American Journal of Educational Research
ISSN (Print): 2327-6126 ISSN (Online): 2327-6150 Website: https://www.sciepub.com/journal/education Editor-in-chief: Ratko Pavlović
Open Access
Journal Browser
Go
American Journal of Educational Research. 2024, 12(4), 159-163
DOI: 10.12691/education-12-4-5
Open AccessArticle

Modelling the Interplay of Science Teaching Dimensions from the Lenses of Science Educators

Charmaine Ruth G. Abella1, 2, , Krisel M. Anoling1, 3, Peter Paul S. Cagatao1 and Romiro G. Bautista1, 4

1Graduate School, University of La Salette, Inc., Santiago City, Philippines

2College of Teacher Education, Quirino State University-Madella Campus, Madella, Quirino, Philippines

3Records Office, Isabela State University-Jones Campus, Jones, Isabela, Philippines

4International Relations Office, Quirino State University-Main Campus, Diffun, Quirino, Philippines

Pub. Date: April 17, 2024

Cite this paper:
Charmaine Ruth G. Abella, Krisel M. Anoling, Peter Paul S. Cagatao and Romiro G. Bautista. Modelling the Interplay of Science Teaching Dimensions from the Lenses of Science Educators. American Journal of Educational Research. 2024; 12(4):159-163. doi: 10.12691/education-12-4-5

Abstract

Exploring the multifaceted realm of science education, this study investigates the nuanced dimensions of teaching science through the perspectives of educators. By scrutinizing critical perspectives, theoretical foundations, practical teaching methods, technology integration, assessment and feedback, and hands-on practices, the research aims to uncover the intricate dynamics shaping effective science instruction. The findings reveal significant direct effects among selected constructs, particularly with Conceptual Perspectives (CP) influencing Theoretical Perspectives (TP) and TP impacting Assessment and Feedback (AF). These notable effects underscore the necessity for targeted policies and interventions to enhance science teaching, especially in response to global assessments like PISA, highlighting a critical imperative for improved science education performance in the Philippines. As the study advocates for strategic efforts to elevate science education, its implications extend beyond the local context. The insights contribute not only to the local discourse but also resonate globally, aligning with international benchmarks such as PISA. This imperative for improved science education underscores the study's significance, guiding educational stakeholders toward effective strategies to enhance the quality of science instruction in the Philippines and beyond. Furthermore, the study emphasizes the pivotal role of targeted interventions and policies in addressing the identified constructs, advancing science education on both local and global scales.

Keywords:
Assessment Educational Technology Hands-on Science science education

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

References:

[1]  Anoling, KM., Abella, CRG., Cagatao, PPS., & Bautista, RG. (2024). Critical perspectives, theoretical foundations, practical teaching, technology integration, assessment and feedback, and hands-on practices in science education. American Journal of Educational Research, 12(1), 20-27.
 
[2]  Shah, Rajendra Kumar, “Effective Constructivist Teaching Learning in the Classroom.” Shanlax International Journal of Education, vol. 7, no. 4, 2019, pp. 1–13.
 
[3]  Mensah, E. (2015). Exploring Constructivist Perspectives in the College Classroom. SAGE Open, 5(3).
 
[4]  Chin, C. (2004). Students' questions: fostering a culture of inquisitiveness in science classrooms. The School science review, 86, 107-112.
 
[5]  Pedrosa-de-Jesus, Helena & Moreira, Aurora & Lopes, Betina & Watts, D. (2014). So much more than just a list: Exploring the nature of critical questioning in undergraduate sciences. Research in Science & Technological Education. 32. 10.1080/ 02635143.2014.902811.
 
[6]  Forawi, S. (2016). Standard-based science education and critical thinking. Thinking Skills and Creativity, 20, 52-62.
 
[7]  Kolstø, S.D., Bungum, B., Arnesen, E.K., Isnes, A., Kristensen, T., Mathiassen, K., Mestad, I., Quale, A., Tonning, A.S., & Ulvik, M. (2006). Science students' critical examination of scientific information related to socioscientific issues. Science Education, 90, 632-655.
 
[8]  Guerrero, JS., & Bautista, RG. (2023). Inquiry-based teaching in secondary science. International Journal of Social Science & Humanities, 8(2), 146-154.
 
[9]  Bagay, MC., Ursua, RRR., Abellera, MAA., Baldovino, RJG., Concepcion, RAP ., Galapon, VS., & Bautista, RG. (2023). Problem-based learning in teaching science. Journal of Innovations in Teaching and Learning, 3(1), 7-14.
 
