Data Analysis Integration Computer Imported Learning: A Microsoft Excel Case with Statistics
DOI:
https://doi.org/10.37134/ejsmt.vol9.1.3.2022Keywords:
Computer Integration, Microsoft Excel, StatisticsAbstract
The use of ICT in teaching and studying mathematics helps students to develop mathematics. The practice's application, therefore, depends on different considerations, amongst which: teachers' expectations of their ICT teaching skills, instructor attitudes towards teachers in mathematics, teacher attitudes towards ICT contributions to student mathematics awareness. The research was undertaken to assess ICT integration readiness in the classroom in the Paracelis district for mathematics teachers at secondary schools. The thesis used a questionnaire with comments on any of the above variables. This questionnaire was forwarded to 15 mathematics teachers at Paracelis District secondary schools. It shows that ICT teachers' intervention in mathematics has an average limit of 4.06. It also ensures that mathematics teachers are confident and willing to use ICT in mathematics and mathematics instruction. The research results indicated that the controls and the sample groups were substantially different and verified. It shows that the research group was higher than the test group. The use of Microsoft Excel in integrating machine data in the resolution of statistics positively affects the student's performance. The integration of ICT into teaching, therefore, has an advantageous effect on the progress of students.
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Gibson, P. A., Stringer, K., Cotten, S. R., Simoni, Z., O'neal, L. J., & Howell-Moroney, M. (2014). Changing teachers, changing students? The impact of a teacher-focused intervention on students' computer usage, attitudes, and anxiety. Computers & Education, 71, 165-174.
Ciampa, K. (2014). Learning in a mobile age: an investigation of student motivation. Journal of Computer Assisted Learning, 30(1), 82-96.
Hashem, I. A. T., Yaqoob, I., Anuar, N. B., Mokhtar, S., Gani, A., & Khan, S. U. (2015). The rise of “big data” on cloud computing: Review and open research issues. Information systems, 47, 98-115.
Lesnussa, Y., Melsasail, N., & Leleury, Z. (2016). Application of Principal Component Analysis for Face Recognition Based on Weighting Matrix Using Gui Matlab. EDUCATUM Journal of Science, Mathematics and Technology, 3(2), 1-7. Retrieved from https://ejournal.upsi.edu.my/index.php/EJSMT/article/view/44
Ozofor, N. M. (2015). EFFECT OF TWO MODES OF COMPUTER AIDED INSTRUCTION ON STUDENTS’ACHIEVEMENT AND INTEREST IN STATISTICS AND PROBABILITY. International journal of education and research, 3(1).
Fairlie, R.W. and Kalil, A. (2016). The Effect of Computers on Children’s Social Development and School Participation: Evidence from a Randomized Experiment. National Bureau of Economic Research, NBER Working Paper No. 22907.
Nizarudin, Muhtarom, and Sugiyanti. (2017). Improving Students’ Problem Solving-Ability in Mathematics through Game-Based Learning Activities: World Transactions on Engineering and technology Education Vol.15, No.2.
Critina, J., Ibararan, P., Cueto, S., Santiago, A., and Severin, E. (2017). Technology and Child Development: Evidence from the one laptop per Child Program. American Economic Journal: Applied Economics, pp. 295-320.
Faber, B., Sanchis-Guarner, R., and Weinhardt, F. (2015). ICT and Education: Evidence from Student Home Address: National Bureau of Economic Research. NBER Working Paper No. 21306.
Scherer, R., Siddiq, F., & Tondeur, J. (2019). The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers’ adoption of digital technology in education. Computers & Education, 128, 13-35.
Bal-Taştan, S., Davoudi, S. M. M., Masalimova, A. R., Bersanov, A. S., Kurbanov, R. A., Boiarchuk, A. V., & Pavlushin, A. A. (2018). The impacts of teacher’s efficacy and motivation on student’s academic achievement in science education among secondary and high school students. EURASIA Journal of Mathematics, Science and Technology Education, 14(6), 2353-2366.
Tanveer, M (2011), Integrating E-Learning in classroom-based language teaching: Perceptions, challenges and strategies. http://conference .pixelonline.net /ICT4LL2011// commom//download/Paper_pdf/IEC141-252-FP-Tanveer-ICT4LL2011.pdf.[23 June2016]
Guzeller, C. O., & Akin, A. (2014). Relationship between ICT Variables and Mathematics Achievement Based on PISA 2006 Database: International Evidence. Turkish Online Journal of Educational Technology-TOJET, 13(1), 184-192.
