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Adapting Blended Learning Models in Post-Pandemic Education Systems Lucas Lima; Pedro Silva; Omar Khan
International Journal of Educational Narratives Vol. 3 No. 2 (2025)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijen.v3i2.2151

Abstract

Background. The COVID-19 pandemic has significantly disrupted traditional education systems, forcing a rapid transition to online learning. This transition has highlighted the need for flexible and adaptive teaching methods, making blended learning models increasingly relevant. Blended learning, which combines face-to-face and online education, has emerged as a potential solution for post-pandemic education systems. Purpose. This study aims to explore how blended learning models can be adapted and implemented in post-pandemic education systems to enhance student engagement, accessibility, and learning outcomes. A mixed-methods approach was used, combining surveys and interviews with educators and students across various educational institutions. Method. The data were analyzed to assess the effectiveness, challenges, and perceptions of blended learning in post-pandemic contexts. Results. The results indicate that while blended learning models are perceived positively, challenges such as technological limitations, teacher training, and student motivation remain significant. However, schools and universities that successfully integrated blended learning models reported improvements in flexibility, student satisfaction, and academic performance. Conclusion. The study concludes that blended learning has the potential to transform education systems by offering a more personalized, accessible, and adaptable learning experience. For successful implementation, ongoing professional development for educators and investment in technology infrastructure are crucial.  
THE POTENTIAL OF BAMBOO AS A SUSTAINABLE FOREST PRODUCT Tiago Costa; Lucas Lima; Pedro Silva
Journal of Selvicoltura Asean Vol. 2 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsa.v2i1.2031

Abstract

Bamboo is increasingly recognized as a sustainable forest product due to its rapid growth, versatility, and potential for contributing to environmental conservation. As global concerns about deforestation, climate change, and resource depletion grow, bamboo presents an alternative material that is both eco-friendly and economically viable. However, there is still limited research on its full potential, particularly in terms of its environmental benefits and commercial applications. This study aims to explore the potential of bamboo as a sustainable forest product by evaluating its environmental benefits, economic feasibility, and various commercial uses. The research also examines how bamboo cultivation can contribute to sustainable forest management and biodiversity conservation. A mixed-methods approach was used, combining a literature review, field surveys, and interviews with bamboo industry experts. Data were collected from bamboo cultivation sites, assessing growth rates, carbon sequestration potential, and local economic impacts. Qualitative interviews provided insights into the challenges and opportunities within the bamboo industry. The study found that bamboo grows rapidly, sequesters significant amounts of carbon, and provides an income-generating opportunity for rural communities. Bamboo-based products, such as construction materials and textiles, are gaining popularity due to their eco-friendly nature. However, challenges remain in terms of market development and supply chain infrastructure. Bamboo has substantial potential as a sustainable forest product that can play a key role in environmental conservation and economic development. Future research should focus on scaling up bamboo cultivation and improving market access to maximize its benefits.  
ASSISTED NATURAL REGENERATION AS A CLIMATE-RESILIENT STRATEGY FOR RESTORING DEGRADED PEATLAND FORESTS IN CENTRAL KALIMANTAN Dani Lukman Hakim; Lucas Lima; Clara Mendes
Journal of Selvicoltura Asean Vol. 2 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsa.v2i5.2538

Abstract

Tropical peatland forests in Central Kalimantan, critical global carbon stores, are severely degraded and now act as major greenhouse gas sources due to drainage and fires. This study aimed to evaluate the ecological effectiveness and climate resilience of Assisted Natural Regeneration (ANR) for restoring the hydrological functions and biodiversity of these degraded ecosystems. A field experiment was established across 100 hectares, where the ANR method involved canal blocking to rewet the peat and selective planting of native pioneer species, monitored against control plots over five years. The results showed significant and rapid recovery. Canal blocking successfully raised the water table by an average of 40 cm, drastically reducing fire risk. Furthermore, native tree species richness in ANR plots was over 200% higher than controls, with canopy closure reaching 60%. ANR is highly effective, cost-efficient, and climate-resilient, providing a scalable model that prioritizes rewetting and facilitates natural successional pathways to restore critical ecosystem functions and secure long-term carbon storage.
Ritual and Religion: The Role of Cultural Practices in Identity Formation Nilam Cahya Munandar; Lucas Lima; Tiago Costa
Journal of Humanities Research Sustainability Vol. 1 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jhrs.v1i4.1797

Abstract

Background. This research explores the role of rituals and religion in shaping individual and group identities in various social settings. The background of this research is based on the role of rituals in connecting individuals with their communities and cultural heritage, which gives a deep meaning to collective identity. Purpose. This quantitative study aimed to investigate the preferences of Thai as a foreign language (TFL) learner for ten commonly discussed types of OCF. Specifically, it examined whether these preferences are influenced by four learner variables: proficiency level, first language (L1), foreign language classroom anxiety (FLCA), and foreign language enjoyment (FLE). Method. The study involved 288 university students from Chinese, Japanese, and Korean TFL settings, and the data from questionnaires were analysed using appropriate statistical methods. Results. The findings indicate that, regardless of proficiency level, L1, FLCA, or FLE level, learners prefer more explicit OCF techniques, such as metalinguistics feedback and explicit correction. However, Korean undergraduates scored lower in the majority of OCF strategies (i.e., ignoring, elicitation, recast, explanation, and public feedback) compared to the other participants. Conclusion. This study has significant implications for instructional practices in TFL settings and for L2 lecturers in the classroom. By understanding learners’ preferences for OCF, educators can tailor their instructional approaches to meet the specific needs of their students.
A Mini-Review of Digital Technologies (IoT, AI) for Enhancing Sustainability Monitoring in Indonesian Agriculture and Forestry Eny Fahrati; Thiago Rocha; Lucas Lima
Journal of Multidisciplinary Sustainability Asean Vol. 2 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijmsa.v2i5.2777

Abstract

Background. The integration of digital technologies such as the Internet of Things (IoT) and Artificial Intelligence (AI) into agriculture and forestry holds great potential for enhancing sustainability monitoring, especially in Indonesia, where these sectors are crucial to the economy and environment. Purpose. The challenges of climate change, deforestation, and inefficient resource use have led to the need for advanced technologies to better manage natural resources and monitor sustainability in these sectors. This mini-review aims to assess the role of IoT and AI in improving sustainability monitoring in Indonesian agriculture and forestry, exploring the benefits, challenges, and future prospects. Method. A comprehensive review of existing literature, case studies, and reports was conducted to gather data on the applications of IoT and AI in agriculture and forestry in Indonesia. The research examines the current technologies being implemented, their impact on resource efficiency, and the potential for scalability and integration into existing systems. Results. The findings indicate that IoT-based sensors and AI-driven analytics have significantly improved data collection and decision-making processes, enabling better management of water, soil, and forest resources. However, challenges such as infrastructure limitations, data privacy concerns, and the need for skilled labor remain. Conclusion. In conclusion, digital technologies such as IoT and AI offer promising solutions for enhancing sustainability monitoring in Indonesia’s agriculture and forestry sectors. While progress is being made, there is a need for further investment in infrastructure, capacity building, and policy development to maximize the impact of these technologies.