ICT-Based Mathematics Learning Assessment: A Systematic Review of Effectiveness, Challenges, and Pedagogical Impacts
DOI:
https://doi.org/10.33394/j-ps.v13i4.16987Keywords:
assessment, ict, mathematics, challenges, pedagogical impact, effectivenessAbstract
The importance of integrating Information and Communication Technology (ICT) into mathematics learning lies in its potential to enhance students’ critical thinking, problem-solving, and logical reasoning skills. Conventional assessments often face limitations in providing personalized and dynamic feedback. This study aims to examine the effectiveness, challenges, and pedagogical impacts of ICT-based mathematics assessment through a systematic review of literature published between 2020 and 2025. The research method employed is a Systematic Literature Review (SLR) following the PRISMA guidelines. Data were collected from the Scopus, WoS, ERIC, and Google Scholar databases using relevant keywords. The selection process involved identification, screening, eligibility assessment, and inclusion, resulting in n=15 articles for comprehensive analysis. The findings indicate that ICT-based assessment is effective in measuring cognitive domains, particularly conceptual understanding (33.3%), problem solving (26.7%), and learning outcomes (26.7%), while other aspects remain limited mathematical reasoning and self-assessment (13.3%). Furthermore, challenges in implementing ICT-based mathematics assessment include the design and development of instruments, technical and infrastructural limitations, teachers’ readiness and competencies, as well as student characteristics and the context of online learning. ICT-based assessment in mathematics also provides five main pedagogical impacts: enhancing student engagement and motivation, offering feedback and self-reflection, fostering cognitive and problem-solving skills, improving learning efficiency, and promoting pedagogical innovation.
References
Alabdulaziz, M. S. (2021). COVID-19 and the use of digital technology in mathematics education. Education and Information Technologies, 26(6), 7609–7633. https://doi.org/10.1007/s10639-021-10602-3
Arbelaez Ossa, L., Lorenzini, G., Milford, S. R., Shaw, D., Elger, B. S., & Rost, M. (2024). Integrating ethics in AI development: a qualitative study. BMC Medical Ethics, 25(1). https://doi.org/10.1186/s12910-023-01000-0
Arslan, A., Cooper, C., Khan, Z., Golgeci, I., & Ali, I. (2022). Artificial intelligence and human workers interaction at team level: a conceptual assessment of the challenges and potential HRM strategies. International Journal of Manpower, 43(1), 75–88. https://doi.org/10.1108/IJM-01-2021-0052
Azevedo, B. F., Pereira, A. I., Fernandes, F. P., & Pacheco, M. F. (2022). Mathematics learning and assessment using MathE platform: A case study. Education and Information Technologies, 27(2), 1747–1769. https://doi.org/10.1007/s10639-021-10669-y
Buzick, H. M., Rhoad-Drogalis, A., Laitusis, C. C., & King, T. C. (2019). Teachers’ Views of Their Practices Related to Common Core State Standards-Aligned Assessments. ETS Research Report Series, 2019(1), 1–18. https://doi.org/10.1002/ets2.12277
Caspari-Sadeghi, S., Mille, E., Epperlein, H., & Forster-Heinlein, B. (2022). Stimulating Reflection through Self-Assessment: Certainty-based Marking (CBM) in Online Mathematics Learning. MATHEMATICS TEACHING RESEARCH JOURNAL, 14(2), 145–156.