[10]  Vallerio, ZV., Tobias, JCZ., Tillay, JN., Dumangeng, AP., Pumihic, VT., & Bautista, RG. (2023). Science teaching and learning conceptions towards teachers’ sense of efficacy. American Journal of Educational Research, 11(2), 79-83.
 
[11]  Libao, NJP., Sagun, JJB., Tamangan, EA., Pattalitan, APP., Dupa, MED., & Bautista, RG. (2016). Science learning motivations as correlate of students’ academic performances. Journal of Technology and Science Education, 6(3), 209-218.
 
[12]  Legaspi, JME., Perhilliana, CO., Camayang, JG., Garingan, EG., Velasco, MKGT., Ursua, JC., & Bautista, RG. (2020). Scientific Learning Motivations as Predictors of Pre-service Elementary Grade Teachers’ Authentic Assessment Practices in Science. American Journal of Educational Research, 8(3), 150-154.
 
[13]  Discipulo, LG., & Bautista, RG. (2022). Students’ cognitive and metacognitive learning strategies towards hands-on science. International Journal of Evaluation and Research in Education, 11(2), 658-664.
 
[14]  Ligado, FNG., Guray, ND., & Bautista, RG. (2022). Pedagogical beliefs, techniques, and practices towards hands-on science. American Journal of Educational Research, 10(10), 584-591.
 
[15]  Ke, L., Sadler, T. D., Zangori, L., & Friedrichsen, P. J. (2021). Developing and using multiple models to promote scientific literacy in the context of socio-scientific issues. Science & Education, 30(3), 589-607.
 
[16]  Tytler, R., Prain, V., Hubber, P., & Waldrip, B. (Eds.). (2013). Constructing representations to learn in science. Springer Science & Business Media.
 
[17]  Campbell, T., Oh, P. S., Maughn, M., Kiriazis, N., & Zuwallack, R. (2015). A review of modeling pedagogies: Pedagogical functions, discursive acts, and technology in modeling instruction. Eurasia Journal of Mathematics, Science and Technology Education, 11(1), 159-176.
 
[18]  Haskel‐Ittah, M. (2023). Explanatory black boxes and mechanistic reasoning. Journal of research in science teaching, 60(4), 915-933.
 
[19]  Hodson, D. (2013). Nature of science in the science curriculum: Origin, development, implications and shifting emphases. In International handbook of research in history, philosophy and science teaching (pp. 911-970). Dordrecht: Springer Netherlands.
 
[20]  Upmeier zu Belzen, A., Engelschalt, P., & Krüger, D. (2021). Modeling as scientific reasoning—The role of abductive reasoning for Modeling competence. Education Sciences, 11(9), 495.
 
[21]  Simarro, C., & Couso, D. (2021). Engineering practices as a framework for STEM education: a proposal based on epistemic nuances. International Journal of STEM Education, 8(1), 53.
 
[22]  Adúriz-Bravo, A. (2013). A ‘semantic’view of scientific models for science education. Science & Education, 22, 1593-1611.
 
[23]  Manz, E. (2012). Understanding the codevelopment of modeling practice and ecological knowledge. Science Education, 96(6), 1071-1105.
 
[24]  Zhai, X., He, P., & Krajcik, J. (2022). Applying machine learning to automatically assess scientific models. Journal of Research in Science Teaching, 59(10), 1765-1794.
 
[25]  Eidin, E., Bielik, T., Touitou, I., Bowers, J., McIntyre, C., Damelin, D., & Krajcik, J. (2024). Thinking in terms of change over time: opportunities and challenges of using system dynamics models. Journal of Science Education and Technology, 33(1), 1-28.
 
[26]  Lee, O., & Grapin, S. E. (2022). The role of phenomena and problems in science and STEM education: Traditional, contemporary, and future approaches. Journal of research in science teaching, 59(7), 1301-1309.
 
[27]  Bahtiar, B., Ibrahim, I., & Maimun, M. (2022). Analysis of Students' Scientific Literacy Skill in terms of Gender Using Science Teaching Materials Discovery Model Assisted by PhET Simulation. Jurnal Pendidikan IPA Indonesia, 11(3), 371-386.
 
[28]  Georgiou, Y., & Kyza, E. A. (2023). Fostering chemistry students’ scientific literacy for responsible citizenship through socio-scientific inquiry-based learning (SSIBL). Sustainability, 15(8), 6442.
 
[29]  Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate Data Analysis.
 
[30]  Kline, R. B. (2016). Principles and Practice of Structural Equation Modeling.
 
[31]  Byrne, B. M. (2016). Structural Equation Modeling with AMOS.