The Effectiveness of Math Apps-Aided Instructions in Improving Mathematical Skills at Manggahan Elementary School
Keywords:
Math, Instruction, Effectiveness, Skills, Problem Solving, Basic OperationsAbstract
This study on improving mathematical skills using Math apps-aided instructions employed the quasi-experimental two-group-pretest-posttest design method of research. It was conducted using 20 control group and 20 experimental group for the school year 2021-2022 at Manggahan Elementary School. These participants were chosen purposively since the availability of the resources for the participants was considered in the section of the experimental group.
It was revealed in the findings of the study that both classes’ mathematical skills in terms of number sense, basic operation, problem-solving, and mathematical patterns was higher than the pre-test results by using Math Apps Aided Instruction for the experimental class and the conventional method for the controlled class. The experimental class’s mathematical skills in terms of number sense, basic operation, problem-solving, and mathematical patterns are the same as the control class. Moreover, when Math Apps Aided Instruction is used, the experimental subjects' mathematical abilities in terms of number sense, fundamental operations, problem solving, and mathematical patterns significantly improve. That there is a significant difference in scores exists between students taught using Math Apps Aided Instructions and those taught using the conventional method.
Finally, that Math Apps-Aided Instructions is more effective than the conventional method of instruction; consequently, Math Apps-Aided Instructions significantly improves participants' mathematical abilities in terms of number sense, basic operations, problem solving, and mathematical patterns.
References
Armitage, P., Berry, G., & Matthews, J. N. S. (2008). Statistical methods in medical research. John Wiley & Sons.
Bennett, J. G., Gardner, R, Cartledge, G., Ramnath, R & Council, M. R. (2017). Second-Grade Urban Learners: Preliminary Findings For A Computerassisted, Culturally Relevant, Repeated Reading Intervention. Education And Treatment Of Children, 40(2), 145–186. Https://Doi.Org/10.1353/Etc.20 17.0008
Bal, A. P. (2015). Skills Of Using And Transform Multiple Representations Of The Prospective Teachers. Procediasocial And Behavioral Sciences, 197, 582-588. Https://Doi.Org/10.1016/J.Sbspro.2015.07.197
Carreira, S. (2015). Mathematical Problem Solving Beyond School: Digital Tools And Students’ Mathematical Representations. In Selected Regular Lectures From The 12th International Congress On Mathematical Education (Pp. 93-113). Https://Doi.Org/10.1007/978-3-319-17187-6_6
Chen Et Al. (2020) A Study On Correlations Between Computer-Aided Instructions Integrated Environmental Education And Students’ Learning Outcome And Environmental Literacy Eurasia Journal Of Mathematics, Science And Technology Education, 2020, 16(6), Em1858 Issn:1305-8223 (Online) Open Access
Charagu, S. N. (2015). Effects Of Math-Apps AidedLearning On Secondary School Students’ Achievement In Chemistry In Murang’a South Sub-County, Murang’a County, Kenya. Unpublished Med Thesis, Kenyatta University, Nairobi.
De Leon (2015). Development of computer aided instructional CAI material in advanced algebra: Its acceptability. Eulogio Amang Rodriguez Institute of Science and Technology, Manila.
Degrande, T., Verschaffel, L., and van Dooren, W. (2016). “Proportional word problem solving through a modeling lens: a half-empty or half-full glass?,” in Posing and Solving Mathematical Problems, Research in Mathematics Education. Editor P. Felmer.
Dyson, K., Muir, T., & McIntosh, A. (2015). Developing an instrument to assess the number sense of young children. International Education Research Conference (pp. 1324-9339). Melbourne, Australia: AARE.
