Computational thinking (CT) is one of the systematic tools in problem solving and widely accepted
as an important skill in the 21st century. This study aimed to identify the effectiveness of the
Chemistry Computational Thinking (CT-CHEM) Module on achievement in chemistry. This study
also employed a quasi-experimental design with the participation of 85 form four students in
Malaysia. The three types of teaching approaches, namely CT-CHEM Module Plugged-in (CTMP),
CT-CHEM Module Unplugged + Plugged-in (CTMUP) and conventional method (CM), were
systematically designed and implemented. The achievement of students was measured using an
achievement test, where validity and reliability were justified and two-way ANCOVA was used to
analyse the data. Findings confirmed that the achievement of students in chemistry is significantly
higher in the CTMP group as compared with the CTMUP and CM groups. Instead, gender had no
significant effect on students’ chemistry achievement. This study concludes that when students
were exposed to teaching and learning strategies by integrated CT through plugged-in strategy
more effective than a combination of plugged-in and unplugged. Plugged-in visualisation
activities are more effective in increasing the understanding and achievement of students
compared with the combination of plugged-in and unplugged activities. Plugged-in through
visualisation activities is more effective than the combination of plugged-in and unplugged. This
is because, the abstract concept in electrochemistry is easier to understand by students through
the visualisation activity approach using a computer in explaining the important concepts in the
topic and because the whole content is interrelated.
REFERENCES(103)
1.
Adesoji, F. A, & Omilani, N. A. (2012). A Comparison of Secondary Schools Students’ Levels of Conception of Qualitative and Quantitative Inorganic Analysis. American Journal of Scientific and Industrial Research, 3(2), 56-61.
Adesoji, F. A., Omilani, N. A., & Dada, S. O. (2017). A Comparison of Perceived and Actual; Students’ Learning Difficulties in Physical Chemistry. International Journal of Brain and Cognitive Sciences, 6(1), 1-8.
Alice, K., et al. (2008). Teori Kognitif Dan Implikasi Dalam Pengajaran Dan Pembelajaran [Cognitive Theory and Implications in Teaching and Learning]. In A. M. Yosof, et al. (Eds.), Pengetahuan Pedagogi Guru (pp. 101-1013). Kuala Lumpur: Universiti Malaysia Sabah.
Barr, D., Harrison, J., & Conery, L. (2011). Computational Thinking: A Digital Age Skill for Everyone. Learning and Leading with Technology, 38(6), 20-23.
Barr, V., & Stephenson, C. (2011). Bringing Computational Thinking to K-12: What Is Involved and What Is the Role of the Computer Science Education Community? ACM Inroads, 2(1), 48-54. https://doi.org/10.1145/192988....
Basawapatna, A., Repenning, A., Koh, K. H., & Nickerson, H. (2013). The Zones of Proximal Flow: Guiding Students Through a Space of Computational Thinking Skills and Challenges. In ICER '13: Proceedings of the ninth annual international ACM conference on International computing education research (pp. 67–74). https://doi.org/10.1145/249339....
Basu, S., Biswas, G., & Kinnebrew, J. S. (2017). Learner Modeling for Adaptive Scaffolding in a Computational Thinking-Based Science Learning Environment. User Modeling and User-Adapted Interaction, 27(1), 5-53.
Bers, M. U. (2018). Coding and Computational Thinking in Early Childhood: The Impact of ScratchJr in Europe. European Journal of STEM Education, 3(3), 8.
Bers, M. U., Flannery, L., Kazakoff, E. R., & Sullivan, A. (2014). Computational Thinking and Tinkering: Exploration of an Early Childhood Robotics Curriculum. Computer & Education, 72, 145–157.
Bicer, A., et al. (2015). STEM Schools vs. Non-STEM Schools: Comparing Students’ Mathematics Growth Rate on High-Stakes Test Performance. International Journal on New Trends in Education and Their Implications, 6(1), 138-150.
Brackmann, C. P., et al. (2017). Development of Computational Thinking Skills through Unplugged Activities in Primary School. In WiPSCE '17: Proceedings of the 12th Workshop on Primary and Secondary Computing Education (pp. 65-72).
Brand, B. R. (2020). Integrating Science and Engineering Practices: Outcomes from a Collaborative Professional Development. International Journal of STEM Education, 7(1), 13. https://doi.org/10.1186/s40594....
