Learning Science and Mathematics (LSM) Journal Vol.1, Issue 15, pp 1-15
The Effectiveness of Predict-Observe-Explain-Animation (POE-A) Strategy to Overcome Students’ Misconceptions about Electric Circuits Concepts
Fathiah Mohd Tahir, Nurfaradilla Mohamad Nasri & Lilia Halim
Received first draft 17 January 2020. Received reports from first reviewer (26 March); second reviewer (6 April). Received revised draft 1 October
Accepted: 1 November 2020.
Published: 30 December 2020.
Abstract
This study aims to determine the effectiveness of Predict-Observe-Explain-Animation (POE-A) strategy to overcome students’ misconceptions about electric circuits concepts. POE-A strategy aims to trigger students’ conceptual change and improve their understanding about electric circuits’ concepts. This pre-experimental study involving 43 Form Four students was conducted at a secondary school in Muar, Johor. In this study, pre- and posttest designs were used to identify and compare the students’ misconceptions level before and after implementation of POE-A strategy. The diagnostic test DIRECT version 1.0 was adapted as an instrument for this study to determine the students’ misconceptions level about electric circuits concepts through pre- and posttest scores. Findings show that the electrical current domain recorded the highest increase of 26% through pretest and posttest comparison, followed by the physical aspect of the circuit domain and energy domain at 24% and 14% increment respectively. The voltage domain showed the least increment at only 14%. Percentage increase in posttest score indicated that students’ misconceptions level declined after the intervention of POE-A strategy. Based on the findings of this study, it is arguable that the POE-A strategy can overcome students’ misconceptions about electric circuits’ concepts. In addition, this strategy can help students to enhance their understanding of the concepts.
Keywords: Misconception; Electric circuits; Predict-Observe-Explain-Animation (POE-A) strategy; Conceptual change
© 2020 SEAMEO RECSAM LSM Journal
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