Datasets to identify how jigsaw classrooms improve peer facilitated tutorials in materials science

doi:10.4121/21717338.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/21717338
Datacite citation style:
David Obada; Abdu Salihi; Obinna A. Osuchukwu; Ibrahim Abdullahi; Simeon Abolade et. al. (2022): Datasets to identify how jigsaw classrooms improve peer facilitated tutorials in materials science. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/21717338.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

 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.

history
  • 2022-12-21 first online, published, posted
publisher
4TU.ResearchData
format
docx; xls
funding
  • Irish Research Council and Africa Centre of Excellence on New Pedagogies in Engineering Education, Ahmadu Bello University, Zaria
organizations
Ahmadu Bello University, Department of Mechanical Engineering, Zaria, Nigeria.

DATA

files (3)