Enhancing the Use of Digital Model with Team-Based Learning Approach in Science Teaching - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2014

Enhancing the Use of Digital Model with Team-Based Learning Approach in Science Teaching

Abstract

This study describes the introduction of digital models and team-based learning (TBL) for teaching science; in this case, the teaching of the magnetic induction portion of a physics class. This new approach required students’ active construction of knowledge as both an individual and team. Students were asked to begin their studies through the viewing of digital models in videos through an online learning portal. Camtasia Studio was utilized in creating video contains class material and experiments along with the teacher’s audio explanation. The TBL approach was implemented as the instructional strategy during in-class sessions. A portion of the classroom time was spent ensuring that students master the class material and a vast majority of class time was used for team assignments that focused on problem-based learning and simulating complex questions that the student would face as the course developed. The utilization of digital models and TBL improved the students’ ability to learn independently and to present their ideas coherently, transforming them into more engaged, independent learners, not just in science learning but also in their overall academic experience.
Fichier principal
Vignette du fichier
978-3-642-55032-4_26_Chapter.pdf (310.99 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01397217 , version 1 (15-11-2016)

Licence

Attribution

Identifiers

Cite

Bens Pardamean, Teddy Suparyanto, . Suyanta, Eryadi Masli, Jerome Donovan. Enhancing the Use of Digital Model with Team-Based Learning Approach in Science Teaching. 2nd Information and Communication Technology - EurAsia Conference (ICT-EurAsia), Apr 2014, Bali, Indonesia. pp.267-276, ⟨10.1007/978-3-642-55032-4_26⟩. ⟨hal-01397217⟩
130 View
98 Download

Altmetric

Share

Gmail Facebook X LinkedIn More