A systematic review of the first year of publications on ChatGPT and language education: Examining research on ChatGPT’s use in language learning and teaching DOI Creative Commons

Belle Li,

Victoria L. Lowell, Chaoran Wang

и другие.

Computers and Education Artificial Intelligence, Год журнала: 2024, Номер 7, С. 100266 - 100266

Опубликована: Июль 17, 2024

This systematic review aims to explore published research on the use of ChatGPT in language learning between November 2022 and 2023, outlining types papers, methodologies adopted, publishing journals, major trends, topics interest, existing gaps demanding attention. The PRISMA framework was utilized capture latest articles, selecting 36 articles that met inclusion criteria. Findings extracted from this include (1) authors worldwide contribute topic, with Asia North America leading; (2) wide distribution across various journals underscores interdisciplinary nature such as computer science, psychology, linguistics, education, other social sciences; (3) empirical dominates literature is published, majority focusing higher education ethical considerations. Other findings plays multifaceted roles, supporting self-directed learning, content generation, teacher workflows. Research need for diversified scopes, longitudinal studies, exploration stakeholders' perceptions, assessments feedback quality.

Язык: Английский

Mapping the global evidence around the use of ChatGPT in higher education: A systematic scoping review DOI
Aisha Naz Ansari, Sohail Ahmad, Sadia Muzaffar Bhutta

и другие.

Education and Information Technologies, Год журнала: 2023, Номер 29(9), С. 11281 - 11321

Опубликована: Окт. 20, 2023

Язык: Английский

Процитировано

62

Students’ use of large language models in engineering education: A case study on technology acceptance, perceptions, efficacy, and detection chances DOI Creative Commons
Margherita Bernabei, Silvia Colabianchi, Andrea Falegnami

и другие.

Computers and Education Artificial Intelligence, Год журнала: 2023, Номер 5, С. 100172 - 100172

Опубликована: Янв. 1, 2023

The accessibility of advanced Artificial Intelligence-based tools, like ChatGPT, has made Large Language Models (LLMs) readily available to students. These LLMs can generate original written content assist students in their academic assessments. With the rapid adoption LLMs, exemplified by popularity OpenAI's there is a growing need explore application education. Few studies examine students' use as learning tools. This paper focuses on ChatGPT engineering higher education through an in-depth case study. It investigates whether high-quality university essays with assistance, existing identification systems detect produced and how perceive usefulness acceptance learning. research adopts deductive/inductive approach, combining conceptualization empirical evidence analysis. study involves mechanical management students, who compose using LLMs. essay assessment showed good results, but some recommendations emerged for teachers Thirteen detectors were tested without achieving satisfactory suggesting avoid ban. In addition, administered questionnaire based constructs items that follow technology models literature. results contribute qualitative highlighting possible future educational practices.

Язык: Английский

Процитировано

52

The use of ChatGPT in teaching and learning: a systematic review through SWOT analysis approach DOI Creative Commons
Dương Thị Thủy,

C Da,

Nguyễn Văn Hạnh

и другие.

Frontiers in Education, Год журнала: 2024, Номер 9

Опубликована: Фев. 9, 2024

Introduction The integration of ChatGPT, an advanced AI-powered chatbot, into educational settings, has caused mixed reactions among educators. Therefore, we conducted a systematic review to explore the strengths and weaknesses using ChatGPT discuss opportunities threats in teaching learning. Methods Following PRISMA flowchart guidelines, 51 articles were selected 819 studies collected from Scopus, ERIC Google Scholar databases period 2022-2023. Results synthesis data extracted included revealed 32 topics including 13 strengths, 10 weaknesses, 5 4 We used Biggs’s Presage-Process-Product (3P) model learning categorize three components 3P model. Discussion In Presage stage, analyzed how interacts with student characteristics contexts ensure that technology adapts effectively diverse needs backgrounds. Process impacted activities determine its ability provide personalized, adaptive, effective instructional support. Finally, Product evaluated contributed outcomes. By carefully considering application each stage learning, educators can make informed decisions, leveraging addressing optimize processes.

Язык: Английский

Процитировано

45

Empowering ChatGPT with guidance mechanism in blended learning: effect of self-regulated learning, higher-order thinking skills, and knowledge construction DOI Creative Commons
Hsin‐Yu Lee, Pei-Hua Chen, Wei‐Sheng Wang

и другие.

