• DocumentCode
    3585238
  • Title

    Enhancing motivational factors through personalized learning module

  • Author

    Abu Samah, N. ; Yahaya, N. ; Ali, M. Bilal ; Abdul Rahman, K.A.

  • Author_Institution
    Fac. of Educ., Univ. Teknol. Malaysia, Johor Bahru, Malaysia
  • fYear
    2014
  • Firstpage
    52
  • Lastpage
    57
  • Abstract
    The need has arisen towards the consideration of individual difference in order to enhance motivation in learning fractions. As a result, researchers found that students could improve the level of motivational factors if learn through preferred learning environment. Also, consideration of students´ intentions and emotions encouraged students to learn more and effectively. Therefore, personalized learning modules of fractions were developed for each Learning Orientation Profile consists in Intentional Learning Theory, which are Transformance, Performance, Conformance and Resistance Learners. The modules also developed online based on multi-step problem solving involving fractions. In order to investigate learners´ motivational factors including value of fractions, mathematical anxiety in learning fractions and self-concept of ability on fractions, scores for each motivational factors are collected thrice and compared. Then, the results are validated with open-ended questionnaires on the effectiveness of the learning modules. The results show that the modules could improve students´ motivational factors in learning fractions.
  • Keywords
    computer aided instruction; human factors; mathematics; conformance learners; fraction learning; intentional learning theory; learning environment; learning orientation profile; mathematical anxiety; motivational factors; performance learners; personalized learning modules; resistance learners; transformance learners; Analysis of variance; Conferences; Electronic learning; Problem-solving; Resistance; fractions; individual; motivation; orientations; personalized;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    e-Learning, e-Management and e-Services (IC3e), 2014 IEEE Conference on
  • Type

    conf

  • DOI
    10.1109/IC3e.2014.7081241
  • Filename
    7081241