Pre-service teachers' technology acceptance of artificial intelligence (AI) applications in education DOI Creative Commons

Isidro Max V. Alejandro,

Joje Mar P. Sanchez, Gino G. Sumalinog

и другие.

STEM Education, Год журнала: 2024, Номер 5(1), С. 445 - 465

Опубликована: Янв. 1, 2024

<p>We verified a pre-service teachers' Extended Technology Acceptance Model (ETAM) for AI application use in education. Partial least squares structural equation modeling (PLS-SEM) examined data from 400 teachers Central Visayas, Philippines. Perceived usefulness and attitudes, ease of intention to apps were significantly correlated. However, subjective norms, experience, voluntariness did not affect how valuable was viewed or intended be used. Attitudes toward mediated specific correlations use. These findings improve the ETAM model highlight significance user-friendly interfaces, educational activities highlighting AI's benefits, institutional support enhance adoption applications Despite its limitations, this study establishes foundation further research on settings.</p>

Язык: Английский

Pre-service Preschool and Primary School Teachers’ Position on Artificial Intelligence DOI
Vincentas Lamanauskas, Rita Makarskaitė-Petkevičienė

EAI/Springer Innovations in Communication and Computing, Год журнала: 2025, Номер unknown, С. 183 - 197

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Perspectives of academic staff on artificial intelligence in higher education: exploring areas of relevance DOI Creative Commons
Dana-Kristin Mah, Nils Knoth, Marc Egloffstein

и другие.

Frontiers in Education, Год журнала: 2025, Номер 10

Опубликована: Март 26, 2025

Despite the recent increase in research on artificial intelligence education (AIED), studies investigating perspectives of academic staff and implications for future-oriented teaching at higher institutions remain scarce. This exploratory study provides initial insight into 112 by focusing three aspects considered relevant sustainable, age AI: instructional design, domain specificity, ethics. The results indicate that participants placed greatest importance AIED Furthermore, indicated a strong interest (mandatory) professional development AI more comprehensive institutional support. Faculty who perceived design as important were likely to use AI-based tools their practice. However, relevance specificity ethics did not predict tool integration, which suggests an intention–behavior gap warrants further investigation factors such literacy structural conditions education. findings may serve basis discussion adequate support services learning AI.

Язык: Английский

Процитировано

0

Artificial Intelligence in Ethiopian School Curriculum: Educators' Practices, Challenges, and Recommendations DOI Creative Commons
Fitsum Gizachew Deriba, Ismaila Temitayo Sanusi

Computers and Education Open, Год журнала: 2025, Номер unknown, С. 100251 - 100251

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Investigating the Effect of Teacher Behaviors on the Level of Student Learning DOI Open Access

Ashurova Gulru Okhunova,

Nurullayeva Nodira,

Ashurxon Ismoilovna Matkarimova

и другие.

Cadernos de Educação Tecnologia e Sociedade, Год журнала: 2025, Номер 18(se1), С. 170 - 177

Опубликована: Янв. 14, 2025

The impact of teacher behavior on student learning is one the important goals education. And also shaped by changing our behavior. This change in from their teacher. Teachers' influence behavior, both spiritual and mental, occurs through words shapes relationship between student. Education can play an role learning. Most successful people owe successes to teachers. Some attribute failures inappropriate treatment There are various methods students. Considering this issue, teachers must strengthen themselves three areas communicate with students them. most basic human needs, ability solve problems a requirement for continuing life. purpose present study was investigate content knowledge teacher's improving applied terms its field descriptive correlational research implementation method. statistical population included 400 high school Samarkand 2024-2025, who were randomly selected all When have sufficient necessary expertise communication teaching skills, they use knowledge, education process, thus providing favorable environment further academic progress set has significant students' form profession standards. results analyzed using Pearson correlation. findings showed that teachers' how positive parts problem-solving approach: creativity, confidence solving problem, orientation approach, helplessness problem mastery; so, it be deduced his/her skill linked enhancing

Язык: Английский

Процитировано

0

Strategic goals for artificial intelligence integration among STEM academics and undergraduates in African higher education: a systematic review DOI Creative Commons
Oluwanife Segun Falebita, Petrus Jacobus Kok

Discover Education, Год журнала: 2024, Номер 3(1)

Опубликована: Сен. 13, 2024

Язык: Английский

Процитировано

4

Artificial Intelligence Tools Usage: A Structural Equation Modeling of Undergraduates’ Technological Readiness, Self-Efficacy and Attitudes DOI Creative Commons
Oluwanife Segun Falebita, Petrus Jacobus Kok

Journal for STEM Education Research, Год журнала: 2024, Номер unknown

Опубликована: Сен. 23, 2024

Язык: Английский

Процитировано

4

Fostering AI literacy in pre-service physics teachers: inputs from training and co-variables DOI Creative Commons

Aigerim Abdulayeva,

Назым Жанатбекова,

Yerlan S. Andasbayev

и другие.

