Acceptance of Educational Artificial Intelligence by Teachers and Its Relationship with Some Variables and Pedagogical Beliefs
Bibliographic Data
| ID | 22045429 |
|---|---|
| Authors | Julio Cabero-Almenara (0000-0002-1133-6031, Universidad de Sevilla), Antonio Palacios-Rodríguez (0000-0002-0689-6317, Universidad de Málaga, corresponding author), María Isabel Loaiza (0000-0002-5217-1325, Universidad Técnica Particular de Loja), María del Rosario de Rivas-Manzano (Department of Philosophy Arts and Humanities, Private Technical University of Loja (UTPL), Loja 110107, Ecuador) |
| Year | 2024 |
| Volume | 14 |
| Issue | 7 |
| Pages | 740 |
| Publication date | 2024-07-06 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Education Sciences (JOURNAL) |
| Journal identifiers | ISSN: 2227-7102 • E-ISSN: 2227-7102 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/educsci14070740 |
| OpenAlex | W4400408740 |
| Language | EN |
| Citations received | 17 |
| References cited | 39 |
This study explores teachers’ acceptance of artificial intelligence in education (AIEd) and its relationship with various variables and pedagogical beliefs. Conducted at the Universidad Técnica Particular de Loja (UTPL, Ecuador), the research surveyed 425 teachers across different disciplines and teaching modalities. The UTAUT2 model analyzed dimensions like performance expectations, effort expectations, social influence, facilitating conditions, hedonic motivation, usage behavior, and intention to use AIEd. Results showed a high level of acceptance among teachers, influenced by factors like age, gender, and teaching modality. Additionally, it was found that constructivist pedagogical beliefs correlated positively with AIEd adoption. These insights are valuable for understanding AIEd integration in educational settings
Mathematics education · Modalities · Social science · Sociology · Digital literacy in education · Educational Innovations and Technology · Online Learning and Analytics · Psychology
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| Unique citing works | 17 |
|---|---|
| Citations per year | 8,5 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 17 |