Examining the Association between Pre-service Teachers' Self-efficacy and TPACK Competencies in Online Internships under COVID-19
2023 11th International Conference on Information and Education Technology, ICIET 2023
; : 354-359, 2023.
Article
in English
| Scopus | ID: covidwho-20235485
ABSTRACT
During the COVID-19 pandemic, pre-service teachers must devote time and effort to familiarizing themselves with the online educational internship system and adapting their pedagogy to the new internship mode that integrates information and communication technologies. Under such a circumstance, teachers' technological pedagogical content knowledge (TPACK) plays a critical role in making them competent in online internships, and their self-efficacy can facilitate their TPACK development. Based on the data collected from 202 pre-service teachers during the COVID-19 pandemic in China through online surveys, this study investigated the association between their self-efficacy and their TPACK during the online internship. The results of multiple regression analyses suggested that pre-service teachers' personal and general teaching efficacies significantly predicted TPACK competencies to varying degrees. To be specific, pre-service teachers' personal teaching efficacy significantly and positively predicted all the TPACK dimensions;meanwhile, GTE only significantly and positively predicted Pedagogical Knowledge (PK), Technological Content Knowledge (TCK), Technological Pedagogical Knowledge (TPK), and Technological Pedagogical Content Knowledge (TPCK). Also, the conclusions, implications, and suggestions for theory and practice were discussed. © 2023 IEEE.
COVID-19; online educational internship; self-efficacy; TPACK competencies; E-learning; Regression analysis; Information and Communication Technologies; Knowledge development; Pedagogical knowledge; Preservice teachers; Self efficacy; Teachers'; Teaching efficacies; Technological pedagogical content knowledge; Technological pedagogical content knowledge competency
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Observational study
/
Prognostic study
Language:
English
Journal:
2023 11th International Conference on Information and Education Technology, ICIET 2023
Year:
2023
Document Type:
Article
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