A DIGITAL ADAPTIVE TEXTBOOK FOR SECONDARY BIOLOGY EDUCATION: DEVELOPMENT AND TESTING
Received: 12th March 2026, Revised: 22th April 2026, Accepted: 05th May 2026, Date of Publication: 12th June 2026
DOI:
https://doi.org/10.20319/pijtel.2026.101.2029Keywords:
Adaptive Learning, Digital Textbook, Personalized EducationAbstract
The digital transformation of educational materials has led to the development of adaptive textbooks that personalize learning according to individual student needs. This paper presents the development and pilot testing of an adaptive digital biology textbook (TSAU) for middle school students in Russia, based on the printed textbook by V. Pasechnik. The research aimed to transform traditional content into an adaptive digital format and evaluate its effectiveness in improving student academic performance. The digital textbook comprises 110 multimedia modules, each containing a video clip and six assessment tasks of varying difficulty levels. The adaptive platform processes student responses, provides immediate feedback, and creates individualized learning paths based on student progress. The study concludes that the adaptive digital textbook significantly enhances biology instruction quality by promoting comprehensive material coverage, providing differentiated assignments, and increasing student engagement. The findings suggest that adaptive learning technologies can effectively support personalized education and improve academic outcomes in secondary school settings.
References
Ain, Q. U., Chatti, M. A., Bakar, K. G. C., Joarder, S., & Alatrash, R. (2023). Automatic Construction of Educational Knowledge Graphs: A Word Embedding-Based Approach. Information, 14(10), 526.
Barria-Pineda J., Narayanan A.B., Brusilovsky P Augmenting digital textbooks with reusable smart learning content: Solutions and challenges // Proceedings of the Fourth International Workshop on Intelligent Textbooks 2022, volume 3192 of CEUR Workshop Proceedings, CEUR-WS.org, 2022. P. 77–91.
Brusilovsky, P., Sosnovsky, S., & Thaker, K. (2022). The return of intelligent textbooks. AI Magazine, 43(3), 337-340.
Chaudhri, V. K., Cheng, B., Overtholtzer, A., Roschelle, J., Spaulding, A., Clark, P., & Gunning, D. (2013). Inquire biology: A textbook that answers questions. AI Magazine, 34(3), 55-72.
Chau, H., Labutov, I., Thaker, K., He, D., & Brusilovsky, P. (2021). Automatic concept extraction for domain and student modeling in adaptive textbooks. International Journal of Artificial Intelligence in Education, 31, 820-846.
Despotović-Zrakić, M., Marković, A., Bogdanović, Z., Barać, D., & Krčo, S. (2012). Providing adaptivity in Moodle LMS courses. Journal of Educational Technology & Society, 15(1), 326-338.
Ghergulescu, I., Flynn, C., & Sullivan, C. O. Learning effectiveness of adaptive learning in real world context // EdMedia: World Conference on Educational Media and Technology. 2016. P. 1385–1390.
Holt, P., Dubs, S., Jones, M., & Greer, J. (1994). The state of Student Modelling. Student Modelling: The Key to Individualized Knowledge-Based Instruction.
Howard, L., Remenyi, Z., Pap, G. Adaptive blended learning environments // International Conference on Engineering Education. 2006. P. 23-28.
Mitrovic A., Martin B., Suraweera P. Intelligent tutors for all: constraint-based modeling methodology, systems and authoring // IEEE Intell. Syst. 2007. Vol. 22(4). P. 38–45
Muñoz, J. L. R., Ojeda, F. M., Jurado, D. L. A., Peña, P. F. P., Carranza, C. P. M., Berríos, H. Q., ... & Vasquez-Pauca, M. J. (2022). Systematic review of adaptive learning technology for learning in higher education. Eurasian Journal of Educational Research, 98(98), 221-233.
Oussous, A., Menyani, I., Srifi, M., Lahcen, A. A., Kheraz, S., & Benjelloun, F. Z. (2023). An Evaluation of Open Source Adaptive Learning Solutions. Information, 14(2), 57.
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