Stress-Strain relations are graphical measures to determine the mechanical properties and morphology of engineering materials. In engineering universities, stress-strain curves are introduced in the introductory course of materials science for the mechanical, metallurgical and civil engineers. Stress-strain diagrams can be easily plotted from experimental data obtained from the uniaxial tensile testing of specimens made as per standards of engineering material. However, understanding of the metal’s deformation, dislocation behaviour, as well as the microstructure, is considered challenging. Common teaching aids present stress-strain diagrams as a working tool but does not explain how to relate various attributes like microstructural characteristics and mechanical behaviour with its engineering properties. This accumulated difficulty leads to a decreased level of motivation among first-year engineering students. The article presents CC maps an instructional strategy to gain sustainable knowledge on how to read stress-strain characteristics, interpret engineering properties and promote cognitive transfer in learning. The results obtained indicated that intervention of CC maps has improved conceptual understanding, learning interest and performance of students in the class.
The COVID-19 global pandemic has caused a profound change in the teaching pedagogies and assessment strategies in engineering curricula worldwide. Concerning this, the article examines the role of animation-enhanced concept-in-context maps as a learning resource for the introductory materials science course in an online flipped format. The research was conducted on second-year mechanical engineering undergraduates. The methodology used two-group quasi-experimental design where the experimental group received animated concept-in-context maps as a learning resource, in contrast to the control group, which obtained static concept-in-context maps. The student's understanding of the topic was evaluated from their performance in pre-quiz and post-quiz scores. The preliminary results of the pilot study turned out to be in favor of animation-assisted mapping; further research is in process, and in-depth experimentation has been planned.
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