THE EFFECTIVENESS OF USING GEOGEBRA AND GRAPES ON STUDENTS’ ACHIEVEMENT IN THE TEACHING AND LEARNING OF MATHEMATICS IN SECONDARY SCHOOLS IN BOMET COUNTY, KENYA

Langat Richard Kipng’etich, Mukwa Chris Wekesa, Too Jackson Kiprop

Abstract


Mathematics teaching and learning are crucial to the future of Kenya’s knowledge economy and deserve a special focus in our education system. The objective of the study was to determine the effectiveness of using Grapes and GeoGebra on students’ learning of graphs as compared to the traditional approach. This study was guided by Technology Acceptance Model (Davis, 1989). Technology Acceptance Model (TAM) explains computer-usage behavior that relates to reasons why some people use computers and their attitudes towards them. This study adopted Solomon four group experimental research design. The respondents were selected using both stratified and simple random sampling. Data was collected through the use of students’ questionnaires, pre-test and post-test. Analysis of data was done using both descriptive and inferential statistics. For descriptive statistics, frequency tables, means and percentages were used. Anova, t-test and Multiple Regression Analysis were employed for the inferential statistics. The study found out that the students who were taught using Grapes and GeoGebra performed much better than those who were taught using the conventional method. It is recommended that ICT integration in the teaching of Mathematics should be included in the curriculum of pre-service teachers at the university level.

 

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GeoGebra, Grapes, achievement, Mathematics

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References


AIR. (1998). Teacher Technology Survey. US: American Institutes for Research.

Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice-Hall.

Alqahtani, M. M. & Powell, A. G. (2016). Instrumental appropriation of a collaborative, Dynamic- Geometry Environment and Geometrical Understanding. International Journal of Education in Mathematics, Science and Technology, 4(2), 72-83.

Amit, M. & Fried, M. N. (2002). Research, reform and times of change. In Handbook of International Research in Mathematics Education. NJ: Erlbaum.

Anderson, R. E., & Plomp, T., (2000). ICT knowledge management competencies. http://www.emb.gov.hk

Bagozzi, R. P., Davis, F. D., & Warshaw, P. R. (1992). Development and test of a theory of technological learning and usage. Human Relations, 45(7), 660-686.

Bakar, K. A., Ayub, A. F. M., Luan, W. S. & Tarmizi, R. A. (2002). Exploring secondary school students’ motivation using technologies in teaching and learning mathematics. Procedia-social and Behavioral Sciences, 14, 4650-4654.

Bas, G., & Senturk, C. (2018). An evaluation of technological pedagogical content knowledge (TPACK) of in-service teachers: A study in Turkish public schools. International Journal of Educational Technology, 5(2), 46-58.

Bathista, M. T. (1994). Teacher Beliefs and the reform movement in Mathematics Education. Phi Delta Kappan, 75,462-466.

Bennet, D. (1999). Exploring Geometry with Geometer’s sketch pad. Emeryville, CA: Key Curriculum Press.

Bishara, S. (2015). Active and Traditional Teaching of Mathematics in Special Education. Tel Aviv: Ramot. Retrieved from http://www.scirp.org/journal/ce on 2/10/2018.

Bryman, A. (1984). The Debate about Qualitative and Quantitative Research: A Question of Methods or Epistemology. The British Journal of Sociology. 35(1), 75-92.

Carin, A. A. & Bass, J. E. (2001). Teaching science as inquiry (9th ed.) Upper Saddle River, NJ: Prentice-Hall Inc.

Carlson, S., (2002). The missing link in educational technology: trained teachers. http://www.techknowlogia.org

CEMASTEA (2017). Training module for secondary school teachers on Inquiry Based Learning in mathematics and sciences. CEMASTEA: Nairobi, Kenya.

CEMASTEA. (2017). Training Needs Assessment (TNA) report 2017, Unpublished Report.

