The Evaluation of a Technology-Embedded Solar Energy STEM (SESTEM) Module: A Pilot Implementation of Modern Teaching Tool for Diploma Science Students
Abstract
Utilising an excellent teaching tool is vital for students' education nowadays. In contrast to the traditional teaching way, Technology-Embedded Solar Energy STEM (SESTEM) module was created as a modern teaching tool for physics subject. In order to develop and evaluate the students’ perception towards the complete SESTEM module, developmental research and technology acceptance model (TAM) were applied in this research study. 52 randomly selected diploma students from Sultan Idris Education University (UPSI) were involved as respondents in this work. After the development of the SESTEM module using the analysis, design, development, implementation and evaluation (ADDIE) model, the perceptions of students as respondents towards this module were evaluated based on the TAM via questionnaire. Based on the responses from the respondents, the majority of the respondents demonstrated positive attitudes and behaviour intention, as well as agreed that the SESTEM module was useful as a teaching tool. Besides, the respondents showed a positive technological acceptance towards SESTEM module. The respondents' acceptance was contingent on the employment of technology for educational purposes in the future. Consequently, SESTEM module could be utilised by educators as a contemporary tool for enhancing student learning for future benefits.
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Abidin, N. Z., & Tho, S. (2018). The development of an innovative resonance experiment using smartphones with free mobile software applications for tertiary education. International Journal of Education and Development using ICT, 14(1).
Al-Janabi, S., Alkaim, A. F., & Adel, Z. (2020). An Innovative synthesis of deep learning techniques (DCapsNet & DCOM) for generation electrical renewable energy from wind energy. Soft Computing, 24(14), 10943-10962.
Berge, M., Danielsson, A., & Lidar, M. (2020). Storylines in the physics teaching content of an upper secondary school classroom. Research in Science & Technological Education, 38(1), 63-83.
Berndt, A. E. (2020). Sampling methods. Journal of Human Lactation, 36(2), 224-226.
Bhardwaj, P. (2019). Types of sampling in research. Journal of the Practice of Cardiovascular Sciences, 5(3), 157.
Castro, M. D. B., & Tumibay, G. M. (2021). A literature review: Efficacy of online learning courses for higher education institution using meta-analysis. Education and Information Technologies, 26, 1367-1385.
Chien, S. I., Su, C., Chou, C. C., & Wang, H. H. (2021). Research insights and challenges of secondary school energy education: A dye-sensitized solar cells case study. Sustainability, 13(19), 10581.
Chu, W. W., Mohd Hafiz, N. R., Mohamad, U. A., Ashamuddin, H., & Tho, S. W. (2023). A review of STEM education with the support of visualizing its structure through the CiteSpace software. International Journal of Technology and Design Education, 33(1), 39-61.
Chu, W. W., Ong, E. T., Ayop, S. K., Mohd Azmi, M. S., Abdullah, A. S., Abd Karim, N. S., & Tho, S. W. (2022). The innovative use of smartphone for sound STEM practical kit: A pilot implementation for secondary classroom. Research in Science & Technological Education. Advance online publication.
Ciriminna, R., Meneguzzo, F., Pecoraino, M., & Pagliaro, M. (2016). Rethinking solar energy education on the dawn of the solar economy. Renewable and Sustainable Energy Reviews, 63, 13-18.
Creswell, J. W., & Clark, V. L. P. (2017). Designing and conducting mixed methods research. Sage Publications.
Dey, S., Saha, S., Singh, A. K., & McDonald-Maier, K. (2022). SmartNoshWaste: Using blockchain, machine learning, cloud computing and QR code to reduce food waste in decentralized web 3.0 enabled smart cities. Smart Cities, 5(1), 162-176.
Eltahir, M. E., Alsalhi, N. R., Al-Qatawneh, S., AlQudah, H. A., & Jaradat, M. (2021). The impact of game-based learning (GBL) on students’ motivation, engagement and academic performance on an arabic language grammar course in higher education. Education and Information Technologies, 26, 3251-3278.
Etikan, I., & Babatope, O. (2019). A basic approach in sampling methodology and sample size calculation. Med Life Clin, 1(2), 1006.
Ghani, M. T. A., Hamzah, M., Ramli, S., Ab, W., Daud, A. W., Romli, T. R. M., & Mokhtar, N. N. M. (2019). A questionnaire-based approach on technology acceptance model for mobile digital game-based learning. Journal of Global Business and Social Entrepreneurship (GBSE), 5(14), 11-21.
Gu, G. H., Noh, J., Kim, I., & Jung, Y. (2019). Machine learning for renewable energy materials. Journal of Materials Chemistry A, 7(29), 17096-17117.
