This hybrid, practice-oriented course equips postgraduate teacher-trainees in Industrial Technology with the skills to design, conduct, and report rigorous educational research grounded in workshop and laboratory settings. At the end of the course, you will be prepared to:
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formulate researchable problems and align them with appropriate quantitative, qualitative, or mixed-methods designs;
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develop and pilot robust data-collection instruments (surveys, observation checklists, interview guides) and establish their validity and reliability;
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perform descriptive and inferential statistics in SPSS and thematic coding with CAQDAS tools, interpreting outputs accurately; and
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craft an APA-compliant mini-research report suitable for journal submission or TETFUND proposals.
Learning activities blend mini-lectures, hands-on analytics labs, peer critique workshops, and self-paced quizzes, with completion badges marking your progress. Assessments include an instrument validation portfolio, data-analysis tasks, and a capstone research report. Successful participants will leave with a ready-to-implement study and the confidence to mentor others in evidence-based practice within industrial-technology education.