Micro Learning: Motivating Students’ Learning Interests

Danilah Salleh, Norhaiza Khairudin, Marhaiza Ibrahim

Abstract


Psychologically, students face several problems during Online Learning which will reduce their learning interest. The students’ motivation may be dropped due to a lack of understanding of the subject since they have to face it alone or due to technical aspects like internet lagging. There are various ways done by the educator to grow the interest of students in order for them to participate in class activities. Information technology has helped educators learn various techniques in teaching and learning. The undeniable interest of students in media socials has triggered the development of enormous software to be used in teaching and learning. Micro learning is a bite-sized, small learning unit with just the necessary amount of information to help learners achieve a goal. In this study, the micro learning technique is implemented by using videos that contain simple explanations of certain topics. This study examined how the micro-learning approach can boost students learning interest by measuring their participation in class by employing qualitative action research methodology where it involved 40 accounting students. The outcome of the study showed that students’ participation is at an excellent level. Micro learning has helped boost the interest of students in their learning.


Full Text:

PDF

References


Alrasheedi, M., & Capretz, L. F. (2018). Determination of critical success factors affecting mobile learning: a meta-analysis approach. arXiv preprint arXiv:1801.04288.

Brandy, J (2018) .What is Service Learning or Community Engagement? Creative Commons Attribution-NonCommercial 4.0 International License https://cft.vanderbilt.edu/guides-sub-pages/teaching-through-community-engagement/

Busulwa, H. S., & Bbuye, J. (2018). Attitudes and coping practices of using mobile phones for teaching and learning in a Uganda Secondary school. Open Learning: The Journal of Open, Distance and e-Learning, 33(1), 34-45.

Callaghan, M. N., Long, J. J., Es, E. A., Reich, S. M., & Rutherford, T. (2018). How teachers integrate a math computer game: Professional development use, teaching practices, and student achievement. Journal of Computer Assisted Learning, 34(1), 10-19.

Charp, S. (2003). Technology Integration in Teaching and Learning. THE Journal (Technological Horizons In Education), 30(8), 8.

Cheng, S. C., Hwang, G. J., & Chen, C. H. (2019). From reflective observation to active learning: A mobile experiential learning approach for environmental science education. British Journal of Educational Technology.

Christensen, R. (2002). Effects of technology integration education on the attitudes of teachers and students. Journal of Research on technology in Education, 34(4), 411-433.

Christensen, R., & Knezek, G. (2018). Reprint of Readiness for integrating mobile learning in the classroom: Challenges, preferences and possibilities. Computers in Human Behavior, 78, 379-388.

Dewey J. Interest and effort in education. Boston, MA: Houghton Mifflin; 1913

Eckersley, B., Tobin, K., & Windsor, S. (2018). Professional Experience and Project-Based Learning as Service Learning. In Educating Future Teachers: Innovative Perspectives in Professional Experience (pp. 175-192). Springer, Singapore.

Harackiewicz JM, Hulleman CS. The importance of interest: The role of achievement goals and task values in promoting the development of interest. Social & Personality Psychology Compass. 2010;4:42–52. doi: 10.1111/j.1751-9004.2009.00207.x.

Hidi S, Renninger KA. The four-phase model of interest development. Educational Psychologist. 2006;41:111–127. doi: 10.1207/s15326985ep4102_4.

Huo, C., & Shen, B. (2015). Teaching reform of English listening and speaking in China based on mobile micro-learning. Creative Education, 6(20), 2221.

Hoyer, J. (2005). Technology Integration in Education. International Journal of Learning, 12(6).

Jomah, O., Masoud, A. K., Kishore, X. P., & Aurelia, S. (2016). Micro learning: A modernized education system. BRAIN. Broad Research in Artificial Intelligence and Neuroscience, 7(1), 103-110.

Kapoor, R., & Datir, G. (2019). An Empirical Study On Effectiveness Of Using Mobile As A Resource For Learning In Education In Rural Area. Journal of Global Economy, 15(1 (Special), 96-103.

Kareem, A. A. (2018). Comparative Study Of The Effects Of Computer Assisted Instruction On Students’academic Achievement In Science Subjects In High Schools In Osun State, Nigeria. International Journal for Innovative Technology Integration in Education, 1(1), 15-22.

Kale, U. (2018). Technology valued? Observation and review activities to enhance future teachers’ utility value toward technology integration. Computers & Education, 117, 160-174.

Kearney, M. D., & Maher, D. (2018). Mobile learning in pre-service teacher education: Examining the use of professional learning networks. Australasian Journal of Educational Technology.

Kolog, E. A., Tweneboah, S. N. A., Devine, S. N. O., & Adusei, A. K. (2018). Investigating the Use of Mobile Devices in Schools: A Case of the Ghanaian Senior High Schools. In Mobile Technologies and Socio-Economic Development in Emerging Nations (pp. 81-108). IGI Global.

Lall, P., Rees, R., Law, G. C. Y., Dunleavy, G., Cotič, Ž., & Car, J. (2019). Influences on the implementation of mobile learning for medical and nursing education: Qualitative systematic review by the Digital Health Education Collaboration. Journal of medical Internet research, 21(2), e12895.

Leem, J., & Sung, E. (2019). Teachers' beliefs and technology acceptance concerning smart mobile devices for SMART education in South Korea. British Journal of Educational Technology, 50(2), 601-613.

