Integrating generative AI into STEM education: enhancing conceptual understanding, addressing misconceptions, and assessing student acceptance DOI Creative Commons
Tarik El Fathi, Aouatif Saad, Hayat Larhzil

и другие.

Disciplinary and Interdisciplinary Science Education Research, Год журнала: 2025, Номер 7(1)

Опубликована: Март 31, 2025

Abstract Advancements in artificial intelligence (AI), particularly generative AI models such as ChatGPT, offer transformative opportunities to enhance educational practices STEM disciplines. Thermodynamics, a fundamental subject engineering education, presents significant challenges due its abstract nature and common misconceptions. This study investigates the effectiveness of integrating ChatGPT supplemental pedagogical tool, guided by constructivist inquiry-based approach using Constructivist Inquiry-Based Learning Prompting (CILP) framework, conceptual understanding address misconceptions an introductory thermodynamics course for first-year Moroccan students. A quasi-experimental design was used, with 120 students equally divided into control experimental groups. The group received traditional instruction, whereas ChatGPT-assisted instruction. Conceptual measured pre- post-tests, while student perceptions acceptance were collected via weekly surveys. Results showed that significantly outperformed group, exhibiting greater improvements reduction qualitative misconceptions, related entropy internal energy. However, some quantitative persisted, underscoring ChatGPT’s limitations advanced reasoning tasks, problem-solving, numerical calculations. Students reported high satisfaction usability instructional support. Moreover, targeted use rather than frequent reliance, correlated optimal learning outcomes. These findings underscore potential education within inquiry-based, environments provide evidence effective integration tools improve outcomes, resource-constrained settings.

Язык: Английский

The influence of ChatGPT on student engagement: A systematic review and future research agenda DOI Creative Commons
Chung Kwan Lo, Khe Foon Hew, Morris Siu‐Yung Jong

и другие.

Computers & Education, Год журнала: 2024, Номер 219, С. 105100 - 105100

Опубликована: Июнь 8, 2024

ChatGPT, a state-of-the-art artificial intelligence (AI) chatbot, has gained considerable attention as transformative yet controversial tool for enhancing teaching and learning experiences. Several reviews numerous articles have been written about harnessing ChatGPT in education since its release on November 30, 2022. Besides summarising strengths, weaknesses, opportunities, threats (SWOT) identified previous systematic of research, this review aims to develop new understanding influence student engagement by synthesising the existing related research using three-dimensional framework comprising behavioural, emotional, cognitive aspects. We searched relevant databases included 72 empirical studies published within one year ChatGPT's initial release. The findings reveal robust but narrowly focused evidence behavioural (i.e., work with ChatGPT) disengagement academic dishonesty). emotional aspect is mixed, instances both (e.g., satisfaction interest/fun) disappointment worry/anxiety). There broad weak regarding increased positive self-perception) reduced critical thinking overreliance). Our uncovers several under-explored indicators engagement, pointing need further research. Specifically, future could focus students' study habits attendance (behavioural engagement), social interaction (emotional self-regulation (cognitive engagement) ChatGPT-supported environments.

Язык: Английский

Процитировано

46

ChatGPT awareness, acceptance, and adoption in higher education: the role of trust as a cornerstone DOI Creative Commons
Muhammad Farrukh Shahzad, Shuo Xu, Iqra Javed

и другие.

International Journal of Educational Technology in Higher Education, Год журнала: 2024, Номер 21(1)

Опубликована: Июль 30, 2024

Abstract As technology continues to advance, the integration of generative artificial intelligence tools in various sectors, including education, has gained momentum. ChatGPT, an extensively recognized language model created by OpenAI, significant importance, particularly education. This study investigates awareness, acceptance, and adoption a state-of-the-art developed higher education institutions across China. applies partial least squares structural equation modeling (PLS-SEM) method for examining data collected from 320 Chinese university students. The study’s conceptual framework integrates key determinants Technology Acceptance Model (TAM) extends it incorporating perceived as critical factor process. findings reveal that ChatGPT awareness significantly influences intention adopt ChatGPT. Perceived ease use, usefulness, mediate association between Additionally, trust moderates relationship intelligence. Moving forward, order maintain students’ thinking skills inventiveness their assessment writing, assessments must promote safe use Therefore, educators will be crucial ensuring are used ethically suitably providing clear guidelines instructions.

Язык: Английский

Процитировано

24

Exploring the impact of generative AI-based technologies on learning performance through self-efficacy, fairness & ethics, creativity, and trust in higher education DOI
Muhammad Farrukh Shahzad, Shuo Xu, Hira Zahid

и другие.

Education and Information Technologies, Год журнала: 2024, Номер unknown

Опубликована: Авг. 24, 2024

Язык: Английский

Процитировано

17

Large Language Models in Education: Vision and Opportunities DOI
Wensheng Gan,

Zhenlian Qi,

Jiayang Wu

и другие.

2021 IEEE International Conference on Big Data (Big Data), Год журнала: 2023, Номер unknown

Опубликована: Дек. 15, 2023

With the rapid development of artificial intelligence technology, large language models (LLMs) have become a hot research topic. Education plays an important role in human social and progress. Traditional education faces challenges such as individual student differences, insufficient allocation teaching resources, assessment effectiveness. Therefore, applications LLMs field digital/smart broad prospects. The on educational (EduLLMs) is constantly evolving, providing new methods approaches to achieve personalized learning, intelligent tutoring, goals, thereby improving quality learning experience. This article aims investigate summarize application smart education. It first introduces background motivation explains essence LLMs. then discusses relationship between digital EduLLMs summarizes current status models. main contributions are systematic summary vision background, motivation, for (LLM4Edu). By reviewing existing research, this provides guidance insights educators, researchers, policy-makers gain deep understanding potential LLM4Edu. further advancing LLM4Edu, while still facing technical, ethical, practical requiring exploration.