Curzon, P., McOwan, P. W., Cutts, Q. I., & Bell, T. (2009). Enthusing & Inspiring with Reusable Kinaesthetic Activities. In Proceedings of the Conference on Integrating Technology into Computer Science Education, ITiCSE (pp. 94-98).
Faber, H. H., Wierdsma, M. D. M., Doornbos, R. P., & Van der Ven, J. S. (2017). Teaching Computational Thinking to Primary School Students via Unplugged Programming Lessons. Journal of the European Teacher Education Network, 12, 13-24.
Gambari, I. A., Gbodi, B. E., Olakanmi, E. U., & Abalaka, E. N. (2016). 7 Contemporary educational technology Promoting Intrinsic and Extrinsic Motivation among Chemistry Students Using Computer-Assisted Instruction. Retrieved from https://files.eric.ed.gov/full....
García Peñalvo, G., et al. (2016). An Overview of the Most Relevant Literature on Coding and Computational Thinking with Emphasis on the Relevant Issues for Teachers. Belgium: TACCLE3 Consortium. Retrieved from https://repositorio.grial.eu/b....
Garnett, P. J., & Treagust, D. F. (1992a). Conceptual Difficulties Experienced by Senior High School Students of Electrochemistry: Electric Circuits and Oxidation- Reduction Equations. Journal of Research in Science Teaching, 29(2), 121-142. https://doi.org/10.1002/tea.36....
Garnett, P. J., & Treagust, D. F. (1992b). Conceptual Difficulties Experienced by Senior High School Students of Electrochemistry: Electrochemical (Galvanic) and Electrolytic Cells. Journal of Research in Science Teaching, 29(10), 1079-1099.
Gilbert, J.K. & Treagust, D.F. 2009. Introduction: Macro, submicro and symbolic representations and the relationship between them: Key models in chemical education. In J. K. Gilberth & D. Treagust (eds.). Multiple Representations in Chemical Education (Vol. 4 pp. 1-10). Netherland: Springer. https://doi.org/10.1007/978-1-....
Grover, S., & Pea, R. (2013). Computational Thinking in K–12: A Review of the State of the Field. Educational Researcher, 42(1), 38-43. https://doi.org/10.3102/001318....
Gulacar, O., & Bowman, C. R. (2014). Determining What Our Students Need Most: Exploring Student Perceptions and Comparing Difficulty Ratings of Students and Faculty. Chemistry Education Research and Practice, 15, 587-593. https://doi.org/10.1039/C4RP00....
Gulacar, O., Milkey, A., & McLane, S. (2019). Exploring the Effect of Prior Knowledge and Gender on Undergraduate Students’ Knowledge Structures in Chemistry. Eurasia Journal of Mathematics, Science and Technology Education, 15(8), em1726. https://doi.org/10.29333/ejmst....
Haseski, H. I., Ilic, U., & Tugtekin, U. (2018). Defining a New 21st Century Skill-Computational Thinking: Concepts and Trends. International Education Studies, 11(4), 29. http://www.ccsenet.org/journal....
Hundhausen, C. D., Douglas, S. A., & Stasko, J. T. (2002). A Meta-Study of Algorithm Visualization Effectiveness. Journal of Visual Languages and Computing, (13), 259-290.
Johnson, D. W., & Johnson, R. T. (2013). The Impact of Cooperative, Competitive, and Individualistic Learning Environments on Academic Achievement. In J. Hattie, & E. Anderman (Eds.), International handbook of student achievement.
Johnson, D. W., Johnson, R. T., & Smith, K. A. (2014). Cooperative Learning: Improving University Instruction by Basing Practice on Validated Theory. Journal on Excellence in College Teaching, 25(3&4), 85-118.
Johnson, D. W., Qin, Z., & Johnson, R. T. (1995). Cooperative versus Competitive Efforts and Problem Solving. American Educational Research Association and SAGE, 65(2), 129-143.
Jong, O. D., & Treagust, D. F. (2002). The Teaching and Learning of Electtrochemistry. In J. K. Gilbert et al. (Eds.), Chemical Education: Towards Research-Based Practice (pp.317-337). New York: Kluwer Academic Publishers.
