Designing a Novice Teacher Training Program for Project-Based Learning

Main Article Content

Ni Clark
Sungwon Shin

Abstract

This design case highlights how two instructional designers initiated, designed, and implemented a K-12 novice teacher training program to address three known challenges teachers face when understanding, designing, and implementing project-based learning (PBL). The design framework comprised three areas: trainees, training program design, and trainees’ work environment. The training was delivered in three phases: teachers as learners, teachers as enactors, and teachers as independent designers. Over ten weeks of design implementation in the fall semester of the 2020-2021 school year, we learned three design elements that led to successful training: the phase-based design, the three-area framework, and the project’s management documents. We also encountered challenges that hindered the transfer of training as novice teachers attempted to integrate PBL in their classrooms: teachers’ lack of classroom management skills, heavy workload, and the impact of COVID-19. In reflection, we plan to improve our design by embedding training for classroom management, adopting multidisciplinary design if feasible, and boosting longer mentorship.

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Article Details

How to Cite
Clark, N., & Shin, S. (2024). Designing a Novice Teacher Training Program for Project-Based Learning. International Journal of Designs for Learning, 15(3), 79–93. https://doi.org/10.14434/ijdl.v15i3.37108
Section
Traditional Design Cases
Author Biographies

Ni Clark, Baotou Teacher College

Ni Clark is the Lecturer of the Teacher Education Department at the Baotou Teachers’ College of China. Areas of expertise are teacher training, student learning outcomes, and technology application in project-based learning.

Sungwon Shin, Texas Tech University

Sungwon Shin is an Associate Professor of Instructional Technology at Texas Tech University in the U.S. Her interests center around instructional design principles, diverse instructional strategies and technology integration that support learning of complex phenomena.