Unveiling the Drivers of AI Integration Among Language Teachers: Integrating UTAUT and AI-TPACK DOI

Nguyen Hoang Mai Tram

Computers in the Schools, Год журнала: 2024, Номер unknown, С. 1 - 21

Опубликована: Дек. 14, 2024

Artificial intelligence (AI) offers numerous benefits to the field of language education, making it crucial understand factors influencing teachers' adoption these technologies. This study investigates determinants AI chatbots in educational settings. Drawing on Unified Theory Acceptance and Use Technology (UTAUT) Technological Pedagogical Content Knowledge (TPACK) framework, a comprehensive model among teachers is proposed tested. Data were collected from 276 Vietnam through an online survey. Partial Least Square-Structural Equation Modeling (PLS-SEM) was employed analyze data. Results indicate that intent significantly predicts integration, while performance expectancy, effort self-efficacy are key intent. AI-TPACK emerges as factor, strongly self-efficacy, expectancy. Facilitation found be significant predictor AI-TPACK. These findings enhance theoretical framework education provide valuable insights for fostering effective integration teachers.

Язык: Английский

Exploring Factors Influencing the Adoption of ChatGPT as a Supportive Tool in EFL Lesson Creation DOI Creative Commons

Minh Chau Diep,

Minh Huy Dang

AsiaCALL Online Journal, Год журнала: 2025, Номер 16(1), С. 111 - 139

Опубликована: Янв. 27, 2025

This quantitative study explores the key factors that shape teachers' use of ChatGPT as a valuable tool for lesson creation. It also identifies challenges may hinder its effective adoption. A mixed-methods approach was used to collect data, including three participants who were chosen in-depth interviews and 198 EFL teachers given questionnaires under various circumstances. Factors such perceived usefulness, ease use, social influence explored based on theory Technology Acceptance Model (TAM) Unified Theory Use (UTAUT) data analysis SmartPLS software conduct Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings showed important connections between these how they influenced intention in planning daily lessons. highlighted difficulties utilizing Chat GPT, offering practical suggestions educators policymakers improve technology integration settings.

Язык: Английский

Процитировано

1

Self-directed learning for optimizing sustainable language learning via mobile assisted language learning: a systematic review DOI Creative Commons
Sritama Roy,

S N S Gandhimathi

Frontiers in Education, Год журнала: 2025, Номер 9

Опубликована: Янв. 17, 2025

Sustainability has become an essential factor in the field of education as world evolves toward digitization. Technology is a valuable educational tool for sustainable development and it rapidly adopted worldwide, leading to substantial innovations findings. such Interactive Whiteboards, Learning Management Systems (LMS), Mobile Assisted Language (MALL), enhance self-directed learning among learners. According goals UNESCO, 2030 Agenda Sustainable Development Goal-4 (SDG4) focuses on quality that endorses equity equal opportunity all. method can improve teaching-learning context. However, limited studies have focused utilizing MALL context learning. The present study discusses use mobile applications language It provides systematic review findings 16 empirical published between 2019 2023 from Scopus Web Science, based PRISMA (Preferred Reporting Items Systematic Reviews Meta-Analyses) 2020. analyzes apps highlights importance digital abilities promoting lifelong result indicates benefits potential Mobile-Assisted (MALL) providing opportunities.

Язык: Английский

Процитировано

0

Spanish language learning in the AI era: AI as a scaffolding tool DOI Creative Commons
Huang Shanshan, Daniel Cassany

Journal of China Computer-Assisted Language Learning, Год журнала: 2025, Номер unknown

Опубликована: Апрель 8, 2025

Abstract This study investigated how ten Chinese university students interacted with ChatGPT to facilitate their acquisition of Spanish as a second language. In semi-informal educational setting, 370 prompts authored by the and AI-generated responses they yielded were collected over course one week. Secondary data sources included questionnaires learning diaries. Findings revealed that primarily sought assistance from vocabulary acquisition, reading comprehension, written expression, fewer focused on grammar or oral communication. The showed significant variation in length, language preference, pattern, though only small portion involved more than single prompt-response interaction. trend suggests largely task-oriented use ChatGPT, limited reflective engagement. points teacher ↔ AI learner relationship new dimension interaction offers practical recommendations for educators AI-assisted learning. Key suggestions include fostering students’ self-directed abilities encouraging systematic approaches.