Kalelioğlu, F., & Gülbahar, Y. (2014). The Effects of Teaching Programming via Scratch on Problem Solving Skills: A Discussion from Learners’ Perspective. Informatics in Education, 13(1), 33-50.
Kalogiannakis, M., & Papadakis, S. (2017). Pre-service kindergarten teachers acceptance of “scratchjr” as a tool for learning and teaching computational thinking and science education. Retrieved from https://keynote.conference-ser....
Kamisah, O., & Lay, A. N. (2020). MyKimDG Module: An Interactive Platform towards Development of Twenty-First Century Skills and Improvement of Students’ Knowledge in Chemistry. Interactive Learning Environments, 1–14. Published online: 26 Feb 2020. https://doi.org/10.1080/104948....
Kamisah, O., & Lee, T. T. (2013). Impact of Interactive Multimedia Module with Pedagogical Agents on Students’ Understanding and Motivation in the Learning of Electrochemistry. International Journal of Science and Mathematics Education, 12(2), 395-421.
Lay, A. N., & Kamisah, O. (2017). Developing 21st Century Skills through a Constructivist-Constructionist Learning Environment. K-12 STEM Education, 3(2), 205-216.
Leon, J. M., & Robles, G. (2015). Analyze Your Scratch Projects with Dr. Scratch and Assess Your Computational Thinking Skills. Retrieved from http://jemole.me/replication/2....
Levy Nahum, T., Hofstein, A., Mamlok-Naaman, R., & Bar-Dov, Z. (2004). Research report (empirical study) can final examinations amplify students’ misconceptions in chemistry? Chemistry education: research and practice, 5(3), 301-325.
Lye, S. Y., & Koh, J. H. L. (2014). Review on Teaching and Learning of Computational Thinking through Programming: What Is next for K-12? Computers in Human Behavior, 41, 51-61. https://doi.org/10.1016/j.chb.....
Maloney, J., et al. (2010). The Scratch Programming Language and Environment. ACM Transactions on Computing Education, 10(4), 16. https://doi.org/10.1145/186835....
Mann, A., & DiPrete, T. A. (2013). Trends in Gender Segregation in the Choice of Science and Engineering Majors. Social Science Research, 42(6), 1519-1541. https://doi.org/10.1016/j.ssre....
Mannila, L., Dagiene, V., Demo, B., & Settle, A. (2014). Computational Thinking in K-9 Education. In ITiCSE-WGR '14: Proceedings of the Working Group Reports of the 2014 on Innovation & Technology in Computer Science Education Conference (pp. 1-29). https://doi.org/10.1145/271360....
Mellström, U. (2009). The Intersection of Gender, Race and Cultural Boundaries, or Why Is Computer Science in Malaysia Dominated by Women? Social Studies of Science, 39(6), 885-907.
Meng, C. C., Idris, N., & Eu, L. K. (2014). Secondary Students' Perceptions of Assessments in Science, Technology, Engineering, and Mathematics (STEM). Eurasia Journal of Mathematics, Science and Technology Education, 10(3), 219-227. https://doi.org/10.12973/euras....
Ministry of Education (MOE). (2012). Integrated Curriculum for Secondary Schools Curriculum: Specifications Chemistry Form 4. Putrajaya: Curriculum Development Centre.
Ministry of Education (MOE). (2016b). PISA 2015: Programme for International Student Assesment. Putrajaya: Educational Planning and Research Division (EPRD).
Moreno-León, J., Robles, G., & González, M. R. (2015). Dr. Scratch: Automatic Analysis of Scratch Projects to Assess and Foster Computational Thinking. RED-Revista de Educación a Distancia. Número, 46, 1-23.
Nelson, T. H., et al. (2015). Supporting Middle School Teachers’ Implementation of STEM Design Challenges. School Science and Mathematics, 116(4), 177-188.
Olabe, J. C., et al. (2014). Solving Math and Science Problems in the Real World with a Computational Mind. New approaches in education research, 3(2), 75-82.
Papadakis, S. J., Kalogiannakis, M., Zaranis, N., & Papadakis, S. (2016). Developing Fundamental Programming Concepts and Computational Thinking with ScratchJr in Preschool Education: A Case Study. International Journal of Mobile Learning and Organisation, 10(3), 187-202.
