Current Issue: Volume 1, Issue 1 (2026) Inaugural Edition
Integrating Generative AI and Adaptive Learning Frameworks in STEM Teacher Professional Development
This investigation evaluates the empirical outcomes of deploying an adaptive generative AI mentoring platform across primary and secondary school science departments. Findings demonstrate measurable gains in pedagogical content knowledge (PCK) and prompt design competency, with significant reductions in curriculum planning friction.
Evaluation of Nano-Composite Solar Absorber Layers for High-Efficiency Thermodynamic Water Filtration in Tropical Climates
We synthesize a multi-walled carbon nanotube / titanium dioxide (MWCNT/TiO2) photo-thermal absorber layer for gravity-fed solar desalination units. Spectroscopic analysis revealed 94.2% solar-to-vapor thermal conversion efficiency under standard AM 1.5G irradiation.
Inquiry-Based Learning and Virtual Laboratory Simulations: A Longitudinal Study of Secondary School Chemistry Competency
A two-year comparative cohort design (N=1,420) measuring conceptual retention in chemical equilibrium using interactive virtual laboratories. Results indicate statistically significant reductions in alternative misconceptions (p < 0.001).
Comparative Analysis of Machine Learning Classifiers for Remote Sensing Land-Use Classification in Equatorial Watershed Ecosystems
Assessing Random Forest, XGBoost, and Sentinel-2 multispectral transformer networks for tropical forest canopy degradation mapping. Ensemble classifiers attained 96.4% overall classification accuracy across complex cloud-covered terrain.
Diagnostic Formative Probes and Peer Instruction Cycles in Undergraduate Electromagnetism Lecture Halls
Implementing concept questions with wireless response polling across introductory physics courses. Normalized conceptual learning gains on the Force Concept Inventory (FCI) rose from <g> = 0.23 to <g> = 0.58.
Spectroscopic Characterization of Bioactive Secondary Metabolites from Endophytic Fungi in Sulawesi Mangrove Forests
Isolation and structural elucidation of polyketide derivatives from marine-derived Aspergillus isolates exhibiting antimicrobial properties against multi-drug resistant bacterial strains.
Machine Learning Applications in Soil Quality Assessment: Predictive Modeling of Heavy Metal Bioaccumulation
Utilizing ensemble gradient boosting (XGBoost) and random forest classifiers on multi-spectral satellite imagery and ground soil samples to forecast cadmium and lead bioaccumulation indices in agricultural river basins.
Comparative Analysis of Problem-Based Learning versus Virtual Reality Laboratories in Undergraduate Molecular Biology
A longitudinal evaluation across three academic cohorts evaluating spatial comprehension and laboratory troubleshooting skills. Students utilizing immersive VR simulations demonstrated higher procedural retention rates.
Computational Modeling of Thermoelectric Nanomaterials for Waste Heat Energy Harvesting in Tropical Microgrids
Investigating bismuth telluride heterostructures via density functional theory (DFT) to optimize Seebeck coefficients. Computational outcomes demonstrate an 18% improvement in figure of merit (ZT) under simulated equatorial operating ambient.