Eickelmann, B., Gerick, J., & Koop, C. (2017). ICT use in mathematics lessons and the mathematics achievement of secondary school students by international comparison: Which role do school level factors play?. Education and Information Technologies, 22(4), 1527-1551.
Torres-Díaz, J. C., Duart, J. M., Gómez-Alvarado, H. F., Marín-Gutiérrez, I., & Segarra-Faggioni, V. (2016). Internet use and academic success in university students. Comunicar. Media Education Research Journal, 24(2).
Torres-Díaz, J. C., Duart, J. M., Gómez-Alvarado, H. F., Marín-Gutiérrez, I., & Segarra-Faggioni, V. (2016). Internet use and academic success in university students. Comunicar. Media Education Research Journal, 24(2).
Noshahr, R., Talebi, B., & Mojallal, M. (2014). The Relationship between use of Cell-phone with Academic Achievement in Female Students. Applied Mathematics in Engineering, Management and Technology, 2(2), 424-428. https://bit.ly/2EiKmvB
O’Flaherty, J., & Philips, C. (2015). The Use of Flipped Classrooms in Higher Education: A Scoping Review. Internet and Higher Education, 25, 85-95. https://doi.org/10.1016/j.iheduc.2015.02.002
Rohaeti, E. E., Bernard, M., & Primandhika, R. B. (2019). Developing Interactive Learning Media for School Level Mathematics through Open-Ended Approach Aided by Visual Basic Application for Excel. Journal on Mathematics Education, 10(1), 59-68.
Aydos, M. (2015). The Impact of Teaching Mathematics with Geogebra on the Conceptual Understanding of Limits and Continuity: The Case of Turkish Gifted and Talented Students (Unpublished master’s thesis). İhsan Doğramacı Bilkent University, Ankara, Turkey.
Ocal, M. F. (2017). The Effect of Geogebra on Students' Conceptual and Procedural Knowledge: The Case of Applications of Derivative. Higher Education Studies, 7(2), 67-78.
Tatar, E., & Zengin, Y. (2016). Conceptual understanding of definite integral with Geogebra. Computers in the Schools, 33(2), 120-132.
Lueckmann, J. M., Goncalves, P. J., Bassetto, G., Öcal, K., Nonnenmacher, M., & Macke, J. H. (2017). Flexible statistical inference for mechanistic models of neural dynamics. arXiv preprint arXiv:1711.01861.
Fritz, C. O., Morris, P. E., & Richler, J. J. (2012). Effect size estimates: current use, calculations, and interpretation. Journal of experimental psychology: General, 141(1), 2.
Valencia, B. (2016) Impact of Computer Assisted Instruction on Achievement in Seventh Grade Mathematics. Jaye Luke, Ph.D., Advisor, Master of Arts in Education
Bai, Y., Mo, D., Zhang, L., Boswell, M., & Rozelle, S. (2016). The impact of integrating ICT with teaching: Evidence from a randomized controlled trial in rural schools in China. Computers & Education, 96, 1-14.
Ragasa, Carmelita. (August 2017) Instruction and the Traditional Method of Teaching Basic. Statistics. https://doi.org/10.1080/10691898.2008.11889556
Mulenga, E. M., Prieto, J. M. M. (2018). Teachers’ ICT Skills, Beliefs and Attitudes towards ICT Integration in the Teaching and Learning of Mathematics. A Local Study in Kabwe District in Zambia. Published August 10, 2018.
Das, K. (2019). Role of ICT for Better Mathematics Teaching. Shanlax International Journal of Education, 7(4), 19-28.
Bozkurt, G. (2016). Mathematics Teachers and ICT: Factors Affecting Pre-service use in the School Placements. Volume 2, Issue 2, Summer 2016.
Chakravarty, A., Liu, Y., & Mazumdar, T. (2010). The differential effects of online word-of-mouth and critics' reviews on pre-release movie evaluation. Journal of Interactive Marketing, 24(3), 185-197.
