The Mediating Effect of ICT-Based Instruction on Attitudes and Motivation of Students’ in Science
DOI:
https://doi.org/10.54536/ajiri.v3i4.3884Keywords:
Education, ICT-based Instruction, Philippines, Science Attitudes, Science MotivationAbstract
This study determined the mediating role of ICT-based instruction on the relationship between attitudes and motivation of students in science. The quantitative approach using the correlational technique and analysis was utilized in this study with a sample of 309 students coming from the Public Schools in the Division of Bukidnon, Municipality of Kitaotao, Kitaotao I, Kitaotao II, and Kitaotao III Districts using stratified random method of sampling. Data from the respondents was collected using sets of modified survey questionnaires, and the results were analyzed for reliability and content validity. Regression analysis, Pearson-r, and the mean were used to examine the data. The findings showed that the levels of science attitudes of students were rated moderate, and the science motivation of students was rated high. While ICT-based instruction was likewise given a high rating. Furthermore, there was a strong correlation between the factors. The connection between science attitudes and the science motivation of students was significant. There is also a significant relationship between science attitudes of students and ICT-based instruction. And a significant relationship between ICT-based instruction and the science motivation of students. On the mediating effect, a partial mediation exists between the impact of ICT-based instruction on the correlation between attitudes and motivation of students in science.
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Ajzen, I. (2002). Perceived behavioral control, self-efficacy, locus of control, and the theory of planned
behavior. Journal of Applied Social Psychology, 32(4), 665-683. https://psycnet.apa.org/doi/10.1111/j.1559-1816.2002.tb00236.x
Ajzen, I. (1991). The Theory of Planned Behaviour. Organizational Behaviour and Human Decision Processes, 50, 179-211. https://doi.org/10.1016/0749-5978(91)90020-T
Alkaromah, A., Fauziati, E., & Asib, A. (2020). Students’ Perception on the Information and Communication Technology (ICT) Tools in English Language Teaching, 3, 122-129. https://doi.org/10.34050/ELS-JISH.V3I1.9522.
Areepattamannil, S., Cairns, D., & Dickson, M. (2020). Teacher-Directed Versus Inquiry-Based Science Instruction: Investigating Links to Adolescent Students’ Science Dispositions Across 66 Countries. Journal of Science Teacher Education, 31, 675-704. https://doi.org/10.1080/1046560X.2020.1753309.
Arnab, R. (2017). Survey sampling theory and applications. Academic Press.
Asrial, A., Maison, M., & Perdana, R. (2022). A study of junior high school students’ attitudes and learning motivation on science process. Cypriot Journal of Educational Sciences, 17(8), 2745–2759. https://doi.org/10.18844/cjes.v17i8.7816
Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51, 1173-1182.
Berame, J. S. (2023). Level of Technological Implementation in Science Instruction to Enhance National Achievement Test (NAT) Performance in Butuan City Division, Philippines. American Journal of Education and Technology, 2(2), 124–133. https://doi.org/10.54536/ajet.v2i2.1639
Bhandari, P. (2022). Mediator vs moderator variables. Scribbr. Retrieved June, 3, 2022.
Chang, C. T., Tu, C. S., & Hajiyev, J. (2019). Integrating academic type of social media activity with perceived academic performance: A role of task-related and non-task-related compulsive Internet use. Computers & Education, 139, 157-172. https://doi.org/10.1016/j.compedu.2019.05.011
Crawley, F. E., & Koballa Jr, T. R. (1992). Hispanic-American Students’ Attitudes Toward Enrolling in High School Chemistry: A Study of Planned Behavior and Belief-Based Change. Hispanic Journal of Behavioral Sciences, 14(4), 469-486.https://doi.org/10.1177/07399863920144005.
Cresswell, J., & Clark, P. (2008). The selection of Research Design. Sage Publication.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340. https://doi.org/10.2307/249008
Feng, L., He, L., & Ding, J. (2023). The association between perceived teacher support, students’ ICT self-efficacy, and online English academic engagement in the blended learning context. Sustainability, 15(8), 6839. https://doi.org/10.3390/su15086839.
Fortus, D., & Touitou, I. (2021). Changes to students’ motivation to learn science. Disciplinary and Interdisciplinary Science Education Research, 3. https://doi.org/10.1186/s43031-020-00029-0.