CEMASTEA. (2015). Training Needs Assessment (TNA) report 2015, Unpublished Report.

CEMASTEA. (2018). Training module for secondary school teachers on Inquiry Based Learning in mathematics and sciences. CEMASTEA: Nairobi, Kenya.

CEMASTEA. (2017). Training Needs Assessment (TNA) report 2017, Unpublished Report.

Cohen, L., Manion, L. & Morrison. (2000). Research Methods in Education (5thed.) London: Routledge Falmer.

Cohen, L., Manion, L. & Morrison, K. (2001). Research Methods in Education (2nd ed). London: Routledge Falmer.

Cresswel, J. W. (2014). Research Design: Qualitative, Quantitative and Mixed Methods Approaches (4rd ed). New Delhi: Sage Publications India.

Cuban, L., Kirkpatrick, H., & Peck, C. (2001). High access and low use of technologies in high school classrooms: Explaining an apparent paradox. American Educational Research Journal, 38(4), 813.

Davis, F. D. (1993). User acceptance of information technology: system characteristics, user perceptions and behavioral impacts, International Journal of Man-Machine Studies, 38: 475–487.

Dogan, M. (2010). The role of dynamic Geometry software in the process of learning: GeoGebra example about triangles. Retrieved from http://www.time2010.uma.es/procedings/papers/A026-paper.pdf.

Drier, H. S. (2001). Beliefs, experiences, and reflections that affect the development of technomathematical knowledge. Paper presented at the society for Information Technology and Teacher Education, Orlando, FL.

Duffy T., Jonassen D., Lowyck J. (1993). Designing constructivist learning environments, Springer-Verlag.

Durrington, V. A., Repman, J. and Valente, T. W. (2000). Using social network analysis to examine the time of adoption of computer-related services among university faculty, Journal of Research on Computing in Education, Vol. 33, No. 1.

Erhan, S. H. & Andrean, J. (2013). Exploring Calculus with dynamic Mathematics Software. Mathematics and Computer Education, 47(1), 6-18.

Ferguson, K. (2010). Inquiry Based Mathematics Instruction versus Traditional Mathematics Instruction. The effect on students’ understanding and comprehension in an eighth grade pre-Algebra classroom. Master of Education Framework for Doctoral Students. International Journal of Doctoral Studies, 7, 143-152.

Grant, C. & Osanloo, A. (2014). Understanding, Selecting, and Integrating a Theoretical Framework in Dissertation Research: Creating the Blueprint for ‘House’. Administrative Issues Journal: Connecting Education, Practice and Research, 12-22.

Gray, A. (2007). The Road to Knowledge is Always Under Construction: A Life History Journey to Constructivist Teaching. Saskatchewan: University of Saskatchewan. A Master’s Thesis, Unpublished.

Guba, E. G. & Lincoln, Y. S. (1989). Fourth generation evaluation. Newbury Park, CA: Sage Publishers.

Heide, A., & Henderson, D. (1994). Active learning in the digital age classroom. Portsmouth, NH: Heinemann.

Hismanoglu, M. (2012). Prospective EFL teachers’ perceptions of ICT integration: A study of Distance Higher Education in Turkey. Educational Technology & Society, 15(1), 185-196.

Howe, M. (1999). Genius Explained. Cambridge, UK: Cambridge University Press.

Hudson, R. & Porter, A. (2010). ICT use to improve Mathematics Learning in secondary schools. ACEC 2010: Digital Diversity Conference, 6-9 April 2010, Melbourne, Australia.

Hughes, J. (2005). The role of teacher knowledge and learning experiences in forming technology-integrated pedagogy. Journal of Technology and Teacher Education, 13(2),277-302.

Hurtkemri, Z. & Zamri, S. N. A. (2016). The effectiveness of the GeoGebra software: The Intermediary Role of procedural knowledge and their Achievement in Mathematics. EURASIA Journal of Mathematics, Science and Technology Education, 13(6), 2155-2180.

