Main Article Content

Abstract

Learning motivation has been examined for its positive influence on learning outcomes. However, little attention has been addressed to the development of measuring instruments of learning motivation in the context of reading the Quran in Indonesian higher education. This study was designed to develop a Quran learning motivation questionnaire. The Self-Determination Theory (SDT) was applied as a theoretical framework to explore the type dan level of motivation. Participants involved in this study were 420 students. They were divided into subsample one for exploratory factor analysis (N = 200) and subsample two with confirmatory factor analysis (N = 220). The questionnaire was developed with 12 item-three factors using five points Likert scale that can measure the learning motivation in reading Quran. The results of the study show that the level of student motivation is relatively low (M= 3.12), and the intrinsic motivation type (M= 3.99) is more dominant than extrinsic motivation survival (M= 2.99) and approval (M= 2.38) with a p-value of 0.000. In addition, it was found that female students (M= 3.19) had significantly higher motivation than male students (M= 3.04), with a p-value of 0.017.

Keywords

Confirmatory Factor Analysis Exploratory Factor Analysis Gender Motivation Scale Quran

Article Details

References

  1. Adcroft, A. (2011). The motivations to study and expectations of studying undergraduate students in business and management. Journal of Further and Higher Education, 35(4), 521–543. https://doi.org/10.1080/0309877X.2011.590581
  2. Ahmed, W. (2017). Motivation and Self-Regulated Learning: A Multivariate Multilevel Analysis. International Journal of Psychology and Educational Studies, 4(3), 1–11. https://doi.org/10.17220/ijpes.2017.03.001
  3. Andres, H. P. (2017). Active teaching to manage course difficulty and learning motivation. Journal of Further and Higher Education, 1–16. https://doi.org/10.1080/0309877X.2017.1357073
  4. Ballmann, J. M., & Mueller, J. J. (2008). Using self-determination theory to describe the academic motivation of allied health professional-level college students. Journal of Allied Health, 37(2), 90–96.
  5. Basturkmen, H. (2010). Developing Courses in English for Specific Purposes. Palgrave Macmillan UK. https://doi.org/10.1057/9780230290518
  6. Berglund, J., & Gent, B. (2019). Quranic education and non-confessional RE: An intercultural perspective. Intercultural Education, 30(3), 323–334. https://doi.org/10.1080/14675986.2018.1539305
  7. Blanchard, J. (2008). Learning awareness: Constructing formative assessment in the classroom, in the school, and across schools. Curriculum Journal, 19(3), 137–150. https://doi.org/10.1080/09585170802357454
  8. Bolkan, S. (2015). Intellectually Stimulating Students’ Intrinsic Motivation: The Mediating Influence of Affective Learning and Student Engagement. Communication Reports, 28(2), 80–91. https://doi.org/10.1080/08934215.2014.962752
  9. Brophy, J. (2004). Motivating Students to Learn, Second Edition (Second). Lawrence Erlbaum Associates.
  10. Bye, D., Pushkar, D., & Conway, M. (2007). Motivation, Interest, and Positive Affect in Traditional and Nontraditional Undergraduate Students. Adult Education Quarterly, 57(2), 141–158. https://doi.org/10.1177/0741713606294235
  11. Choy, S. C., Goh, P. S. C., & Sedhu, D. S. (2016). How and Why Students Learn: Development and Validation of the Learner Awareness Levels Questionnaire for Higher Education Students. International Journal of Teaching and Learning in Higher Education, 28(1), 94–101.
  12. Field, A. (2013). Discovering statistics using IBM SPSS Statistics, 4th Edition (4th edition). SAGE Publications Ltd.
  13. Gable, R. K., & Wolf, M. B. (1993). Instrument development in the affective domain: Measuring attitudes and values in corporate and school settings / (2nd ed.). Kluwer Academic Publishers.
