Towards a model for primary students’ behavioral intention to learn AI: programming ability, AI literacy and ethics as three fundamental pillars

Interactive Learning Environments, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 15

Published: Feb. 24, 2025

Language: Английский

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Behavioral Dynamics Analysis in Language Education: Generative State Transitions and Attention Mechanisms

Behavioral Sciences, Journal Year: 2025, Volume and Issue: 15(3), P. 326 - 326

Published: March 6, 2025

This study proposes a novel approach for analyzing learning behaviors in Chinese language education by integrating generative attention mechanisms and state transition equations. method dynamically adjusts weights models real-time changes students’ emotional behavioral states, addressing key limitations of existing approaches. A central innovation is the introduction loss function, which jointly optimizes sentiment prediction behavior analysis, enhancing adaptability model to diverse scenarios. based on empirical experiments involving student tracking, personalized path modeling. Experimental results demonstrate this method’s effectiveness, achieving an accuracy 90.6%, recall 88.4%, precision 89.3%, F1-score 88.8% tasks. Furthermore, attains satisfaction score 89.2 with 94.3% positive feedback rate, significantly outperforming benchmark such as BERT, GPT-3, T5. These findings validate practical applicability robustness proposed method, offering structured framework teaching optimization dynamic modeling education.

Language: Английский

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In-Service Teachers’ Continuous Education on the Implementation of Virtual Learning Environments

Lecture notes in networks and systems, Journal Year: 2025, Volume and Issue: unknown, P. 11 - 19

Published: Jan. 1, 2025

Language: Английский

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Exploring the factors influencing the adoption of artificial intelligence technology by university teachers: the mediating role of confidence and AI readiness

BMC Psychology, Journal Year: 2025, Volume and Issue: 13(1)

Published: March 27, 2025

This study aims to explore the mediating role of confidence and artificial intelligence (AI) readiness in university teachers' behavioral intention adopt AI technology, providing empirical support for enhancing willingness use technology from both theoretical practical perspectives. used a random sampling method conduct an online survey 504 teachers, assessing impact subjective norms on intention. The included scales norms, confidence, readiness, Data analysis was performed using AMOS 26, SPSS Statistics 27 software Model 6 PROCESS 4.0 plugin, aiming investigate between Subjective were found have significant positive correlation with indirectly influenced through or readiness. Confidence played chain-mediating relationship (β = 0.0324, 95% CI: [0.0129, 0.0551]), accounting 12.87% total effect. reveals indicating that not only directly enhance but also exert indirect effects single chain mediation findings highlight critical intention, suggesting effectively increase it is important focus improving their thereby strengthening norms.

Language: Английский

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Artificial Intelligence in Ethiopian School Curriculum: Educators' Practices, Challenges, and Recommendations

Computers and Education Open, Journal Year: 2025, Volume and Issue: unknown, P. 100251 - 100251

Published: March 1, 2025

Language: Английский

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What is the influence of psychosocial factors on artificial intelligence appropriation in college students?

BMC Psychology, Journal Year: 2025, Volume and Issue: 13(1)

Published: Jan. 4, 2025

In recent years, the adoption of artificial intelligence (AI) has become increasingly relevant in various sectors, including higher education. This study investigates psychosocial factors influencing AI among Peruvian university students and uses an extended UTAUT2 model to examine constructs that may impact acceptance use. employed a quantitative approach with survey-based design. A total 482 from public private universities Peru participated research. The utilized partial least squares structural equation modeling (PLS-SEM) analyze data test hypothesized relationships between constructs. findings revealed three out six significantly influenced students. Performance expectancy (β = 0.274), social influence 0.355), learning self-efficacy 0.431) were found have significant positive effects on adoption. contrast expectations, ethical awareness, perceived playfulness, readiness anxiety did not impacts appropriation this context. highlights importance practical benefits, context, self-confidence within These contribute understanding diverse educational settings provide framework for developing effective implementation strategies education institutions. results can guide policymakers creating targeted approaches enhance integration academic environments, focusing demonstrating value AI, leveraging networks, building students' confidence their ability learn use technologies.

Language: Английский

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Generative Artificial Intelligence at school: University students perceptions and visions at Learning Sciences Faculty

EDUCATION SCIENCES AND SOCIETY, Journal Year: 2025, Volume and Issue: 2, P. 269 - 283

Published: Jan. 1, 2025

This study explores the attitudes and perceptions of preservice teachers regarding applications Generative Artificial Intelligence, with particular reference to ChatGPT their use in school. Functional elements emerge for professors, teachers' trainers, instructional designers. There is interest appreciation potential, caution considering classroom, incomplete awareness specific characteristics. The ability adapt texts  not perceived. Instead, confidence emerges reliability results when searching information disbelief that they can be alternative tools traditional search engines. participants agree on need systematic widespread training, which should involve teachers, in-service students.

Language: Английский

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What percentage of secondary school students do their homework with the help of artificial intelligence? - A survey of attitudes towards artificial intelligence

Computers and Education Artificial Intelligence, Journal Year: 2025, Volume and Issue: unknown, P. 100394 - 100394

Published: March 1, 2025

Language: Английский

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Research on the Effect of Electrical Engineering Courses Enabled by Information Technology

Advances in intelligent systems research/Advances in Intelligent Systems Research, Journal Year: 2024, Volume and Issue: unknown, P. 352 - 358

Published: Jan. 1, 2024

To explore the impact of curriculum reform on quality education in perspective information technology empowerment, we selected a course Electrical Engineering undertaken as object study, focusing classroom change.The subjects were divided into reference group and control group, practice adopted hybrid teaching mode combined with campus digital means, while traditional teaching, two groups evaluated for their effects after completion tasks.The results surface that is higher than terms academic performance, learning ability improvement, innovation potential recognition, study provides change smart era.

Language: Английский

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The Reality of Using Artificial Intelligence to Enhance University Education an Applied Study on a Sample of Media Professors in Arab Universities

Communications in computer and information science, Journal Year: 2024, Volume and Issue: unknown, P. 64 - 80

Published: Jan. 1, 2024

Language: Английский

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