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This Author published in this journals
All Journal Journal of Biomedical and Techno Nanomaterials Journal Neosantara Hybrid Learning
Assel Zhanibek
Karaganda State Technical University
Biochemistry, Genetics & Molecular Biology

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A NEUROEDUCATION-INFORMED DESIGN FOR A HYBRID LEARNING MODULE TO OPTIMIZE COGNITIVE LOAD AND MEMORY RETENTION Lucy Lidiawati Santioso; Samat Yessentayev; Assel Zhanibek; Ayan Nurgaliyev
Journal Neosantara Hybrid Learning Vol. 3 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jnhl.v3i3.2679

Abstract

The growing complexity of hybrid learning environments demands instructional models that align with the cognitive architecture of the human brain. Excessive cognitive load and fragmented attention have become significant barriers to effective learning in digital and blended modalities. Neuroeducation—the interdisciplinary integration of neuroscience, psychology, and pedagogy—offers empirical insights for designing learning experiences that optimize working memory, enhance attention, and improve long-term retention. This study aims to develop and evaluate a neuroeducation-informed hybrid learning module that systematically manages cognitive load and facilitates memory consolidation among university students. A quasi-experimental design was employed with two groups: an experimental class using the neuroeducation-informed module and a control class using a conventional hybrid model. Participants included 80 undergraduate students enrolled in an educational psychology course. Data were collected through cognitive load scales, memory recall tests, and observational field notes, complemented by EEG-based attention tracking in a subsample. Quantitative data were analyzed using ANOVA, while qualitative data underwent thematic coding to identify engagement and retention patterns. The results indicated that the experimental group experienced significantly lower extraneous cognitive load (p < 0.01) and achieved higher delayed recall scores (M = 82.4) than the control group (M = 68.7). Students also reported improved focus, motivation, and conceptual understanding. The study concludes that integrating neuroeducation principles—such as chunking, spaced repetition, multimodal encoding, and emotional relevance—can substantially enhance hybrid learning effectiveness. The proposed framework bridges cognitive science and instructional design, contributing to sustainable innovation in higher education pedagogy.
SMART NANOMEDICINE SYSTEMS FOR PRECISION DRUG RELEASE AND REDUCED TOXICITY Assel Zhanibek; Samat Yessentayev; Muntasir Muntasir
Journal of Biomedical and Techno Nanomaterials Vol. 3 No. 4 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jbtn.v3i4.3980

Abstract

The development of smart nanomedicine systems has revolutionized the field of drug delivery, offering improved precision in targeting diseased tissues and minimizing the side effects of treatments. Traditional drug delivery methods often suffer from non-specific targeting and high systemic toxicity, limiting their therapeutic potential. Smart nanomedicine systems, designed to respond to specific stimuli such as pH, temperature, or enzymes, allow for controlled and targeted drug release, thus enhancing therapeutic efficacy while reducing off-target effects. This research investigates the design, characterization, and application of smart nanomedicine systems for precision drug release and reduced toxicity. The primary objective of this study is to evaluate the efficiency of these systems in delivering drugs to specific sites, such as tumors, while minimizing damage to healthy tissues. In vitro and in vivo models are used to assess the release profiles, bio-distribution, and toxicity of the nanomedicine systems. The results show that smart nanomedicine systems significantly enhance drug accumulation at target sites and reduce systemic toxicity compared to conventional delivery methods. In conclusion, the use of smart nanomedicine systems offers a promising approach for precision medicine, improving therapeutic outcomes and reducing adverse effects associated with traditional drug delivery.
Co-Authors Ayan Nurgaliyev Lucy Lidiawati Santioso Muntasir, Muntasir Samat Yessentayev