scoping review, the study cannot provide specific recommendations; systematic reviews and meta-analyses are advised once a larger body of related research is available.
  • Stated in the paper: some reviewed studies discussed GenAI in a general context without detailing specific technologies, so findings about GenAI’s roles may not be sufficiently detailed.
  • Evident from the text: the search was completed on September 30, 2023, and most reviewed articles were published in 2023, so the review captures early post-ChatGPT literature and may not reflect later developments.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1186/s41239-024-00468-z

Cites

53 of 53 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Claims the paper makes

0 of 85 cited sources checked · 0 supported · 0 flagged

  • Findingcitation
    § Method

    Fifty-four percent of the reviewed articles highlighted that the emergence of GenAI presented a significant challenge to student academic integrity.

    “Fifty-four percent of the reviewed articles highlighted that the emergence of GenAI presented a significant challenge to student academic integrity (Adeshola & Adepoju, 2023; Alexander et al., 2023; Chaudhry et al., 2023; Chan, 2023; Dai et al., 2023; Elsayed, 2023; Geerling et al., 2023; Kang, 2023; Nikolic et al., 2023; Ouh et al., 2023; Overono & Ditta, 2023; Perkins, 2023; Smolansky et al., 2”
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    § Method

    ChatGPT performs well in exams in disciplines such as engineering, economics, medicine, and geography.

    “Related research shows that ChatGPT performs well in exams in disciplines such as engineering (Uhlig et al., 2023), economics (Geerling et al., 2023), medicine (Currie et al., 2023), and geography (Stutz et al., 2023), indicating that the issue of academic integrity in higher education is facing unprecedented challenges.”
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    § Method

    Twenty-seven of the reviewed articles indicated that GenAI offered learning opportunities and challenges to student assessment.

    “Twenty-seven of the reviewed articles indicated that GenAI offered learning opportunities and challenges to student assessment.”
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    § Method

    Thirteen percent of the twenty-seven articles revealed that students could get immediate feedback or preliminary grades and comments from GenAI anytime and anywhere.

    “Thirteen percent of the twenty-seven articles revealed that students could get immediate and feedback or preliminary grades and comments from GenAI anytime and anywhere.”
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    • Rests on an assumption: Teachers are unable to give feedback to the way GenAI does.
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    § Method

    Twenty-two percent of the twenty-seven reviewed articles demonstrated that GenAI can aid student learning through self-assessment.

    “Twenty-two percent of the twenty-seven reviewed articles demonstrated that GenAI can aid student learning through self-assessment.”
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    Findingown data
    § Method

    GenAI added three opportunities-perceived unbiased feedback, immediate and diverse feedback, and self-assessment-and a challenge-student academic integrity-to student assessments.

    “Overall, GenAI added three opportunities—perceived unbiased feedback, immediate and diverse feedback, and self-assessment—and a challenge—student academic integrity—to student assessments in the following four aspects (see Fig. 3).”
    Quote in the paperSubstantial claim
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    Findingnone given
    § Method

    ChatGPT performs differently on different tests, possibly because it generates output based on different data sources.

    “It was because ChatGPT performs differently on different tests, possibly because it generates output based on different data sources.”
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    Findingcitation
    § Method

    ChatGPT might use different evaluation criteria from the courses or teachers' own, and its lack of specific knowledge about the class and the students could lead to inappropriate feedback.

    “For example, Guo and Wang (2023) suggested that ChatGPT might use different evaluation criteria from the courses or teachers’ own, and its lack of specific knowledge about the class and the students could lead to inappropriate feedback.”
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      “In addition, some teachers noticed that ChatGPT might use different evaluation criteria from their own, and its lack of specific knowledge about the class and students could lead to inappropriate feedback (Morjaria et al., 2023).”
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    Findingcitation
    § Method

    ChatGPT can help generate ideas and rubrics, as well as learning questions, for students' self-assessment.

    “ChatGPT, for example, can help generate ideas and rubrics (Rajabi et al., 2023), as well as learning questions (Cheung et al., 2023; Cross et al., 2023; Kang, 2023; Naidu & Sevnarayan, 2023) for students’ self-assessment.”
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    Findingreasoning
    § Abstract

    Most of the reviewed articles were published in 2023.

