Effect of Computer-Based Laboratory Simulations (CBLS) in Acquisition of Scientific Inquiry Skills in electro_ chemistry in Secondary Schools in Bomet County

Authors

  • Patrick Kafu A. Department of Chemistry and Biochemistry, School of Science, University of Eldoret, P.o. Box 1125, Eldoret, Kenya
  • Salome Chepkorir Department of Curriculum and Instruction, School of Education, University of Eldoret, P. o. Box 1125, Eldoret, Kenya
  • Kituyi Lusweti Department of Chemistry and Biochemistry, School of Science, University of Eldoret, P.o. Box 1125, Eldoret, Kenya

Keywords:

Computer-Based Laboratory Simulations,, Inquiry Learning

Abstract

Computer technology has advanced to the point where it can significantly enable
inquiry learning to be used at various levels, and offer new tools for representing
the science nature in the classroom. It has been revealed that when using
computer simulations in a situation where individuals are actively engaged can
lead to content knowledge and conceptual change. The aim of this research was to
examine the use of Computer-Based Laboratory Simulations (CBLs) in acquisition
of inquiry skills in electro- chemistry in secondary chemistry instruction, Bomet
County. This study adopted a Quasi-Experimental Research Design. SolomonFour Non-equivalent Groups Design was applied. Four secondary schools in Bomet County were purposively sampled on the basis of availability of computers.
Three hundred and sixty-nine subjects took part in the investigation. The four
schools were allocated to control and treatment groups by simple random
sampling method. All groups of students were taught similar chemistry content
(electro-chemistry). However, experimental groups used CBLs approach while the
control groups used regular teaching methods (RTM) including teacher
demonstrations and lecture. The control group II and experimental group I were
pre-tested prior to the implementation of the CBLs treatment. After four weeks, all
the groups (four) were post-tested using the Students’ Chemistry Achievement Test
(SCAT) which was authenticated by education experts and pilot tested before
using to validate its reliability. Data was analysed using ANCOVA, one-way
ANOVA and t-test at a significant level of coefficient alpha (α) equal to 0.05. The
findings indicated that computer-based laboratory simulations assisted students in
acquisition of scientific inquiry skills (P<0.05). The study concluded that
computer-based laboratory simulation had significant influence acquisition of
inquiry skills in electro- chemistry. The study recommended teacher training
programmes in universities be modified so as to include computer studies to
empower teachers to be able to design CBLs programmes and use emergent
technologies.

 

Author Biography

Kituyi Lusweti , Department of Chemistry and Biochemistry, School of Science, University of Eldoret, P.o. Box 1125, Eldoret, Kenya





References

Ajaja, O. P. (2005). Comparison of the effectiveness of three instructional methods (Advance

Organizer, Discover and Invention) on exhibition of acceptable laboratory behaviours.

Journal of Vocational Science and Educational Development, 6(1 & 2), 36-44.

Bello, T. O. (2011). Effect of group instructional strategy on students’ performance in selected Physics

concepts. The African Symposium: An on-line Journal of African Educational Research

Network, 11(1), 71-79

Bloom, B. S. (1956). Taxonomy of educational objectives: The classification of education goals by a

committee of college and university examiners. David McKay.

Chen, A. L. P., Chang, M., Chen, J., Hsu, J. L., Hsu, C. H. and Hua, S. Y. S. (2000). Query by music

segments: An efficient approach for song retrieval. In Proceedings of IEEE International

Conference on Multimedia and Expo. New York.

Driscoll, M. P. (2000). Psychology of learning for instruction. Needham. MA: Allyn & Bacon.

Dwyer, D. (1991). Changes in Teachers’ Beliefs and Practices in Technology-Rich Classrooms.

Educational Leadership, 48(8), 45-52.

Edwards, S. (2005). Research participation and the right to withdraw. Bioethics, 19(2):112-130.

Gibson, Chase (2002). Longitudinal impact of inquiry-based science program on middle school

students’ attitudes towards science. Journal of Science Education, 86, 693-705.

Glaser, R. (1991). The maturing of the relationship between the science of learning and cognition and

educational practice. Learning and Instruction, 1(2), 129-144.

Government of Kenya (2005). Kenya education sector support programme 2005-2010: Delivering

quality education and training to all Kenyans. Nairobi: Government printers. Retrieved from

http://planipolis.iiep.unesco.org/

Hout-Wolters, B., Simons R. J., Volet, S. (2000) Active Learning: Self-directed Learning and

Independent Work. In: Simons RJ., van der Linden J., Duffy T. (eds) New Learning. Springer,

Dordrecht. https://doi.org/10.1007/0-306-47614-2_2

Kenya Institute of Education, KIE (2002). Secondary Education Syllabus Volume Two. Kenya Institute

of Education, Nairobi.

Kenya National Examination Council, KNEC (2005). The Kenya National Examination Council: The

year 2004 KCSE Examination report. Nairobi: KNEC.

Kenya National Examination Council, KNEC (2017). The Kenya National Examination Council: The

year 2010 KCSE Examination report. Nairobi: Kenya National Examination Council.

