Automated Grading of Students’ Short Answers Using Language Models DOI
Chulpan Minnegalieva,

I. I. Kashapov,

Olga N. Morozova

и другие.

Automatic Documentation and Mathematical Linguistics, Год журнала: 2024, Номер 58(S3), С. S109 - S114

Опубликована: Дек. 1, 2024

Язык: Английский

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

44

ChatGPT adoption and anxiety: a cross-country analysis utilising the unified theory of acceptance and use of technology (UTAUT) DOI Creative Commons
Tribikram Budhathoki, Araz Zirar, Eric Tchouamou Njoya

и другие.

Studies in Higher Education, Год журнала: 2024, Номер 49(5), С. 831 - 846

Опубликована: Март 27, 2024

The public release of ChatGPT in November 2022 brought excitement and concerns regarding students' use language models higher education. However, little research has empirically investigated intention to adopt ChatGPT. This study developed a theoretical model based on the Unified Theory Acceptance Use Technology (UTAUT) with an additional construct- anxiety, investigate university adoption two education contexts– UK Nepal. 239 226 questionnaires were deemed sufficient for data analysis Nepal UK, respectively. We utilised structural equation modelling technique test hypotheses. Our results reveal that performance expectancy, effort expectancy social influence significantly impacted both countries. anxiety's impact varied between UK. Integrating UTAUT cross-country comparative approach provides insights into how ChatGPT's reception diverges different contexts. also have implications technology companies aiming expand models' availability worldwide.

Язык: Английский

Процитировано

35

Generative AI in education and research: A systematic mapping review DOI
Abdullahi Yusuf, Nasrin Pervin, Marcos Román González

и другие.

Review of Education, Год журнала: 2024, Номер 12(2)

Опубликована: Авг. 1, 2024

Abstract Given the potential applications of generative AI (GenAI) in education and its rising interest research, this systematic review mapped thematic landscape 407 publications indexed Web Science, ScienceDirect Scopus. Using EPPI Reviewer, publication type, educational level, disciplines, research areas GenAI were extracted. Eight discursive themes identified, predominantly focused on ‘application, impact potential’, ‘ethical implication risks’, ‘perspectives experiences’, ‘institutional individual adoption’, ‘performance intelligence’. was conceptualised as a tool for ‘pedagogical enhancement’, ‘specialised training practices’, ‘writing assistance productivity’, ‘professional skills development’, an ‘interdisciplinary learning tool’. Key gaps highlighted include paucity discussions K‐12 education; limited exploration GenAI's using experimental procedures; ethical concerns from lens cultural dimensions. Promising opportunities future are highlighted.

Язык: Английский

Процитировано

15

Students' reflections on their experience with ChatGPT DOI Creative Commons
Josef Šedlbauer, Jan Činčera, M Slavík

и другие.

Journal of Computer Assisted Learning, Год журнала: 2024, Номер 40(4), С. 1526 - 1534

Опубликована: Март 11, 2024

Abstract Background The emergence of Generative Artificial Intelligence has brought a number ethical and practical issues to higher education. Solid experimental evidence is yet inadequate set the functional rules for new technology. Objectives objective this study analyse experience undergraduate students’ interaction with ChatGPT contribute identifying problems arising from widespread use artificial intelligence. Methods Junior university students ( N = 25) were assigned task working on their seminar essays aid ChatGPT. Most novices tool (the was conducted in spring 2023). Their analysed qualitatively, according principles general inductive approach. Results Conclusions initial attitudes towards intelligence almost equally distributed enthusiastic indifferent cautious, one student refusing interact chatbot ideological grounds. After first experience, most declared themselves adopters We have found some enhancing critical thinking competence when using ChatGPT, as well examples unquestioned reliance its outputs. tendency personification apparent students' essays. Implications findings show how easily embrace suggest failure any attempts strict regulation. This, other hand, underlines need emphasis personal research‐oriented approaches teaching learning.

Язык: Английский

Процитировано

12

Artificial intelligence (AI), conversational agents, and generative AI: implications for adult education practice and research DOI Open Access
Marcella Milana, Ulrik Brandi, Steven Hodge

и другие.

International Journal of Lifelong Education, Год журнала: 2024, Номер 43(1), С. 1 - 7

Опубликована: Янв. 2, 2024

Язык: Английский

Процитировано

8

Assessing the quality of automatic-generated short answers using GPT-4 DOI Creative Commons
Luiz Rodrigues, Filipe Dwan Pereira, Luciano Temporal Borges Cabral

и другие.