    “Most of the articles were published in 2023.”
    • Also stated in: § Method · plain
      “Most of the articles were published in 2023.”
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    Findingown data
    § Method

    The use of GenAI presented significant challenges to academic integrity and raised concerns about ethical behavior (e.g., cheating) in academic settings.

    “They revealed that the use of GenAI presented significant challenges to academic integrity and raised concerns about ethical behavior (e.g., cheating) in academic settings.”
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    Findingnone given
    § Method

    While ChatGPT offers significant potential in educational settings, its limitations, impact on academic integrity, and the need for adapted assessment methods and policies are key areas of concern and focus for educators, students, and institutions.

    “While ChatGPT offers significant potential in educational settings, its limitations, impact on academic integrity, and the need for adapted assessment methods and policies are key areas of concern and focus for educators, students, and institutions.”
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    Findingown data
    § Method

    The reviewed articles represent 18 different regions and 11 disciplines, with education, medicine, and computer science being the top three disciplines.

    “In total, they represent 18 different regions and 11 disciplines, with education, medicine, and computer science being the top three disciplines.”
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    Findingcitation
    § Method

    The learning tasks benefited student learning but did not involve critical thinking.

    “The articles highlighted that the learning tasks benefited student learning but did not involve critical thinking (Currie et al., 2023; Rajabi et al., 2023).”
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    Findingcitation
    § Method

    Submissions generated by ChatGPT scored impressively, and its performance typically qualifies for a First-Class grade, the highest academic distinction awarded in UK universities.

    “For example, it was found that submissions generated by ChatGPT scored impressively, and its performance typically qualifies for a First-Class grade, the highest academic distinction awarded in UK universities (Yeadon et al., 2023).”
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    Findingown data
    § Abstract

    The screening retrieved 969 articles and selected 32 empirical studies for analysis.

    “In the screening, we retrieved 969 articles and selected 32 empirical studies for analysis.”
    • Also stated in: § Method · plain
      “Ultimately, 32 articles were retained for this scoping review; see Table 1.”
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    Findingcitation
    § Method

    Short-form essays have become an obsolete assessment tool.

    “For example, short-form essays have become an obsolete assessment tool (Yeadon et al., 2023).”
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    Findingcitation
    § Method

    Some teachers already trusted the information that was generated from ChatGPT and used it as a "one-stop shop" for knowledge sourcing.

    “Some teachers already trusted the information that was generated from ChatGPT and used it as a “one-stop shop” for knowledge sourcing (Cross et al., 2023).”
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    Findingcitation
    § Method

    Teachers generally agreed that ChatGPT should be integrated into teacher teaching and student learning.

    “Teachers generally agreed that ChatGPT should be integrated into teacher teaching and student learning (Cross et al., 2023).”
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    Findingcitation
    § Method

    Teachers felt that ChatGPT's feedback, often lengthy and complex, included irrelevant comments.

    “For example, teachers felt that ChatGPT’s feedback, often lengthy and complex, included irrelevant comments.”
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    Findingnone given
    § Method

    GenAI technologies could facilitate teacher assessment processes and pose challenges to the diversity and innovation of assessment methods.

    “Its technologies could facilitate teacher assessment processes and pose challenges to the diversity and innovation of assessment methods.”
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    Findingcitation
    § Method

    About one-third of the 31 reviewed articles recognize that GenAI will be changing assessment methods, with a need for educators to prepare for these changes.

    “About one-third of the 31 reviewed articles recognize that GenAI will be changing assessment methods, with a need for educators to prepare for these changes (Alexander et al., 2023; Guo & Wang, 2023; Naidu & Sevnarayan, 2023; Ouh et al., 2023; Yeadon et al., 2023).”
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    Findingcitation
    § Method

    Nikolic et al. (2023) suggested an alternative assessment method: video-conferencing for evaluating student assignments through questioning and answering.

