
Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 17, 2024
Language: Английский
Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 17, 2024
Language: Английский
Education and Information Technologies, Journal Year: 2024, Volume and Issue: unknown
Published: Aug. 24, 2024
Language: Английский
Citations
17Computers and Education Artificial Intelligence, Journal Year: 2025, Volume and Issue: unknown, P. 100379 - 100379
Published: Feb. 1, 2025
Language: Английский
Citations
2Journal of Manufacturing Technology Management, Journal Year: 2024, Volume and Issue: 36(1), P. 1 - 22
Published: Aug. 22, 2024
Purpose The present research investigates the effects of adopting Industry 4.0 technologies (ADT) on Pakistani food sector’s sustainable performance (SP). Specifically, it focuses roles green supply chain collaboration (GSCC), circular economy practices (CEP) and technological readiness (TR) as mediators environmental dynamism (EDY) a moderator. Design/methodology/approach This study is based natural resource-based view (NRBV) theory to determine 14.0 adoption toward with moderators. authors conducted an online questionnaire from 318 employees manufacturing industries in Lahore, Pakistan, applied PLS-SEM approach test relationships variables. Findings findings this reveal that significantly influences through GSCC, CEP TR sector. Moreover, relation between industry technologies, positively moderated by dynamism. Research limitations/implications have marked implications for literature I4.0 data collected single country, limitation study. Originality/value provides conclusive evidence influence first investigate moderating role among TR.
Language: Английский
Citations
13Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 368, P. 122223 - 122223
Published: Aug. 19, 2024
Language: Английский
Citations
11British Educational Research Journal, Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 19, 2024
Abstract The adoption of generative artificial intelligence (GAI) tools, such as ChatGPT, in higher education presents numerous opportunities and challenges. use GAI technologies various fields, including education, has accelerated technology develops. widely used language model developed by OpenAI, become progressively more important, especially the field education. This study employs acceptance to investigate factors influencing employment ChatGPT within sector Pakistan. employed PLS‐SEM method for probing data collected from 368 Pakistani university students. findings indicate that trust positively mediates affiliation between self‐efficacy, actual use, information interaction. Further, usefulness ease significantly moderate association self‐efficacy trust. Educators must encourage students safely preserve their critical thinking, problem‐solving abilities creativity during assessments. contributes understanding AI tools are educational settings provides insights administrators policymakers aiming implement these effectively.
Language: Английский
Citations
6European Journal of Education, Journal Year: 2025, Volume and Issue: 60(1)
Published: Jan. 17, 2025
ABSTRACT The benefits of Generative Artificial Intelligence (GenAI) in enhancing second language (L2) learning are well established. However, these advantages can only be realised if learners willing to adopt the technology. This study, grounded Theory Planned Behaviour (TPB), investigated factors influencing behavioural intention use GenAI among 337 Chinese college L2 using five validated scales. A Structural Equation Modelling (SEM) approach with Amos 24 yielded several key findings. Notably, demographic encompassing gender and age did not significantly affect TPB components. Subjective norm attitude were found have a positive significant impact on intention, while perceived control demonstrate effect. Furthermore, literacy emerged as predictor both directly indirectly through its influence attitude. Collectively, variables accounted for 51.6% variance intention. study also discusses theoretical pedagogical implications offers suggestions future research.
Language: Английский
Citations
0European Journal of Education, Journal Year: 2025, Volume and Issue: 60(1)
Published: Jan. 17, 2025
ABSTRACT This study investigates the use of Large Language Models (LLMs) by undergraduates majoring in Instrumentation and Control Engineering (ICE) at University Shanghai for Science Technology. We conducted a questionnaire survey to assess awareness usage habits these LLMs among ICE courses, focusing on model types, frequency, self‐study tasks post‐usage feedback. The results indicate that ChatGPT is most frequently used undergraduates. Furthermore, we evaluated performance GPT‐3.5 GPT‐4 set 342 questions sourced from China MOOC platform. reveal significant differences between across various sub‐disciplines question types. shows particular proficiency understanding control technology system, achieving an accuracy 82.16%, compared 68.42% GPT‐3.5. Finally, explore factors influencing students propose strategies teachers incorporate into courses. highlights potential enhance education provides concrete examples their application engineering coursework.
Language: Английский
Citations
0Published: Jan. 1, 2025
Language: Английский
Citations
0Education and Information Technologies, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 26, 2025
Language: Английский
Citations
0Forum for education studies., Journal Year: 2025, Volume and Issue: 3(1), P. 1812 - 1812
Published: March 19, 2025
Recent advancements in natural language processing (NLP) and large models (LLM) such as ChatGPT, have generated high expectations concerns regarding the future impact of AI on education learning. In light this, our goal was to investigate usage ChatGPT among social work students identify factors that predict its adoption according Technology Acceptance Model (TAM). To achieve we conducted an online study with a sample (N = 875). The results revealed has been widely adopted, 80% reporting use for study-related tasks. However, frequency moderate. Thus, although experiment they do not it very frequently their studies. Its primary applications include clarifying questions, explaining concepts, analysing, editing, writing texts, well conducting literature reviews. primarily predicted by perceived usefulness, followed ease use. Interestingly, affinity technological interaction did emerge significant predictor. This suggests even who are typically less interested technology utilizing studies due usefulness. Overall, these findings highlight widespread emphasize importance usefulness driving usage.
Language: Английский
Citations
0