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International Journal of Science, Technology, Engineering & Mathematics

ISSN 2799-1601 (Print) 2799-161X (Online)

H-index: 7
ICV: 87.82

Computer-based instruction in teaching secondary biology

Romel C. Mutya & Cristina B. Ramas
Volume 2 Issue 3, September 2022

This study investigates the effectiveness of Computer-Based Instruction (CBI) in teaching Biology to 7th graders of a secondary night school in Cebu City, Philippines. A pretest and posttest quasi-experimental design with a control group was utilized to two groups of students, of which one was exposed to CBI and the other to the conventional lecture method (CLM). An Instructional Materials Motivation Survey (IMMS) was used to assess its motivational characteristics. Data gathered were analyzed using descriptive statistics, frequency count and percentage, mean and standard deviation, t-test. Findings revealed that both groups had Fairly Satisfactory performance in the pretest, which implies that the students had low knowledge on the topic. The study also found that both groups had significantly increased their performances from the pretests to the posttests, implying the essence of CLM and CBI use. Ultimately, the study revealed that the use of CBI is more effective than CLM, as seen in the enhanced students’ performance, signifying the effectiveness of the instruction using a computer in teaching Biology concepts. The students commended the CBI for being a user-friendly, autonomous, self-paced, and self-regulating instructional design that helped them enhance their performance in the least learned competencies. A contextualized CBI in Biology was crafted to serve as a guide for teachers and enable the students to pave the way for the mastery of the different competencies in Biology.

academic performance, biology education, computer-based instruction, conventional lecture method, instructional materials motivation survey

Romel C. Mutya. Teacher III, Mambaling National High School, DepEd – Cebu City, Philippines

Cristina B. Ramas. Associate Professor III, Cebu Technological University – Main Campus, Cebu City, Philippines

Abimbade, O., Akinyemi, A., Bello, L., & Mohammed, H. (2017). Comparative Effects of an Individualized Computer-Based Instruction and a Modified Conventional Strategy on Students’ Academic Achievement in Organic Chemistry. Journal of Positive Psychology and Counseling1(2), 1-19.

Ai, H. (2017). Providing graduated corrective feedback in an intelligent computer-assisted language learning environment. ReCALL29(3), 313-334.

Ajaja, O. P. (2013). Which way do we go in biology teaching? Lecturing, Concept mapping, Cooperative learning or Learning cycle? The Electronic Journal for Research in Science & Mathematics Education17(1)

Achuonye, A. (2011). Using computer in science class: The interactive effect of gender. Journal of African studies and development3(7), 131-134.

Bhushan, M., Sinha, A., Sinha, M., & Kumari, S. (2021). Use of Technology in Creating Conducive Learning Environment in Higher Education.

Birgin, O., Bozkurt, E., Gürel, R., & Duru, A. (2015). The effect of computer-assisted instruction on 7th grade students’ achievement and attitudes toward mathematics: The case of the topic “Vertical Circular Cylinder”. Croatian Journal of Education: Hrvatski časopis za odgoj i obrazovanje17(3), 783-813.

Bulman, G., & Fairlie, R. W. (2016). Technology and education: Computers, software, and the internet. In Handbook of the Economics of Education (Vol. 5, pp. 239-280). Elsevier.

Cabansag, M. G. S. (2014). Impact statements on the K-12 science program in the enhanced basic education curriculum in provincial schools. Researchers World5(2), 29. Department of Education (2016). K to 12 Basic Education Curriculum.

Castro, J. A. F., & Morales, M. P. E. (2017). “Yin” in a Guided Inquiry Biology Classroom–Exploring Student Challenges and Difficulties. Journal of Turkish Science Education14(4), 48-65.

Cavkaytar, A., Acungil, A. T., & Tomris, G. (2017). Effectiveness of teaching café waitering to adults with intellectual disability through audio-visual technologies. Education and Training in Autism and Developmental Disabilities52(1), 77-90.

De Witte, K., Haelermans, C., & Rogge, N. (2015). The effectiveness of a computer‐assisted math learning program. Journal of Computer Assisted Learning31(4), 314-329.

Dubovi, I. (2018). Designing for online computer-based clinical simulations: Evaluation of instructional approaches. Nurse Education Today69, 67-73.

Fotaris, P., Mastoras, T., Leinfellner, R., & Rosunally, Y. (2016). Climbing up the leaderboard: An empirical study of applying gamification techniques to a computer programming class. Electronic Journal of e-learning14(2), 94-110.

Fuady, R., & Mutalib, A. A. (2018). Audio-visual media in learning. Journal of K6 Education and Management1(2), 1-6.

Gupta, Swati (2014).  Traditional Vs. Modern Teaching Methodology. Pioneer Institute of Professional studies, Indore

Guzman, N. (2000). Applications of adult learning theories to constructivist learning environments. Retrieved August12, 2003.

Hew, T. S., & Kadir, S. L. S. A. (2016). Predicting the acceptance of cloud-based virtual learning environment: The roles of Self Determination and Channel Expansion Theory. Telematics and Informatics33(4), 990-1013.

Hoogland, K., & Tout, D. (2018). Computer-based assessment of mathematics into the twenty-first century: pressures and tensions. ZDM50(4), 675-686.

