TY - DATA T1 - Datasets to identify how jigsaw classrooms improve peer facilitated tutorials in materials science PY - 2022/12/21 AU - David Obada AU - Abdu Salihi AU - Obinna A. Osuchukwu AU - Ibrahim Abdullahi AU - Simeon Abolade AU - Akinlolu Akande AU - Stefan Csaki AU - David Dodoo-Arhin UR - https://data.4tu.nl/articles/dataset/Datasets_to_identify_how_jigsaw_classrooms_improve_peer_facilitated_tutorials_in_materials_science/21717338/1 DO - 10.4121/21717338.v1 KW - CACPLA Pedagogy KW - Engineering Education KW - Computational Materials Science KW - Jigsaw Learning Approach N2 -

 In this study, the jigsaw method is abstracted from the collaborate section of the new pedagogy- CACPLA (Communicate, Active, Collaborate, Problem-based Solving, Learning and Assessment), and assisted with tutorials and peer facilitated studies on elasticity. The broad subject was sub-divided into subsections such as: stress and strain in engineering materials, elasticity hysteresis, Hooke's law, stress tensors, bulk modulus, modulus of elasticity, and young modulus. Based on these subtopics, each of the 7 sub-groups were entrusted with creating scenarios for solving actual problems. The case-studies on how the collated jigsaw pieces were useful to support the students and create in-depth knowledge on the subject matter are embeded in the uploaded datasets.

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