Kasmin, F., Othman, Z., & Syed Ahmad, S. S. (2019). Improving Students’ Perception Towards Learning Mathematics: Impact of Teaching Application of Mathematics. EDUCATUM Journal of Science, Mathematics and Technology, 6(1), 29-34. https://doi.org/10.37134/ejsmt.vol6.1.4.2019
Sanger, M. N., & Osguthorpe, R. D. (2011). Teacher education, preservice teacher beliefs, and the moral work of teaching. Teaching and teacher education, 27(3), 569-578.
Voogt, J. (2010). Teacher factors associated with innovative curriculum goals and pedagogical practices: differences between extensive and non‐extensive ICT‐using science teachers. Journal of Computer Assisted Learning, 26(6), 453-464.
MULENGA, E. M., MARÍA, J., & PRIETO, M. (2018). TEACHERS’ICT SKILLS, BELIEFS AND ATTITUDES TOWARDS ICT INTEGRATION IN THE TEACHING AND LEARNING OF MATHEMATICS. A LOCAL STUDY IN KABWE DISTRICT IN ZAMBIA. Journal of Global Research in Education and Social Science, 11(4), 176-189.
Kamodi, T. L., & Garegae, K. G. (2016). TEACHERS’PERCEPTIONS ON USE OF MICROSOFT EXCEL IN TEACHING AND LEARNING OF SELECTED CONCEPTS IN JUNIOR SECONDARY SCHOOL MATHEMATICS SYLLABUS IN BOTSWANA.
Avalos, B. (2016). Learning from research on beginning teachers. In International handbook of teacher education (pp. 487-522). Springer, Singapore.
Fernández Batanero, J. M., & Colmenero Ruíz, M. J. (2016). ICT and inclusive education: attitude of the teachers in secondary education. Journal of Technology and Science Education, 6 (1), 19-25.
Ghavifekr, S., & Rosdy, W. A. W. (2015). Teaching and learning with technology: Effectiveness of ICT integration in schools. International Journal of Research in Education and Science, 1(2), 175-191.
Klusmann, U., Richter, D., & Lüdtke, O. (2016). Teachers’ emotional exhaustion is negatively related to students’ achievement: Evidence from a large-scale assessment study. Journal of Educational Psychology, 108(8), 1193.
Kennah, M.R. (2016). The Use of ICT in the Teaching and Learning Process in Secondary Schools: A Case Study of Two Cameroonian schools.
Velickovic, S. & Stosic, L. (2016). Preparedness of Educators to Implement Modern Information Technologies in their Work with Preschool Children. International Journal of Cognitive Research in Science, Engineering and Education. Vol. 4 No. 1. 2016.
Taylor, J. C., Martin, H. C., Lise, S., Broxholme, J., Cazier, J. B., Rimmer, A., ... & McVean, G. (2015). Factors influencing success of clinical genome sequencing across a broad spectrum of disorders. Nature genetics, 47(7), 717-726.Lubienski, S.T. (2007, November). What We Can Do About Achievement Disparities. Education Leadership, 65,54-59. Retrieved April 16, 2020 from https://files.eric.ed.gov/fulltext/ED504828.pdf
Genlott, A. A., & Grönlund, Å. (2016). Closing the gaps–Improving literacy and mathematics by ICT-enhanced collaboration. Computers & Education, 99, 68-80.
Bellibas, M. S. (2016). Who Are the Most Disadvantaged? Factors Associated with the Achievement of Students with Low Socio-Economic Backgrounds. Educational Sciences: Theory and Practice, 16(2), 691-710.
Bai, Y., Mo, D., Zhang, L., Boswell, M., & Rozelle, S. (2016). The impact of integrating ICT with teaching: Evidence from a randomized controlled trial in rural schools in China. Computers & Education, 96, 1-14.
Wilson, A. B., Brown, K. M., Misch, J., Miller, C. H., Klein, B. A., Taylor, M. A., ... & Lazarus, M. D. (2019). Breaking with tradition: A scoping meta‐analysis analyzing the effects of student‐centered learning and computer‐aided instruction on student performance in anatomy. Anatomical sciences education, 12(1), 61-73.
Falck, O., Mang, C., & Woessmann, L. (2018). Virtually no effect? Different uses of classroom computers and their effect on student achievement. Oxford Bulletin of Economics and Statistics, 80(1), 1-38.
