Acceptance of artificial intelligence among pre-service teachers: a multigroup analysis
Friedrich-Alexander-Universität Erlangen-Nürnberg
Abstract
Abstract Over the past few years, there has been a significant increase in the utilization of artificial intelligence (AI)-based educational applications in education. As pre-service teachers’ attitudes towards educational technology that utilizes AI have a potential impact on the learning outcomes of their future students, it is essential to know more about pre-service teachers’ acceptance of AI. The aims of this study are (1) to discover what factors determine pre-service teachers’ intentions to utilize AI-based educational applications and (2) to determine whether gender differences exist within determinants that affect those behavioral intentions. A sample of 452 pre-service teachers (325 female)…
Citation impact
- FWCI
- 173.98
- Percentile
- 100%
- References
- 84
Authors
5- CZChengming ZhangCorresponding
Friedrich-Alexander-Universität Erlangen-Nürnberg
- JSJessica Schießl
Friedrich-Alexander-Universität Erlangen-Nürnberg
- LPLea Plößl
Friedrich-Alexander-Universität Erlangen-Nürnberg
- FHF. Hofmann
Friedrich-Alexander-Universität Erlangen-Nürnberg
- MGMichaela Gläser‐Zikuda
Friedrich-Alexander-Universität Erlangen-Nürnberg
Topics & keywords
- Psychology
- German
- Structural equation modeling
- Usability
- Technology acceptance model
- Affect (linguistics)
- Service (business)
- Anxiety
- Quality Education