2026 ASEE Annual Conference & Exposition

Poster: Zone of Self-Efficacy Development (ZSED) Model: A Framework for Teacher Growth in Community-Relevant Engineering Design (CRED) Implementation.

Presented at Student Division (STDT) Poster Session

Abstract

The poster introduces the Zone of Self-Efficacy Development (ZSED). This conceptual framework aims to explain how teachers build confidence to implement new classroom instructional approaches through professional development (PD) and applies it to PD for Community-Relevant Engineering Design (CRED). ZSED fills a gap: PD often emphasizes instructional frameworks and content, whereas the phased development of teacher self-efficacy necessary for sustained classroom implementation remains underexplored. Drawing on an integrative synthesis of established learning theories, the framework is theoretically grounded in Bandura’s social cognitive self-efficacy theory, Vygotsky’s Zone of Proximal Development, and Kolb’s experiential learning theory.

ZSED conceptualizes teachers’ self-efficacy development as a progression across five iterative zones: Unfamiliarity, Engagement, Integration, Application, and Mastery. Each zone represents a distinct set of awareness, confidence-building, autonomy, and instructional agency, rather than a separate PD session. Bandura’s theory explains shifts in efficacy beliefs across zones; Vygotsky’s ZPD informs the graduated scaffolding and social support required at early stages; and Kolb’s experiential learning theory justifies the necessity of classroom-based enactment in later zones. The framework was developed through a comparative analysis of these theories and their alignment with patterns reported in CRED and STEM PD literature.

This paper presents ZSED as a conceptual and design framework rather than a validated model. Its primary contributions are to guide PD designers in aligning support with teacher developmental states and to provide researchers with a structured lens for studying teacher learning in engineering education. Implications for empirical validation, replication, and future mixed-methods studies are discussed. The framework is intentionally presented as provisional to invite critique, refinement, and collaborative empirical testing.

Authors
  1. Adesola Samson Adetunji University of North Dakota [biography]
  2. Dr. Frank M. Bowman University of North Dakota [biography]
  3. Julie Robinson University of North Dakota [biography]
  4. Adesikeola Olateru-Olagbegi University of North Dakota [biography]
Note

The full paper will be available to logged in and registered conference attendees once the conference starts on June 21, 2026, and to all visitors after the conference ends on June 24, 2026