Detection And Assessment Of Quality Indicators Of Visual Based Learning Material In Engineering Education Programs For Grades 7 12 | Zendy

Petros Katsioloudis | Zendy

Open Access

Detection And Assessment Of Quality Indicators Of Visual Based Learning Material In Engineering Education Programs For Grades 7 12

Author(s) -

Petros Katsioloudis

Publication year - 2020

Publication title -

2009 annual conference and exposition proceedings

Language(s) - English

Resource type - Conference proceedings

DOI - 10.18260/1-2--4530

Subject(s) - computer science , quality (philosophy) , engineering education , mathematics education , quality assessment , artificial intelligence , machine learning , engineering management , psychology , engineering , philosophy , epistemology

The purpose of this study was to detect the quality indicators of visual-based learning material in technology education for grades 7-12. A three-round modified Delphi method was used to answer the following research questions: RQ1: What indicators should quality visual-based learning material in technology education have to be effective and efficient in transmitting information for grades 7-12? RQ2: What are the indicators of the learner’s characteristics that impact the selection of visual-based learning material in technology education for grades 7-12?

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