    “For instance, Nikolic et al. (2023) suggested an alternative assessment method: video-conferencing for evaluating student assignments through questioning and answering.”
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    Findingcitation
    § Method

    Smolansky et al. (2023) found that assignment types rated to be least impacted are presentations and discussions that were either pre-recorded or live; assessments that require product design or creative/artistic work were rated as moderately affected by ChatGPT.

    “For example, Smolansky et al. (2023) found that the assignment types rated to be least impacted are presentations and discussions that were either pre-recorded or live; assessments that require product design or creative/artistic work were also rated as moderately affected by ChatGPT.”
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    Findingcitation
    § Method

    Student overreliance on ChatGPT might impede the development of essential skills like teamwork, leadership, empathy, creativity, critical analysis, and independent thinking-competencies crucial for future job markets.

    “This might impede the development of essential skills like teamwork, leadership, empathy, creativity, critical analysis, and independent thinking—competencies crucial for future job markets (Chan, 2023; Rajabi et al., 2023; Stutz et al., 2023).”
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    Findingcitation
    § Method

    GenAI can be used to advance writing such as proofreading, critique, and editing, create personalized assessments, and simulate conversations.

    “For example, GenAI can be used to advance writing such as proofreading, critique, and editing (Currie et al., 2023), create personalized assessments, and simulate conversations (Cheung et al., 2023; Currie et al., 2023).”
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    Findingcitation
    § Method

    Chan (2023) conducted a mixed-method study aimed at developing an AI Ecological Education Policy Framework for higher education in Hong Kong.

    “For example, Chan (2023) conducted a mixed-method study aimed at developing an AI Ecological Education Policy Framework for higher education in Hong Kong.”
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    Findingcitation
    § Method

    Researchers emphasize the importance of training in new literacy in light of GenAI advancements.

    “Researchers emphasize the importance of training in new literacy in light of GenAI advancements (Alexander et al., 2023; Guo & Wang, 2023).”
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    Findingcitation
    § Method

    The study found that ChatGPT did indeed pass some courses and performed well in certain types of assessments.

    “The study found that ChatGPT did indeed pass some courses and performed well in certain types of assessments.”
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    Findingnone given
    § Method

    GenAI enables students to learn disciplinary knowledge or do tasks that they are familiar with, which fosters interdisciplinary learning such as project- and problem-based.

    “GenAI enables students to learn a disciplinary knowledge or do some tasks (e.g., drawing, creating videos) that they are familiar, which fosters interdisciplinary learning such as project- and problem- based.”
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    Findingcitation
    § Method

    The use of AI tools may not necessarily be considered plagiarism if students are transparent in how they have been used in any submission.

    “For example, the use of these tools may not necessarily be considered plagiarism if students are transparent in how they have been used in any submission (Perkins, 2023).”
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    Findingcitation
    § Method

    The AI Ecological Education Policy Framework comprises Pedagogical, Governance, and Operational dimensions, addressing training and support for teachers, staff, and students in AI literacy.

    “This framework comprises Pedagogical, Governance, and Operational dimensions, addressing training and support for teachers, staff, and students in AI literacy.”
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    Findingown data
    § Method

    Twenty-six reviewed articles indicated that GenAI greatly disrupted traditional assessment approaches and methods, which significantly impacted the formulation of institutional policies.

    “Twenty-six reviewed articles indicated that GenAI greatly disrupted traditional assessment approaches and methods, which significantly impacted the formulation of institutional policies.”
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    Findingcitation
    § Method

    Nikolic and colleagues (2023) investigated how ChatGPT influences the assessment of engineering education, with subjects including ten courses from seven universities in Australia.

    “For example, Nikolic and colleagues (2023) investigated how ChatGPT influences the assessment of engineering education, the subjects included ten courses from seven universities in Australia.”
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    Findingown data
    § Method

    Interdisciplinary learning and assessment were advocated in 6% of the reviewed articles; however, most classroom teaching is still single-disciplinary-based.

