Improving Integral Concept Understanding Ability through ICT: Systematic Literature Review

Keywords: ICT, Integral, PRISMA, Systematic literature review

Abstract

Understanding the concept of integral is critical for engineering students, particularly civil engineering students. Many civil engineering students struggle to understand the concept of antiderivatives and the procedure for calculating integral. The objective of this study was to examine if technology, especially information and communication technology (ICT), can significantly improve civil engineering students' knowledge of the integral. The research sample comprises ten studies that employ diverse research approaches to investigate the impact of integrating ICT, including GeoGebra, Maple, MATLAB, and Other technologies, on enhancing knowledge of integral concepts. The method employed was a Systematic Literature Review (SLR) that followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework. ERIC, SCOPUS, and Google Scholar-indexed journals published between 2012 and 2023 were sampled. The findings revealed that studying with Maple and Integrating technology has a significant impact on helping students comprehend integrals. It is demonstrated by the effect size values of 1,23 and 1,26, respectively.

References

Adhikari, G. P. (2021). Conceptual Understanding of Definite Integral: An Experimental Study Using Geo-Gebra at University Level. Butwal Campus Journal, 4(1–2), 89–102. https://doi.org/10.3126/bcj.v4i1-2.45009

Akin, J. E. (2022). Finite Element Analysis: With Numeric and Symbolic Matlab. World Scientific.

Aldammagh, Z., Abdaljawad, R., & Obaid, T. (2021). Factors driving e-learning adoption in palestine: an integration of technology acceptance model and is success model. Financial Internet Quarterly, 17(1), 41–49. https://doi.org/10.2478/fiqf-2021-0005

Alqahtani, M. M., & Powell, A. B. (2016). Instrumental Appropriation of a Collaborative, Dynamic-Geometry Environment and Geometrical Understanding. International Journal of Education in Mathematics, Science and Technology, 4(2), 72. https://doi.org/10.18404/ijemst.38054

Amevor, G., Bayaga, A., & Bosse, M. J. (2021). Analysis of Rural-Based Pre-Service Teachers Spatial-Visualisation Skills in Problem Solving in Vector Calculus Using MATLAB. International Journal of Emerging Technologies in Learning (IJET), 16(10), 125. https://doi.org/10.3991/ijet.v16i10.19269

Arbain, N., & Shukor, N. A. (2015). The Effects of GeoGebra on Students Achievement. Procedia-Social and Behavioral Sciences, 172, 208–214. https://doi.org/10.1016/j.sbspro.2015.01.356

Attorps, I., Björk, K., Radic, M., & Tossavainen, T. (2013). Varied ways to teach the definite integral concept. International Electronic Journal of Mathematics Education, 8(2–3), 81–99. https://doi.org/10.29333/iejme/275

Awang, T. S., & Zakaria, E. (2012). The Effects of Integrating Technology on Students’ Conceptual and Procedural Understandings in Integral Calculus. Asian Social Science, 8(16). https://doi.org/10.5539/ass.v8n16p8

Awang-Salleh, T. S., & Zakaria, E. (2012). The effects of integrating technology on students’ conceptual and procedural understandings in integral calculus. Asian Social Science, 8(16), 8. https://doi.org/10.29333/iejme/275

Bayaga, A., Mthethwa, M. M., Bossé, M. J., & Williams, D. (2019). Impacts of implementing geogebra on eleventh grade student’s learning of Euclidean Geometry. South African Journal of Higher Education, 33(6), 32–54. https://doi.org/10.20853/33-6-2824

Becker, L. A. (2000). Effect size (ES).