Cirneanu, A. L., & Moldoveanu, C. E. (2024). Use of Digital Technology in Integrated Mathematics Education. Applied System Innovation, 7(4). https://doi.org/10.3390/asi7040066
Davies, A., Veličković, P., Buesing, L., Blackwell, S., Zheng, D., Tomašev, N., Tanburn, R., Battaglia, P., Blundell, C., Juhász, A., Lackenby, M., Williamson, G., Hassabis, D., & Kohli, P. (2021). Advancing mathematics by guiding human intuition with AI. Nature, 600(7887), 70–74. https://doi.org/10.1038/s41586-021-04086-x
de Schipper, E., Feskens, R., Salles, F., Keskpaik, S., dos Santos, R., Veldkamp, B., & Drijvers, P. (2025). Identifying students’ solution strategies in digital mathematics assessment using log data. Large-Scale Assessments in Education, 13(1). https://doi.org/10.1186/s40536-025-00259-6
Delcker, J., Heil, J., & Ifenthaler, D. (2024). Evidence-based development of an instrument for the assessment of teachers’ self-perceptions of their artificial intelligence competence. Educational Technology Research and Development. https://doi.org/10.1007/s11423-024-10418-1
Desai, R., Rai, N., & Karekar, J. (2022). Optimum Use of LMS for Dynamic Mathematics Classrooms in Blended Mode. Journal of Engineering Education Transformations, 36(Special Issue 2), 492–499. https://doi.org/10.16920/jeet/2023/v36is2/23075
Divjak, B., Žugec, P., & Pažur Aničić, K. (2024). E-assessment in mathematics in higher education: a student perspective. International Journal of Mathematical Education in Science and Technology, 55(8), 2046–2068. https://doi.org/10.1080/0020739X.2022.2117659
Doz, D., d’Assise Dogbalou, M. W., Juma, Z. O., & Lewański, D. (2025). Latent class analysis of student attitudes and performance in online mathematics assessments: a Technology Acceptance Model approach. International Journal of Mathematical Education in Science and Technology. https://doi.org/10.1080/0020739X.2025.2502859
Doz, E., Cuder, A., Pellizzoni, S., Granello, F., & Passolunghi, M. C. (2024). The interplay between ego-resiliency, math anxiety and working memory in math achievement. Psychological Research. https://doi.org/10.1007/s00426-024-01995-0
Edwards, P., Zhang, W., Belton, B., & Little, D. C. (2019). Misunderstandings, myths and mantras in aquaculture: Its contribution to world food supplies has been systematically over reported. Marine Policy, 106. https://doi.org/10.1016/j.marpol.2019.103547
Fatmi, N., Muhammad, I., Muliana, M., & Nasrah, S. (2021). The Utilization of Moodle-Based Learning Management System (LMS) in Learning Mathematics and Physics to Students’ Cognitive Learning Outcomes. International Journal for Educational and Vocational Studies, 3(2), 155. https://doi.org/10.29103/ijevs.v3i2.4665
Febriati, F. (2021). The Impact of Computer-based Test and Students’ Ability in Computer Self-Efficacy on Mathematics Learning Outcomes. Journal of Education Technology, 5(4), 603–610. https://doi.org/10.23887/jet.v5i4.3
Flemming, K., Booth, A., Garside, R., Tunçalp, Ö., & Noyes, J. (2019). Qualitative evidence synthesis for complex interventions and guideline development: clarification of the purpose, designs and relevant methods. BMJ Global Health, 4(Suppl 1), e000882. https://doi.org/10.1136/bmjgh-2018-000882
Gamit, A. M. (2023). ICT Integration in Elementary School for Mathematics Subject. International Journal of Learning, Teaching and Educational Research, 2(22).
González-Calatayud, V., Prendes-Espinosa, P., Roig-Vila, R., & Carpanzano, E. (2021). applied sciences Review Artificial Intelligence for Student Assessment: A Systematic Review. Appl. Sci, 2021, 5467. https://doi.org/10.3390/app
Gusenbauer, M., & Haddaway, N. R. (2021). What every researcher should know about searching – clarified concepts, search advice, and an agenda to improve finding in academia. In Research Synthesis Methods (Vol. 12, Issue 2, pp. 136–147). John Wiley and Sons Ltd. https://doi.org/10.1002/jrsm.1457
Hadjerrouit, S. (2020). Using affordances and constraints to evaluate the use of a formative e-assessment system in mathematics education. CSEDU 2020 - Proceedings of the 12th International Conference on Computer Supported Education, 1, 366–373. https://doi.org/10.5220/0009352503660373
Haj-Yahya, A., & Olsher, S. (2022). Preservice teachers’ experiences with digital formative assessment in mathematics. International Journal of Mathematical Education in Science and Technology, 53(7), 1751–1769. https://doi.org/10.1080/0020739X.2020.1842527
Hernández-Martínez, M., Posso-Yépez, M., Cadena-Povea, H., Rivadeneira-Flores, J., & Placencia-Enríquez, F. (2025). ICT for the development of mathematical competencies in secondary education: a systematic review. In Cogent Education (Vol. 12, Issue 1). Taylor and Francis Ltd. https://doi.org/10.1080/2331186X.2025.2511038