  14. Gerbing, D. W., & Anderson, J. C. (1988). An Updated Paradigm for Scale Development Incorporating Unidimensionality and Its Assessment. Journal of Marketing Research, 25(2), 186–192. https://doi.org/10.1177/002224378802500207
  15. Guadagnoli, E., & Velicer, W. F. (1988). Relation of a sample size to the stability of component patterns. Psychological Bulletin, 103(2), 265–275. https://doi.org/10.1037/0033-2909.103.2.265
  16. Hair, J. F. (Ed.). (2010). Multivariate Data Analysis (7. ed). Pearson Prentice Hall.
  17. Hong, E., Jeong, Y., & Downward, P. (2019). Perceived organizational support, internal motivation, and family conflict among soccer referees. Managing Sport and Leisure, 24(1–3), 141–154. https://doi.org/10.1080/23750472.2019.1593049
  18. Hsieh, T.-L. (2014). Motivation matters? The relationship between different types of learning motivation, engagement behaviors, and learning outcomes of undergraduate students in Taiwan. Higher Education, 68(3), 417–433. https://doi.org/10.1007/s10734-014-9720-6
  19. Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
  20. Kaiser, H. F. (1970). A second-generation little jiffy. Psychometrika, 35(4), 401–415. https://doi.org/10.1007/BF02291817
  21. Kember, David., Hong, Celina., & Ho, Amber. (2008). Characterizing the motivational orientation of students in higher education: A naturalistic study in three Hong Kong universities. British Journal of Educational Psychology, 78(2), 313–329. https://doi.org/10.1348/000709907X220581
  22. King, R. B., & Ganotice, F. A. (2014). What’s Happening to Our Boys? A Personal Investment Analysis of Gender Differences in Student Motivation. The Asia-Pacific Education Researcher, 23(1), 151–157. https://doi.org/10.1007/s40299-013-0127-4
  23. Kline, P. (1994). An Easy Guide to Factor Analysis. Routledge.
  24. Kunanitthaworn, N., Wongpakaran, T., Wongpakaran, N., Paiboonsithiwong, S., Songtrijuck, N., Kuntawong, P., & Wedding, D. (2018). Factors associated with motivation in medical education: A path analysis. BMC Medical Education, 18(140), 1–9. https://doi.org/10.1186/s12909-018-1256-5
  25. Liu, Y., & Hou, S. (2017). The potential reciprocal relationship between motivation and achievement: A longitudinal study. School Psychology International, 1–18. https://doi.org/10.1177/0143034317710574
  26. MacCallum, R. C., Widaman, K. F., Zhang, S., & Hong, S. (1999). Sample size in factor analysis. Psychological Methods, 4(1), 84–99. https://doi.org/10.1037/1082-989X.4.1.84
  27. Marinak, B. A., & Gambrell, L. B. (2010). Reading Motivation: Exploring the Elementary Gender Gap. Literacy Research and Instruction, 49(2), 129–141. https://doi.org/10.1080/19388070902803795
  28. McCoach, D. B., Gable, R. K., & Madura, J. P. (2013). Instrument Development in the Affective Domain. Springer New York. https://doi.org/10.1007/978-1-4614-7135-6
  29. McGeown, S. P., Norgate, R., & Warhurst, A. (2012). Exploring intrinsic and extrinsic reading motivation among very good and very poor readers. Educational Research, 54(3), 309–322. https://doi.org/10.1080/00131881.2012.710089
  30. Meyers, L. S., Gamst, G., & Guarino, A. J. (2017). Applied Multivariate Research Design and Interpretation 3rd Edition. SAGE Publications, Inc. https://us.sagepub.com/en-us/nam/applied-multivariate-research/book246895
  31. Miller, R. (2015). Learning to Love Reading: A Self-Study on Fostering Students’ Reading Motivation in Small Groups. Studying Teacher Education, 11(2), 103–123. https://doi.org/10.1080/17425964.2015.1045771
  32. Murphy, P. K., & Alexander, P. A. (2000). A Motivated Exploration of Motivation Terminology. Contemporary Educational Psychology, 25(1), 3–53. https://doi.org/10.1006/ceps.1999.1019
  33. Narknisorn, B., & Kusakabe, K. (2013). Issues are challenging future Thai elder care by women and family. International Journal of Sociology and Social Policy, 33(1/2), 21–32. https://doi.org/10.1108/01443331311295154
