Technological self-efficacy and sense of coherence: Key drivers in teachers' AI acceptance and adoption
This study investigates the factors influencing teachers within the Israeli education system toward the adaptations of artificial intelligence (AI) in teaching by examining the roles of technological self-efficacy (TSE) and a sense of coherence (SOC). Drawing on the Technology Acceptance Model (TAM)...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
|
| Series: | Computers and Education: Artificial Intelligence |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666920X25000177 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1823856668626124800 |
|---|---|
| author | Asmahan Masry Herzallah Rania Makaldy |
| author_facet | Asmahan Masry Herzallah Rania Makaldy |
| author_sort | Asmahan Masry Herzallah |
| collection | DOAJ |
| description | This study investigates the factors influencing teachers within the Israeli education system toward the adaptations of artificial intelligence (AI) in teaching by examining the roles of technological self-efficacy (TSE) and a sense of coherence (SOC). Drawing on the Technology Acceptance Model (TAM), a sample of 200 Arab and Jewish teachers in Israel completed online questionnaires. The findings indicated a positive attitude towards AI among teachers. We found a significant positive correlation between perceived usefulness, perceived ease of use, and positive attitude towards AI. TSE fully mediated the relationship between attitude towards AI and adoption intentions AI, while a SOC partially mediated the relationship between TSE and teachers' attitude towards AI. The findings underscore the importance of developing TSE and fostering a SOC among teachers as part of the AI implementation process in the education system.The findings offer a new understanding of AI technology adoption processes in education by incorporating psychological variables into the TAM framework and providing practical insights for decision-makers in the Israeli education system and beyond. |
| format | Article |
| id | doaj-art-690c8cf7976240219d8c57ef622a4c8a |
| institution | Kabale University |
| issn | 2666-920X |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Computers and Education: Artificial Intelligence |
| spelling | doaj-art-690c8cf7976240219d8c57ef622a4c8a2025-02-12T05:32:59ZengElsevierComputers and Education: Artificial Intelligence2666-920X2025-06-018100377Technological self-efficacy and sense of coherence: Key drivers in teachers' AI acceptance and adoptionAsmahan Masry Herzallah0Rania Makaldy1Al Qasemi Academic College and The Hebrew University of Jerusalem, Israel; Corresponding author.Alshafea School Baqa- Al-Gharbia, IsraelThis study investigates the factors influencing teachers within the Israeli education system toward the adaptations of artificial intelligence (AI) in teaching by examining the roles of technological self-efficacy (TSE) and a sense of coherence (SOC). Drawing on the Technology Acceptance Model (TAM), a sample of 200 Arab and Jewish teachers in Israel completed online questionnaires. The findings indicated a positive attitude towards AI among teachers. We found a significant positive correlation between perceived usefulness, perceived ease of use, and positive attitude towards AI. TSE fully mediated the relationship between attitude towards AI and adoption intentions AI, while a SOC partially mediated the relationship between TSE and teachers' attitude towards AI. The findings underscore the importance of developing TSE and fostering a SOC among teachers as part of the AI implementation process in the education system.The findings offer a new understanding of AI technology adoption processes in education by incorporating psychological variables into the TAM framework and providing practical insights for decision-makers in the Israeli education system and beyond.http://www.sciencedirect.com/science/article/pii/S2666920X25000177Artificial intelligenceEducationTAM modelTechnological self-efficacySense of coherenceteacher attitudes |
| spellingShingle | Asmahan Masry Herzallah Rania Makaldy Technological self-efficacy and sense of coherence: Key drivers in teachers' AI acceptance and adoption Computers and Education: Artificial Intelligence Artificial intelligence Education TAM model Technological self-efficacy Sense of coherence teacher attitudes |
| title | Technological self-efficacy and sense of coherence: Key drivers in teachers' AI acceptance and adoption |
| title_full | Technological self-efficacy and sense of coherence: Key drivers in teachers' AI acceptance and adoption |
| title_fullStr | Technological self-efficacy and sense of coherence: Key drivers in teachers' AI acceptance and adoption |
| title_full_unstemmed | Technological self-efficacy and sense of coherence: Key drivers in teachers' AI acceptance and adoption |
| title_short | Technological self-efficacy and sense of coherence: Key drivers in teachers' AI acceptance and adoption |
| title_sort | technological self efficacy and sense of coherence key drivers in teachers ai acceptance and adoption |
| topic | Artificial intelligence Education TAM model Technological self-efficacy Sense of coherence teacher attitudes |
| url | http://www.sciencedirect.com/science/article/pii/S2666920X25000177 |
| work_keys_str_mv | AT asmahanmasryherzallah technologicalselfefficacyandsenseofcoherencekeydriversinteachersaiacceptanceandadoption AT raniamakaldy technologicalselfefficacyandsenseofcoherencekeydriversinteachersaiacceptanceandadoption |