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Production-Based Learning Model

Product or Programme · All products and programmes
Evidence · 5 claims (5 for) · 1 study (1 causal), q2 · 0 of 1 report an effect size · 5 claims rest on one study

Description

A named vocational-education instructional framework developed by the article’s authors that organizes lessons around a nine-step production cycle for solving authentic product and troubleshooting problems.

Components

  • Nine-step production-cycle lesson pattern from problem identification to assessment: This pattern organises vocational lessons as a production cycle in which unstructured troubleshooting problems trigger learning. Students move through nine ordered steps, from identifying and defining product problems, generating and selecting alternative solutions, and designing solving techniques, through ordering work contracts, scheduling, executing orders, and quality control, to assessment. The article states the syntax's novelty "contains the syntax of the learning model to st rengthen the aspects of metacognitive and critical thinking skills needed to solve troubleshooting problems", and the steps are supported by model books, modules, and manuals. (Maksum et al. (2022))

Claims

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Key Sources

  • Maksum, H., Yuvenda, D. & Purwanto, W. (2022). Improvement of metacognitive and critical thinking skills through development of the a 'Teaching Factory Based on Troubleshooting' (TEFA-T) Model in automotive vocational learning. Journal of Turkish Science Education, 19(3), 1015-1036. https://doi.org/10.36681/tused.2022.161
Page metadata
Field Value
type product
id production-based-learning-model
title Production-Based Learning Model
description A named vocational-education instructional framework developed by the article’s authors that organizes lessons around a nine-step production cycle for solving authentic product and troubleshooting problems.
status review
moved_from design/tefa-t-nine-step-troubleshooting-syntax-pattern
product_kind framework
generated by process:sweep-kinds on 2026-10-10
trust unverified — no one has confirmed this page's content
sources 1 — maksum-2022

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