IDRC (2001). Workshop for the evaluation of the Acacia supported SchoolNet projects in Sub-Saharan Africa (Lesotho, Namibia, Senegal, South Africa and Uganda), Johannesburg, 23-26 January.

Idris, N. (2006). Exploring the effects of T1-84 plus on achievement and anxiety in Mathematics. Eurasia Journal of Mathematics, Science and Technology Education, 2(3), 66-78.

Ince-Muslu, B. & Erduran, A. (2021). A suggestion of a Framework: Conceptualization of the Factors That Affect Technology Integration in Mathematics Education. International Electronic Journal of Mathematics Education, 16(1), em0617. https://doi.org/10.29333/iejme/9292

Jan, S. (2018). Investigating the relationship between students’ digital literacy and their attitude towards using ICT. International Journal of Educational Technology, 5(2), 26-34.

Janssens-Bevernage, A. (2002). Internal assessment of how KTTC members perceive the changes in organisational culture brought about by the integration of an Internet facility into their working environment. (unpublished action research)

Kaput, J. J. (1992). Technology and mathematics education. In D. A. Grouws (Ed.), Handbook of research on mathematics teaching and learning (pp.515-556). New York, NY: Macmillan.

Kinyanjui, L. (2002). Preparing a workforce for the evolving information economy: a survey on ICT access and use in Kenya secondary schools. Nairobi: SchoolNet Kenya.

Kirkpatrick D., & Jakupec, V. (2021). Becoming flexible: what does it mean? In The convergence of distance and conventional education: Patterns of flexibility for the individual learner. USA: Routledge.

Klein, A. (2008). It is Heaven or Hell: Gender and reflection in Society and Education. Tel Aviv: Kvanim.

Kothari, C. R. (2004). Research Methodology: Methods and Techniques (2nded). New Delhi: New Age International Publishers.

Kumar, R. (2005). Research Methodology: a step-by-step guide for beginners (2nd ed). London: Sage Publications.

Lee, H. B. & Hollebrands, K. (2008). Preparing to teach Mathematics with technology: An integrated approach to developing technological content knowledge. Contemporary issues in Technology and Teacher Education, 8(4), 326-341.

Leng, N. L. (2006). Factors that influence the integration of ICT into the classroom-Pre-service Mathematics Teachers’ perception. The Mathematics Educator, 9(2), 60-79.

Liehr P. & Smith M. J. (1999). Middle Range Theory: Spinning Research and Practice to create Knowledge for the New Millennium. Advances in Nursing Science, 21(4): 81-91.

Lincoln, Y. S. & Guba, E. G. (2005). Paradigms and perspectives in contention. In N. Denzini and Y. Lincoln (eds), Handbook of Qualitative Research (3rd ed.). Thousand Oaks, CA: Sage.

Linda, P & Trisha, L. (2015). Teaching Mathematics Creatively (2nd ed). London: Routledge

Loveless, A., & Ellis, V. (Eds.), (2001). ICT, pedagogy and the curriculum. London, UK: Routledge Falmer.

Majerek, D. (2014). Application of GeoGebra for Teaching Mathematics. Advances in Science and Technology Research Journal, 8(24), 51-54.

Manoucherhri, A. (1999). Computers and school mathematics reform: Implications for mathematics teacher education. Journal of Computers in Mathematics and Science Teaching 18(1), 31-48.

Maree, K. (ed) (2016). First Steps in Research (2nd ed). Pretoria: Van Schaik Publishers.

Markovits, Z. & Patkin, D. (2021). Pre-school In-service Teachers and Geometry: Attitudes, Beliefs and Knowledge. International Electronic Journal of Mathematics Education, 16(1), em0619. https://doi.org/10.29333/iejme/9303

Marshal, J. (2006). It’s teaching, stupidǃ Phi Delta Kappan, 87,356-363.

McMillan, J. H. & Schumacher, S. (2001). Research in Education: a conceptual introduction (5th ed). New York: Addison-Wesley Longman.