    “Interdisciplinary learning and assessment were advocated in the 6% of the reviewed articles; however, most classroom teaching is still single-disciplinary-based.”
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    Findingcitation
    § Method

    The reviewed articles suggested that more diverse and innovative assessment is needed.

    “The reviewed articles suggested that more diverse and innovative assessment is needed, which poses new challenges in professional development for teacher literacy, such as assessment, AI and digital literacy (Chan, 2023; Chiu et al., 2024).”
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    § Method

    The reviewed articles suggested that the adoption of GenAI led to more interdisciplinary assessment.

    “The reviewed articles suggested that the adoption of GenAI led to shifting educational focus, rethinking learning objectives, more interdisciplinary assessment, and disrupting traditional assessment methods.”
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    Findingnone given
    § Method

    The reviewed articles suggested that the adoption of GenAI led to shifting educational focus.

    “The reviewed articles suggested that the adoption of GenAI led to shifting educational focus, rethinking learning objectives, more interdisciplinary assessment, and disrupting traditional assessment methods.”
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    Findingnone given
    § Method

    Some of the studies reviewed discussed the application of GenAI in a general context without detailing specific technologies.

    “Secondly, some of the studies reviewed discussed the application of GenAI in a general context without detailing specific technologies.”
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    Findingreasoning
    § Method

    Various assessment methods, such as face-to-face tests, oral exams, and non-written tasks, can be employed to mitigate the impact of GenAI in academic assessments.

    “As discussed, various assessment methods, such as face-to-face tests, oral exams, and non-written tasks, can be employed to mitigate the impact of GenAI in academic assessments.”
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    Findingcitation
    § Method

    The reviewed articles suggested that assessment in GenAI-based learning should cater to holistic (both generic skills and disciplinary knowledge) and innovative teaching.

    “The reviewed articles suggested that assessment in GenAI-based learning should cater to holistic (both generic skills and disciplinary knowledge) and innovative teaching (Heeneman et al., 2015; Popham, 2009).”
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    Findingreasoning
    § Method

    The reviewed articles suggested that the adoption of GenAI led to disrupting traditional assessment methods.

    “The reviewed articles suggested that the adoption of GenAI led to shifting educational focus, rethinking learning objectives, more interdisciplinary assessment, and disrupting traditional assessment methods.”
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    Study design and conductnone given
    § Method

    The two coders coded the articles and charted the data continuously in an iterative discussion process using an inductive analysis approach.

    “The two coders coded the articles and charted the data continuously in an iterative discussion process using an inductive analysis approach.”
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    Premisenone given
    § Introduction

    Research on GenAI application in higher education assessment methods is still limited, and opinions vary widely as the majority were conducted in 2023.

    “However, research on its application in higher education assessment methods is still limited, and opinions vary widely as the majority were conducted in 2023.”
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    Premisecitation
    § Introduction

    How GenAI transforms and influences higher education is still unclear.

    “How GenAI transforms and influences higher education is still unclear (Al-Zahrani, 2023).”
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    Premisecitation
    § Introduction

    Recent research suggests ChatGPT can aid college students in completing tasks such as essay and proposal writing and take-home examinations, raising concerns about increased risks of cheating and undermining academic integrity.

    “Recent research suggests that tools like ChatGPT can aid college students in completing tasks such as essay and proposal writing and take-home examinations, raising concerns about increased risks of cheating and undermining academic integrity (Chiu et al, 2023; Moorhouse et al., 2023).”
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    § Introduction

    GenAI could assist students in getting disciplinary subject content by producing content-based assignments and providing answers to questions based on the discipline.

    “Second, GenAI could assist students in getting disciplinary subject content by producing content-based assignments and providing answers to questions based on the discipline (Chan, 2023; Chaudhry et al., 2023).”
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    Premisecitation
    § Introduction

    Assessment related to programs and course objectives has a direct impact on learning and teaching for students and teachers.

    “Assessment that is related to the programs and course objectives has a direct impact on learning and teaching for students and teachers (Heeneman et al., 2015; Popham, 2009).”
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    Study design and conductcitation
    § Abstract

    The review used the PRISMA extension for scoping reviews to select articles and report results.

