Concordia University


Master Thesis Defense - March 27, 2018: Investigation of Assessment Methods for Measuring the Effectiveness of Student Design Learning

March 14, 2018


Shahriar Taheri

Tuesday, March 27, 2018 at 10:00 a.m.
Room EV002.184

You are invited to attend the following M.A.Sc. (Quality Systems Engineering) thesis examination.

Examining Committee

Dr. C. Wang, Chair
Dr. Y. Zeng, Supervisor
Dr. A. Awasthi, CIISE Examiner
Dr. H. Ge, External Examiner (BCEE)


A deep learning approach is focused on analyzing ideas, and creating a strong connection between them and prior knowledge to solve the real-life problems. A Problem-Based Learning (PBL), considered as deep learning approach, is a widely-adopted educational strategy designed to teach students to use their engineering knowledge to solve the real-life engineering problems. The goal of this thesis is to investigate assessment methods to measure the effectiveness of students’ learning under a flying house design session as a case study. To do so, assessment criteria (knowledge, skills, and affect) are determined by using Environment Based Design (EBD) as a design methodology. To achieve the goal, four assessment methods (i.e., Study Process Questionnaire (SPQ), Approaches and study skills Inventory for students (ASSIST), Concept Mapping Technique (CMT) and Recursive Object Model (ROM)) have been investigated. Through the investigation, two of them (SPQ and CMT) are chosen based on usability, design, and effectiveness for the case study. Moreover, a ROM-based CMT is proposed to improve the CMT design.


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