LACLOD: Learning Analytics For Childrens Logic Development

Suzani Mohamad Samuri

Abstract

Learning Analytics for Children's Logic Development (LACLOD) is a web-based and mobile friendly learning analytic platform for assessing the logic development of children age 3 to 4 years old in TASKA PERMATA UPSI Malaysia. The platform is developed using Unity and connected through Google Analytics (GA) plugin where it tracked the user interaction for the application. LACLOD is designed only for mobile or tablet which is using Android. In this paper, the development of this learning analytic platform is presented. For evaluation of this system, observation and survey have been used, to get the feedback from 2 teachers (female) and 3 children (2 female and 1 male). Based on the evaluation, it can be seen that there are still rooms for improvement. Female children found it quit hard to understand the game but the male children looked satisfy because he knew on how to navigate the app and he actively played the app by himself. As for teachers, the acceptance to this kind of assessment is moderate, however they agree that this application can better improve the children’s learning especially in logic development. KEYWORDS Learning analytics, Game-based learning, Unity software, Google analytics, and Assessment technology

References

Alade, F., Lauricella, A. R., Beaudoin-Ryan, L., & Wartella, E. (2016). Measuring with Murray: Touchscreen technology and preschoolers’ STEM learning. Computers in Human Behavior, 62, 433–441. doi.org/10.1016/j.chb.2016.03.080

Iglesias Rodriguez, A., Garcia Riaza, B., & Sanchez Gomez, M. C. (2016). Collaborative learning and mobile devices: An educational experience in Primary Education. Computers in Human Behavior. doi.org/10.1016/j.chb.2016.07.019

Karkar, A., Ja’Am, J. M. Al, Foufou, S., & Sleptchenko, A. (2016). An e-learning mobile system to generate illustrations for Arabic text. IEEE Global Engineering Education Conference, EDUCON, 10–13–Apri(April), 184–191. doi.org/10.1109/EDUCON.2016.7474551.

Rossetto, A. D. F., & Dutra, A. (2016). The analysis of the use of mobile technology in 6-8 years old children’s literacy process. 2016 International Symposium on Computers in Education, SIIE 2016: Learning Analytics Technologies, 9–12. doi.org/10.1109/SIIE.2016.7751830

Dagal, A. B., Balat, G. U., Kanburoglu, V., Şallı, D., & Birbir, Y. (2015). The Development of English Computer Aided Education Program for Acquisition of Color, Number and Shape Concepts in Preschool Children without Foreign Language Education Background. Procedia - Social and Behavioral Sciences, 176, 87–94. doi.org/10.1016/j.sbspro.2015.01.447

Guenaga, M., & Garaizar, P. (2016). From Analysis to Improvement: Challenges and Opportunities for Learning Analytics. IEEE Revista Iberoamericana de Tecnologias del Aprendizaje, 11(3), 146-147.

Siemens, G., & d Baker, R. S. (2012). Learning analytics and educational data mining: towards communication and collaboration. In Proceedings of the 2nd international conference on learning analytics and knowledge (pp. 252-254). ACM.

de Freitas, S., Gibson, D., Alvarez, V., Irving, L., Star, K., Charleer, S., & Verbert, K. (2017). How to use gamified dashboards and learning analytics for providing immediate student feedback and performance tracking in higher education. In Proceedings of the 26th International Conference on World Wide Web Companion (pp. 429-434). International World Wide Web Conferences Steering Committee.

Ali, M., Shatabda, S., & Ahmed, M. (2017). Impact of learning analytics on product marketing with serious games in Bangladesh. In 2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC) (pp. 576-579). IEEE.

Tlili, A., Essalmi, F., Ayed, L. J. B., & Jemni, M. (2017). A smart educational game to model personality using learning analytics. In 2017 IEEE 17th International conference on advanced learning technologies (ICALT) (pp. 131-135). IEEE.

Yi, B., Wang, Y., Zhang, D., Liu, H., Shu, J., Zhang, Z., & Lv, Y. (2017). Learning Analytics-Based Evaluation Mode for Blended Learning and Its Applications. In 2017 International Symposium on Educational Technology (ISET) (pp. 147-149). IEEE.

Spikol, D., Ruffaldi, E., Landolfi, L., & Cukurova, M. (2017). Estimation of success in collaborative learning based on multimodal learning analytics features. In 2017 IEEE 17th International Conference on Advanced Learning Technologies (ICALT) (pp. 269-273). IEEE.

Nor Zuhaidah Mohamed Zain, Maizatul Hayati Mohamad Yatim, Ummu Husna Azizan and Hasrina Baharum, (2020). Development of a Mobile Learning Application of Malay Vocabulary for Lower Secondary School Level. International Journal of Multimedia & Its Application (IJMA), Vol. 12, No. 6, AIRCC.

Kurikulum PERMATA Negara (2013). http://www.programpermata.my/resources/download/KURIKULUM_PERMATA_NEGARA.pdf

UNESCO (n.d.). Early Childhood Care and Education. https://en.unesco.org/themes/early-childhood-care-and-education

Peterson, C. (2003). Bringing ADDIE to life: Instructional design at its best. Journal of Educational Multimedia and Hypermedia, 12(3), 227-241.

Bloom, B. S. (1956). Taxonomy of educational objectives. Vol. 1: Cognitive domain. New York: McKay, 20-24.

Nielsen, J. (1993). Usability Engineering. Boston: Academic Press.