Investigation of Learning Behaviors and Their Effects to Learning Achievement Using Ubiquitous-Physics App

Siska Wati Dewi Purba, Wu Yuin Hwang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

This study aimed to investigate the relationship between learning behaviors (hypothesis-making, interpreting graphs, applying formula, conclusion-making and conceptual understanding) and learning achievement on vocational students who use our developed Ubiquitous-Physics (U-Physics) to learn simple pendulum in the experiment. Thus, this study conducted an experiment with participating second grade female vocational high school students who are less interests in physics, while hopefully using U-Physics in the physical experiment can motivate their interests and help their learning in physics. Yet, this study explored participants' perceptions towards the U-Physics. The results showed that there were significant correlation among hypothesis-making, interpreting graphs, applying formula, conclusion-making, conceptual understanding, and post-test. We also found that interpreting graphs and conceptual understanding were the two most important factors to affect learning achievement. In addition, students perceived that U-Physics was easy to use and useful for learning physics. Therefore, this study is strongly suggested experimental procedure should ask learners to interpret physics phenomena by graphs. Besides that, Teachers and researchers also should design physics learning activities to improve students' multiple representation skills supported by U-Physics system and utilize advanced features of mobile devices such as acceleration sensors, gyroscope, light sensors and GPS for learning physics.

Original languageEnglish
Title of host publicationProceedings - IEEE 17th International Conference on Advanced Learning Technologies, ICALT 2017
EditorsRonghuai Huang, Radu Vasiu, Kinshuk, Demetrios G Sampson, Nian-Shing Chen, Maiga Chang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages446-450
Number of pages5
ISBN (Electronic)9781538638705
DOIs
StatePublished - 3 Aug 2017
Event17th IEEE International Conference on Advanced Learning Technologies, ICALT 2017 - Timisoara, Romania
Duration: 3 Jul 20177 Jul 2017

Publication series

NameProceedings - IEEE 17th International Conference on Advanced Learning Technologies, ICALT 2017

Conference

Conference17th IEEE International Conference on Advanced Learning Technologies, ICALT 2017
Country/TerritoryRomania
CityTimisoara
Period3/07/177/07/17

Keywords

  • conceptual understanding
  • interpreting graphs
  • learning behaviors
  • U-Physics

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