Pellegrino, J. W., & Hilton, M. L. (2012). Education for Life and Work: Developing Transferable Knowledge and Skills in the 21 St Century. Washington, USA: The National Academies of Press.
Psycharis, S. (2018). Steam in Education: A Literature Review on the Role of Computational Thinking, Engineering Epistemology and Computational Science. Computational STEAM Pedagogy (Csp). S. Psycharis Scientific Culture, 4(2), 51-72.
Psycharis, S., & Kotzampasaki, E. (2019). The Impact of a STEM Inquiry Game Learning Scenario on Computational Thinking and Computer Self-confidence. Eurasia Journal of Mathematics, Science and Technology Education, 15(4), em1689. https://doi.org/10.29333/ejmst....
Qin, H. (2009). Teaching Computational Thinking through Bioinformatics to Biology Students. In SIGCSE’09 - Proceedings of the 40th ACM Technical Symposium on Computer Science Education (pp. 188-191).
Reddy, L. (2020). An Evaluation of Undergraduate South African Physics Students’ Epistemological Beliefs When Solving Physics Problems. Eurasia Journal of Mathematics, Science and Technology Education, 16(5), em1844. https://doi.org/10.29333/ejmst....
Reichert, J. T., Couto Barone, D. A., & Kist, M. (2020). Computational Thinking in K-12: An analysis with Mathematics Teachers. Eurasia Journal of Mathematics, Science and Technology Education, 16(6), em1847. https://doi.org/10.29333/ejmst....
Resnick, M., Maloney, J., Monroy-Hernández, A., Rusk, N., Eastmond, E., Brennan, K., Millner, A., Rosenbaum, E., Silver, J., Silverman, B. & Kafai, Y. (2009). Scratch: Programming for all. Communications of the ACM, 52(11), 60-67.
Rodriguez, B., Kennicutt, S., Rader, C., & Camp, T. (2017). Assessing Computational Thinking in CS Unplugged Activities. In Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education - SIGCSE ’17 (pp. 501-506). New York, New York, USA: ACM Press.
Rodriguez, B., Rader, C., & Camp, T. (2016). Using Student Performance to Assess CS Unplugged Activities in a Classroom Environment. In ITiCSE '16: Proceedings of the 2016 ACM Conference on Innovation and Technology in Computer Science Education (pp. 95-100). https://doi.org/10.1145/289941....
Roziah, A. (2005). Pembangunan Dan Keberkesanan Pakej Multimedia Kemahiran Berfikir Bagi Mata Pelajaran Kimia [Development and Effectiveness of Thinking Skills Multimedia Package for Chemistry Subjects] (PhD Thesis), Universiti Kebangsaan Malaysia.
Rubiah, M. (2016). Implementation of Problem Based Learning Model in Concept Learning Mushroom as a Result of Student Learning Improvement Efforts Guidelines for Teachers. Journal of Education and Practice, 7(22), 26-30.
Salihuddin, Md S., et al. (2016). Enhancing Student’s Higher Order Thinking Skills (HOTS) through the Socratic Method Approach with Technology. In 1st ICRIL-International Conference on Innovation in Science and Technology, Kuala Lumpur: Universiti Teknologi Malaysia, Kuala.
Samri, C., Kamisah, O., & Anuar, N. N. (2020). Level of Computational Thinking Skills among Secondary Science Student: Variation across Gender and Mathematics Achievement. International Council of Association for Science Education, 31(2), 159-163.
Savery, J. R. (2006). Overview of Problem-Based Learning: Definitions and Distinctions. The Interdisciplinary Journal of Problem-based Learning, 1(1), 9-20.
Schmidth, H.-J., Marohn, A., & Harrison, A. G. (2007). Factors That Prevent Learning in Electrochemistry. Journal of Research in Science Teaching, 44(2), 258-283.
Shakhman, L., & Barak, M. (2019). The Physics Problem-Solving Taxonomy (PPST): Development and Application for Evaluating Student Learning. Eurasia Journal of Mathematics, Science and Technology Education, 15(11), em1764. https://doi.org/10.29333/ejmst....
Shirey, K. L. (2017). Teacher Productive Resources for Engineering Design Integration in High School Physics Nstruction (Fundamental). In Proceedings of the 2017 ASEE Annual Conference, Columbus.