    “We used the PRISMA extension for scoping reviews to select articles for review and report the results.”
    • Also stated in: § Method · plain
      “We conducted this scoping review in accordance with the PRISMA Extension for Scoping Reviews (PRISMA-ScR) reporting guidelines and checklist (Tricco et al. 2018).”
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    Interpretationreasoning
    § Introduction

    The traditional assessment method is becoming increasingly inadequate for accurately assessing students' actual learning outcomes.

    “The traditional assessment method is becoming increasingly inadequate for accurately assessing students’ actual learning outcomes.”
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    Premisecitation
    § Method

    Scoping reviews are an ideal tool for determining the scope or coverage of a body of literature and giving a clear indication of the volume of the literature while providing a broader overview of its focus.

    “Scoping reviews are an ideal tool for determining the scope or coverage of a body of literature on a given topic and giving a clear indication of the volume of the literature while providing a broader overview of its focus (Munn et al., 2018).”
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    Interpretationreasoning
    § Method

    Although ChatGPT seemed to be powerful, it could not replace teacher feedback.

    “These limitations indicated that although ChatGPT seemed to be powerful, it could not replace teacher feedback.”
    Quote in the paperSubstantial claim
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    Interpretationcitation
    § Method

    Assessment will move from human-centered or machine-centered to mixed methods, transforming the traditional mode of assessment.

    “This will move assessment from human-centered or machine-centered to mixed methods, transforming the traditional mode of assessment (Naidu & Sevnarayan, 2023).”
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    • cites Naidu & Sevnarayan, 2023

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation
    § Method

    Assessment acts as a driving force in teaching and learning.

    “Assessment acts as a driving force in teaching and learning (Heeneman et al., 2015; Popham, 2009).”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites Heeneman et al., 2015

      Not checked in the free run.

    • cites Popham, 2009

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).

    Interpretationreasoning
    § Method

    This holistic student development ensures that the workforce is well-equipped for the collaborative and interdisciplinary nature of modern challenges.

    “This holistic student development ensures that the workforce is well-equipped for the collaborative and interdisciplinary nature of modern challenges.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Premisecitation
    § Method

    Existing performance-based assessment systems adopted by higher education institutions to ensure students are learning and developing necessary skills for future job markets seem likely to be unserviceable with the arrival of ChatGPT.

    “The existing performance-based assessment systems adopted by higher education institutions to ensure that students are learning and developing the necessary skills for future job markets seem likely to be unserviceable with the arrival of ChatGPT (Chaudhry et al., 2023).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Chaudhry et al., 2023

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation
    § Method

    Personality traits such as grit and perseverance help students adapt and persist in the face of unforeseen challenges.

    “These attributes help students adapt and persist in the face of unforeseen challenges (Chiu, 2023; Dai et al., 2023).”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites Chiu, 2023

      Not checked in the free run.

    • cites Dai et al., 2023

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation
    § Method

    ChatGPT does not pose any threat to knowledge-based assessments conducted directly face-to-face on university campuses.

    “ChatGPT does not pose any threat to knowledge-based assessments conducted directly face-to-face on university campuses (Ali et al., 2024)”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Ali et al., 2024

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S2 (checkable).

    Study design and conductreasoning
    § Method

    The findings related to the roles of GenAI in this review may not be sufficiently detailed.

    “Consequently, the findings related to the roles of GenAI in this review may not be sufficiently detailed.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation
    § Method

    GenAI requires a significant evolution of traditional assessment methods, as its content-generating capabilities may diminish the effectiveness of standard exams and assignments.

    “Gorichanaz (2023) suggests that GenAI requires a significant evolution of traditional assessment methods, as its content-generating capabilities may diminish the effectiveness of standard exams and assignments (Chiu et al., 2023).”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites Gorichanaz, 2023

      Not checked in the free run.

    • cites Chiu et al., 2023

      Not checked in the free run.

  • Classified as probably not a substantial claim.

    Study design and conductnone given
    § Method

    As a scoping review, the study cannot provide specific recommendations.