HONG, Q. N., Pluye, P., Fàbregues, S., Bartlett, G., Boardman, F., Cargo, M., Dagenais, P., Gagnon, M.-P., Griffiths, F., Nicolau, B., Rousseau, M.-C., & Vedel, I. (2018). MIXED METHODS APPRAISAL TOOL (MMAT) VERSION 2018 User guide. Education for Information, 34(4). http://mixedmethodsappraisaltoolpublic.pbworks.com/
Joshi, D. R., Adhikari, K. P., Khanal, J., Belbase, S., & Khanal, B. (2023). Developing and integrating digital resources in online mathematics instruction and assessment during Covid-19. Cogent Education, 10(2). https://doi.org/10.1080/2331186X.2023.2230394
Kinnear, G., Iannone, P., & Davies, B. (2025). Student approaches to generating mathematical examples: comparing e-assessment and paper-based tasks. Educational Studies in Mathematics, 119(2), 179–201. https://doi.org/10.1007/s10649-024-10361-1
Klemer, A., Segal, R., Miedijensky, S., Herscu-Kluska, R., & Kouropatov, A. (2023). Changes in the attitudes of mathematics and science teachers toward the integration and use of computerized technological tools as a result of the COVID-19 pandemic. Eurasia Journal of Mathematics, Science and Technology Education, 19(7). https://doi.org/10.29333/ejmste/13306
Kraus, S., Breier, M., & Dasí-Rodríguez, S. (2020). The art of crafting a systematic literature review in entrepreneurship research. International Entrepreneurship and Management Journal, 16(3), 1023–1042. https://doi.org/10.1007/s11365-020-00635-4
Li, M. (2023). Chinese mathematics teachers’ TPACK and attitudes toward ICT integration in the post-pandemic era. Eurasia Journal of Mathematics, Science and Technology Education, 19(7). https://doi.org/10.29333/ejmste/13346
Mailizar, M., & Fan, L. (2020). Indonesian teachers’ knowledge of ICT and the use of ICT in secondary mathematics teaching. Eurasia Journal of Mathematics, Science and Technology Education, 16(1), 1–13. https://doi.org/10.29333/ejmste/110352
Marinho, P., Fernandes, P., & Pimentel, F. (2021). The digital portfolio as an assessment strategy for learning in higher education. Distance Education, 42(2), 253–267. https://doi.org/10.1080/01587919.2021.1911628
Martín-Martín, A., Thelwall, M., Orduna-Malea, E., & Delgado López-Cózar, E. (2021). Google Scholar, Microsoft Academic, Scopus, Dimensions, Web of Science, and OpenCitations’ COCI: a multidisciplinary comparison of coverage via citations. Scientometrics, 126(1), 871–906. https://doi.org/10.1007/s11192-020-03690-4
Mesa, M. L. C., & Monzón, N. S. (2021). ICT-BASED LEARNING ASSESSMENT: UNDERSTANDING ITS EDUCATIONAL DIMENSION IN THE CONTEXT OF THE BACHELOR OF SCIENCE IN EDUCATION DEGREE PROGRAM OF THE UNIVERSIDAD AUTÓNOMA DEL ESTADO DE HIDALGO. Universidad y Sociedad, 13(2), 75–86. https://orcid.org/0000-0002-9103-9714
Mohamadou, Y., Halidou, A., & Kapen, P. T. (2020). A review of mathematical modeling, artificial intelligence and datasets used in the study, prediction and management of COVID-19. Applied Intelligence, 50(11), 3913–3925. https://doi.org/10.1007/s10489-020-01770-9
Mohamed Shaffril, H. A., Ahmad, N., Samsuddin, S. F., Samah, A. A., & Hamdan, M. E. (2020). Systematic literature review on adaptation towards climate change impacts among indigenous people in the Asia Pacific regions. In Journal of Cleaner Production (Vol. 258). Elsevier Ltd. https://doi.org/10.1016/j.jclepro.2020.120595
Moral-Sánchez, S. N., Rey, F. J. R., & Cebrián-De-la-serna, M. (2023). Analysis of artificial intelligence chatbots and satisfaction for learning in mathematics education. International Journal of Educational Research and Innovation, 2023(20). https://doi.org/10.46661/ijeri.8196
Msafiri, M. M., Kangwa, D., & Cai, L. (2023). A systematic literature review of ICT integration in secondary education: what works, what does not, and what next? In Discover Education (Vol. 2, Issue 1). Discover. https://doi.org/10.1007/s44217-023-00070-x
Nurjanah, Dahlan, J. A., & Wibisono, Y. (2020). The Effect of Hands-On and Computer-Based Learning Activities on Conceptual Understanding and Mathematical Reasoning. International Journal of Instruction, 14(1), 143–160. https://doi.org/10.29333/IJI.2021.1419A
Page, M. J., Moher, D., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., Mcdonald, S., … Mckenzie, J. E. (2021). PRISMA 2020 explanation and elaboration: Updated guidance and exemplars for reporting systematic reviews. In The BMJ (Vol. 372). BMJ Publishing Group. https://doi.org/10.1136/bmj.n160
Palomares-Ruiz, A., Cebrián, A., López-Parra, E., & García-Toledano, E. (2020). Influence of ICTs on math teaching-learning processes and their connection to the digital gender gap. Sustainability (Switzerland), 12(16). https://doi.org/10.3390/su12166692
