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Jurnal Inovasi Pendidikan IPA

Keywords

Conceptual Change Text (CCT), Contextual, Misconception, Energy Cycle, Environmental pollution

Document Type

Article

Abstract

For Elementary School Teacher Education (PGSD) students, the introductory science concept course is part of the compulsory course. The understanding of PGSD students in basic science concepts will affect the quality of learning in the classroom. This research was conducted in odd semesters with 60 students who attended lectures on basic science concepts, and the sample selection was made randomly. To collect data on the effectiveness of the implementation of CCT, instruments used in the form of cognitive and clinical test questions have gone through validation and reliability tests. Students were divided into two groups in the study: the experimental group using CCT-based contextual learning as teaching materials and the control class using ordinary teaching materials. Based on the N-Gain data found in the field, there was a significant difference between the experimental and control groups; the control class had an N-Gain value of 0.54, while the experimental class was 0.81. The data revealed that learning using CCT successfully increased students' understanding of concepts in the material cycle and created a better environment compared to the control class. However, based on interview data, both experimental and control class students were interested in learning the concept of the energy cycle and environmental pollution, and there was no significant difference.

First Page

171

Last Page

181

Page Range

171-181

Issue

2

Volume

7

Digital Object Identifier (DOI)

10.21831/jipi.v7i2.44034

Source

https://journal.uny.ac.id/index.php/jipi/article/view/44034

References

Alauddin, M., Ashman, A., Nghiem, S., & Lovell, K. (2017). What determines students' expectations and preferences in university teaching and learning? An instrumental variable approach. Economic Analysis and Policy, 56, 18-27. https://doi.org/10.1016/j.eap.2017.06.002

Bernacki, M. L., Crompton, H., & Greene, J. A. (2020). Towards convergence of mobile and psychological theories of learning. Contemporary Educational Psychology, 60, 101828.

Chen, X., Zou, D., Cheng, G., & Xie, H. (2020). Detecting latent topics and trends in educational technologies over four decades using structural topic modeling: A retrospective of all volumes of Computers & Education. Computers & Education, 151, 103855. https://doi.org/10.1016/j.compedu.2020.103855

Förtsch, C., Werner, S., von Kotzebue, L., & Neuhaus, B. J. (2018). Effects of high-complexity and high-cognitive-level instructional tasks in biology lessons on students' factual and conceptual knowledge. Research in Science and Technological Education, 36(3), 353-374. https://doi.org/10.1080/02635143.2017.1394286

Hake, R. R. (1999). Analyzing change/gain scores. AREA-D American education research association's devision. D. Measurement and Reasearch Methodology.

Kim, J. (2020). Learning and teaching online during Covid-19: Experiences of student teachers in an early childhood education practicum. International Journal of Early Childhood, 52(2), 145-158. https://doi.org/10.1007/s13158-020-00272-6

King, D., & Henderson, S. (2018). Context-based learning in the middle years: achieving resonance between the real-world field and environmental science concepts. International Journal of science education, 40(10), 1221-1238. https://doi.org/10.1080/09500693.2018.1470352

Lazenby, K., Rupp, C. A., Brandriet, A., Mauger-Sonnek, K., & Becker, N. M. (2019). Undergraduate chemistry students' conceptualization of models in general chemistry. Journal of Chemical Education, 96(3), 455-468. https://doi.org/10.1021/acs.jchemed.8b00813

Li, Y., & Schoenfeld, A. H. (2019). Problematizing teaching and learning mathematics as "given" in STEM education. International Journal of STEM Education, 6(1), 1-13. https://doi.org/10.1186/s40594-019-0197-9

Potvin, P. (2021). Response of science learners to contradicting information: A review of research. Studies in Science Education, 1-42. https://doi.org/10.1080/03057267.2021.2004006

Seo, J., Choi, A., & Sung, M. (2021). Recommendation of indoor luminous environment for occupants using big data analysis based on machine learning. Building and Environment, 198, 107835. https://doi.org/10.1016/j.buildenv.2021.107835