Язык: Английский

Процитировано

0

Software Review DOI Creative Commons
Chenghao Wang,

Xueyun Li

International Journal of Computer-Assisted Language Learning and Teaching, Год журнала: 2025, Номер 15(1), С. 1 - 11

Опубликована: Фев. 1, 2025

D-ID Creative Reality Studio (D-ID) is a platform for creating Artificial Intelligence (AI) presenter (digital human) videos, translating and designing conversational agents. seamlessly integrates deep-learning face animation technology, large language models (LLMs), natural processing (NLP), speech synthesis recognition (SSR), offering new possibilities immersive teaching learning. As highlighted in the slogan, “Amaze your audience with art” (D-ID, 2024), both learners teachers can utilise to create personalised multimodal digital learning resources. Aligning interaction hypothesis (Long, 1996), agent serve as partner, accurate linguistic input facilitating practice anytime anywhere. Additionally, incorporation of human consistent Cognitive Theory Multimedia Learning (Mayer & Moreno, 2003), which asserts that dual-channel input—integrating visual auditory modalities—enhances memory retention overall effectiveness. This software review centres on web-based version provides detailed analysis main features contribute second acquisition.

Язык: Английский

Процитировано

0

Revisiting Integrated Model of Technology Acceptance Among the Generative AI‐Powered Foreign Language Speaking Practice: Through the Lens of Positive Psychology and Intrinsic Motivation DOI Open Access
Chenghao Wang,

Xueyun Li,

Bin Zou

и другие.

European Journal of Education, Год журнала: 2025, Номер 60(1)

Опубликована: Фев. 21, 2025

ABSTRACT Research on the factors influencing acceptance of GenAI in language learning has expanded widely; however, few studies have focused role emotions. To enhance effectiveness GenAI‐powered English‐speaking instruction and experience, this study expands Integrated Model Technology Acceptance (IMTA) by investigating various emotions willingness to communicate different contexts as intrinsic motivators for conversational chatbots. Using a questionnaire ( n = 368) pre‐ post‐tests, found that EFL learners with higher communicative confidence greater foreign boredom tend perceive chatbots less useful developing speaking skills. While successfully aided them improving their skills through both theme‐based free dialogues, who are more willing engage face‐to‐face interactions peers teachers may not find productive or engaging human counterparts. The results suggest should be aware limitations students' individual differences, integrating into classrooms way aligns student's proficiency preferences create harmonious efficient GenAI‐supported environment. This also underscores importance teachers' AI competence era.

Язык: Английский

Процитировано

0

Unveiling the Drivers of AI Integration Among Language Teachers: Integrating UTAUT and AI-TPACK DOI

Nguyen Hoang Mai Tram

Computers in the Schools, Год журнала: 2024, Номер unknown, С. 1 - 21

Опубликована: Дек. 14, 2024

Artificial intelligence (AI) offers numerous benefits to the field of language education, making it crucial understand factors influencing teachers' adoption these technologies. This study investigates determinants AI chatbots in educational settings. Drawing on Unified Theory Acceptance and Use Technology (UTAUT) Technological Pedagogical Content Knowledge (TPACK) framework, a comprehensive model among teachers is proposed tested. Data were collected from 276 Vietnam through an online survey. Partial Least Square-Structural Equation Modeling (PLS-SEM) was employed analyze data. Results indicate that intent significantly predicts integration, while performance expectancy, effort self-efficacy are key intent. AI-TPACK emerges as factor, strongly self-efficacy, expectancy. Facilitation found be significant predictor AI-TPACK. These findings enhance theoretical framework education provide valuable insights for fostering effective integration teachers.

Язык: Английский

Процитировано

0