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

Опубликована: Март 4, 2024

Abstract In the evolving landscape of higher education, challenges such as COVID-19 pandemic have underscored necessity for innovative teaching methodologies. These catalyzed integration technology into particularly in blended learning environments, to bolster self-regulated (SRL) and higher-order thinking skills (HOTS). However, increased autonomy can lead disruptions if issues are not promptly addressed. this context, OpenAI's ChatGPT, known its extensive knowledge base immediate feedback capability, emerges a significant educational resource. Nonetheless, there concerns that students might become excessively dependent on tools, potentially hindering their development HOTS. To address these concerns, study introduces Guidance-based ChatGPT-assisted Learning Aid (GCLA). This approach modifies use ChatGPT settings by encouraging attempt problem-solving independently before seeking assistance. When engaged, GCLA provides guidance through hints rather than direct answers, fostering an environment conducive SRL A randomized controlled trial (RCT) was employed examine impact compared traditional foundational chemistry course within setting. involved 61 undergraduate from university Taiwan. The findings reveal enhances SRL, HOTS, construction use. results directly align with research objective improve outcomes providing answers ChatGPT. conclusion, introduction has only facilitated more effective experiences environments but also ensured engage actively journey. implications highlight potential ChatGPT-based tools enhancing quality essential self-regulation Furthermore, offers insights regarding education.

Язык: Английский

Процитировано

37

Empowering education development through AIGC: A systematic literature review DOI
Xiaojiao Chen, Zhebing Hu, Chengliang Wang

и другие.

Education and Information Technologies, Год журнала: 2024, Номер 29(13), С. 17485 - 17537

Опубликована: Фев. 29, 2024

Язык: Английский

Процитировано

35

Using ChatGPT for Science Learning: A Study on Pre-service Teachers' Lesson Planning DOI
Gyeong-Geon Lee, Xiaoming Zhaı

IEEE Transactions on Learning Technologies, Год журнала: 2024, Номер 17, С. 1683 - 1700

Опубликована: Янв. 1, 2024

While ongoing efforts have continuously emphasized the integration of ChatGPT with science teaching and learning, there are limited empirical studies exploring its actual utility in classroom. This study aims to fill this gap by analyzing lesson plans developed 29 pre-service elementary teachers assessing how they integrated into learning activities. We first examined was subject domains, methods/strategies then evaluated using a GenAI-TPACK-based rubric. further teachers' perceptions concerns about integrating learning. Results show diverse number applications different domains—e.g., Biology (9/29), Chemistry (7/29), Earth Science (7/29). Fourteen types were identified plans. On average, scored high on modified TPACK-based rubric (M = 3.29; SD .91; 1-4 scale), indicating reasonable envisage particularly 'instructional strategies & ChatGPT' 3.48; .99). However, relatively lower exploiting ChatGPT's functions toward full potential 3.00; .93), compared other aspects. also several inappropriate use cases planning (e.g., as source hallucinated internet material technically unsupported visual guidance). Pre-service anticipated afford high-quality questioning, self-directed individualized support, formative assessment. Meanwhile, expressed accuracy risks that students may be overly dependent ChatGPT. They suggested solutions systemizing classroom dynamics between students. The underscores need for more research roles generative AI settings provides insights future AI-integrated

Язык: Английский

Процитировано

28

Critical analysis of the technological affordances, challenges and future directions of Generative AI in education: a systematic review DOI
Nan Wang, Xiao Wang, Yu-Sheng Su

и другие.

Asia Pacific Journal of Education, Год журнала: 2024, Номер 44(1), С. 139 - 155

Опубликована: Янв. 2, 2024

Generative artificial intelligence has been regarded as a transformative tool. While responsible and ethical applications could bring opportunities to education, their misuse pose demanding challenges. It is necessary clarify the technological affordances challenges in normative way lay foundation for future development. This study addressed dearth of literature by performing systematic review, aiming (i) explore utility availability from perspective; (ii) summarize current risks prevention; (iii) propose possible directions research practice. A total 27 academic articles published core journals between 2020 2023 were analyzed, inductive grounded approach was used categorize coding schemes. The findings revealed four affordances: accessibility, personalization, automation, interactivity; five challenges: integrity risk, response errors bias, over-dependence widening digital divide, privacy security. We directions, encourage educational organizations formulate guidelines use AI call on educators embrace trends education instead shunning its use, guide students treat it thought aid reference, rather than relying entirely.