    “Firstly, as a scoping review, the study cannot provide specific recommendations.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Interpretationnone given
    § Method

    The results of this review are preliminary but provide a different understanding of GenAI's role in modernizing and potentially revolutionizing the assessment landscape in higher education.

    “Although the results of this review are preliminary, they provide a different understanding of GenAI’s role in modernizing and potentially revolutionizing the assessment landscape in higher education.”
    Quote in the paperSubstantial claim
57 of 57
  • The paper relies on this without support.

    Existing literature has not properly investigated how GenAI would impact assessment in higher education.

    “Existing literature has not properly investigated how this technology would impact assessment in higher education.”
  • The paper relies on this without support.

    GenAI will have been utilized in the workplace.

    “GenAI will have been utilized in the workplace.”
  • The paper relies on this without support.

    Most classroom teaching is still single-disciplinary-based.

    “however, most classroom teaching is still single-disciplinary-based.”
  • The paper relies on this without support.

    Higher education aims to prepare students to join the job market.

    “Higher education aims to prepare students to join the job market; therefore, the assessment should target the competence of the future workforce.”
  • The paper relies on this without support.

    Teachers are unable to give feedback to the way GenAI does.

    “Teachers are unable to give feedback to the way GenAI does.”
  • The paper relies on this without support.

    The need for humans skilled in working with GenAI is growing.

    “Moreover, the need for humans skilled in working with GenAI is growing.”
  • The paper relies on this without support.

    AI is perceived as a machine.

    “AI is perceived as a machine; therefore, students feel that it is impartial.”
  • The paper relies on this without support.

    Teachers’ assessment follows the institution’s policies.

    “Overall, the teachers’ assessment follows the institution’s policies; therefore, institutions should clearly suggest how to assess student skills that are needed for future workforces and also run relevant professional development activities.”
  • The paper relies on this without support.

    Assessment drives teaching (how to assess is associated with how to teach).

    “Assessment drives teaching, i.e., how to assess is associated with how to teach.”
  • The paper relies on this without support.

    Contemporary assessments prioritize student higher-order thinking.

    “Contemporary assessments prioritize student higher-order thinking.”
  • The paper relies on this without support.

    Interdisciplinary assessments encourage a broader understanding, integrate knowledge from various fields, and foster critical thinking and problem-solving skills.

    “Interdisciplinary assessments encourage a broader understanding, integrate knowledge from various fields, and foster critical thinking and problem-solving skills that are vital in today’s diverse and dynamic environments.”
  • The paper relies on this without support.

    AI literacy equips both students and teachers with an understanding of AI technologies, their capabilities, and their limitations.

    “AI literacy equips both students and teachers with an understanding of AI technologies, their capabilities, and their limitations.”
  • The paper relies on this without support.

    GenAI is here to stay and its usage for learning becomes more popular.

    “As GenAI is here to stay and its usage for learning becomes more popular, higher education institutions need to rethink their assessment policies.”
  • The paper relies on this without support.

    A standardized assessment policy would ensure consistency and fairness across different fields of study while effectively addressing the challenges posed by advanced GenAI technologies in educational assessments.

    “This standardized policy would ensure consistency and fairness across different fields of study while effectively addressing the challenges posed by advanced GenAI technologies in educational assessments.”
  • The paper relies on this without support.

    Engaging students in the policy-making process ensures that their diverse needs and learning experiences are addressed, leading to more student-centered educational assessment systems.

    “Engaging students in the policy-making process ensures that their diverse needs and learning experiences are addressed, leading to more student-centered educational assessment systems.”
  • The paper relies on this without support.

    Input from industry experts can bridge the gap between academic training and workforce requirements, making education more relevant and practical.

    “Similarly, input from industry experts can bridge the gap between academic training and workforce requirements, making education more relevant and practical.”
  • The paper relies on this without support.

    Teachers cannot be replaced by GenAI in many aspects.

    “While ChatGPT is powerful, teachers should have a strong belief that they cannot be replaced by GenAI in many aspects.”
  • The paper relies on this without support.

    Human judgment and critical thinking remain irreplaceable.

