Development of Digital Briive (Brilliant Cognitive Instrument) as A Website- Based Cognitive Evaluation Tool for Children with Intellectual Disabilities
DOI:
https://doi.org/10.36456/special.vol6.no2.a10875Keywords:
cognitive assessment, intellectual disabilities, special education, digital evaluation, web-based assessment, Universal Design for LearningAbstract
The development of cognitive assessment for children with intellectual disabilities still faces limitations in terms of adaptability, efficiency, and utilization of digital technology. This study aims to develop Digital BRIIVE (Brilian Instrument Cognitive) as a website-based cognitive evaluation tool specifically designed to facilitate the assessment of basic thinking skills of students with intellectual disabilities. This development uses a Design-Based Research (DBR) model that includes the stages of needs analysis, system design, expert validation, design revision, and limited trials. This instrument measures aspects of cognitive development such as attention, working memory, and simple reasoning with the support of interactive visual and audio displays. The validation process was carried out by two validators, namely an expert in Special Education and a practicing teacher of Special Needs Education (SLB), covering aspects of appearance, content, language, and ease of use. The validation results showed an average score of 88% with a category of "very adequate". Revisions were made based on validator input, especially on simplifying the instruction language and increasing visual contrast. The limited trial involved five fourth-grade students with intellectual disabilities at Special Needs Education (SLB) C Autism Special Needs School in Kedungkandang, Malang. The results showed that students responded positively to the use of Digital BRIIVE, with increased motivation and ability to complete tests independently. Teachers also positively assessed the system's efficiency and ease of automatically displaying assessment results. Conceptually, Digital BRIIVE applies the principles of Universal Design for Learning and Dynamic Assessment, enabling adaptive and continuous assessment. The three-tier architecture system used ensures data stability and the security of the evaluation process. These findings indicate that Digital BRIIVE is feasible and effective as a technology-based cognitive assessment tool that is suited to the characteristics of children with special needs. The implications of this research strengthen the direction of digital transformation of special education assessment in Indonesia and open opportunities for the development of artificial intelligence-based instruments for more personalized and predictive evaluation in the future.
Downloads
References
Adam, D. A., Khaeruddin, K., & Arafah, K. (2023). Pengembangan Instrumen Tes Hasil Belajar Kognitif Fisika Kelas Xi Mipa Sma Negeri 2 Majene. Jurnal Sains Dan Pendidikan Fisika, 19(2), 183. https://doi.org/10.35580/jspf.v19i2.34499
Anderson, T., & Shattuck, J. (2012). Design-based research: A decade of progress in education research? Educational Researcher, 41(1), 16–25. https://doi.org/10.3102/0013189X11428813
Bambrick-Santoyo, P. (2019). Driven by data 2.0: A practical guide to improve instruction. John Wiley & Sons.
Black, P., & Wiliam, D. (2009). Developing the theory of formative assessment. Educational Assessment, Evaluation and Accountability, 21(1), 5–31. https://doi.org/10.1007/s11092-008-9068-5
Brilliana, K. (2022). Kemandirian Anak Tunagrahita di Sekolah Dasar Inklusi Al-Adilla. 135.
Brown, H. D., & Abeywickrama, P. (2019). Language assessment: Principles and classroom practices (3rd ed.). Pearson Education.
CAST. (2018). Universal Design for Learning guidelines version 2.2. CAST, Inc. https://udlguidelines.cast.org
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
Deci, E. L., & Ryan, R. M. (2000). The “what” and “why” of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227–268. https://doi.org/10.1207/S15327965PLI1104_01
Elliott, J. G., & Resing, W. C. M. (2015). Dynamic assessment: An interactional approach to evaluating learning potential. In J. A. Elliott & W. C. M. Resing (Eds.), Advances in intelligence and cognitive development (pp. 47–63). Springer. https://doi.org/10.1007/978-3-319-09985-5_4
Faiz, A., Nugraha Permana Putra, & Nugraha, F. (2022). Memahami Makna Tes, Pengukuran (Measurement), Penilaian (Assessment), Dan Evaluasi (Evaluation) Dalam Pendidikan. Jurnal Education and Development Institut Pendidikan Tapanuli Selatan, 10(3), 492–495.
Fakhiratunnisa, S. A., Pitaloka, A. A. P., & Ningrum, T. K. (2022). Konsep Dasar Anak Berkebutuhan Khusus. Masaliq, 2(1), 26–42. https://doi.org/10.58578/masaliq.v2i1.83
Farraswati, D. I., & Siswanto, H. (2015). Pola Asuh Keluarga Pada Penyandang Tunagrahita di Desa Karangpatihan Kecamatan Balong Kabupaten Ponorogo. Jurnal Pendidikan Luar Sekolah Universitas Negeri Surabaya, 4(1), 1–7. https://jurnalmahasiswa.unesa.ac.id/index.php/jurnal-pendidikan-luar-sekolah/article/view/13241/12156
Fatimah, L. A. N. I. (2022). POLA ASUH ORANG TUA DALAM MENDUKUNG BINA DIRI ANAKTUNA GRAHITA DI SLB PGRI GENTENG KECAMATAN GENTENGKABUPATEN BANYUWANGI.