Bingimlas, K. A. (2009). Barriers to the successful integration of ICT in teaching and learning environments: A review of the literature. Eurasia Journal of Mathematics, Science and Technology Education, 5(3), 235–245https://doi.org/10.12973/ejmste/75275

Binti Misrom, N. S., Muhammad, A. S., Abdullah, A. H., Osman, S., Hamzah, M. H., & Fauzan, A. (2020). Enhancing Students’ Higher-Order Thinking Skills (HOTS) Through an Inductive Reasoning Strategy Using Geogebra. International Journal of Emerging Technologies in Learning (IJET), 15(3), 156. https://doi.org/10.3991/ijet.v15i03.9839

Bower, M. (2019). Technology‐mediated learning theory. British Journal of Educational Technology, 50(3), 1035–1048. https://doi.org/10.1111/bjet.12771

Celen, Y. (2020). Student Opinions on the Use of Geogebra Software in Mathematics Teaching. Turkish Online Journal of Educational Technology-TOJET, 19(4), 84–88. https://eric.ed.gov/?id=EJ1272890

Chai, S. (2020). Finite Element Analysis for Civil Engineering with DIANA Software. Springer Nature.

Chaudhuri, A., Datta, R., Kumar, M. P., Davim, J. P., & Pramanik, S. (2022). Energy conversion strategies for wind energy system: Electrical, mechanical and material aspects. Materials, 15(3), 1232. https://doi.org/10.3390/ma15031232

Conde, M. A., Sedano, F. J. R., Fernandez-Llamas, C., Goncalves, J., Lima, J., & Garcia-Penalvo, F. J. (2020). RoboSTEAM Project Systematic Mapping: Challenge Based Learning and Robotics. 2020 IEEE Global Engineering Education Conference (EDUCON), 214–221. https://doi.org/10.1109/EDUCON45650.2020.9125103

Das, S., & Saha, P. (2018). A review of some advanced sensors used for health diagnosis of civil engineering structures. Measurement, 129, 68–90. https://doi.org/10.1016/j.measurement.2018.07.008

Dockendorff, M., & Solar, H. (2018). ICT integration in mathematics initial teacher training and its impact on visualization: the case of GeoGebra. International Journal of Mathematical Education in Science and Technology, 49(1), 66–84. https://doi.org/10.1080/0020739X.2017.1341060

Eyrikh, N., Bazhenov, R., Gorbunova, T., & Masyagin, V. (2020). Implementing Interactive Information Technologies When Learning Integral Calculus in Teaching Further Mathematics (pp. 163–172). https://doi.org/10.1007/978-3-030-46895-8_13

Ferk Savec, V., & Mlinarec, K. (2021). Experimental work in science education from green chemistry perspectives: A systematic literature review using PRISMA. Sustainability, 13(23), 12977. https://doi.org/10.3390/su132312977

García-Alberti, M., Suárez, F., Chiyón, I., & Mosquera Feijoo, J. C. (2021). Challenges and experiences of online evaluation in courses of civil engineering during the lockdown learning due to the COVID-19 pandemic. Education Sciences, 11(2), 59. https://doi.org/10.3390/educsci11020059

Gonzalez-Martin, A., & Hernandes-Gomes, G. (2019). The graph of a function and its antiderivative: A praxeological analysis in the context of Mechanics of Solids for engineering. Eleventh Congress of the European Society for Research in Mathematics Education, 20. https://hal.science/hal-02422635/

González-Martin, A. S., & Gomes, G. H. (2017). How are Calculus notions used in engineering? An example with integrals and bending moments. CERME 10. https://hal.science/hal-01941357/document

Juandi, D. (2021). Heterogeneity of problem-based learning outcomes for improving mathematical competence: A systematic literature review. Journal of Physics: Conference Series, 1722(1). https://doi.org/10.1088/1742-6596/1722/1/012108

Juma, Z. O., Isaac Owino Okoth, & Michael Obiero Oyengo. (2022). Delivery of Integral Calculus at Maseno University: Is STACK Really Playing an Integral Part? International Journal of Emerging Technologies in Learning (IJET), 17(23), 64–68. https://doi.org/10.3991/ijet.v17i23.36621

Kado, K., Dorji, N., Dem, N., & Om, D. (2022). The effect of differentiated instruction on academic achievement of grade eleven students in the field of derivative in Bhutan. International Journal of Educational Studies in Social Sciences (IJESSS), 2(1), 27–34. https://doi.org/10.53402/ijesss.v2i1.37

Karnovsky, I. A., & Lebed, O. (2021). Advanced methods of structural analysis. Springer Nature.