    “Despite the advancements of AI, teachers should believe that human judgment and critical thinking remain irreplaceable, emphasizing the teachers’ role in guiding students, especially amidst abundant AI-generated content.”
  • The paper relies on this without support.

    Proficiency in AI and digital tools is crucial for contemporary education and society.

    “Teachers also need to acknowledge the importance of AI and digital literacy for themselves and their students, understanding that proficiency in AI and digital tools is crucial for contemporary education and society.”
19 of 19

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Many participants described a tendency for users to assume that genAI produced unbiased or objective responses.

    “Many described a tendency for users to assume that genAI produced unbiased or”

    From Toward Partnership Ethics for Generative Artificial Intelligence in Higher Education (2026) · cites this paper as Xia et al., 2024

    In “Perceived unbiased feedback” (Method), the review reports that students perceived GenAI feedback as less biased than teachers’ feedback and felt it was impartial. This supports the perception attributed to users, but the source describes findings across reviewed articles, not what “many participants” described; it also concerns feedback rather than GenAI responses generally. (LLM, conf=0.84)

    Experimental — accuracy not yet measured
  • Immediate product improvement is often examined without simultaneously investigating feedback uptake, self-regulated learning, and later performance without AI support, making it difficult to determine whether observed gains reflect durable learning, stronger revision processes, or temporary performance support.

    “immediate product improvement is often examined without simultaneously investigating feedback uptake, self-regulated learning, and later performance without AI support, making it difficult to determine whether observed gains reflect durable learning, stronger revision processes, or temporary performance support”

    From Human-centered GenAI feedback design in higher education: a multisite experiment on direct, reflective, and hybrid approaches to scientific argumentation (2026) · cites this paper as Xia et al., 2024

    Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

    Experimental — accuracy not yet measured
  • The study adds nuance to recent syntheses of GenAI in higher education by suggesting that apparent benefits are highly design-sensitive and that concerns about authorship, evidence of learning, and learner responsibility are not only matters of policy or integrity, but also matters of feedback design.

    “More broadly, the study adds nuance to recent syntheses of GenAI in higher education by suggesting that apparent benefits are highly design-sensitive and that concerns about authorship, evidence of learning, and learner responsibility are not only matters of policy or integrity, but also matters of feedback design(Wang & Fan, 2025;Xia et al., 2024).”

    From Human-centered GenAI feedback design in higher education: a multisite experiment on direct, reflective, and hybrid approaches to scientific argumentation (2026) · cites this paper as Xia et al., 2024

    Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

    Experimental — accuracy not yet measured
  • For higher education digital learning, the central implication is not whether students can access GenAI feedback, but how GenAI feedback is pedagogically organized so that human evaluative work remains at the center.

    “For higher education digital learning, the central implication is therefore not whether students can access GenAI feedback, but how GenAI feedback is pedagogically organized so that human evaluative work remains at the center (Buckingham Shum et al., 2023; Xia et al., 2024).”

Cites

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Authors
Xia, Q., Weng, X., Ouyang, F., Lin, T. J., & Chiu, T. K. F.
Affiliations
  • Zhejiang University (CN)
  • Education University of Hong Kong (HK)
  • National Taiwan Normal University (TW)
  • Chinese University of Hong Kong (HK)
Corresponding author
Chiu, Thomas K.F.
Venue
International Journal of Educational Technology in Higher Education
Published
2024-05-24
Volume
21
Issue
1
ISSN
2365-9440 (ISSN-L)
OpenAlex
W4398243313
Cited by
493
References
53
Citations by year
2026: 312 · 2025: 158 · 2024: 23
FWCI
185.37
Type
journal article
Language
en
Open access
Locations
  • International Journal of Educational Technology in Higher Education (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
University Grants Committee (14610522)
Topics
  • Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
  • Social Sciences › Education › Student Assessment and Feedback
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
Keywords
generative AI, assessment, higher education, student self-regulation, academic integrity, responsible learning, teacher professional development, digital literacy, teacher beliefs, assessment policy, AI-assisted assessment

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-09.

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