Gregersen, T., & Mercer, S. (Eds.). (2021). The Routledge handbook of the psychology of language learning and teaching. Routledge. https://doi.org/10.4324/9780429321498
Hong, W., Bernacki, M. L., & Perera, H. N. (2020). A latent profile analysis of undergraduates’ achievement motivations and metacognitive behaviors, and their relations to achievement in science. Journal of Educational Psychology, 112, 1409–1430. https://doi.org/10.1037/edu0000445
Lalić-Vučetić, N., & Mirkov, S. (2023). Motivation for learning science and mathematics: TIMSS research in Serbia. Inovacije u nastavi. https://doi.org/10.5937/inovacije2303001l.
Karma, Wangdi, P., & Dorji, M. (2023). Effectiveness of information communication, and Technology (ICT) tools in teaching mixture in grade seven science in one of the schools in Bhutan. International Journal of Multidisciplinary Research and Growth Evaluation, 4(6), 305-310. https://doi.org/10.54660/.ijmrge.2023.4.6.305-310.
Kelani, R. R. (2022). Knowledge and Perceptions of Students Regarding their Teachers’ ICT Integration in Secondary Schools in Benin. International Journal on Integrating Technology in Education,11(2). 10.5121/ijite.2022.11206
Koster, E., & Regt, H. (2019). Science and Values in Undergraduate Education. Science & Education, 29, 123-143. https://doi.org/10.1007/s11191-019-00093-7.
Krishan, I. Q., & Al-rsa’i, M. S. (2023). The Effect of Technology-Oriented Differentiated Instruction on Motivation to learn Science. International Journal of Instruction, 16(1). https://doi.org/10.29333/iji.2023.16153a
Malik, R. (2023). Impact of Technology-based Education on Student Learning Outcomes and Engagement. 10th International Conference on Computing for Sustainable Global Development (INDIACom), 784-788.
Mao, P., Cai, Z., He, J., Chen, X., & Fan, X. (2021). The Relationship Between Attitude Toward Science and Academic Achievement in Science: A Three-Level Meta-Analysis. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.784068.
Nguyen, T. Q., Schmid, I., & Stuart, E. A. (2021). Clarifying causal mediation analysis for the applied researcher: Defining effects based on what we want to learn. Psychological Methods, 26(2), 255. https://psycnet.apa.org/doi/10.1037/met0000299
Rogayan Jr, D. V., & Bautista, J. R. (2019). Filipino Students’ Preferred Motivational Strategies in Science: A Cross-Sectional Survey. Indonesian Research Journal in Education(IRJE), 3(2), 358-372. https://doi.org/10.22437/irje.v3i2.6828
Ryan, R. M., Deci, E. L. (2022). Self-Determination Theory. In Maggino, F. (eds) Encyclopedia of Quality of Life and Well-Being Research. Springer, Cham. https://doi.org/10.1007/978-3-319-69909-7_2630-2
Sabanal, G., Reputana, K., Palwa, S., Labandero, C., & Alimbon, J. (2023). Motivation and Academic Performance of Secondary Students in Science: A Correlational Study. Asian Journal of Science Education. https://doi.org/10.24815/ajse.v5i2.31668.
Sarkis, A. S., Hallit, S., Hajj, A., Kechichian, A., Sarkis, D. K., Sarkis, A., & Ayoub, E. N. (2020). Lebanese students’ motivation in medical school: does it change throughout the years? A cross-sectional study. BMC medical education, 20(1),1-10. https://bmcmededuc.biomedcentral.com/articles/10.1186/s12909-020-02011-w
Sánchez, J. G. S., & Vázquez, D. J. (2023). The advantages of using augmented reality as a pedagogical teaching resource. Revista Innova Educación, 5(2), 7-2 https://doi.org/10.35622/j.rie.2023.02.001
Sánchez, J. S., & Vázquez, D. J. (2022). A systematic review of the use of ICT and emotional intelligence on motivation and academic performance. Technological Innovations Journal, 1(3), 7-27. https://doi.org/10.35622/j.ti.2022.03.001
Shanmugam, K., & Balakrishnan, B. (2019). Motivation in Information Communication and Technology-Based Science Learning in Tamil Schools. Jurnal Pendidikan IPA Indonesia. https://doi.org/10.15294/JPII.V8I1.16564.
