Опубликована: Дек. 27, 2024
Язык: Английский
Behavioral Sciences, Год журнала: 2025, Номер 15(3), С. 328 - 328
Опубликована: Март 7, 2025
Although the adoption and benefits of GenAI (Generative Artificial Intelligence) tools among higher education students have been widely explored in existing studies, less is known about how individual capabilities influence use these tools. Drawing on Information System Success Model (ISSM) Expectation–Confirmation (ECM), this study examines students’ capabilities, including critical thinking, self-directed learning ability, AI literacy, impact quality information obtained from Additionally, it explores relationships quality, student satisfaction, intention to continue using education. Survey data 1448 users Chinese universities reveal that with stronger tend extract higher-quality information, which turn fosters their satisfaction The findings highlight crucial role maximizing potential tools, emphasizes need cultivate literacy achieve sustainable success era. Theoretically, extends ISSM ECM by exploring mediating user between Practically, provides implications for educators policymakers enhance thus
Язык: Английский
Процитировано
0
Frontiers in Education, Год журнала: 2025, Номер 10
Опубликована: Март 13, 2025
The study aims at gaining insights into relationships between perceived institutional support and students’ perceptions of AI-supported learning. It also investigates the mediating role learning outcomes moderating effect technology self-efficacy within this context. Research model was developed validated based on Social Cognitive Theory (SCT) students. Using quantitative research design convenience sampling technique, 204 students from higher education institutions were included in analysis. Data analyzed using structural equation modeling (SEM) to test hypothesized relationships. results revealed that significantly impacts ( β = 0.200, C.R. 2.291, p 0.022), 0.492, 9.671, < 0.001), outcomes. Additionally, found negative −0.146, CR −2.507, 0.012) relationship perceptions. Perceived outcome partial mediated learning, with a direct 0.155, 0.001) an indirect 0.539, as evidenced by confidence interval [0.235, 0.549]. These findings highlight significant interplay support, self-efficacy, shaping AI education, underscoring importance fostering supportive academic environments for effective integration. theoretical practical implications are discussed.
Язык: Английский
Процитировано
0
Applied Mathematics and Nonlinear Sciences, Год журнала: 2025, Номер 10(1)
Опубликована: Янв. 1, 2025
Abstract Existing question-answering systems often answer questions only through database search or manual methods, and there are certain problems with the accuracy effectiveness of question-answering. In this paper, based on semantic similarity related algorithm, we design an intelligent Q&A system for English calculation. Firstly, modeled lexical technology educational text representation, proposed improved TF-IDF weight calculation method to assign weights professional non-professional words respectively, calculated between by using cosine in vector space model. Students’ classroom questioning data were collected analyze accuracy, question-prediction performance, student application effect designed system.Five students used module about knowledge Fundamentals Grammar, checking rates 91.43%, 95.83%, 96.55%, 92.86%, 92.59%, respectively.With regard self-directed learning five courses, experimental classes’ hours far higher than that control class, frequency is also attitude more positive. This study applies artificial intelligence achieve accurate efficient teaching, which provides new ideas methods teaching innovation.
Язык: Английский
Процитировано
0
Education and Information Technologies, Год журнала: 2024, Номер unknown
Опубликована: Дек. 18, 2024
Язык: Английский
Процитировано
3
Опубликована: Дек. 27, 2024
Язык: Английский
Процитировано
0