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All Journal Journal Emerging Technologies in Education Research of Scientia Naturalis
Koch, Sebastian
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Agriculture, Biological Sciences & Forestry Chemistry Computer Science & IT Education Physics Other

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Adaptive Learning Strategies Using Technology in German Schools Fischer, Claudia; Koch, Sebastian; Richter, Laura
Journal Emerging Technologies in Education Vol. 3 No. 2 (2025)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jete.v3i2.2141

Abstract

Background. The increasing integration of technology in education has transformed teaching and learning practices across the globe. In Germany, adaptive learning strategies have gained traction as personalized approaches to meet diverse student needs. However, the effectiveness of these strategies, particularly when combined with technological tools, remains an area of active research.Purpose. This study aims to explore the implementation of adaptive learning strategies using technology in German schools. The research focuses on understanding how these strategies impact student engagement, performance, and individualized learning outcomes.Method. A mixed-methods approach was employed, combining quantitative data from student performance assessments and qualitative insights from teacher interviews. A total of 200 students across five German schools participated in the study, using adaptive learning platforms designed to personalize educational content. Teachers were interviewed to assess their experiences with these tools and strategies.Result. The findings suggest that adaptive learning strategies enhanced student engagement and performance, with significant improvements in individualized learning outcomes. Students who interacted with technology-driven adaptive platforms showed increased motivation and better retention of subject matter compared to those in traditional learning environments. Teachers reported positive experiences, noting that the strategies allowed for more tailored support for students.Conclude. The integration of adaptive learning strategies using technology has shown positive effects on student learning outcomes in German schools. These findings suggest that further adoption and refinement of such strategies can play a key role in fostering personalized education.
Synthesis and Characterization of a Graphene Oxide-Chitosan Nanocomposite for the Adsorption of Heavy Metals From Industrial Wastewater Minho, Kim; Jun, Wang; Koch, Sebastian
Research of Scientia Naturalis Vol. 2 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v2i6.2923

Abstract

The contamination of industrial wastewater with heavy metals such as lead (Pb), cadmium (Cd), and chromium (Cr) poses a significant environmental threat, requiring effective removal methods. Traditional water treatment techniques often suffer from inefficiency and environmental harm. This study aims to synthesize and characterize a graphene oxide-chitosan nanocomposite for the efficient adsorption of heavy metals from industrial wastewater. Graphene oxide (GO) was combined with chitosan to form the nanocomposite, which was characterized by scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), and Brunauer-Emmett-Teller (BET) surface area analysis. The adsorption capacity was evaluated through batch experiments using simulated industrial wastewater, and the effects of pH, contact time, and metal concentration on adsorption were examined. The results showed that the nanocomposite demonstrated excellent adsorption efficiency, with the highest removal rate observed for Pb, followed by Cd and Cr. The adsorption capacity was significantly influenced by pH, with optimal performance at pH 5. The nanocomposite exhibited high metal removal efficiency and stability, indicating its potential as an eco-friendly solution for wastewater treatment. This study highlights the potential of graphene oxide-chitosan nanocomposites as effective adsorbents for heavy metal removal, offering a sustainable alternative to traditional treatment methods.
Co-Authors Fischer, Claudia Minho, Kim Richter, Laura Wang Jun