Flavell, J. H. (1979). Metacognition and cognitive monitoring: A new area of cognitive–developmental inquiry. American Psychologist, 34(10), 906–911. https://doi.org/10.1037/0003-066X.34.10.906
Gentry, R., Lee, J., & Park, J. (2022). Technology-mediated learning for students with intellectual disabilities: Engagement, adaptation, and scaffolding. Journal of Special Education Technology, 37(2), 95–108. https://doi.org/10.1177/01626434211037516
Gong, C., & Ribiere, V. (2021). Developing a unified definition of digital transformation. Technovation, 102(December 2020), 102217. https://doi.org/10.1016/j.technovation.2020.102217
Hanifah, D. S., Haer, A. B., Widuri, S., & Santoso, M. B. (2022). Tantangan Anak Berkebutuhan Khusus (Abk) Dalam Menjalani Pendidikan Inklusi Di Tingkat Sekolah Dasar. Jurnal Penelitian Dan Pengabdian Kepada Masyarakat (JPPM), 2(3), 473. https://doi.org/10.24198/jppm.v2i3.37833
Hidayat, R., Safarudin, R., Nurdin, S., & Kosim, M. (2023). Tanggung Jawab Pendidikan ( Islam ) terhadap ABK dan Implikasinya terhadap Fakultas Tarbiyah (Keguruan). Educational Journal of Islamic Management, 3(1), 1–12. https://doi.org/10.47709/ejim.v3i1.1952
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.
Jannah, A. M., Setiyowati, A., Lathif, K. H., Devi, N. D., & Akhmad, F. (2021). Model Layanan Pendidikan Inklusif di Indonesia. Anwarul, 1(1), 121–136. https://doi.org/10.58578/anwarul.v1i1.51
Kemendikbudristek. (2023). Peta jalan transformasi digital pendidikan 2024–2030. Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi Republik Indonesia.
Mumpuniarti. (2019). SEJARAH LEMBAGA PENDIDIKAN KHUSUS TUNAGRAHITA DI JAWA. Kinabalu, 11(2), 50–57.
Nianggolan, A. M. & D. A. (2021). Teori Perkembangan Jean Piaget. Journal of Psychology Humanlight, 2(1), 31–47.
Nurmalasari, Y., & Erdiantoro, R. (2020). Perencanaan Dan Keputusan Karier: Konsep Krusial Dalam Layanan BK Karier. Quanta, 4(1), 44–51. https://doi.org/10.22460/q.v1i1p1-10.497
Piaget, J. (1972). The psychology of the child. Basic Books.
Pressman, R. S. (2020). Software engineering: A practitioner’s approach (9th ed.). McGraw-Hill Education
Purnama, Y., Herman, F. A., Hartono, J., Neilsen, Suryani, D., & Sanjaya, G. (2021). Educational Software as Assistive Technologies for Children with Autism Spectrum Disorder. Procedia Computer Science, 179(2019), 6–16. https://doi.org/10.1016/j.procs.2020.12.002
Rahmandhani, M. A., Rivadah, M., Al-Husna, Y. S., Alamanda, C., & Ridho, M. R. (2021). Karakteristik dan Model Bimbingan Pendidikan Islam Bagi ABK Tunagrahita. Masaliq, 1(3), 176–190. https://doi.org/10.58578/masaliq.v1i3.61
Rahmawati, S. W., & Jagakarsa, U. T. (2018). Penanganan Anak Tuna Grahita (Mental Retardation) dalam Program Pendidikan Khusus. Jurnal Psiko Utama, May, 5–27.
Rahimi, M., Hashim, H., & Yusof, N. (2020). Three-tier architecture model for adaptive learning systems: A conceptual framework. International Journal of Advanced Computer Science and Applications, 11(6), 45–52. https://doi.org/10.14569/IJACSA.2020.0110607
Ramadana, A. (2020). Semangat Belajar Siswa Disabilitas Kota Malang dalam Situasi Pandemik. https://www.idntimes.com/news/indonesia/alfi-ramadana-1/semangat-belajar-siswa-disabilitas-kota-malang-dalam-situasi-pandemik
Redecker, C., & Johannessen, Ø. (2013). Changing assessment—Towards a new assessment paradigm using ICT. European Journal of Education, 48(1), 79–96. https://doi.org/10.1111/ejed.12018
Ritter, T., & Pedersen, C. L. (2020). Digitization capability and the digitalization of business models in business-to-business firms: Past, present, and future. Industrial Marketing Management, 86(February 2019), 180–190. https://doi.org/10.1016/j.indmarman.2019.11.019
Siemens, G. (2013). Learning analytics: The emergence of a discipline. American Behavioral Scientist, 57(10), 1380–1400. https://doi.org/10.1177/0002764213498851
Simanjuntak, K., & Siregar, R. S. (2022). Perkembangan Kognitif Peserta Didik dan Implementasi dalam Kegiatan Pembelajaran. Jurnal Riyadhah: Jurnal Pendidikan Islam, 1(1), 111–124.
Sternberg, R. J., & Grigorenko, E. L. (2002). Dynamic testing: The nature and measurement of learning potential. Cambridge University Press.
Tuasikal, J. (2023). DEFINISI DAN JENIS KEBUTUHAN KHUSUS. https://dosen.ung.ac.id/JumadiTuasikal/home/2023/6/15/definisi-dan-jenis-kebutuhan-khusus.html
Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Rizqi Fajar Pradipta, Dimas Arif Dewantoro, Wiwik Dwi Hastuti

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




