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

The impact of pedagogical beliefs on the adoption of generative AI in higher education: predictive model from UTAUT2 DOI Creative Commons
Julio Cabero Almenara, Antonio Palacios‐Rodríguez, María Isabel Loaiza Aguirre

и другие.

Frontiers in Artificial Intelligence, Год журнала: 2024, Номер 7

Опубликована: Окт. 17, 2024

Artificial Intelligence in Education (AIEd) offers advanced tools that can personalize learning experiences and enhance teachers' research capabilities. This paper explores the beliefs of 425 university teachers regarding integration generative AI educational settings, utilizing UTAUT2 model to predict their acceptance usage patterns through Partial Least Squares (PLS) method. The findings indicate performance expectations, effort expectancy, social influence, facilitating conditions, hedonic motivation all positively impact intention behavior related use AIEd. Notably, study reveals with constructivist pedagogical are more inclined adopt AIEd, underscoring significance considering attitudes motivations for effective technology education. provides valuable insights into factors influencing decisions embrace thereby contributing a deeper understanding contexts. Moreover, study's results emphasize critical role orientations utilization technologies. Constructivist educators, who student-centered active engagement, shown be receptive incorporating AIEd compared transmissive counterparts, focus on direct instruction information dissemination. distinction highlights need tailored professional development programs address specific needs different teaching philosophies. Furthermore, comprehensive approach, various dimensions model, robust framework analyzing

Язык: Английский

Процитировано

2

Unlocking educational frontiers: Exploring higher educators' adoption of google workspace technology tools for teaching and assessment in Lesotho dynamic landscape DOI Creative Commons
Musa Adekunle Ayanwale, Rethabile Rosemary Molefi,

Shata Liapeng

и другие.

Heliyon, Год журнала: 2024, Номер 10(9), С. e30049 - e30049

Опубликована: Апрель 24, 2024

The rapid integration of google workspace tools in higher education has the potential to transform education. To fully realize this potential, it is crucial understand factors that influence educators' attitudes and intentions toward adopting these tools. However, current research mainly focused on specific contexts, highlighting need for a comprehensive examination different educational settings. This study delves into complexities Technology Acceptance Model expands its scope by considering additional external variables. Data was collected through an online survey, with 396 educators sharing their perspectives regarding We used composite-based structural equation modeling, implemented SEMinR package R programming language, rigorously assess measurement models constructs. study's findings reveal significant relationships among shape perceptions behaviors relation Notably, all paths show influence, except those connecting social perceived usefulness ease use attitude. Additionally, identifies moderating impacts gender, which do not significantly contribute observed relationships. contributes substantially growing knowledge technology adoption Furthermore, offers valuable insights can benefit educators, institutions, policymakers who want leverage teaching assessment. Lastly, provides clear directions future area.

Язык: Английский

Процитировано

1

The interaction between teachers' efficacy and students' attitudes toward effective learning in state universities and colleges of the Philippines DOI Open Access
Kristian Paul M. Lazo

International Journal of ADVANCED AND APPLIED SCIENCES, Год журнала: 2024, Номер 11(7), С. 75 - 86

Опубликована: Июль 1, 2024

The role of classroom teachers significantly influences student learning and is essential for the success or failure an educational system. This study assessed how teacher characteristics, self-confidence in teaching, attitudes toward relate to each other State Universities Colleges (SUCs) Region 02. Teacher effectiveness seen as a crucial element education that can positively affect academic achievement. research included 348 faculty members 646 students from four universities, collecting data through modified questionnaire via online face-to-face surveys. It found notable differences viewed their own teaching confidence based on which abilities motivation, managing classroom, handling behavior, methods, motivational techniques. also noted significant variations towards learning, classified by nature, openness, expectations, anxiety about learning. was observed methods highlight understanding rather than memorization directly link positive suggesting not just innate ability. indicates need enhance using various approaches platforms.

Язык: Английский

Процитировано

1

AI in Teacher Education: An Introductory Training Session for Pre-service Teachers Involving Microsoft Copilot DOI
Leo A. Siiman

Lecture notes in computer science, Год журнала: 2024, Номер unknown, С. 231 - 236

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

1

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

Процитировано

1