PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 17, 2026Educational Technology Research and Development0 citationsOpen Access

From sources of self-efficacy to technology integration intentions: a new social cognitive model

SPSerkan PerkmenBalıkesir UniversitySDSara DexterUniversity of Virginia

Key Points

  • The study aims to develop a scale to measure self-efficacy sources and to propose a social cognitive model explaining preservice teachers' technology integration intentions.
  • Developed the Sources of Educational Technology Self-Efficacy Scale (SETSES) to assess self-efficacy dimensions.
  • Collected data from 144 preservice teachers in an introductory educational technology course.
  • Conducted psychometric analyses and path analysis to validate the model and measure relationships among variables.
  • SETSES demonstrated good validity and reliability, with high explanatory power for technology integration intentions.
  • Path analysis revealed mastery experiences significantly influenced self-efficacy and technology integration intentions.
  • The model highlights the interconnectedness of self-efficacy, outcome expectations, and interests among preservice teachers.

Abstract

Abstract Grounded in social cognitive theory, this study had two purposes. First, it developed and validated the Sources of Educational Technology Self-Efficacy Scale (SETSES) to measure preservice teachers’ perceptions of the four sources of self-efficacy—mastery experiences, vicarious information, verbal persuasion, and emotional arousal—within educational technology coursework. Second, it integrated sources of self-efficacy with established social cognitive variables, including self-efficacy, outcome expectations, and interests, to propose and test a new social cognitive model explaining preservice teachers’ intentions for technology integration. Data were collected from 144 preservice teachers enrolled in an introductory educational technology course. Psychometric analyses demonstrated that the SETSES exhibited good validity and reliability, indicating strong psychometric properties. Path analysis and hierarchical regression revealed that the proposed Social Cognitive Model of Technology Integration had high explanatory power for intentions for technology integration and uncovered complex relationships among the social cognitive variables, with mastery experiences playing a central role as a source of self-efficacy. Together, the validated scale and the proposed model extend social cognitive theory and offer important implications for the design of educational technology courses aimed at strengthening preservice teachers’ self-efficacy, outcome expectations, interests, and intentions for technology integration.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Perkmen et al. (2026) studied this question.

synapsesocial.com/papers/6a095b1b7880e6d24efe0d08https://doi.org/10.1007/s11423-026-10623-0
Ask AI
Helpful
Bookmark
Share
View Full Paper