Hosman, N. J., Supian, F. L., Wei, T. S., Mohamad, S. A. M. S., Azmi, M. S. M., & Mohtar, L. E. (2022). Development of Technology-Embedded Solar Energy STEM (SESTEM) Module among Universiti Pendidikan Sultan Idris (UPSI) diploma science students. Journal of Physics: Conference Series, 2309(1), 012076.
Huenteler, J., Niebuhr, C., & Schmidt, T. S. (2016). The effect of local and global learning on the cost of renewable energy in developing countries. Journal of Cleaner Production, 128, 6-21.
Istiyono, E., Mustakim, S. S., Widihastuti, W., Suranto, S., & Mukti, T. S. (2019). Measurement of physics problem-solving skills in female and male students by phystepross. Jurnal Pendidikan IPA Indonesia, 8(2), 170-176.
Kalid, K. S., Ahmad, W. F. W., Amar, M. S. S., Sulisworo, D., Fitrianawati, M., & Subrata, A. C. (2022). An internet of things-based e-learning implementation to support collaborative learning in science subject. Platform: A Journal of Science and Technology, 5(1), 43-53.
Kee, K., Hashim, H., & Ainil Sulaiman, N. (2021). The use of technology in teaching of writing among Malaysian ESL secondary school teachers. Arab World English Journal (AWEJ) Special Issue(7), 314-330.
Kholifah, W., & Fudhla, N. (2023). Technology acceptance model (TAM) of magic book augmented reality by hippo as a reading medium for junior high school students in Padang: A study of students’ perception. Journal of English Language Teaching, 12(2), 425-434.
Kumar, M., Saxena, I., Kumar, J., Kumar, G., & Kapoor, S. (2015). Assessment of lecture strategy with different teaching aids. Journal of clinical and diagnostic research: JCDR, 9(1), CC01.
Kurniawan, D. A., Astalini, A., & Sari, D. K. (2019). An evaluation analysis of students’ attitude towards physics learning at senior high school. Jurnal Penelitian dan Evaluasi Pendidikan, 23(1), 26-35.
Kurniawati, D. M., & Ermawati, F. U. (2020). Analysis students’ conception using Four-Tier diagnostic test for dynamic fluid concepts. Journal of Physics: Conference Series, 1491(1), 012012.
Laine, E., Veermans, M., Gegenfurtner, A., & Veermans, K. (2020). Individual interest and learning in secondary school STEM education. Frontline Learning Research, 8(2), 90-108.
Li, Y., Schoenfeld, A. H., diSessa, A. A., Graesser, A. C., Benson, L. C., English, L. D., & Duschl, R. A. (2019). Design and design thinking in STEM education. Journal for STEM Education Research, 2, 93-104.
Liu, J., & Wang, X. (2021). Plant diseases and pests detection based on deep learning: a review. Plant Methods, 17, 1-18.
Mahmud, M. S., Huang, J. Z., Salloum, S., Emara, T. Z., & Sadatdiynov, K. (2020). A survey of data partitioning and sampling methods to support big data analysis. Big Data Mining and Analytics, 3(2), 85-101.
Malavoloneque, G., & Costa, N. (2022). Physics education and sustainable development: A study of energy in a glocal perspective in an Angolan initial teacher education school. Frontiers in Education, 6, 639388.
Malik, S. A., & Ayop, A. R. (2020). Solar energy technology: Knowledge, awareness, and acceptance of B40 households in one district of Malaysia towards government initiatives. Technology in Society, 63, 101416.
Malikovna, K. R. N., Mirsharapovna, S. Z., Shadjalilovna, S. M., & Kakhramonovich, A. A. (2022). Types of interactive methods in teaching english to students. Texas Journal of Multidisciplinary Studies, 14, 1-4.
Mater, N. R., Haj Hussein, M. J., Salha, S. H., Draidi, F. R., Shaqour, A. Z., Qatanani, N., & Affouneh, S. (2022). The effect of the integration of STEM on critical thinking and technology acceptance model. Educational Studies, 48(5), 642-658.
Mirna, M., Dwina, F., & Khairani, K. (2020). Students’ characteristics, learning outcomes and needs of geometry media tools in junior high school at Padang. Journal of Physics: Conference Series, 1554(1), 012051.
Mutambara, D., & Bayaga, A. (2021). Determinants of mobile learning acceptance for STEM education in rural areas. Computers & Education, 160, 104010.
Mutambara, D., & Chibisa, A. (2022). Rural STEM preservice teachers’ acceptance of virtual learning. International Journal of Learning, Teaching and Educational Research, 21(2), 155-175.