Язык: Английский

Процитировано

39

Examining students’ intention to use ChatGPT: Does trust matter? DOI Creative Commons
Md. Shahinur Rahman, Md. Mahiuddin Sabbir, Jing Zhang

и другие.

Australasian Journal of Educational Technology, Год журнала: 2023, Номер unknown, С. 51 - 71

Опубликована: Дек. 18, 2023

Little knowledge is available on students’ attitudes and behavioural intentions towards using ChatGPT, a breakthrough innovation in recent times. This study bridges this gap by adding two relevant less-explored constructs (i.e., perceived enjoyment informativeness) to the technology acceptance model illustrating moderating effect of trust ChatGPT. Data was collected from 344 private public university students Bangladesh, with analysis done through structural equation modelling. The results highlight significance usefulness, ease use informativeness understanding ChatGPT for learning, which subsequently predicts their intention it. Interestingly, level triggered once issue came into play, meaning had no substantial impact attitude unless moderates relationship between Implications practice or policy Scholars can get first-hand insights usefulness context education. Practitioners educators comprehensively understand antecedents affecting line Policymakers design viable strategies promote ethical sustainable usage

Язык: Английский

Процитировано

38

Leveraging the Potential of Large Language Models in Education Through Playful and Game-Based Learning DOI Creative Commons
Stefan E. Huber, Kristian Kiili, Steve Nebel

и другие.

Educational Psychology Review, Год журнала: 2024, Номер 36(1)

Опубликована: Фев. 27, 2024

Abstract This perspective piece explores the transformative potential and associated challenges of large language models (LLMs) in education how those might be addressed utilizing playful game-based learning. While providing many opportunities, stochastic elements incorporated present LLMs process text, requires domain expertise for a critical evaluation responsible use generated output. Yet, due to their low opportunity cost, may pose some risk over-reliance, potentially unintendedly limiting development such expertise. Education is thus faced with challenge preserving reliable while not losing out on emergent opportunities. To address this challenge, we first propose approach focusing skill practice human judgment. Drawing from learning research, then go beyond account by reflecting well-designed games foster willingness practice, nurturing domain-specific We finally give new pedagogy AI utilize generating gamifying materials, leveraging full human-AI interaction education.

Язык: Английский

Процитировано

14

Risks of AI-Assisted Learning on Student Critical Thinking DOI Creative Commons
Eriona Çela, Mathias Fonkam, Rajasekhara Mouly Potluri

и другие.

International Journal of Risk and Contingency Management, Год журнала: 2024, Номер 12(1), С. 1 - 19

Опубликована: Авг. 5, 2024

Artificial Intelligence (AI) has increasingly become a transformative force in the education sector, offering unprecedented opportunities to enhance learning experiences and outcomes. This study examines potential adverse effects of AI-assisted on critical cognitive skills, particularly thinking problem-solving, within context Albania's educational landscape. Employing quantitative methodology, survey 53 students was conducted across various institutions Albania gather data their perceptions regarding learning. The findings indicate no significant difference skills between with prior exposure AI tools those without. However, there is statistically negative correlation reliance for assignments students' problem-solving suggesting that excessive dependence can hinder development independent abilities. Conversely, strong positive found frequency tool usage academic performance assignment efficiency, highlighting benefits enhancing these aspects experience. These results emphasize need balanced integration ensure they complement rather than replace traditional methods. study's have implications educators policymakers, while certain outcomes, it essential address its risks promote skills. Future research should focus larger, more diverse samples, incorporate objective measures explore long-term impacts

Язык: Английский

Процитировано

13

Generative AI chatbots in higher education: a review of an emerging research area DOI Creative Commons
Cormac McGrath, Alexandra Farazouli, Teresa Cerratto Pargman

и другие.

Higher Education, Год журнала: 2024, Номер unknown

Опубликована: Авг. 24, 2024

Abstract Artificial intelligence (AI) chatbots trained on large language models are an example of generative AI which brings promises and threats to the higher education sector. In this study, we examine emerging research area in (HE), focusing specifically empirical studies conducted since release ChatGPT. Our review includes 23 articles published between December 2022 2023 exploring use HE settings. We take a three-pronged approach data. first state field HE. Second, identify theories learning used Third, scrutinise discourses framing latest work chatbots. findings contribute better understanding eclectic nascent HE, lack common conceptual groundings about human learning, presence both dystopian utopian future role

Язык: Английский

Процитировано

9

Exploring Attitudes toward ChatGPT among College Students: An Empirical Analysis of Cognitive, Affective, and Behavioral Components Using Path Analysis DOI Creative Commons
Benicio Gonzalo Acosta Enríquez, Carmen Graciela Arbulú Pérez Várgas, Olger Huamaní Jordan

и другие.

Computers and Education Artificial Intelligence, Год журнала: 2024, Номер unknown, С. 100320 - 100320

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

9

AI in essay-based assessment: Student adoption, usage, and performance DOI Creative Commons
David Smerdon

Computers and Education Artificial Intelligence, Год журнала: 2024, Номер 7, С. 100288 - 100288

Опубликована: Авг. 24, 2024

Язык: Английский

Процитировано

8