Shin, D., Lee, M., Ha, J., Park, J., Ahn, H., Son, E., Chung, Y., & Bong, M. (2019). Science for all: Boosting the science motivation of elementary school students with utility value intervention. Learning and Instruction. https://doi.org/10.1016/J.LEARNINSTRUC.2018.12.003.
Siedlecki, S. L. (2020). Understanding descriptive research designs and methods. Clinical Nurse Specialist, 34(1), 8-12. 10.1097/NUR.0000000000000493
Software Reviews: Raosoft Survey. (1992). Social Science Computer Review, 10(3), 402-403. https://doi.org/10.1177/089443939201000317
Paul, D., & Roy, S. K. (2023). A Study of ICT Awareness, Proficiency, and Usage among Post-Graduate (PG) Students. American Journal of Education and Technology, 2(2), 108–115. https://doi.org/10.54536/ajet.v2i2.1656
Phillips, J., Jagnandan, S., Jagnandan, A., & Khan, B. (2023). An Investigation of the Effects of Technology-Enhanced Instructional Approaches on Students’ Programming Skills at New Amsterdam Secondary School. International Journal of Current Science Research and Review. https://doi.org/10.47191/ijcsrr/v6-i7-02.
Potvin, P., & Hasni, A. (2014). Interest, motivation and attitude towards science and technology at K-12
levels: a systematic review of 12 years of educational research. Studies in Science Education, 50, 129 - 85. https://doi.org/10.1080/03057267.2014.881626.
Steinmayr, R., Weidinger, A. F., Schwinger, M., Spinath, B. (2019). The Importance of Students’ Motivation for Their Academic Achievement – Replicating and Extending Previous Findings. Frontiers in Psychology, 10. https://doi.org/10.3389/fpsyg.2019.01730
Su, J., Zhong, Y., & Ng, D. T. K. (2022). A meta-review of literature on educational approaches for teaching AI at the K-12 levels in the Asia-Pacific region. Computers and Education: Artificial Intelligence, 3, 100065. https://doi.org/10.1016/j.caeai.2022.100065
Tai, R. H., Ryoo, J. H., Skeeles-Worley, A., Dabney, K. P., Almarode, J. T., & Maltese, A. V. (2022). (Re-) Designing a measure of student’s attitudes toward science: a longitudinal psychometric approach. International Journal of STEM Education, 9(1), 1-15.
Taş, Y., Subaşi, M., & Yerdelen, S. (2018). The role of motivation between perceived teacher support and student engagement in science class. Educational Studies, 45, 582 - 592. https://doi.org/10.1080/03055698.2018.1509778.
Timotheou, S., Miliou, O., Dimitriadis, Y. (2023). Impacts of digital technologies on education and factors influencing schools’ digital capacity and transformation: A literature review. Educ Inf Technol 28, 6695–6726 (2023). https://doi.org/10.1007/s10639-022-11431-8
Tuan, H. L., Chin, C. C., & Shieh, S. H. (2005). The development of a questionnaire to measure students’ motivation towards science learning. International journal of science education, 27(6), 639-654.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478. https://doi.org/10.2307/30036540
Wang, X. M., Hu, Q. N., Hwang, G. J., & Yu, X. H. (2022). Learning with digital technology- facilitated empathy: An augmented reality approach to enhancing students’ flow experience, motivation, and achievement in a biology program. Interactive Learning Environments, 1-17. https://doi.org/10.1080/10494820.2022.2057549
Wangchuk, N. (2023). Impact of ICT integration in Science Classrooms at One of the Middle Secondary Schools. Journal of Humanities and Education Development. https://doi.org/10.22161/jhed.5.5.2.
Wei-Kai, K. K. B., Spector, J. M., Chang, C. Y. (2019). To use augmented reality or not informative assessment: a comparative study, Interactive. Learning Environments, 27(5-6), 830-840. https://doi.org/10.1080/10494820.2018.1489857
Winter, J. W. (2018). Performance and Motivation in a Middle School Flipped Learning Course. TechTrends – Linking Research and Practice to Improve Learning, 62(2), 176-183. http://dx.doi.org/10.1007/s11528-017-0228-7
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