Nachiappan, S., Rahim, S. A. A., Othman, M., & Balakrishnan, V. D. (2017). Usage of teaching aids in increasing cognition among slow learners through art lessons. Journal of Research, Policy & Practice of Teachers and Teacher Education, 7(1), 12-20.
Naruetharadhol, P., Ketkaew, C., Hongkanchanapong, N., Thaniswannasri, P., Uengkusolmongkol, T., Prasomthong, S., & Gebsombut, N. (2021). Factors affecting sustainable intention to use mobile banking services. Sage Open, 11(3), 21582440211029925.
Neilson, S. J., & Reeves, A. (2019). The use of a theatre workshop in developing effective communication in paediatric end of life care. Nurse education in practice, 36, 7-12.
Nurlina, N., Marisda, D. H., Riskawati, R., Sultan, A. D., Sukmawati, S., & Akram, A. (2022). Assessment on digitalization of basic physics courses: Need analysis on the use of digital-based assessment. Jurnal Pendidikan IPA Indonesia, 11(4), 531-541.
Ong, E. T., Keok, B. L., Yingprayoon, J., Singh, C. K. S., Borhan, M. T., & Tho, S. W. (2020). The effect of 5e inquiry learning model on the science achievement in the learning of “Magnet” among year 3 students. Jurnal Pendidikan IPA Indonesia, 9(1), 1-10.
Purba, R., Herman, H., Purba, A., Hutauruk, A. F., Silalahi, D. E., Julyanthry, J., & Grace, E. (2022). Improving teachers’competence through the implementation of the 21st century competencies in a post-covid-19 pandemic. Jurnal Masyarakat Mandiri, 6(2), 1486-1497.
Rajagukguk, R. A., Ramadhan, R. A., & Lee, H. J. (2020). A review on deep learning models for forecasting time series data of solar irradiance and photovoltaic power. Energies, 13(24), 6623.
Rifandi, R., & Rahmi, Y. L. (2019). STEM education to fulfil the 21st century demand: A literature review. Journal of Physics: Conference Series, 1317(1), 012208.
Rusydiyah, E. F., Indarwati, D., Jazil, S., Susilawati, S., & Gusniwati, G. (2021). Stem learning environment: Perceptions and implementation skills in prospective science teachers. Jurnal Pendidikan IPA Indonesia, 10(1), 138-148.
Shurygin, V., Ryskaliyeva, R., Dolzhich, E., Dmitrichenkova, S., & Ilyin, A. (2022). Transformation of teacher training in a rapidly evolving digital environment. Education and Information Technologies, 27, 3361-3380.
Tho, S. W., Lee, T. T., Baharom, S., Supian, F. L., Abdullah, N. S. Y., & Zainal Abidin, N. A. S. (2019). The pilot implementation using an adapted technology acceptance model to evaluate an innovative use of smartphone for scientific investigation programme in tertiary education. Proceedings of the 27th International Conference on Computers in Education, 429-434.
Wang, H., Lei, Z., Zhang, X., Zhou, B., & Peng, J. (2019). A review of deep learning for renewable energy forecasting. Energy Conversion and Management, 198, 111799.
Wicaksono, A. G. (2020). Penyelenggaraan pembelajaran IPA berbasis pendekatan STEM dalam menyongsong era revolusi industri 4.0. LENSA (Lentera Sains): Jurnal Pendidikan IPA, 10(1), 54-62.
Zakaria, N. A., Supian, F. L., & Darus, M. M. (2022). Developing an energy band gap model and its usability from the perspective of physics undergraduate students. Journal of Physics: Conference Series, 2309(1), 012099.
Zaki, N. A. A., Zain, N. Z. M., Noor, N. A. Z. M., & Hashim, H. (2020). Developing a conceptual model of learning analytics in serious games for STEM education. Jurnal Pendidikan IPA Indonesia, 9(3), 330-339.
Zhao, J., Wijaya, T. T., Mailizar, M., & Habibi, A. (2022). Factors influencing student satisfaction toward STEM education: Exploratory study using structural equation modeling. Applied Sciences, 12(19), 9717.
Zin, T. T., Thant, S., Pwint, M. Z., & Ogino, T. (2021). Handwritten character recognition on android for basic education using convolutional neural network. Electronics, 10(8), 904.
Zubair, A. R., & Folorunso, S. S. (2020). Education during covid-19 lockdown and social distancing: Programmable teaching aid for amplitude modulation theory as a case study. International Journal of Computer Applications, 175(33), 11-29.
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