Shahzad, A., Hassan, R., Aremu, A. Y., Hussain, A., & Lodhi, R. N. (2021). Effects of COVID-19 in E-learning on higher education institution students: the group comparison between male and female. Quality & quantity, 55(3), 805-826. https://doi.org/10.1007/s11135-020-01028-z

Stender, A., Schwichow, M., Zimmerman, C., & Härtig, H. (2018). Making inquiry-based science learning visible: the influence of CVS and cognitive skills on content knowledge learning in guided inquiry. International Journal of Science Education, 40(15), 1812-1831. https://doi.org/10.1080/09500693.2018.1504346

Supena, I., Darmuki, A., & Hariyadi, A. (2021). The influence of 4C (Constructive, Critical, Creativity, Collaborative) learning model on students' learning outcomes. International Journal of Instruction, 14(3), 873-892. https://doi.org/10.29333/iji.2021.14351a

Sukmawati, W. (2019). Analisis level makroskopis, mikroskopis dan simbolik mahasiswa dalam memahami elektrokimia Analysis of macroscopic, microscopic and symbolic levels of students in understanding electrochemistry. Jurnal Inovasi Pendidikan IPA, 5(2), 195-204. https://doi.org/10.21831/jipi.v5i2.27517

Sukmawati, W. (2020). Techniques adopted in teaching students' organic chemistry course for several years. Jurnal Inovasi Pendidikan IPA, 6(2), 247-256. https://doi.org/10.21831/jipi.v6i2.38094

Sukmawati, W., Kadarohman, A., Sumarna, O., & Sopandi, W. (2021). Analysis of reduction of COD (Chemical Oxygen Demand) levels in tofu waste using activated sludge method. Moroccan Journal of Chemistry, 9(2), 339-345. https://doi.org/10.48317/IMIST.PRSM/morjchem-v9i2.27586

Tanti, T., Kurniawan, D. A., & Ningsi, A. P. (2020). Description of students' science process skills on density material. Jurnal Inovasi Pendidikan IPA, 6(2), 156-164. https://doi.org/10.21831/jipi.v6i2.33862

Ungtrakul, T., Lamlertthon, W., Boonchoo, B., & Auewarakul, C. (2020). Virtual Multiple Mini-Interview during the COVID-19 Pandemic. Medical Education, 54(8), 764-765. https://doi.org/10.1111/medu.14207

VanPatten, B., Williams, J., Keating, G. D., & Wulff, S. (2020). Introduction: The nature of theories. In Theories in second language acquisition. Routledge.

Veteska, J., Kursch, M., Svobodova, Z., Tureckiova, M., Paulovcakova, L. (2022). Longitudinal Co-teaching Projects: Scoping Review. In: Ifenthaler, D., Isaías, P., Sampson, D.G. (eds) Orchestration of Learning Environments in the Digital World. Cognition and Exploratory Learning in the Digital Age. Springer, Cham. https://doi.org/10.1007/978-3-030-90944-4_3

Wati Sukmawati, Asep Kadarohman, Omay Sumarna, W. S. (2021). The relationship of basic chemical concepts in pharmaceutical learning. Journal of Engineering Science and Technology, 42-48.

Wati Sukmawati, Asep Kadaroman, Omay Suwarna, W. S. (2020). Development of teaching materials based on conceptual change text on redox materials for basic chemicals on redox concept. Edusains, 12(2), 243-251. https://doi.org/10.15408/es.v12i2.15090

Xu, B., Chen, N. S., & Chen, G. (2020). Effects of teacher role on student engagement in WeChat-Based online discussion learning. Computers & Education, 157, 103956. https://doi.org/10.1016/j.compedu.2020.103956

Zhang, L. J., & Zhang, D. (2020). Dialogic discussion as a platform for constructing knowledge: student-teachers' interaction patterns and strategies in learning to teach English. Asian-Pacific Journal of Second and Foreign Language Education, 5(1), 1-24. https://doi.org/10.1186/s40862-020-00101-2

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