Computers and Education Artificial Intelligence, Год журнала: 2024, Номер 7, С. 100248 - 100248

Опубликована: Июнь 29, 2024

Open-ended assessments play a pivotal role in enabling instructors to evaluate student knowledge acquisition and provide constructive feedback. Integrating large language models (LLMs) such as GPT-4 educational settings presents transformative opportunity for assessment methodologies. However, existing literature on LLMs addressing open-ended questions lacks breadth, relying limited data or overlooking question difficulty levels. This study evaluates GPT-4's proficiency responding spanning diverse topics cognitive complexities comparison human responses. To facilitate this assessment, we generated dataset of 738 across Biology, Earth Sciences, Physics systematically categorized it based Bloom's Taxonomy. Each included eight human-generated responses two from GPT-4. The outcomes indicate superior performance over humans, encompassing both native non-native speakers, irrespective gender. Nevertheless, advantage was not sustained 'remembering' 'creating' aligned with These results highlight potential underpinning advanced question-answering systems, its promising supporting capacity augment teacher assistance assessments. limitations nuanced argumentation creativity underscore areas necessitating refinement these models, guiding future research toward bolstering pedagogical support.

Язык: Английский

Процитировано

8

A qualitative analysis of Chinese higher education students’ intentions and influencing factors in using ChatGPT: a grounded theory approach DOI Creative Commons
Zhaoyang Liu, Wenlan Zhang

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Авг. 5, 2024

The emergence of ChatGPT has significantly impacted the field education. While much existing research predominantly examined theoretical implications ChatGPT, there is a notable absence empirical studies substantiating these claims. As pivotal stakeholders in education and primary users exploring willingness influencing factors higher students to use can offer valuable insights into real-world needs student users. This, turn, serve as foundation for empowering with intelligent technologies future. This study focuses specifically on demographic Chinese who have utilized ChatGPT. Using semi-structured interviews grounded theory methodology, we aim comprehensively understand extent which embrace new technologies. Our objective elucidate behavioral inclinations findings this will contribute practical refining policy frameworks, expanding dissemination quality resources, optimizing upgrading products an enhanced user experience, fostering higher-order thinking skills adeptly navigate evolving technological landscapes. In conclusion, endeavors bridge gap between discussions applications.

Язык: Английский

Процитировано

6

AI as a Teacher DOI
Robertas Damaševičius, Tatjana Sidekerskienė

Advances in educational technologies and instructional design book series, Год журнала: 2024, Номер unknown, С. 1 - 24

Опубликована: Апрель 22, 2024

This chapter discusses the impact and integration of artificial intelligence (AI) in education, with a focus on AI chatbots like ChatGPT. The study synthesizes findings from scholarly articles, offering holistic view how is transforming educational methodologies, classroom dynamics, roles educators. Key areas investigation include transformation dynamics through AI-enabled smart classrooms, innovative AI-driven teaching methods, specific applications implications ChatGPT generative education. also focuses teacher-AI collaboration, discussing potential benefits ethical considerations that arise technologies learning processes. Furthermore, it examines AI's role assessment analytics, highlighting both capabilities limitations tools these domains. example using for student personalized recommendation generation presented.

Язык: Английский

Процитировано

5

Automatic Short Answer Grading in the LLM Era: Does GPT-4 with Prompt Engineering beat Traditional Models? DOI
Rafael Ferreira Mello, Cleon Pereira Júnior, Luiz Rodrigues

и другие.

Опубликована: Фев. 21, 2025

Язык: Английский

Процитировано

0

Generative AI and the social functions of educational assessment DOI Creative Commons

Patricia Broadfoot,

James Rockey

Oxford Review of Education, Год журнала: 2025, Номер 51(2), С. 281 - 300

Опубликована: Март 4, 2025

This paper examines the transformative potential of Generative AI (GenAI), particularly large language models such as ChatGPT, for social functions educational assessment. Using Patricia Broadfoot's 'four Cs' framework – competence, competition, content, and control analysis considers how GenAI may enhance or challenge these traditional roles. Two additional 'C's are introduced: 'credibility', concerning authenticity learner performance in an era AI-generated outputs, 'connoisseurship', relating to ability effectively use critically assess content. While offers significant opportunities personalised learning more nuanced assessments it also presents challenges related authenticity, surveillance, inequality. We conclude that remains a valid lens understanding assessment, now augmented by dimensions credibility connoisseurship.

Язык: Английский

Процитировано

0