International Association for the Evaluation of Educational Achievement (IEA) 2019. Trends in International Mathematics and Science Study (TIMSS)

Kahu, E. R., & Nelson, K. (2018). Student engagement in the educational interface: understanding the mechanisms of student success. Higher education research & development37(1), 58-71.

Keller, J.M. (2010). Motivational Design for Learning and Performance: The ARCS Model Approach. New York, NY: Springer.

Kim, N. J., Belland, B. R., & Walker, A. E. (2018). Effectiveness of computer-based scaffolding in the context of problem-based learning for STEM education: Bayesian meta-analysis. Educational Psychology Review30(2), 397-429.

Limbong, T., Simarmata, J., Tambunan, A. R. S., Siagian, P., Panjaitan, J., Siagian, L., … & Lumbanbatu, K. (2018, September). The implementation of computer based instruction model on Gost Algorithm Cryptography Learning. In IOP Conference Series: Materials Science and Engineering (Vol. 420, No. 1, p. 012094). IOP Publishing.

Lowe, J. S., & Holton III, E. F. (2005). A theory of effective computer-based instruction for adults. Human Resource Development Review4(2), 159-188.

Macha, W., Mackie, C., & Magaziner, J. (2018). Education in the Philippines. Retrieved at https://wenr.wes.org/2018/03/education-in-the-philippines

Magnanimous Science (2014). Poor Science Education in the Philippines: Causes, Solutions, and Suggestions. Retrieved from: https://magnanamousscience.wordpress.com

Mead, R., Curnow, R. N., & Hasted, A. M. (2017). Statistical methods in agriculture and experimental biology. Chapman and Hall/CRC.

Muraina, I. O., Adeleke, I. A., & Rahman, M. A. (2011). Computer assisted instruction for teaching/learning process and its effects on students performance in tertiary institutions. International Journal of Computer Trends and Technology2(1), 15-19.

Nguyen, Q., Rienties, B., Toetenel, L., Ferguson, R., & Whitelock, D. (2017). Examining the designs of computer-based assessment and its impact on student engagement, satisfaction, and pass rates. Computers in Human Behavior76, 703-714.

Oyelekan, O. S., Igbokwe, E. F., & Olorundare, A. S. (2018). Science teachers’ utilisation of innovative strategies for teaching senior school science in ilorin, nigeria. MOJES: Malaysian Online Journal of Educational Sciences5(2), 49-65.

Pappas, Christopher (2014). Instructional Design Models and Theories: Computer-Based Instruction Theory. Retrieved from: https://elearningindustry.com/computer-based-instruction-theory

Project Monitoring and Evaluation to meet Education Targets (MEET): An Undertaking for Constant Change Towards Progress (2017). Department of Education, Cebu City Division.

Rachmadtullah, R., Zulela, M. S., & Sumantri, M. S. (2019, March). Computer-based interactive multimedia: a study on the effectiveness of integrative thematic learning in elementary schools. In Journal of Physics: Conference Series (Vol. 1175, No. 1, p. 012028). IOP Publishing.

Renninger, K. A., & Hidi, S. E. (2015). The power of interest for motivation and engagement. Routledge.

Rowland, A. A., Knekta, E., Eddy, S., & Corwin, L. A. (2019). Defining and measuring students’ interest in biology: An analysis of the biology education literature. CBE—Life Sciences Education18(3), ar34.

Schwab, Klaus (2017-2018). Global Competitiveness Report.

Serin, O. (2011). The Effects of the Computer-Based Instruction on the Achievement and Problem-Solving Skills of the Science and Technology Students. Turkish Online Journal of Educational Technology-TOJET10(1), 183-201.

Shute, V. J., & Rahimi, S. (2017). Review of computer‐based assessment for learning in elementary and secondary education. Journal of Computer Assisted Learning33(1), 1-19.

Srisawasdi, N., & Panjaburee, P. (2019). Implementation of game-transformed inquiry-based learning to promote the understanding of and motivation to learn chemistry. Journal of Science Education and Technology28(2), 152-164.

Tawar (2016). Peningkatan Prestasi Belajar IPA Melalui Pendekatan Lingkungan Alam Sekitar Pada Siswatunagrahita Kelas 7. Jurnal Rehabilitasi dan Remediasi Vol. 25 No. 01 Hlm. 19-24

Torio, M. Z. C. (2015). Development of instructional material using algebra as a tool in problem solving. International journal of education and research2(1), 569-586.

Tuwuh Waluya (2015). Peningkatan Aktivitas dan Hasil Belajar IPA Materi Pewarisan Sifat Dengan Media Kartu Dogen. JPK UNNES Vol. 1 No. 1 Hlm. 18-28

Wang, C. C., & Hsu, M. C. (2014). An exploratory study using inexpensive electroencephalography (EEG) to understand flow experience in computer-based instruction. Information & Management51(7), 912-923.

Wazeema, T. M. F., & Kareema, M. I. F. (2017). Implication of multimedia audio-visual aids in the English language classroom. South Eastern University of Sri Lanka, University Park, Oluvil, Sri Lanka. 433-442.

Cite this article:

Mutya, R.C. & Ramas, C.B. (2022). Computer-based instruction in teaching secondary biology. International Journal of Science, Technology, Engineering and Mathematics, 2(3), 1-16. https://doi.org/10.53378/352900

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