%0 Generic
%A Obada, David
%A Salihi, Abdu
%A Osuchukwu, Obinna A.
%A Abdullahi, Ibrahim
%A Abolade, Simeon
%A Akande, Akinlolu
%A Csaki, Stefan
%A Dodoo-Arhin, David
%D 2022
%T Datasets to identify how jigsaw classrooms improve peer facilitated tutorials in materials science
%U https://data.4tu.nl/articles/dataset/Datasets_to_identify_how_jigsaw_classrooms_improve_peer_facilitated_tutorials_in_materials_science/21717338/1
%R 10.4121/21717338.v1
%K CACPLA Pedagogy
%K Engineering Education
%K Computational Materials Science
%K Jigsaw Learning Approach
%X <p> In this study, the jigsaw method is abstracted from the <em>collaborate</em> 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.</p>
%I 4TU.ResearchData