Effects of a Seamless Inquiry-based Science Learning Strategy on Lower Secondary School Students’ Science Motivation in Rural Context
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Abstract
Motivation in learning science is a critical factor influencing the efficacy of modern learners' educational experiences. Seamless learning is a pedagogical method that bridges learning gaps and enhances meaning and effectiveness. This approach incorporates digital technology into the learning process, serving as an aid to student engagement. This study aims to investigate the science motivation among a group of students engaged in science learning through a seamless inquiry-based method using mobile technology. The participants comprised 45 lower secondary school students from 7th and 9th graders in a public school. These students were exposed to a 300-minute seamless inquiry-based learning intervention. The science motivation was measured using a 5-point Likert scale questionnaire consisting of 25 items, divided into five subcategories: Intrinsic Motivation (IM), Career Motivation (CM), Self-Determination (SDT), Self-Efficacy (SEC), and Grade Motivation (GM). The students’ science motivation was assessed before and after the intervention. The data was analyzed using the Independent Samples t-test to compare the students’ science motivation. The research found that the sub-dimensions of IM, CM, SDT, and SEC in science motivation showed higher average scores after the learning period, except for GM, which showed the opposite effect. It was observed that there was a significant statistical improvement in the IM and CM dimensions. The study conclusively demonstrates that the seamless inquiry-based learning approach using mobile technology significantly enhances specific dimensions of science motivation among lower secondary school students.
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References
Anderman, E. M. and Midgley, C. (1997). Changes in achievement goal orientations, perceived academic competence, and grades across the transition to middle-level schools. Contemporary Educational Psychology, 22(3), 269–298.
Apereo Foundation. (2017). Apereo Learning Analytics Initiative. Retrieved 1 September 2020, from Apereo: https://www.apereo.org/projects/openlrs
Ardura. D and Pérez-Bitrián. A. (2018). The effect of motivation on the choice of chemistry in secondary schools: adaptation and validation of the Science Motivation Questionnaire II to Spanish students. Chemistry Education Research and Practice, 19(3), 905-918.
Barak, M. (2014). Closing the Gap Between Attitudes and Perceptions About ICT-Enhanced Learning Among Pre-service STEM Teachers. Journal of Science Education and Technology, 23(1), 1–14.
Buck L. B., Bretz, S. L. and Towns, M. H. (2008). Characterizing the Level of Inquiry in the Undergraduate Laboratory. Journal of College Science Teaching, 38(1), 52-58.
Chan, T. W., Roschelle, J., Hsi, S., Kinshuk, Sharples, M., Brown, T., Patton, C., Cherniavsky, J., Pea, R., Norris, C., Soloway, E., Balacheff, N., Scardamalia, M., Dillenbourg, P., Looi, C.-K., Milrad, M. and Hoppe, U. (2006). One-to-one technology-enhanced learning: an opportunity for global research collaboration. Research and Practice in Technology-Enhanced Learning, 1(1), 3–29.
Crawford, B. A. (2014). From inquiry to scientific practices in the science classroom. In N. G. Lederman & S. K. Abell (Eds.), Handbook of Research on Science Education (pp. 515–541). Routledge.
Fortus, D., and Touitou, I. (2021). Changes to students’ motivation to learn science. Disciplinary and Interdisciplinary Science Education Research, 3(1), 1-14.
Glynn, S. M., Brickman, P., Armstrong, N. and Taasoobshirazi, G. (2011). Science motivation questionnaire II: Validation with science majors and nonscience majors. Journal of Research in Science Teaching, 48(10), 1159-1176.
Kohen, Z. (2019). Informed integration of IWB technology, incorporated with exposure to varied mathematics problem-solving skills: Its effect on students’ real-time emotions. International Journal of Mathematical Education in Science and Technology, 50(8), 1128–1151.
Lamb, R., Akmal, T. and Petrie, K. (2015). Development of a cognition-priming model describing learning in a STEM classroom. Journal of Research in Science Teaching, 52(3), 410–437.
Looi, C. K., Seow, P., Zhang, B., So, H.-J., Chen, W. and Wong, L.-H. (2010). Leveraging mobile technology for sustainable seamless learning: a research agenda. British journal of educational technology, 41(2), 154–169.
Rennie, L. J., Goodrum, D. and Hacking, M. (2001). Science teaching and learning in Australian schools: Results of a national study. Research in Science Education, 31(4), 455–498.
Schunk, D. H., Pintrich, P. R. and Meece, J. L. (2008). Motivation in education: Theory, research, and application. Upper Saddle River: Pearson.
Sharples, M., Scanlon, E., Ainsworth, S., Anastopoulou, S., Collins, T., Crook, C. and Malley, C. O. (2015). Personal inquiry: Orchestrating science investigations within and beyond the classroom. The Journal of the Learning Sciences, 24(2), 308–341.
Soodjai, S. and Srisawasdi, N. (2021). Effect of Digital Card Game-based Open Inquiry Science Learning on Protein Synthesis on Secondary School Students’ Learning Motivation toward Biology (in Thai). Journal of Education Khon Kaen University, 44(4), 68-83.
Sritawan, N. and Srisawasdi, N. (2022). Effect of seamless STEM learning on Newton’s law of motion on scientific explanation competency (in Thai). Journal of Education (Graduate Studies Research) Khon Kaen University, 16(1), (32-54).
University of Colorado Boulder. PhET: Geometric Optics. Retrieved 13 October 2020, from PhET Interactive Simulations: https://phet.colorado.edu/th/simulations/geometric-optics
Vedder-Weiss, D. and Fortus, D. (2012). Students’ declining motivation to learn science: A follow-up study. Journal of Research in Science Teaching, 49(9), 1057–1095.
Wong, L. H. and Looi, C. K. (2011). What seams do we remove in mobile-assisted seamless learning? A critical review of the literature. Computers & Education, 57(4), 2364 - 2381.
Yodsanga, S. and Srisawasd, N. (2021) The Effect of Using Digital Board Game-Based Learning Scientific Inquiry Approach. On Science Motivation Regarding Photosynthesis Phenomenon (in Thai). Journal of Education Khon Kaen University, 44(3), 144-162.