  34. Nielsen, T. (2018). The intrinsic and extrinsic motivation subscales of the Motivated Strategies for Learning Questionnaire: A Rasch-based construct validity study. Cogent Education, 5(1), 1–19. https://doi.org/10.1080/2331186X.2018.1504485
  35. Orsini, C., Evans, P., Binnie, V., Ledezma, P., & Fuentes, F. (2016). Encouraging intrinsic motivation in the clinical setting: Teachers’ perspectives from the self-determination theory. European Journal of Dental Education, 20(2), 102–111. https://doi.org/10.1111/eje.12147
  36. Pintrich, P. R. (2004). A Conceptual Framework for Assessing Motivation and Self-Regulated Learning in College Students. Educational Psychology Review, 16(4), 385–407. https://doi.org/10.1007/s10648-004-0006-x
  37. Räisänen, M., Postareff, L., Mattsson, M., & Lindblom-Ylänne, S. (2018). Study-related exhaustion: First-year students’ use of self-regulation of learning and peer learning and perceived peer support value. Active Learning in Higher Education, 1–16. https://doi.org/10.1177/1469787418798517
  38. Rothes, A., Lemos, M. S., & Gonçalves, T. (2017). Motivational Profiles of Adult Learners. Adult Education Quarterly, 67(1), 3–29. https://doi.org/10.1177/0741713616669588
  39. Ryan, R. M., & Deci, E. L. (2000). Intrinsic and Extrinsic Motivations: Classic Definitions and New Directions. Contemporary Educational Psychology, 25(1), 54–67. https://doi.org/10.1006/ceps.1999.1020
  40. Saeed, S., & Zyngier, D. (2012). How Motivation Influences Student Engagement: A Qualitative Case Study. Journal of Education and Learning, 1(2), 252–267. https://doi.org/10.5539/jel.v1n2p252
  41. Sallı, A. (2017). Role of motivation and attitude: Learning Turkish and Greek in Cyprus. International Journal of Bilingualism, 136700691770345. https://doi.org/10.1177/1367006917703456
  42. Schick, H., & Phillipson, S. N. (2009). Learning motivation and performance excellence in adolescents with high intellectual potential: What matters? High Ability Studies, 20(1), 15–37. https://doi.org/10.1080/13598130902879366
  43. Sean, C. Y., & Ahmed, P. K. (2012). Understanding student motivation in higher education participation: A psychometric validation of the academic motivation scale in the Malaysian context. International Proceedings of Economics Development and Research, 53, 118–122. https://doi.org/DOI: 10.7763/IPEDR. 2012. V53. 26
  44. Sogunro, O. A. (2014). Motivating Factors for Adult Learners in Higher Education. International Journal of Higher Education, 4(1), 22–37. https://doi.org/10.5430/ijhe.v4n1p22
  45. Tabachnick, B. G., & Fidell, L. S. (2007). Using Multivariate Statistics (5th ed). Pearson/Allyn & Bacon.
  46. Thibodeaux, J., Deutsch, A., Kitsantas, A., & Winsler, A. (2017). First-Year College Students’ Time Use: Relations With Self-Regulation and GPA. Journal of Advanced Academics, 28(1), 5–27. https://doi.org/10.1177/1932202X16676860
  47. Tremblay-Wragg, É., Raby, C., Ménard, L., & Plante, I. (2019). The use of diversified teaching strategies by four university teachers: What contribution to their students’ learning motivation? Teaching in Higher Education, 1–18. https://doi.org/10.1080/13562517.2019.1636221
  48. Triyanto (2019). The Academic Motivation of Papuan Students at Sebelas Maret University, Indonesia. SAGE Open, 9(1), 1–7. https://doi.org/10.1177/2158244018823449
  49. Wang, M.-T., & Degol, J. L. (2016). School Climate: A Review of the Construct, Measurement, and Impact on Student Outcomes. Educational Psychology Review, 28(2), 315–352. https://doi.org/10.1007/s10648-015-9319-1
  50. Weston, R., & Gore, P. A. (2006). A Brief Guide to Structural Equation Modeling. The Counseling Psychologist, 34(5), 719–751. https://doi.org/10.1177/0011000006286345
  51. Williams, K. C., & Williams, C. C. (2011). Five Key Ingredients for Improving Student Motivation. Research in Higher Education Journal, 121–123.