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Level of Learning Motivation Student Based on ARCS Model on Geographic Subject

IOP conference series. Earth and environmental science, 2019-06, Vol.286 (1), p.12010 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2019. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1755-1307 ;EISSN: 1755-1315 ;DOI: 10.1088/1755-1315/286/1/012010

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  • Title:
    Level of Learning Motivation Student Based on ARCS Model on Geographic Subject
  • Author: Jamil, M M ; Ningrum, E ; Yani, A
  • Subjects: Geography ; Learning ; Motivation
  • Is Part Of: IOP conference series. Earth and environmental science, 2019-06, Vol.286 (1), p.12010
  • Description: Motivation is one of the factors that participate in determining learning outcomes. Motivation that comes from within the learners is often a neglected aspect of the learning strategy. The problem is how the level of learning motivation student on geography subjects at Sumur Bandung Islamic Boarding School based on attention, relevance, confidence, and satisfaction. The method used in this research is survey methodThe sample consisted of 180 students selected from Social Science Class using stratified sample technique. The variables in this study are learning motivation that is limited to attention, relevance, confidence, satisfaction. The instrument used is a standard IMMS questionnaire applied from the ARCS learning motivation design. This research shows that the learning motivation, attention, relevance level of student based on ARCS model on geography subject is quite. Based on the results of research confidence to be one part in the motivation to learn that needs to be improved. Confidence can be influenced by external and internal factors. To improve the motivation to learn, student need a balance between factors Attention, Relevance, Confidence, and Satisfaction.
  • Publisher: Bristol: IOP Publishing
  • Language: English
  • Identifier: ISSN: 1755-1307
    EISSN: 1755-1315
    DOI: 10.1088/1755-1315/286/1/012010
  • Source: IOP Publishing Free Content
    IOPscience (Open Access)
    Alma/SFX Local Collection
    ProQuest Central
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