Generative AI and the end of corpus-assisted data-driven learning? Not so fast! DOI Creative Commons

Peter Crosthwaite,

Vít Baisa

Applied Corpus Linguistics, Journal Year: 2023, Volume and Issue: 3(3), P. 100066 - 100066

Published: July 13, 2023

This article explores the potential advantages of corpora over generative artificial intelligence (GenAI) in understanding language patterns and usage, while also acknowledging GenAI to address some main shortcomings corpus-based data-driven learning (DDL). One is that we know exactly domain texts from which corpus data derived, something cannot track current large models underlying applications like ChatGPT. We make up general such as BNC2014 BAWE, can even extract full these if needed. Corpora allow for more nuanced analysis patterns, including statistics behind multi-word units collocations, be difficult handle. However, it important note has its own strengths advancing our language-in-use corpora, date, have struggled with. therefore argue by combining approaches, learners gain a comprehensive how works different contexts than currently possible using only single approach.

Language: Английский

EFL Teachers’ Perspectives toward the Use of ChatGPT in Writing Classes: A Case Study at Van Lang University DOI Creative Commons
Thi Thu Hang Nguyen

International Journal of Language Instruction, Journal Year: 2023, Volume and Issue: 2(3), P. 1 - 47

Published: July 24, 2023

The introduction of ChatGPT is seen as a potential chance to improve second language learning and instruction. However, the acceptance technology in education dependent on instructors' views. As consequence, it vital explore how EFL teachers assess implementation classes, particularly Vietnam, where research this topic scarce. goal study learn about teachers' thoughts using writing sessions gather ideas for its implementation. involved twenty Van Lang University who utilized their taught numerous courses. An online survey structured interview were used collect quantitative qualitative data. study's results show that instructors at are enthusiastic lessons. Furthermore, emphasizes necessity professional training instructors, boosting user knowledge limits possible hazards connected with ChatGPT, assuring correct chatbot use critical elements contribute successful deployment.

Language: Английский

Citations

61
ChatGPT: The cognitive effects on learning and memory DOI Creative Commons
Long Bai,

Xiangfei Liu,

Jiacan Su

et al.

Brain‐X, Journal Year: 2023, Volume and Issue: 1(3)

Published: Sept. 1, 2023

Abstract As the integration of artificial intelligence (AI) into our daily lives and educational environments becomes increasingly prevalent, it is necessary to understand way in which these technologies impact cognitive functions. AI models such as ChatGPT hold immense promise for advancing field education, making easier than ever educators support personalized learning students access information. However, there are risks associated with increased engagement; individuals may become over‐reliant on AI, resulting a reduced capacity critical thinking, or decline memory retention. This article provides comprehensive survey potential impacts, emphasizing need judicious utilization advocating an approach that supplements, rather supplants, human The paper concludes by encouraging further research long‐term effects interacting advanced ChatGPT.

Language: Английский

Citations

60
Students’ Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan DOI Open Access
Aseel O. Ajlouni, Fatima Abd-Alkareem Wahba, Abdallah Salem Almahaireh

et al.

International Journal of Interactive Mobile Technologies (iJIM), Journal Year: 2023, Volume and Issue: 17(18), P. 99 - 117

Published: Sept. 20, 2023

This research aims to examine students’ attitudes toward using ChatGPT as a learning tool quantitative approach with descriptive study design. For data collection, researchers have developed attitude measures that utilize the ABC model, which encompasses three components of (affective, cognitive, and behavioral). The was conducted among random sample 623 undergraduates who enrolled at University Jordan, consisting 476 females 147 males. results statistics indicate there is high level positive utilizing tool. Furthermore, findings confirm moderate affective behavioral cognitive undergraduate students. A proportion respondents (73.2%) agreed on potential ability facilitate process. In comparison, 20.7% participants raised apprehensions regarding precision produced by ChatGPT, while an equivalent percentage (20.7%) reported feeling uncomfortable platform; conversely, 14.6% those surveyed acknowledged experiencing anxiety when unable access ChatGPT’s services. this encourage decision-makers educators Jordan incorporate into curricula instructional practices, considering student concerns risk misuse.

Language: Английский

Citations

57
“To Use or Not to Use?” A Mixed-Methods Study on the Determinants of EFL College Learners’ Behavioral Intention to Use AI in the Distributed Learning Context DOI Creative Commons

Hanwei Wu,

Yunsong Wang, Yongliang Wang

et al.

The International Review of Research in Open and Distributed Learning, Journal Year: 2024, Volume and Issue: 25(3), P. 158 - 178

Published: Aug. 26, 2024

Artificial intelligence (AI) offers new possibilities for English as a foreign language (EFL) learners to enhance their learning outcomes, provided that they have access AI applications. However, little is written about the factors influence intention use in distributed EFL contexts. This mixed-methods study, based on technology acceptance model (TAM), examined determinants of behavioral among 464 Chinese college learners. As quantitative data, structural equation modelling (SEM) approach using IBM SPSS Amos (Version 24) produced some important findings. First, it was revealed perceived ease significantly and positively predicts usefulness attitude toward AI. Second, contrary TAM assumptions, does not predict either or Third, mediation analyses suggest has significant positive impact students’ through AI, rather than usefulness. qualitative semi-structured interviews with 15 learners, analyzed by software MAXQDA 2022, provide nuanced understanding statistical patterns. study also discusses theoretical pedagogical implications suggests directions future research.

Language: Английский

Citations

53
Generative AI and the end of corpus-assisted data-driven learning? Not so fast! DOI Creative Commons

Peter Crosthwaite,

Vít Baisa

Applied Corpus Linguistics, Journal Year: 2023, Volume and Issue: 3(3), P. 100066 - 100066

Published: July 13, 2023

This article explores the potential advantages of corpora over generative artificial intelligence (GenAI) in understanding language patterns and usage, while also acknowledging GenAI to address some main shortcomings corpus-based data-driven learning (DDL). One is that we know exactly domain texts from which corpus data derived, something cannot track current large models underlying applications like ChatGPT. We make up general such as BNC2014 BAWE, can even extract full these if needed. Corpora allow for more nuanced analysis patterns, including statistics behind multi-word units collocations, be difficult handle. However, it important note has its own strengths advancing our language-in-use corpora, date, have struggled with. therefore argue by combining approaches, learners gain a comprehensive how works different contexts than currently possible using only single approach.

Language: Английский

Citations

49