Язык: Английский

Процитировано

26

A systematic literature review of empirical research on ChatGPT in education DOI Creative Commons
Yazid Albadarin, Mohammed Saqr,

Nicolas Pope

и другие.

Discover Education, Год журнала: 2024, Номер 3(1)

Опубликована: Май 26, 2024

Abstract Over the last four decades, studies have investigated incorporation of Artificial Intelligence (AI) into education. A recent prominent AI-powered technology that has impacted education sector is ChatGPT. This article provides a systematic review 14 empirical incorporating ChatGPT various educational settings, published in 2022 and before 10th April 2023—the date conducting search process. It carefully followed essential steps outlined Preferred Reporting Items for Systematic Reviews Meta-Analyses (PRISMA 2020) guidelines, as well Okoli’s (Okoli Commun Assoc Inf Syst, 2015) rigorous transparent review. In this review, we aimed to explore how students teachers utilized primary findings those studies. By employing Creswell’s (Creswell Educational research: planning, conducting, evaluating quantitative qualitative research [Ebook], Pearson Education, London, coding techniques data extraction interpretation, sought gain insight their initial attempts at approach also enabled us extract insights considerations can facilitate its effective responsible use future contexts. The results show learners virtual intelligent assistant, where it offered instant feedback, on-demand answers, explanations complex topics. Additionally, used enhance writing language skills by generating ideas, composing essays, summarizing, translating, paraphrasing texts, or checking grammar. Moreover, turned an aiding tool directed personalized learning assisting understanding concepts homework, providing structured plans, clarifying assignments tasks. However, specific (n = 3, 21.4%) overuse may negatively impact innovative capacities collaborative competencies among learners. Educators, on other hand, create lesson generate quizzes, provide additional resources, which helped them productivity efficiency promote different teaching methodologies. Despite these benefits, majority reviewed recommend importance training, support, clear guidelines both educators mitigate drawbacks. includes developing critical evaluation assess accuracy relevance information provided ChatGPT, strategies integrating human interaction collaboration activities involve AI tools. Furthermore, they ongoing proactive dialogue with policymakers, stakeholders, practitioners refine environments. could serve insightful resource who seek integrate stimulate further field.

Язык: Английский

Процитировано

24

Supporting Teachers’ Professional Development With Generative AI: The Effects on Higher Order Thinking and Self-Efficacy DOI
Jijian Lu, Ruxin Zheng, Zikun Gong

и другие.

IEEE Transactions on Learning Technologies, Год журнала: 2024, Номер 17, С. 1279 - 1289

Опубликована: Янв. 1, 2024

Generative AI has emerged as a noteworthy milestone and consequential advancement in the annals of major disciplines within domains human science technology. This study aims to explore effects generative AI-assisted pre-service teaching skills training on teachers' self-efficacy higher order thinking. The participants this were 215 mathematics, science, computer teachers from university China. Firstly, pretest-posttest quasi-experimental design was implemented for an experimental group (teaching by AI) control traditional methods) investigating teacher thinking two groups before after experiment. Secondly, semi-structured interview comprising open-ended questions administered 25 present their views teaching. results showed that scores group, who used professional development, considerably than those both (F = 8.589, p 0.0084< 0.05) 7.217, 0.008 < 0.05). It revealed can be effective supporting development. produced practical development method with AI.

Язык: Английский

Процитировано

23

A Study on ChatGPT-4 as an Innovative Approach to Enhancing English as a Foreign Language Writing Learning DOI
Azzeddine Boudouaia, Samia Mouas, Bochra Kouider

и другие.

Journal of Educational Computing Research, Год журнала: 2024, Номер 62(6), С. 1509 - 1537

Опубликована: Апрель 17, 2024

The field of computer-assisted language learning has recently brought about a notable change in English as Foreign Language (EFL) writing. Starting from October 2022, students across different academic fields have increasingly depended on ChatGPT-4 helpful resource for addressing particular challenges EFL This study aimed to investigate the use and acceptance students’ To this end, an experiment was conducted with 76 undergraduate private school Algeria. participants were randomly allocated into two groups: experimental group (n = 37) control 39). Additionally, questionnaire administered. results showed that (EG) outperformed (CG). Besides, findings revealed EG post-test their pre-test scores. also substantial improvements EG’s views perceived usefulness, ease use, attitudes, behavioral intention. According results, helped boost students' writing skills, which ultimately led acceptance. Students appear particularly interested because its potential usefulness putting what they learn practice. Some suggestions recommendations provided.

Язык: Английский

Процитировано

20