Kenya National Examinations Council, KNEC, (2018). Kenya Certificate examination report. Nairobi:

Kenya National Examinations Council.

Kenya National Examinations Council, KNEC, (2019). Kenya Certificate examination report. Nairobi:

Kenya National Examinations Council.

Keraro, F. N., Wachanga, S. W., and Orora, W. (2007). Effects of cooperative concept Mapping

teaching approach on secondary school students’ motivation in biology, Gucha District,

Kenya. International Journal of Science and Mathematics Education, 5(8), 111-124.

Kiboss, J. K. (2002). Impact of a computer-based physics instruction program on pupils' understanding

of measurement concepts and methods associated with school science. Journal of Science

Education and Technology, 11(2), 193-198.

Kirschner, P.A., Martens, R.L., Strijbos , J.W. (2004), CSCL in Higher Education? In: Strijbos JW.,

Kirschner P.A., Martens R.L. (eds) What We Know About CSCL. Computer-Supported

Collaborative Learning Series, Vol 3. Springer, Dordrecht. https://doi.org/10.1007/1-4020-7921-4_1

Makau, J. (1999). Computers in education. Daily Nation March 29

th

p.24

Maxwell, J. A. (2012). Qualitative research design: An interactive approach: An interactive approach.

Sage.

Mugenda, M. O., and Mugenda, A. G. (2003). Research Methods in Education: Quantitative and

Qualitative Approach. Longhorn, Nairobi.

Nui, N., and Wahome, A. (2006). SMASSE Project. SMASSE. Retrieved from

http://www.criced.tsukuba.ac.jp/math/sympo_2006/nui.pdf.

Oduor, A. (2012, March 1). KCSE: Maranda edges out Alliance to emerge top. The Standard. Nairobi:

Standard Media Group. Retrieved from http://www.standardmedia.co.ke/

Ohodo, G.C. (2005). Principles and Practice of Chemistry Education in Nigeria. Enugu: 9 Academia

Arena

Omwenga, I. E. (2005). Pedagogical issues and e-learning cases: Integrating ICTs into teaching and

learning process. Paper presented at the School of Computing and Informatics University of

Nairobi. Nairobi.

Orodho, A. J. (2003). Essentials of educational and social science research methods. Nairobi: Mazola

Publishers.

Osborne, R. and Wittrock, M. (1983). Learning science: A generative process. Science Education

67(4), 489-508.

Oyoo, S. O. (2010). Science teacher effectiveness as a condition for successful science education in

Africa: A Focus on Kenya. The International Journal of Learning, 17(9). Retrieve from

http://web.ebscohost.com/ehost/pdfviewer/pdfviewer?

Republic of Kenya (2007). Kenya Vision 2030: A globally competitive and prosperous Kenya.

Nairobi: Government printers.

Roblyer, M. D., and Edwards, J. (2000). Integrating educational technology into teaching (2nd Ed.).

Upper Saddle River, New Jersey: Prentice-Hall, Inc.

Sarabando, C., Cravino, J. P., & Soares, A. A. (2014). Contribution of a computer simulation to

students’ learning of the physics concepts of weight and mass. Procedia Technology, 13, 112-121.

SMASSE (2004). Trends in teaching approaches and methods in science and mathematics education.

SMASSE Project National Inset Unit. Nairobi: Self.

Sola, A.O., Ojo, O.E, (2007). Effects of project, inquiry and lecture-demonstration teaching methods

on senior secondary students' achievement in separation of mixtures practical test. J. Educ.

Res. Rev. 2(6):124-132.

Sreelekha, J. (2018). Effects of computer simulation and video based instructional strategies on

students’ acquisition of skills in practical physics. International Journal of Educational

Research and Technology, 9(1), 1-8.

Usman, K. O. and Memeh, I. M. (2007). Using guided scoring teaching strategy to improve students’

achievement in Chemistry at secondary school level in Nigeria. Journal of the Science

Teachers association of Nigeria, 42(1&2), 60-65.

Waititu, M. M., and Orado, G. N. (2009). Managing teachers and the instruction of Mathematics and

Science: Follow-up Technical Workshop on Science and Mathematics, 2009 January 29-February 6, Tunis). Nairobi: Centre for Mathematics, Science and Technology Education in

Africa.

Wallen, N. E., and Fraenkel, J. R. (2001). Educational research: A guide to the process. Psychology Press.

Zadra, E. (2000). Learning as a gateway to the 21

st

century. International Institute for Educational

Planning Newsletter, 18(2), 14.

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Published

2022-11-08

How to Cite

Kafu A. , P., Chepkorir , S., & Lusweti , K. (2022). Effect of Computer-Based Laboratory Simulations (CBLS) in Acquisition of Scientific Inquiry Skills in electro_ chemistry in Secondary Schools in Bomet County. African Journal of Education,Science and Technology (AJEST), 7(2), pg 288 – 301. Retrieved from http://ajest.org/index.php/ajest/article/view/888

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