Perienen, A. (2020). Frameworks for ICT Integration in Mathematics Education - A Teacher’s Perspective. Eurasia Journal of Mathematics, Science and Technology Education, 16(6), 1–12. https://doi.org/10.29333/EJMSTE/7803
Rakes, C. R., Stites, M. L., Ronau, R. N., Bush, S. B., Fisher, M. H., Safi, F., Desai, S., Schmidt, A., Andreasen, J. B., Saderholm, J., Amick, L., Mohr-Schroeder, M. J., & Viera, J. (2022). Teaching Mathematics with Technology: TPACK and Effective Teaching Practices. Education Sciences, 12(2). https://doi.org/10.3390/educsci12020133
Rakoczy, K., Pinger, P., Hochweber, J., Klieme, E., Schütze, B., & Besser, M. (2019). Formative assessment in mathematics: Mediated by feedback’s perceived usefulness and students’ self-efficacy. Learning and Instruction, 60, 154–165. https://doi.org/10.1016/j.learninstruc.2018.01.004
Safonova, A., & Guner, M. (2023). Factor Analysis of Students’ Knowledge Assessment Based on the Results of Online Entrance Testing in Mathematics to the University under the Conditions of COVID-19. Education Sciences, 13(1). https://doi.org/10.3390/educsci13010046
Saha, J., Ahmmed, S., Tamal, M. A., Ali, M., & Rezaul, K. M. (2020). ICT based mathematics skill development program: An initiative to overcome mathematics anxiety. International Journal of Emerging Technologies in Learning, 15(14), 252–261. https://doi.org/10.3991/ijet.v15i14.14149
Sikurajapathi, I., Henderson, K., & Gwynllyw, R. (2020). Using e-assessment to address mathematical misconceptions in engineering students. International Journal of Information and Education Technology, 10(5), 356–361. https://doi.org/10.18178/ijiet.2020.10.5.1389
Slobodsky, P., & Durcheva, M. (2023). Guided e-Assessment of Math Proofs with the Halomda Platform. International Journal for Technology in Mathematics Education, 30(4), 227–234. https://doi.org/10.1564/tme_v30.4.4
Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333–339. https://doi.org/10.1016/j.jbusres.2019.07.039
Suryawan, I. P. P., Sudiarta, I. G. P., & Suharta, I. G. P. (2023). Students’ Critical Thinking Skills in Solving Mathematical Problems: Systematic Literature Review. Indonesian Journal Of Educational Research and Review, 6(1), 120–133. https://doi.org/10.23887/ijerr.v6i1.56462
Swiecki, Z., Khosravi, H., Chen, G., Martinez-Maldonado, R., Lodge, J. M., Milligan, S., Selwyn, N., & Gašević, D. (2022). Assessment in the age of artificial intelligence. Computers and Education: Artificial Intelligence, 3. https://doi.org/10.1016/j.caeai.2022.100075
Szabo, Z. K., Körtesi, P., Guncaga, J., Szabo, D., & Neag, R. (2020). Examples of problem-solving strategies in mathematics education supporting the sustainability of 21st-century skills. Sustainability (Switzerland), 12(23), 1–28. https://doi.org/10.3390/su122310113
Ukobizaba, F., Nizeyimana, G., & Mukuka, A. (2021). Assessment Strategies for Enhancing Students’ Mathematical Problem-solving Skills: A Review of Literature. Eurasia Journal of Mathematics, Science and Technology Education, 17(3), 1–10. https://doi.org/10.29333/ejmste/9728
Valdez, M. T. C. C., & Maderal, L. D. (2021a). An Analysis of Students’ Perception of Online Assessments and its Relation to Motivation Towards Mathematics Learning. The Electronic Journal of E-Learning, 19(5), 416–431. www.ejel.org
Valdez, M. T. C. C., & Maderal, L. D. (2021). An Analysis of Students’ Perception of Online Assessments and its Relation to Motivation Towards Mathematics Learning. The Electronic Journal of E-Learning, 19(5), 416–431. www.ejel.org
Verschaffel, L., Depaepe, F., & Mevarech, Z. (2019). Learning Mathematics in Metacognitively Oriented ICT-Based Learning Environments: A Systematic Review of the Literature. Education Research International, 19(9), 1–19. https://doi.org/10.1155/2019/3402035
Vittorini, P., Menini, S., & Tonelli, S. (2021). An AI-Based System for Formative and Summative Assessment in Data Science Courses. International Journal of Artificial Intelligence in Education, 31(2), 159–185. https://doi.org/10.1007/s40593-020-00230-2
Yayuk, E., Purwanto, As’Ari, A. R., & Subanji. (2020). Primary school students’ creative thinking skills in mathematics problem solving. European Journal of Educational Research, 9(3), 1281–1295. https://doi.org/10.12973/eu-jer.9.3.1281
Zegowitz, S. (2022). Evaluating the use of e-assessment in a first-year pure mathematics module. Teaching Mathematics and Its Applications, 42(2), 17. http://arxiv.org/abs/1908.01028
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Syarif Hidayatullah, Elly Arliani, Kana Hidayati

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).

This work is licensed under a Creative Commons Attribution 4.0 International License.