Maruyama, G., Furco, A., & Song, W. (2018). Enhancing Underrepresented Students’ Success Through Participation in Community Engagement. In Educating for Citizenship and Social Justice (pp. 221-235). Palgrave Macmillan, Cham.

MacCallum, K., & Bell, H. R. (2019). Improving teaching practice in early childhood supported by mobile technology. In Early Childhood Development: Concepts, Methodologies, Tools, and Applications (pp. 1066-1082). IGI Global.

McMullen, J., Hannula‐Sormunen, M. M., Kainulainen, M., Kiili, K., & Lehtinen, E. (2019). Moving mathematics out of the classroom: Using mobile technology to enhance spontaneous focusing on quantitative relations. British Journal of Educational Technology, 50(2), 562-573.

Mohammed, G. S., Wakil, K., & Nawroly, S. S. (2018). The effectiveness of microlearning to improve students’ learning ability. International Journal of Educational Research Review, 3(3), 32-38.

Niederhauser, D. S., & Lindstrom, D. L. (2018). Instructional Technology Integration Models and Frameworks: Diffusion, Competencies, Attitudes, and Dispositions. Handbook of Information Technology in Primary and Secondary Education, 1-21

Ott, T., Magnusson, A. G., Weilenmann, A., & af Segerstad, Y. H. (2018). “It must not disturb, it’s as simple as that”: Students’ voices on mobile phones in the infrastructure for learning in Swedish upper secondary school. Education and Information Technologies, 23(1), 517-536.

Perry, N. D. (2018). Teacher attitudes and Beliefs about Successfully Integrating Technology in their Classroom During a 1: 1 Technology Initiative and the Factors that Lead to Adaptations in their Instructional Practice and Possible Influence on Standardized Test Achievement (Doctoral dissertation, Youngstown State University).

Polasek, R., & Javorcik, T. (2019, July). Results of pilot study into the application of MicroLearning in teaching the subject Computer Architecture and Operating System Basics. In 2019 International Symposium on Educational Technology (ISET) (pp. 196-201). IEEE.

Sarker, M. N. I., Wu, M., Cao, Q., Alam, G. M., & Li, D. (2019). Leveraging Digital Technology for Better Learning and Education: A Systematic Literature Review. International Journal of Information and Education Technology, 9(7), 453-461.

Saylor, J., Hertsenberg, L., McQuillan, M., O'Connell, A., Shoe, K., & Calamaro, C. J. (2018). Effects of a service learning experience on confidence and clinical skills in baccalaureate nursing students. Nurse education today, 61, 43-48.

Shyr, W. J., & Chen, C. H. (2018). Designing a technology‐enhanced flipped learning system to facilitate students' self‐regulation and performance. Journal of Computer Assisted Learning, 34(1), 53-62.

Soria, K. M., & Mitchell, T. D. (2018). Community Service and Social Justice at Research Universities. In Educating for Citizenship and Social Justice (pp. 239-249). Palgrave Macmillan, Cham.

Tadesse, T., Gillies, R. M., & Campbell, C. (2018). Assessing the dimensionality and educational impacts of integrated ICT literacy in the higher education context. Australasian Journal of Educational Technology, 34(1), 88-101.

Tolstikh, O., Pankova, V., & Krasnova, E. (2021). Microlearning in teaching English to students of engineering specialities. In E3S Web of Conferences (Vol. 273, p. 12136). EDP Sciences.

Tourón, J., Navarro-Asencio, E., Lizasoain, L., López-González, E., & García-San Pedro, M. J. (2018). How teachers’ practices and students’ attitudes towards technology affect mathematics achievement: results and insights from PISA 2012. Research Papers in Education, 1-13.

Tsai, C. Y. (2018). The effect of online argumentation of socio-scientific issues on students' scientific competencies and sustainability attitudes. Computers & Education, 116, 14-27.

Vannatta, R. A., & Beyerbach, B. (2000). Facilitating a constructivist vision of technology integration among education faculty and preservice teachers. Journal of Research on Computing in Education, 33(2), 132-148.

Vongkulluksn, V. W., Xie, K., & Bowman, M. A. (2018). The role of value on teachers' internalization of external barriers and externalization of personal beliefs for classroom technology integration. Computers & Education, 118, 70-81.

Yin, J., Goh, T. T., Yang, B., & Xiaobin, Y. (2021). Conversation technology with micro-learning: The impact of chatbot-based learning on students’ learning motivation and performance. Journal of Educational Computing Research, 59(1), 154-177.

Zhai, X., Li, M., & Chen, S. (2019). Examining the Uses of Student-Led, Teacher-Led, and Collaborative Functions of Mobile Technology and Their Impacts on Physics Achievement and Interest. Journal of Science Education and Technology, 1-11.


Refbacks

  • There are currently no refbacks.


DISCLAIMER

The editors and publisher of Jurnal Psikologi Malaysia have made every possible effort to verify the accuracy of all information contained in this publication. Any opinions, discussions, views and recommendations expressed in the article are solely those of the authors and are not of Jurnal Psikologi Malaysia, its editors or its publisher. Jurnal Psikologi Malaysia, its editors and its publisher will not be liable for any direct, indirect, consequential, special, exemplary, or other damages arising therefrom.