Опубликована: Сен. 13, 2024
Язык: Английский
Computers in Human Behavior Reports, Год журнала: 2024, Номер 14, С. 100396 - 100396
Опубликована: Март 3, 2024
With the emergence of emerging 4IR technologies, AI application tools (chatbots) are becoming more and popular widespread in various fields, including education. This study investigates factors that influence undergraduate students' inclination to utilize tools, specifically chatbots, for educational purposes. We applied an expanded diffusion theory innovation framework examine relationships between relative advantages, compatibility, trialability, trust, perceived usefulness, ease use, behavioral intention. Data from 842 students were collected through a questionnaire using 7-point scale, findings analyzed SmartPLS 4.0.9.2 software with covariance-based structural equation model. The results confirm hypotheses regarding trust chatbots. Students who perceive benefits chatbots express strong intention use them academic perception compatibility positively influences their adoption intention, those have opportunity try out likely them, indicating importance trialability. Surprisingly, did not find direct suggesting presence other influencing or dynamics offer practical insights contribute theoretical understanding innovation. Future research can further explore these gain deeper into complexities chatbot enhance settings.
Язык: Английский
Процитировано
44
Technology in Society, Год журнала: 2024, Номер 77, С. 102537 - 102537
Опубликована: Март 29, 2024
Язык: Английский
Процитировано
42
Computers and Education Artificial Intelligence, Год журнала: 2024, Номер 6, С. 100202 - 100202
Опубликована: Янв. 6, 2024
There is a need for teachers who are prepared to teach Artificial Intelligence (AI) across the K-12 learning contexts. Owing dearth of teacher education programmes on AI, it helpful explore factors be considered in designing an effective AI programme future teachers. We posit that understanding how encourage pre-service learn thus critical practitioners and policymakers while instructional programmes. This exploratory study examined perceptions their behavioral intention by identifying might affect promoting preparation proposed research model supported theory planned behavior expanded with other constructs. The were include basic knowledge subjective norm, social good, perceived self-efficacy, self-transcendent goals, personal relevance, anxiety, actual AI. Using duly validated questionnaire, we surveyed 796 Nigerian Universities. Through structural equation modeling approach analyses, our explains about 79% variance teachers' Basic norm found most important determinant All hypotheses except self-efficacy relevance behavior. findings provide practitioners, researchers, valuable information consider
Язык: Английский
Процитировано
31
Journal Of Big Data, Год журнала: 2024, Номер 11(1)
Опубликована: Апрель 22, 2024
Abstract This investigation delves into Green AI and Sustainable literature through a dual-analytical approach, combining thematic analysis with BERTopic modeling to reveal both broad clusters nuanced emerging topics. It identifies three major clusters: (1) Responsible for Development, focusing on integrating sustainability ethics within technologies; (2) Advancements in Energy Optimization, centering energy efficiency; (3) Big Data-Driven Computational Advances, emphasizing AI’s influence socio-economic environmental aspects. Concurrently, uncovers five topics: Ethical Eco-Intelligence, Neural Computing, Healthcare Intelligence, Learning Quest, Cognitive Innovation, indicating trend toward embedding ethical considerations research. The study reveals novel intersections between significant research trends identifying Intelligence Quest as evolving areas societal impacts. advocates unified approach innovation AI, promoting integrity foster responsible development. aligns the Development Goals, need ecological balance, welfare, innovation. refined focus underscores critical development lifecycle, offering insights future directions policy interventions.
Язык: Английский
Процитировано
25
Journal for STEM Education Research, Год журнала: 2024, Номер unknown
Опубликована: Апрель 12, 2024
Abstract Artificial intelligence (AI) is becoming increasingly relevant, and students need to understand the concept. To design an effective AI program for schools, we find ways expose knowledge, provide learning opportunities, create engaging experiences. However, there a lack of trained teachers who can facilitate students’ learning, so focus on developing capacity pre-service teach AI. Since engagement known enhance it necessary explore how engage in This study aimed investigate teachers’ with after 4-week at university. Thirty-five participants took part reported their perception 7-factor scale. The factors assessed survey included (cognitive—critical thinking creativity, behavioral, social), attitude towards AI, anxiety readiness, self-transcendent goals, confidence We used structural equation modeling approach test relationships our hypothesized model using SmartPLS 4.0. results supported all hypotheses, attitude, anxiety, being found influence engagement. discuss findings consider implications practice policy.