Miles, M. B., & Huberman, M. A. (1994). Qualitative Data Analysis: An Expanded Sourcebook (2nd edition). Beverley Hills, Sage.

Ministry of Education Science and Technology (2005). website www.education.go.ke, accessed in Nov. 2021

Ministry of ICT (2019). National Information, Communications and Technology (ICT) Policy. Nairobi: Ministry of ICT, Kenya.

Mishra, P., & Koehler, M. J. (2006). Technological Pedagogical Content Knowledge: A Framework for Teacher Knowledge. Teachers College Record, 108(6), 1017-1054.

Mollakuqe, V., Rexhepi, S., & Iseni, E. (2021). Incorporating GeoGebra into Teaching Circle properties at High School level and its Comparison with the Classical Method of Teaching. International Electronic Journal of Mathematics Education, 16(1), em0616. https://doi/10.29333/iejme/9283

Muriithi P. (2005). A framework for integrating ICT in the teaching and learning process in secondary schools in Kenya. MSc. Thesis submitted at the University of Nairobi, School of computing and Informatics.

Mwaka, M., Musamas, J. & Nabwire, V. K. (eds) (2014). Essentials of Instruction: A Handbook for School Teachers. Eldoret: Moi University Press.

National Council of Teachers of Mathematics (2000). Principles and standards for school mathematics. Reston, VA: National Council of Teachers of Mathematics.

National ICT Policy (2006). Ministry of Education National ICT Strategy for Education and Training. Nairobi: Ministry of Education, Science and Technology.

Neuman, W., L. (2003). Social Research Methods: Qualitative and Quantitative Approaches (5th ed.) Boston: Allyn and Bacon.

Newhouse (2002), The Impact of ICT On Learning and Teaching, A Literature Review, Western Australia Department of Education. Norwood, MA: Kluwer Academic Publishers

Odumbe, J. (2003). Survey of open and distance education learning provisions in Kenya. Nairobi, (unpublished).

Ogwel, A. (2009). Using GeoGebra in secondary school mathematics Teaching: ICT in the classroom conference: Durban Girls College: 24-26 September, 2009.

Ololube, N. P. (2006). Appraising the relationship between ICT usage and integration and the standard of Teacher Education programs in a developing economy. International Journal of Education and Development using Information and Communication Technology, 2(3), 70-85.

Omwenga, E., Waema, T., & Wagacha, P. (2004). A model for introducing and implementing e-learning for delivery of educational content within the African context. African Journal of Sciences and Technology 5(1) 35-48.

Plomp, T., ten Brummelhuis, A., & Pelgrum, W. J. (1997). New approaches for teaching, learning and using information and communication technologies in education. Prospects – Quarterly Review of Education, 27 (3).

Preiner, J. (2008). Introducing Dynamic Mathematics software to Mathematics Teachers: the case of GeoGebra. Dissertation in Mathematics Education, University of Salzburg.

Ravilochanan, P (2009). Research Methodology with Business Correspondence and Report Writing. Chennai: Margham Publications.

Rubin, H. J. & Rubin I. S. (1995). Qualitative Interviewing: An Art of Hearing Data. Thousand Oaks, California: Sage.

Russell, M., Bebell, D., O’Dwyer, L., & O’Connor, K. (2003). Examining teacher technology use: Implications for preservice and in service teacher preparation. Journal of Teacher Education, 54(4).

Ruthven, K., Deaney, R. & Hennesy, S. (2009). Using graphing software to teach about algebraic forms: A study of Technology-supported practice in Secondary School Mathematics. Educational studies in mathematics, 71(3), 279-297.

Saha, R. A., Ayub, A. F. M. & Tarmizi, R. A. (2010). The effects of GeoGebra on Mathematics Achievement: Enlightening Co-ordinate Geometry learning. International conference on mathematics Education Research, 8,686-693.