Kassimali, A. (2018). Structural analysis. Cengage Learning.

Lawrence, J. E., & Tar, U. A. (2018). Factors that influence teachers’ adoption and integration of ICT in teaching/learning process. Educational Media International, 55(1), 79–105.

Machromah, I. U., Purnomo, M. E. R., & Sari, C. K. (2019). Learning calculus with geogebra at college. Journal of Physics: Conference Series, 1180(1), 012008. https://doi.org/10.1080/09523987.2018.1439712

Majid, M. A., Huneiti, Z. A., Al-Naafa, M. A., & Balachandran, W. (2012). A study of the effects of using MATLAB as a pedagogical tool for engineering mathematics students. 2012 15th International Conference on Interactive Collaborative Learning (ICL), 1–9. https://doi.org/10.1109/ICL.2012.6402183

Marini, A., Passoni, C., Belleri, A., Feroldi, F., Preti, M., Metelli, G., Riva, P., Giuriani, E., & Plizzari, G. (2022). Combining seismic retrofit with energy refurbishment for the sustainable renovation of RC buildings: A proof of concept. European Journal of Environmental and Civil Engineering, 26(7), 2475–2495. https://doi.org/10.1080/19648189.2017.1363665

Milenković, A., Takači, Đ., & Božić, R. (2022). On the influence of software application for visualization in teaching double integrals. Interactive Learning Environments, 30(7), 1291–1306. https://doi.org/10.1080/10494820.2020.1719164

Mohamed, M. Z. bin, Hidayat, R., Suhaizi, N. N. binti, Sabri, N. binti M., Mahmud, M. K. H. bin, & Baharuddin, S. N. binti. (2022). Artificial intelligence in mathematics education: A systematic literature review. International Electronic Journal of Mathematics Education, 17(3), em0694. https://doi.org/10.29333/iejme/12132

Negara, H. R. P., Wahyudin, Nurlaelah, E., & Herman, T. (2022). Improving Students’ Mathematical Reasoning Abilities Through Social Cognitive Learning Using GeoGebra. International Journal of Emerging Technologies in Learning (IJET), 17(18), 118–135. https://doi.org/10.3991/ijet.v17i18.32151

Nurhayati, L., Priatna, N., Herman, T., & Dasari, D. (2023). LEARNING OBSTACLE PADA MATERI INTEGRAL (ANTIDERIVATIVE) DALAM TEORI SITUASI DIDAKTIS. AKSIOMA: Jurnal Program Studi Pendidikan Matematika, 12(1), 984. https://doi.org/10.24127/ajpm.v12i1.6470

Nurhayati, L., Suryadi, D., Dasari, D., & Herman, T. (2023). Integral (antiderivative) learning with APOS perspective: A case study. Journal on Mathematics Education, 14(1), 129–148. https://doi.org/10.22342/jme.v14i1.pp129-148

OBrien, E. J., Zhang, L., Zhao, H., & Hajializadeh, D. (2018). Probabilistic bridge weigh-in-motion. Canadian Journal of Civil Engineering, 45(8), 667–675. https://doi.org/10.1139/cjce-2017-0508

Pedro, L. F. M. G., Barbosa, C. M. M. de O., & Santos, C. M. das N. (2018). A critical review of mobile learning integration in formal educational contexts. International Journal of Educational Technology in Higher Education, 15, 1–15. https://doi.org/10.1186/s41239-018-0091-4

Pinkernell, G., Diego-Mantecón, J. M., Lavicza, Z., & Sangwin, C. (2023). AuthOMath: Combining the Strengths of STACK and GeoGebra for School and Academic Mathematics. International Journal of Emerging Technologies in Learning (IJET), 18(3), 201–204. https://doi.org/10.3991/ijet.v18i03.36535

Rangel, R. L., & Martha, L. F. (2019). LESM—An object‐oriented MATLAB program for structural analysis of linear element models. Computer Applications in Engineering Education, 27(3), 553–571. https://doi.org/10.1002/cae.22097