Язык: Английский
Процитировано
13
Cogent Education, Год журнала: 2024, Номер 11(1)
Опубликована: Март 11, 2024
This study addresses the challenge of teaching genetics effectively to high school students, a topic known be particularly challenging. Leveraging growing importance artificial intelligence (AI) in education, research explores perspectives, attitudes, and behavioral intentions pre-service teachers regarding integration AI-based applications education. As these teachers, commonly denoted as digital natives, are expected seamlessly integrate technology into their future classrooms our technology-dependent society, understanding viewpoints is crucial. The involved 90 teacher candidates specializing biology from Nigerian higher education institutions. Employing Theory Planned Behavior, survey responses were analyzed using structural equation modeling independent sample t-test methods. results indicate that perceived usefulness subjective norms significant predictors AI use, with strongly influencing teachers' intentions. Notably, control does not significantly predict intentions, paralleling observation perceive guarantee adoption. Gender differentially affects norms, among female while no gender differences observed other variables, suggesting comparable attitudes. underscores pivotal role attitudes social shaping decisions integration. Detailed discussions on implications, limitations, potential directions also discussed.
Язык: Английский
Процитировано
11
School Science and Mathematics, Год журнала: 2025, Номер unknown
Опубликована: Янв. 28, 2025
Abstract We applied a mixed‐method survey approach to explore STEM teachers' perceptions, familiarity, and the support needed for integrating generative artificial intelligence (GenAI) in K‐12 education. The study collected 48 responses from Idaho, USA, predominantly White, female teachers servicing rural schools. analyzed data using both descriptive inferential statistics, along with thematic content analysis. findings revealed diverse perceptions among regarding impact of GenAI on education, an almost equal split between those who viewed positively it negatively. Similarly, familiarity integration varied widely, over half lacking user experience. A significant positive correlation was found their its integration. Despite these views, there strong consensus importance equipping students AI‐related knowledge skills. While professional development identified as most crucial integration, pointed own resistance lack awareness school leadership major challenges implementing GenAI‐focused development. discussed implications developing systems that can better facilitate
Язык: Английский
Процитировано
1
Sustainability, Год журнала: 2024, Номер 16(9), С. 3554 - 3554
Опубликована: Апрель 24, 2024
The analysis of students’ attitudes and perceptions represents a basis for enhancing different types activities, including teaching, learning, assessment, etc. Emphasis might be placed on the implementation modern procedures technologies, which play an important role in process digital transformation. Among them is artificial intelligence—a technology that has already been found to applicable various sectors. When it comes education, several AI-based tools platforms can used by students teachers. Besides offering customized learning experiences, AI may significant part establishing concept sustainability, especially when concerning achievement sustainable development goal 4. This paper investigates intention use intelligence taking three predictors from UTAUT model awareness as moderator. included Autonomous Province Vojvodina, Republic Serbia. For purpose research, partial least squares structural equation modeling (PLS-SEM) method was applied. Hereby, two models (without with moderator) were tested examine main moderating effects, respectively. Regarding results, while interaction terms non-significant, impacts performance expectancy, effort social influence behavioral positive.
Язык: Английский
Процитировано
5
Computers and Education Open, Год журнала: 2024, Номер 7, С. 100212 - 100212
Опубликована: Авг. 25, 2024
The integration of artificial intelligence (AI) as a subject into K-12 education worldwide is still in its early stages and undoubtedly needs further investigation. There limited effort on understanding policymakers, teachers students' viewpoints AI learning within the school system. This study gathered thoughts key stakeholders, including higher teachers, students Nigeria, to understand their conceptions, concerns, dispositions, with aim aiding implementation schools. We explored diverse how they can be supported juxtaposed views identify priorities opinions combined could give holistic approach effective education. research employed qualitative methodology using semi-structured interviews means data collection. thematic analysis interview from 21 participants indicates what considered for system, concerns support needed implement findings this contribute ongoing conversation effectively integrate curriculum.
Язык: Английский
Процитировано
5
Pedagogies An International Journal, Год журнала: 2025, Номер unknown, С. 1 - 17
Опубликована: Янв. 10, 2025
Recent advancements in artificial intelligence (AI) technologies have created new opportunities education. While existing research has largely focused on AI's role educational contexts and teachers' perceptions of AI-supported learning, there remains a notable gap understanding readiness to integrate AI into their instructional practices. This study addresses this by exploring pre-service English language (PELTs) incorporate future classrooms, specifically examining confidence using AI, attitudes towards perceived needs for training support. The involved nine PELTs enrolled at state university Türkiye employed qualitative methodology. Data were collected through reflective journals semi-structured interviews, thematic analysis was used identify key findings. Results revealed that generally hold positive education but emphasize the need targeted additional support implement effectively teaching These findings underscore importance enhancing AI-related programs teachers facilitate integration Future with larger more diverse samples is recommended validate these results provide robust insights policymaking curriculum development.
Язык: Английский
Процитировано
0