Sarantakos, S. (2005). Social Research. (3rded.). Melbourne: Macmillan Education.

Scardamalia, M. (2002). Collective cognitive responsibility for the advancement of knowledge. In B. Smith (Ed.), Liberal education in a knowledge society (pp 67-98). Chicago, IL: Open Court.

Schifter, D. & Fosnot, C. T. (1993). Reconstructing Mathematics Education: Stories of teachers meeting the challenge of reforms. New York: Teachers College Press.

Shadaan, P & Eu, L. K. (2017). Effectiveness of Using GeoGebra on Students’ Understanding in learning Circles. Malaysian Online Journal of Educational Technology, 1(4). Retrieved on 13/11/2017 from www.mojet.net.

Shulman, L (1986). Those who understand: knowledge growth in teaching. Educational Researcher, 15, 4-14.

Taylor, P. (1996). Flexibility, technology and academics' practices: Tantalising tales and muddy maps. (EIP 96/11). Canberra: Department of Employment, Education and Training and Youth Affairs, Evaluations and Investigations Programme, Higher Education Division.

Teachers Service Commission (2013). Curriculum guide for ICT integration in Education: A harmonized curriculum for Integration of ICT in Teaching and Learning for the purpose of the rollout of the National Laptop project. Nairobi: TSC.

The Kenya National Examinations Council (2016). 2015 KCSE Examinations Report. Nairobi: The Kenya National Examinations Council.

Thomas, M. O. J., Monaghan, J., & Pierce, R. (2004). Computer algebra systems and algebra: Curriculum, assessment, teaching, and learning. In K. Stacey, H. Chick, & M. Kendal (Eds.), The teaching and learning of algebra: The 12th ICMI study (pp. 155–186).

Thomas, M. O. J. & Hong, Y. Y. (2005). Teacher factors in integration of graphic calculators into mathematics learning. In H. L. Chick & J. L. Vincent (Eds.), Proceedings of the 29th annual conference of the International Group for the Psychology of Mathematics Education, Vol. 4, pp. 257–264. Melbourne: University of Melbourne

Twomey, F., C. (1989). Enquiring teachers, enquiring learners: A constructivist approach for teaching. New York: Teachers College Press

Umameh, A. U. (2012). The potential of the joint use of GeoGebra and Interactive Whiteboard for teaching and learning straight line graphs. Bristol: University of Bristol.

UNESCO World Education Report (1998). Teachers and Teaching in a Changing World.

UNESCO, (2002). Information and communication technologies in teacher education: A planning guide. http://www.unesco.org

UNESCO, (2004). The need for a systematic approach. http://unescobkk.org/education/ict/v2

Van De Walle, J. A. (2007). Elementary and Middle School Mathematics: Teaching developmentally. 6th ed. Boston, MA: Pearson Education, Inc.

Wassie, Y. A. & Zergaw, G. A. (2019). Some of the Potential Affordance, Challenges and Limitations of Using GeoGebra in Mathematics Education. EURASIA Journal of Mathematics, Science and Technology Education, 15(8),. https://doi.org/10.29333/ejmste/108436

White, J. (2012). The impact of Technology on student engagement and achievement in Mathematics classroom. Paper submitted in partial fulfillment of the requirements for the degree of Masters of Education, Memorial University, NL.

Zengin, Y., Furkan, H. & Kutluca, T. (2012). The effect of dynamics Mathematics Software GeoGebra on student achievement in teaching of trigonometry. Procedia Social and Behavioural Sciences, 31, 183-187.

Zulnaidi, H. & Zamri, S. N. A. S. (2017). The Effectiveness of the GeoGebra Software: The Intermediary Role of Procedural Knowledge on Students’ Conceptual Knowledge and Their Achievement in Mathematics. EURASIA Journal of Mathematics Science and Technology Education, 2017 13(6):2155-2180.




DOI: http://dx.doi.org/10.46827/ejes.v10i9.4968

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