Authors : Nduru David Mugambi; Waititu M. Michael; Ndethiu M. Sophia

Volume/Issue : Volume 9 - 2024, Issue 11 - November

Google Scholar : https://tinyurl.com/3ch7vtfa

Scribd : https://tinyurl.com/ru5svfu2

DOI : https://doi.org/10.38124/ijisrt/IJISRT24NOV508

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : There is growing consensus on the integration of investigative experiments in teaching and learning of science subjects, but the implementation of this pedagogical practice continues to challenge many teachers. Investigative Laboratory Instruction is a collaborative process that involves the teacher helping the learners to attain specific skills, knowledge and scientific concepts. The study utilized Quasi-experimental Pretest- Posttest Design. The study sampled 4 sub- county schools, 120 form two physics learners and twenty physics teachers. Purposive sampling was used to select three physics teachers and three schools that were used for the pilot study. The learners who participated in the study were selected using simple random sampling. Physics Teachers Questionnaire, Interviews for Physics Teachers, Lesson Observation Guide and Physics Teacher’s Logbook were used as research instruments. Quantitative data was analyzed using descriptive (means and frequencies) and inferential statistics (Wilxon test and Kruskal Walis test) in order to develop the expected conclusions. The study found out that most schools relied on group and individual activities to implement investigative instruction learning in physics lessons. Educators among them teachers adapt approaches which create an environment that is conducive and suit the needs of the students in their classes. Based on the findings of the study, it was found out that learners engaged in individual activities, group activities, and teacher demonstration every week at least once. According to the findings, the teachers were found to occasionally implement Investigative Experiments hence there was need for increase in frequency with which the investigative experiments were provided.

Keywords : Investigative Laboratory Instruction, Quasi- Experimental Pretest- Posttest Design, Teacher Demonstrations.

References :

1. Acharya, S., Adamová, D., Adhya, S. P., Adler, A., Adolfsson, J., Aggarwal, M. M., ... & Casula, E. A. R. (2019). Investigations of Anisotropic Flow Using Multiparticle Azimuthal Correlations in p p, p− Pb, Xe-Xe, and Pb-Pb Collisions at the LHC. Physical review letters, 123(14), 142301.
2. Adetunji, A. A., & Tajudeen, A. (2020). effects of guided discovery and reciprocal peer-tutoring instructional strategies on biology students’ learning outcomes in ile-ife, nigeria.
3. Ayasrah, F. T. M., Alarabi, K., Al Mansouri, M., Fattah, H. A. A., & Al-Said, K. (2024). Enhancing secondary school students' attitudes toward physics by using computer simulations.
4. Beichumila, F., Bahati, B., & Kafanabo, E. (2022). Students’ Perceptions toward the Use of Computer Simulations and Animations in Chemistry Teaching and Learning. The International Journal of Science, Mathematics and Technology Learning, 30(1), 1.
5. Bigozzi, L., Tarchi, C., Fiorentini, C., Falsini, P., & Stefanelli, F. (2018). The influence of teaching approach on students’ conceptual learning in physics. Frontiers in psychology, 9, 2474.
6. Bodner, G., & Elmas, R. (2020). The impact of inquiry-based, group-work approaches to instruction on both students and their peer leaders. European Journal of Science and Mathematics Education, 8(1), 51-66.
7. Çelik, B. (2022). The effects of computer simulations on students’ science process skills: Literature review. Canadian Journal of Educational and Social Studies, 2(1), 16-28.
8. Chen, Li-Ting, and Leping Liu. "Content Analysis of Statistical Power in Educational Technology Research: Sample Size Matters." International Journal of Technology in Teaching and Learning 15, no. 1 (2019): 49-75.
9. Chekour, M., Laafou, M., & Janati-Idrissi, R. (2018). What are the adequate pedagogical approaches for teaching scientific disciplines? Physics as a case study. Journal of Educational and Social Research, 8(2), 141-148.
10. Coccia, M. (2020). The evolution of scientific disciplines in applied sciences: dynamics and empirical properties of experimental physics. Scientometrics, 124(1), 451-487.
11. Djudin, T. (2023). Transferring of Mathematics Knowledge into the Physics Learning to Promote Students' Problem-Solving Skills. International Journal of Instruction, 16(4).
12. Fidan, M., & Tuncel, M. (2019). Integrating augmented reality into problem based learning: The effects on learning achievement and attitude in physics education. Computers & Education, 142, 103635.
13. Girase, J. D., Shahnawaz, Jou, J. H., & Vaidyanathan, S. (2022). Deep‐blue Fluorophores Based on Phenanthroimidazole Integrated with Benzo [d] thiazole: Experimental and Theoretical Investigation. ChemistrySelect, 7(27), e202201514.
14. Hosseini, Z., Hytönen, K., & Kinnunen, J. (2021). Introducing technological pedagogical content design: A model for transforming knowledge into practice.
15. Kibirige, I., & Tsamago, H. (2019). Grade 10 learners’ science conceptual development using computer simulations. Eurasia Journal of Mathematics, Science and Technology Education, 15(7), em1717.
16. Lucas, L. L., & Lewis, E. B. (2019). High school students' use of representations in physics problem solving. School Science and Mathematics, 119(6), 327-339.
17. Njoka, N. M., Julius, J. K., & Julius, J. K. (2021). Original Paper Integration of Investigative Science Process Skills Teaching Strategy on Students’ Achievement at Secondary School Level Physics in Embu County, Kenya. World, 8(1).
18. Pragana, J. P., Bragança, I. M., Silva, C. M., & Martins, P. A. (2021). Integration of tube end forming in wire arc additive manufacturing: An experimental and numerical investigation. The International Journal of Advanced Manufacturing Technology, 117(9-10), 2715-2726.
19. Shaheen, M., & Pradhan, S. (2019). Sampling in qualitative research. In Qualitative techniques for workplace data analysis (pp. 25-51). IGI Global.
20. 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).
21. Syafril, S., Latifah, S., Engkizar, E., Damri, D., Asril, Z., & Yaumas, N. E. (2021, February). Hybrid learning on problem-solving abiities in physics learning: A literature review. In Journal of Physics: Conference Series (Vol. 1796, No. 1, p. 012021). IOP Publishing.
22. Taiwo, W. F. (2022). Guided Discovery Instructional Strategy and Students’ Attainment in Financial Accounting Concepts. Pedagogika, 147(3), 147-163.
23. Ugwoke, E. O., Olulowo, T. G., & Adedayo, I. O. (2020). Using Guided Discovery to Improve Students’ Retention and Academic Attitudes to Financial Accounting Concepts. Education Research International, 2020, 1-9.
24. Wilson, A. (2020). The nature of contingency: Quantum physics as modal realism. Oxford University Press, USA.
25. Xerri, D. (2018). The use of interviews and focus groups in teacher research. The Clearing House: A Journal of Educational Strategies, Issues and Ideas, 91(3), 140-146.