Published: Jan. 1, 2025
Language: Английский
Cogent Education, Journal Year: 2024, Volume and Issue: 11(1)
Published: Sept. 16, 2024
Language: Английский
Citations
7
Ethics & Behavior, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 17
Published: Oct. 25, 2024
This study examines researchers' ethical concerns toward the deployment of GenAI in research and their emotional responses. To acquire an in-depth understanding, we used narrative frames follow-up interviews to collect data from 22 researchers who reported extensive experience with GenAI. An inductive thematic analysis revealed three themes capturing that invoked types reactions. From perspective, our participants were concerned "human agency AI practices," "cognitive impacts overreliance on research," "ethical issues access, accuracy, privacy." they showed "mixed emotions," "positive "negative emotions" when dealing tools. There close connections between implications reactions them. In this light, conclude GenAI, which are determinants future use, should be taken more seriously further research.
Language: Английский
Citations
6
Journal of Computers in Education, Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 9, 2024
Language: Английский
Citations
4
Management Decision, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 27, 2025
Purpose The study aims to examine the influence of Unified Theory Acceptance and Use Technology (UTAUT) anthropomorphic design cues in determining level satisfaction among banking chatbot users. It also tests moderating impact localization content on relationship. encompasses expectation confirmation, elucidating significance perceived trust maintaining intention. Design/methodology/approach conducted a comprehensive online survey, collecting 667 questionnaires from users conversational chatbots both public private sector banks. We analyse data using Partial Least Squares Structural Equation Modelling fuzzy-set Qualitative Comparative Analysis. Findings Performance effort expectancy, interestingness interaction empathy were identified as significant indicators, whereas facilitating conditions, social intelligence not explaining satisfaction. Perceived was mediator, while moderator all cases except Practical implications To improve empathy, tech developers should focus improving chatbot’s ability maintain contextual understanding within conversation where it can remember reference previous interactions. Future studies might explore development that incorporate advanced levels characteristics, whether visual or intuitive. Originality/value work is unique integrates UTATUT, anthropomorphism confirmation model context chatbots, which achievable single theory-based model. underlined necessity localizing content, recommending banks engage localized native speakers help with training creation, specialists fine-tune features.
Language: Английский
Citations
0
Education and Information Technologies, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 28, 2025
Language: Английский
Citations
0
Behaviour and Information Technology, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 20
Published: Feb. 7, 2025
Language: Английский
Citations
0
Physics Education, Journal Year: 2025, Volume and Issue: 60(2), P. 025022 - 025022
Published: Feb. 21, 2025
Abstract OpenAI’s ChatGPT, a formidable large language model (LLM) based on generative pre-trained transformer architecture, has remarkable, and rather unsettling, ability to solve conceptually challenging physics problems. One of the more impressive demonstrations ChatGPT’s capabilities in this regard is its expert-physicist-level performance questions that make up Force Concept Inventory [CG West, https://arxiv.org/abs/2303.01067 ]. Motivated by deep implications these advances LLM technologies for student learning, attainment, assessment, we asked class undergraduate students ( N = 119) use ChatGPT problems, write Python code, related eigenfunctions Hamiltonian 1D quantum harmonic oscillator—a staple introductory mechanics courses. We discuss significant pitfalls encountered when incorporating into coursework manner, recommendations as how LLMs might be better embedded curriculum.
Language: Английский
Citations
0
Benchmarking An International Journal, Journal Year: 2025, Volume and Issue: unknown
Published: March 24, 2025
Purpose This research uses a mixed-methods approach to identify predictors of Generative artificial intelligence (Gen-AI) adoption and usage among academics educational researchers. It examines drivers barriers based on the diffusion innovation theory (DIT) planned behaviour (TPB). Design/methodology/approach A qualitative investigation was carried out by conducting interviews academic researchers who used Gen-AI tools such as ChatGPT. Based DIT, TPB analysis results, an integrated model proposed tested using survey data collected from analysed partial least squares-structural equation modelling (PLS-SEM). Findings The study demonstrated that relative advantages observability influence attitude subjective norms, these in turn impact behavioural intentions. Researchers' perception advantage their intentions use were found lead positive behaviours. However, technical limitations ethical concerns acted key moderators between intention norms intention, respectively. Mediation effects also observed. Research limitations/implications utilised DIT its base models, future could incorporate additional constructs other technology theories. concentrated had subsequently reported significant factors affecting usage. Future studies should consider perspective non-users tools. Further, geographical focus India, broaden scope. Practical implications community must unite develop guidelines for plagiarism research. be emphasising importance highlights need establishing standards, comprehensive transparently within framework. Originality/value results can greatly enhance understanding researchers, particularly light about integrity potential negative consequences
Language: Английский
Citations
0
PeerJ Computer Science, Journal Year: 2025, Volume and Issue: 11, P. e2773 - e2773
Published: March 27, 2025
Background The healthcare sector is experiencing rapid digital advancements, with patients increasingly seeking quick and seamless interactions. Artificial intelligence (AI)-driven chatbots are becoming an integral part of elderly care, transforming provider-patient engagement supporting health behavior goals tailored to individual preferences, needs, limitations. Methods This study developed a comprehensive research framework incorporating various theoretical perspectives explore the determinants sustained use AI-powered among older adults. also examined mediating influence perceived humanness. model was evaluated using partial least squares structural equation modeling (PLS-SEM) on cross-sectional data collected from 158 individuals aged 60 above. Results findings show that satisfaction significantly influenced by facilitating conditions, hedonic motivation, confirmation, performance expectancy, effort expectancy. Perceived security plays critical role in shaping intention continue these chatbots. Moreover, analysis revealed humanness mediates relationship between continuous intentions users Saudi Arabia. Discussion provides valuable insights into factors influencing adults’ acceptance AI Arabia, particularly post-COVID-19 era. These enrich academic discourse offer actionable recommendations for organizations adapting evolving landscape.
Language: Английский
Citations
0
International Journal of Systems Assurance Engineering and Management, Journal Year: 2025, Volume and Issue: unknown
Published: April 1, 2025
Language: Английский
Citations
0