Sallah, E. K. (2021). Use of Maple Software to Reduce Senior High School Students’ Errors in Integral Calculus. African Journal of Educational Studies in Mathematics and Sciences, 17(2), 51–59. https://www.ajol.info/index.php/ajesms/article/view/221623

Sallah, E. K., Sogli, J. K., Owusu, A., & Edekor, L. K. (2020). Effective Application Of Maple Software To Reduce Student Teachers’errors In Integral Calculus. Statistics, 4(3), 64–78. https://doi.org/10.52589/AJMSSWRFGFPIH.

Salleh, T. S. A. @, & Zakaria, E. (2013). Enhancing Students’ Understanding in Integral Calculus through the Integration of Maple in Learning. Procedia - Social and Behavioral Sciences, 102, 204–211. https://doi.org/10.1016/j.sbspro.2013.10.734

Salleh, T. S., & Zakaria, E. (2016). The Effects of Maple Integrated Strategy on Engineering Technology Students’ Understanding of Integral Calculus. Turkish Online Journal of Educational Technology-TOJET, 15(3), 183–194. https://eric.ed.gov/?id=EJ1106377

Septian, A., Suwarman, R. F., Monariska, E., & Sugiarni, R. (2020). Somatic, auditory, visualization, intellectually learning assisted by GeoGebra to improve student’s mathematical representation skills. Journal of Physics: Conference Series, 1657(1), 012023. https://doi.org/10.1088/1742-6596/1657/1/012023

Sharifi, S., & Toopchi-Nezhad, H. (2018). Seismic response modification factor of RC-frame structures based on limit state design. International Journal of Civil Engineering, 16(9), 1185–1200. https://doi.org/10.1007/s40999-017-0276-6

Srivastava, A. (2021). Causality and passivity: From electromagnetism and network theory to metamaterials. Mechanics of Materials, 154, 103710. https://doi.org/10.1016/j.mechmat.2020.103710

Syarifuddin, H., Arnawa, I. M., Bahri, S., Bakar, N. N., Rahmadya, B., Nita, S., & Adona, F. (2023). How Can Blended Learning and GeoGebra Promote Students’ Achievement in Calculus during the COVID-19 Pandemic? Journal of Hunan University Natural Sciences, 50(2). https://doi.org/10.55463/issn.1674-2974.50.2.6

Tamam, B., & Dasari, D. (2021). The use of Geogebra software in teaching mathematics. Journal of Physics: Conference Series, 1882(1), 012042. https://doi.org/10.1088/1742-6596/1882/1/012042

Tatar, E., & Zengin, Y. (2016). Conceptual understanding of definite integral with Geogebra. Computers in the Schools, 33(2), 120–132. https://doi.org/10.1080/07380569.2016.1177480

Weinhandl, R., Lavicza, Z., Hohenwarter, M., & Schallert, S. (2020). Enhancing flipped mathematics education by utilising GeoGebra. International Journal of Education in Mathematics, Science and Technology, 8(1), 1–15. https://eric.ed.gov/?id=EJ1240531

Xiao, Y., & Watson, M. (2019). Guidance on conducting a systematic literature review. Journal of Planning Education and Research, 39(1), 93–112. https://doi.org/10.1177/0739456X17723971

Zakaria, E., & Salleh, T. S. (2015a). Using Technology in Learning Integral Calculus. Mediterranean Journal of Social Sciences. https://doi.org/10.5901/mjss.2015.v6n5s1p144

Zakaria, E., & Salleh, T. S. (2015b). Using technology in learning integral calculus. Mediterranean Journal of Social Sciences, 6(5), 144. https://doi.org/10.5901/mjss.2015.v6n5s1p144

Zotos, K. (2007). Performance comparison of Maple and Mathematica. Applied Mathematics and Computation, 188(2), 1426–1429. https://doi.org/10.1016/j.amc.2006.11.008

Published
2026-01-26
Section
Articles