Student self-reflection as a tool for managing GenAI use in large class assessment DOI Creative Commons
Celeste Combrinck, Nelé Loubser

Discover Education, Год журнала: 2025, Номер 4(1)

Опубликована: Март 26, 2025

Written assignments for large classes pose a far more significant challenge in the age of GenAI revolution. Suggestions such as oral exams and formative assessments are not always feasible with many students class. Therefore, we conducted study South Africa involved 280 Honors to explore usefulness Turnitin's AI detector conjunction student self-reflection. Using Mixed Methods Research (MMR) approach, analysed data generated from Turnitin reports, our grading rubrics, qualitative The findings show that incorporating self-reflection into supports ethical use improves transparency lecturers need decision-making. A declaration form allowed be upfront about using Generative Artificial Intelligence tools. We found who can reflect on their learning relied less content. However, high detected scores (> 20%) did adequately how tools supported could give credible explanations use. contribute body knowledge by providing academics examples responsibly handling AI-detected large-class settings. present guided an support help make decisions when grading. also decision tree graders evaluating assessments.

Язык: Английский

A comprehensive analysis of AI adoption, implementation strategies, and challenges in higher education across the Middle East and North Africa (MENA) region DOI
Abdulrahman M. Al-Zahrani, Talal Alasmari

Education and Information Technologies, Год журнала: 2025, Номер unknown

Опубликована: Янв. 2, 2025

Язык: Английский

Процитировано

1

A systematic literature review on the application of generative artificial intelligence (GAI) in teaching within higher education: Instructional contexts, process, and strategies DOI
Peijun Wang, Yuhui Jing, Shusheng Shen

и другие.

The Internet and Higher Education, Год журнала: 2025, Номер unknown, С. 100996 - 100996

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1

Reimagining Higher Education: Navigating the Challenges of Generative AI Adoption DOI Creative Commons
Laurie Hughes, Tegwen Malik,

Sandra Dettmer

и другие.

Information Systems Frontiers, Год журнала: 2025, Номер unknown

Опубликована: Фев. 13, 2025

Abstract The proliferation of generative artificial intelligence (GenAI) has disrupted academic institutions across the world, presenting transformative challenges for decision makers, and leading to questions around existing methods practices within higher education (HE). widespread adoption GenAI tools processes highlights an ongoing change perceptions role humans machines. Academics have expressed concerns relating to: integrity, undermining critical thinking, lowering standards threat models. This study presents a mixed approach developing valuable insight key underlying impacting HE. results highlight many makers in formation policy strategic direction. findings identify significant interdependencies between associated with We further discuss implications high levels driving power factors: (i) perceived risks from Large Language Model training learning; (ii) reliability outputs context impact on creativity making; (iii) poor platform regulation. posit this research as offering new perspective changing landscape HE through GenAI.

Язык: Английский

Процитировано

0

U.S. College Students’ Acceptability and Educational Benefits of ChatGPT from a Digital Divide Perspective (CAEAI-D-24-00352R2) DOI Creative Commons
Xinyi Zhang, Laurent H. Wang, Ronald E. Rice

и другие.

Computers and Education Artificial Intelligence, Год журнала: 2025, Номер unknown, С. 100385 - 100385

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Teaching English Through Computer-Assisted Translation DOI

Shen Ling Ling,

Mansour Amini

IGI Global eBooks, Год журнала: 2025, Номер unknown, С. 1 - 30

Опубликована: Март 14, 2025

Computer-assisted teaching is a newly emerging direction in the field of education, which aims to develop students' skills translating with aid computer technology. This chapter seeks address three main questions: (1) What are current advantages and limitations CAT technology translation education China? (2) How can these challenges be effectively mitigated? (3) future prospects bridging gap between industry? By reviewing CAT's state proposing solutions, this study contributes education's theoretical practical advancements. Highlighted include improved effectiveness efficiency. Challenges low learner confidence, insufficient teacher expertise, poor-quality practice platforms materials. Proposed solutions aim issues. The concludes that enhance quality, engage students, boost industry

Язык: Английский

Процитировано

0

Student self-reflection as a tool for managing GenAI use in large class assessment DOI Creative Commons
Celeste Combrinck, Nelé Loubser

Discover Education, Год журнала: 2025, Номер 4(1)

Опубликована: Март 26, 2025

Written assignments for large classes pose a far more significant challenge in the age of GenAI revolution. Suggestions such as oral exams and formative assessments are not always feasible with many students class. Therefore, we conducted study South Africa involved 280 Honors to explore usefulness Turnitin's AI detector conjunction student self-reflection. Using Mixed Methods Research (MMR) approach, analysed data generated from Turnitin reports, our grading rubrics, qualitative The findings show that incorporating self-reflection into supports ethical use improves transparency lecturers need decision-making. A declaration form allowed be upfront about using Generative Artificial Intelligence tools. We found who can reflect on their learning relied less content. However, high detected scores (> 20%) did adequately how tools supported could give credible explanations use. contribute body knowledge by providing academics examples responsibly handling AI-detected large-class settings. present guided an support help make decisions when grading. also decision tree graders evaluating assessments.

Язык: Английский

Процитировано

0