Frontiers in Education, Год журнала: 2025, Номер 10

Опубликована: Фев. 20, 2025

Background While the transformative potential of artificial intelligence (AI) in education is widely recognized, rapid evolution these technologies necessitates a corresponding teacher education. This research sought to investigate impact targeted training program on pre-service physics teachers’ AI literacy levels and their subsequent attitudes intentions toward adoption future teaching. Methods A pre-post-test control group quasi-experimental study was implemented among students. 5 weeks long out-of-curriculum intervention designed that combined theoretical grounding with practical, problem-based learning activities, focus use various tools. Results There significant upswing performance post-intervention, showcasing effective facilitating participants’ understanding application educational contexts. Additionally, perceived usefulness found be partial mediator link between scores behavioral intention embed generative solutions into Conclusion The concludes incorporating comprehensive programs curricula essential for fostering technologically adept pedagogically innovatively minded teaching workforce. Further needed explore long-term effects practice student outcomes.

Язык: Английский

Процитировано

0

What drives Generation Z to choose green apparel? Unraveling the impact of environmental knowledge, altruism and perceived innovativeness DOI Creative Commons
Sushant Kumar Vishnoi, Smriti Mathur, Vaishali Agarwal

и другие.

International Journal of Sustainable Engineering, Год журнала: 2025, Номер 18(1)

Опубликована: Март 3, 2025

This study proposes to determine the influence of 'Environmental Knowledge' (EK), 'Altruism' (Atr), 'Consumer Confidence' (CC) and constructs 'Theory Planned Behaviour' (TPB) like Attitude" (Atd), 'Subjective Norm' (Sub) 'Perceived behavioural control' (Pbhc) on consumers' intention purchase 'Green Apparel Products' (GAPI). Moreover, moderating effect Innovativeness' (PInn) relationship between 'Attitude' (Sub), (Pbhc), 'EK', 'Atr' 'CC' was studied. To test research model hypothesis, a survey 349 Generation Z consumers (18–26 years) conducted. Cronbach's alpha 'Confirmatory Factor Analysis' (CFA) were used scale's reliability validity. 'Structural Equation Modelling' (SEM) validated given hypotheses. In this research, six hypotheses tested, it found that three showed direct relationship. Specifically, result SEM 'Atd', 'Sub' positively related GAPI. Also, formulated testing role 'PInn'. The results established 'PInn' moderated 'Sub', 'GAPI' significantly. provides novel framework explore consumer's 'GAPI'.

Язык: Английский

Процитировано

0

Exploring the Integration of AI in Education DOI
Laila Mohebi

Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 371 - 386

Опубликована: Март 13, 2025

This research paper focuses on the perceptions, challenges, and opportunities concerning employment of artificial intelligence (AI) in education, as perceived by in-service pre-service teachers United Arab Emirates (UAE). The study applies a comprehensive survey which is structured using Likert scale statements to investigate educators' knowledge AI technologies, their adoption teaching practices, benefits they perceive, professional development needs, barriers integration, perspectives for future, ethical considerations. preliminary data suggests an increasing tendency educators UAE implement improve personalized learning, reform assessment methods, automate paperwork. On other hand, number difficulties such lack training, inadequate resource access, privacy issues have been identified. Through analysis these factors, intends present insights into education within currently, suggest ways policy makers, technologists can develop environment effective use educating learning. great significance discussions educational technology because it shows unique personal aspects who are working very dynamic environment.

Язык: Английский

Процитировано

0

Researching China's Pre‐Service Teachers' Perceptions of AI Education for K‐12: An Elicited Metaphor Analysis DOI Open Access
Hu Xing, Gong Wen,

Martin Cortazzi

и другие.

European Journal of Education, Год журнала: 2025, Номер 60(2)

Опубликована: Март 23, 2025

ABSTRACT As Artificial Intelligence ( AI ) increasingly becomes integral to educational development, understanding how future educators perceive Education AIEd is crucial for the effective implementation of in school curricula embed technologies throughout age ranges kindergarten grade 12 (K‐12). The present study employed elicited metaphor analysis EMA ), an innovative qualitative method that elicits participants' conceptualisations through metaphors, examine perspectives pre‐service teachers China towards K‐12. We analysed a database 463 metaphors with entailments, obtained via online questionnaire returned by 265 three Normal Universities China. Seven major conceptual themes were identified: ‘Guidance’, ‘Growth’, ‘Resources’, ‘Discovery’, ‘Opportunity’, ‘Challenge’ and has ‘Dual Nature’ exerting both positive negative influences on education. Sentiment revealed teachers' overall attitudes as (62%), (12%) ambiguous or neutral (26%). It was also found among background factors, attitudinal differences identified between those who have received exposure classrooms not. These seem indicative cohort educators' opinions regarding findings could inform teacher training policymaking, highlighting clear policies are needed regulate use classrooms, education should be progressively integrated into K‐12 curricula, existing expertise acknowledged earlier their training, they mediators professional colleagues.

Язык: Английский

Процитировано

0