Ene, E., & Upton, T. A. (2018). Synchronous And Asynchronous Teacher Electronic Feedback And Learner Uptake In Esl Composition. Journal Of Second Language Writing, 41, 1-13. Https://Doi.Org/10.1016 /J.Jslw.2018.05.005
Espinosa, John Paul M. (2017) Learning with the help of technology. The Manila Times. Philippines
Fan, N., & Ma, Y. (2018). The Role Of Written Corrective Feedback In Second Language Writing Practice. Theory And Practice In Language Studies, 8(12), 1629- 1635. Https://Doi.Org/10.17507/Tpls.0812.08
Goulgouti, A., Plakitsi, A., & Stylos, G. (2019). Environmental Literacy: Evaluating Knowledge, Affect, And Behavior Of Pre-Service Teachers In Greece. Interdisciplinary Journal Of Environmental And Science Education, 15(1), E02202. Https://Doi.Org/ 10.29333/Ijese/6287
Gravemeijer, K. (1999). How Emergent Models May Foster the Constitution of Formal Mathematics. Math. Thinking Learn. 1 (2), 155–177. doi:10.1207/s15327833mtl0102_4
Hake, R. R. (1998). Interactive-engagement versus traditional methods: A six-thousand-student survey of mechanics test data for introductory physics courses. American journal of Physics, 66(1), 64-74.
Hilles, M. M., & Naser, S. S. A. (2017). Knowledge-Based Intelligent Tutoring System For Teaching Mongo Database. European Academic Research, 4(10), 8783- 8794
Hunter, R. H., & Jordan, R. C. (2019). The Tela: A New Tool For Assessing Educator Environmental Literacy. Interdisciplinary Journal Of Environmental Eurasia J Math Sci And Tech Ed 7 / 7 And Science Education, 15(1), E02201. Https://Doi.Org/10.29333/Ijese/6286
Husni Idris Et Al (2018) Developing Computer-Assisted Instruction Multimedia For Educational Technology Course Of Coastal Area Students
Developing Computer-Assisted Instruction Multimedia For Educational Technology Course Of Coastal Area Students Iop Conf. Ser.: Earth Environ. Sci. 156 012049
Julius, Judith Kinya (2018) Influence Of Computer Aided Instruction On Students’ Achievement, Self-Efficacy And Collaborative Skills In Chemistry In Secondary Schools Of Tharaka-Nithi County, Kenya. Philosophy In The School Of Education, Kenyatta University
Kareem, A. A. (2015). Effects Of Math-Apps Aided Instruction On Students’ Academic Achievement And Attitude In Biology In Osun State, Nigeria. Journal Of Emerging Trends In Educational Research And Policy Studies, 6(1), 69-73.
Keyes, S. E., Cartledge, G., Gibson, L., Jr., & Robinson-Ervin, P. (2016). Programming For Generalization Of Oral Reading Fluency Using Computerassisted Instruction And Changing Fluency Criteria. Education And Treatment Of Children 39(2), 141-172.
Munir, Kusnendar, J., & Rahmadhani. (2016). Developing An Effective Multimedia In Education For Special Education (Mese): An Introduction To Arithmetic. In Aip Conference Proceedings (Vol. 1708, P. 50001). Https://Doi.Org/10.1063/1.4941159
Oktavianingtyas, E., Salama, F. S., Fatahillah, A., Monalisa, L. A., & Setiawan, T. B. (2018). Development 3d Animated Story As Interactive Learning Media With Lectora Inspire And Plotagon On Direct And Inverse Proportion Subject. In Journal Of Physics: Conference Series (Vol. 1108, P. 12111). Https://Doi.Org/10.1088/1742-6596/1108/1/012111
Olakanmi, E. E., Gambari, I. A., Gbodi, E. B. & Abalaka, E. A. (2016). Promoting Intrinsic And Extrinsic Motivation Among Chemistry Students Using Math-Apps Aided Instruction. International Journal In Education Science, 12(2), 155-168.
Rosali, L. (2020) Effect Of Computer-Assisted Instruction (Cai) On The Academic Achievement In Secondary Physics. Open Access Library Journal, 7, 1-11. Doi: 10.4236/Oalib.1106319.
Schoenfeld, A. H. (2016). Learning to think mathematically: Problem solving, metacognition, and sense making in mathematics (reprint). J. Edu. 196 (2), 1–38. doi:10.1177/002205741619600202
Tolbert, Ernest Jr., (2015) "The Impact Of Computer-Aided Instruction On Student Achievement". Education Dissertations And Projects. 127. Https://Digitalcommons.Gardner-Webb.Edu/Education_Etd/127
Umbara Et Al (2020). Increase Representation In Mathematics Classes: Effects Of Computer Assisted Instruction Development With Hippo Animator. International Electronic Journal Of Mathematics Education E-Issn: 1306-3030. 2020, Vol. 15, No. 2, Em