Shute, V. J., Sun, C., & Clarke, J. A. (2017). Demystifying Computational Thinking. Educational Research Review, 22, 142-158. https://doi.org/10.1016/j.edur....
Smit, K., De Brabander, C. J., & Martens, R. L. (2016). Scandinavian Journal of Educational Research Student-Centred and Teacher-Centred Learning Environment in Pre-Vocational Secondary Education: Psychological Needs, and Motivation. Scandinavian Journal of Educational Research, 58(6), 695-712.
Smith, S., & Burrow, L. E. (2016). Programming Multimedia Stories in Scratch to Integrate Computational Thinking and Writing with Elementary Students. Journal of Mathematics Education, 9(2), 119-131.
Sridaran, R., & Shailaja, J. (2015). Computational Thinking, the Intellectual Thinking for the 21st Century. International Journal of Advanced Networking Applications (IJANA), 39-46.
Stevens, R. J., & Slavin, R. E. (1995). The Cooperative Elementary School: Effects on Students’ Achievement, Attitudes, and Social Relations. American Educational Research Journal, 32(2), 321-351. https://doi.org/10.3102/000283....
Su, A. Y. S., et al. (2014). Investigating the Role of Computer-Supported Annotation in Problem-Solving-Based Teaching: An Empirical Study of a Scratch Programming Pedagogy. British Journal of Educational Technology, 45(4), 647-665.
Sustekova, E., Kubiatko, M., & Usak, M. (2019). Validation of Critical Thinking Test on Slovak Conditions. Eurasia Journal of Mathematics, Science and Technology Education, 15(12), em1798. https://doi.org/10.29333/ejmst....
Tanujaya, B., Mumu, J., & Margono, G. (2017). The Relationship between Higher Order Thinking Skills and Academic Performance of Student in Mathematics Instruction. International Education Studies, 10(11), 78.
Telegina, N. V., Drovosekov, S. E., Vasbieva, D. G., & Zakharova, V. L. (2019). The Use of Project Activity in Teaching Mathematics. Eurasia Journal of Mathematics, Science and Technology Education, 15(8), em1738. https://doi.org/10.29333/ejmst....
Thies, R., & Vahrenhold, J. (2013). On Plugging ‘Unplugged’ into CS Classes. In SIGCSE 2013 - Proceedings of the 44th ACM Technical Symposium on Computer Science Education (pp. 365-370).
Tsarava, K., et al. (2017). Training Computational Thinking: Game-Based Unplugged and Plugged-in Activities in Primary School. In Proceedings of 11th European Conference on Game-Based Learning ECGBL 2017 (pp. 687-695).
Vitores, A., & Gil-juárez, A. (2016). The Trouble with ‘Women in Computing’: A Critical Examination of the Deployment of Research on the Gender Gap in Computer Science. Journal of Gender Studies, 25(6), 666-680. https://doi.org/10.1080/095892....
Voogt, J., Erstad, O., Dede, C., & Mishra, P. (2013). Challenges to Learning and Schooling in the Digital Networked World of the 21st Century. Journal of Computer Assisted Learning, 29, 403-413.
Voogt, J., et al. (2015). Computational Thinking in Compulsory Education: Towards an Agenda for Research and Practice. Education and Information Technologies, 20, 715-728.
Vygotsky, L. S. (1978). Mind in Society: The Development of Higher Psychological Processes (M. Cole, V. J. Steiner, & S. Ellen, Eds.). Harvard University Press.
Yadav, A., Hong, H., & Stephenson, C. (2016). Computational Thinking for All: Pedagogical Approaches to Embedding 21st Century Problem Solving in K-12 Classrooms. TechTrends, 60, 565-568.
Yasar, O., Veronesi, P., Maliekal, J., Little, L. J., Vattana, S. E., & Yeter, I. H. (2016). Computational Pedagogy: Fostering a New Method of Teaching. Computer in Education Journal, 16(3), 51-72.
Yochum, S. M., & Luoma, J. R. (1995). Augmenting a Classical Electrochemical Demonstration. Journal of Chemistry Education, 72(1), 55-56. https://doi.org/10.1021/ed072p....
You, S. (2013). Gender and Ethnic Differences in Precollege Mathematics Coursework Related to Science, Technology, Engineering, and Mathematics (STEM) Pathways. School Effectiveness and School Improvement, 24(1), 64-86.
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.