Garuda - Garba Rujukan Digital

Virtual Classroom in the Hand: Adapting an E-Learning Platform for English Language Learners Latifah, Nur; Joshi, Nikhil; Kusumaning Tyas, Novita; Fitriani, Nining; Oktaviana, Ariana
International Journal of Language and Ubiquitous Learning Vol. 2 No. 4 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijlul.v2i4.1767

Background. The development of digital technology has changed the paradigm of foreign language education, but existing e-learning platforms are still not fully able to accommodate the diversity of individual needs of students. Purpose. This study aims to develop and test the effectiveness of adaptive e-learning platforms that are able to dynamically adjust learning content based on students' characteristics, learning styles, and English language skills. Method. The results showed a significant increase in English language competence in the experimental group with an average score increase of 23.2 points. Statistical analysis revealed a positive correlation between content personalization and learning motivation (p<0.01). Adaptive platforms have been proven to be effective in lowering language anxiety and increasing students' confidence. Results. The conclusion of the study confirms the transformative potential of adaptive technology in foreign language education. A platform that integrates artificial intelligence, psychological approaches, and innovative pedagogical is able to create a personalized and meaningful learning experience. Conclusion. The study concludes that mobile-compatible e-learning platforms can effectively support ELLs, providing an engaging and accessible learning environment that enhances language proficiency. Further research is recommended to explore long-term retention rates and the impact of additional personalized features.

AI and Social Equity: Challenges and Opportunities in the Age of Automation Judijanto, Loso; Mudinillah, Adam; Rahman, Rashid; Joshi, Nikhil
Journal of Social Science Utilizing Technology Vol. 3 No. 1 (2025)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v3i1.2117

The rapid advancement of Artificial Intelligence (AI) and automation technologies has transformed various aspects of modern life, from labor markets to public services. While AI offers potential for innovation and efficiency, it also raises significant concerns regarding social equity, especially for marginalized and underrepresented communities. These concerns highlight the need for a critical examination of how AI systems may reinforce or mitigate existing societal disparities. This study aims to explore the challenges and opportunities that AI poses to social equity in the age of automation. The research focuses on identifying potential biases in AI-driven decision-making processes and assessing the impact of automation on employment, education, and access to services. Using a mixed-methods approach, the study combines qualitative interviews with stakeholders from policy, tech industry, and affected communities, alongside quantitative analysis of labor and demographic data. This methodological design allows for a comprehensive understanding of both structural and experiential dimensions of AI’s impact. The findings reveal that while AI has the potential to improve service delivery and expand access to information, its deployment often reflects and amplifies existing inequalities when ethical and inclusive frameworks are absent. Particularly in automated hiring systems and predictive policing, biases embedded in algorithms disproportionately affect vulnerable groups. The study concludes that addressing AI's social equity implications requires intentional design, inclusive policy, and sustained public engagement. As automation continues to reshape society, equity must become a central consideration in AI development and governance.

AI and Social Equity: Challenges and Opportunities in the Age of Automation Judijanto, Loso; Mudinillah, Adam; Rahman, Rashid; Joshi, Nikhil
Journal of Social Science Utilizing Technology Vol. 3 No. 1 (2025)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v3i1.2117

The rapid advancement of Artificial Intelligence (AI) and automation technologies has transformed various aspects of modern life, from labor markets to public services. While AI offers potential for innovation and efficiency, it also raises significant concerns regarding social equity, especially for marginalized and underrepresented communities. These concerns highlight the need for a critical examination of how AI systems may reinforce or mitigate existing societal disparities. This study aims to explore the challenges and opportunities that AI poses to social equity in the age of automation. The research focuses on identifying potential biases in AI-driven decision-making processes and assessing the impact of automation on employment, education, and access to services. Using a mixed-methods approach, the study combines qualitative interviews with stakeholders from policy, tech industry, and affected communities, alongside quantitative analysis of labor and demographic data. This methodological design allows for a comprehensive understanding of both structural and experiential dimensions of AI’s impact. The findings reveal that while AI has the potential to improve service delivery and expand access to information, its deployment often reflects and amplifies existing inequalities when ethical and inclusive frameworks are absent. Particularly in automated hiring systems and predictive policing, biases embedded in algorithms disproportionately affect vulnerable groups. The study concludes that addressing AI's social equity implications requires intentional design, inclusive policy, and sustained public engagement. As automation continues to reshape society, equity must become a central consideration in AI development and governance.

The use of ChatGPT in Teacher Training to Improve Pedagogical Competencies Rao, Ananya; Gupta, Meera; Joshi, Nikhil
Al-Hijr: Journal of Adulearn World Vol. 3 No. 4 (2024)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/alhijr.v3i4.852

The integration of Artificial Intelligence (AI) tools like ChatGPT in education has the potential to transform teacher training by enhancing pedagogical competencies. Teacher training programs face challenges in preparing educators with the necessary skills to engage students, design effective lessons, and adapt to diverse learning environments. AI tools, particularly language models like ChatGPT, offer opportunities to simulate real-world teaching scenarios, provide personalized feedback, and support teachers in their professional development. This study aims to explore the use of ChatGPT in teacher training programs to improve pedagogical competencies, focusing on areas such as lesson planning, student engagement, and instructional strategies. A mixed-methods approach was used, combining quantitative assessments of pedagogical competencies with qualitative feedback from teacher trainees. The study involved 150 teacher trainees who utilized ChatGPT for interactive simulations, lesson design assistance, and reflective practice over a 10-week period. The results indicate that the use of ChatGPT significantly improved the trainees’ lesson planning skills, ability to engage students, and adapt teaching strategies to diverse learners. Trainees also reported increased confidence in applying pedagogical knowledge in real classroom settings. This study concludes that ChatGPT can be an effective tool in teacher training, helping to enhance pedagogical competencies and provide personalized support for educators’ professional growth.

The Role of Electronic Evidence in the Civil Case Evidence Process Joshi, Nikhil; Kumar, Rohan; Patel, Priya
Rechtsnormen: Journal of Law Vol. 3 No. 1 (2025)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/rjl.v3i1.2090

Background: The increasing reliance on digital technology has significantly impacted legal proceedings, especially in civil cases, where electronic evidence plays an increasingly central role. With the proliferation of digital communications, social media, and electronic transactions, the types of evidence available have expanded, leading to new challenges for legal professionals in managing and evaluating such evidence. Electronic evidence is now considered a crucial aspect of civil litigation, yet questions remain regarding its admissibility, reliability, and role in the broader evidence process. Objective: This study aims to explore the role of electronic evidence in the civil case evidence process, focusing on its impact on case outcomes, the challenges associated with its handling, and its integration into traditional legal frameworks. Method: A qualitative research design was employed, utilizing case studies, legal documents, and expert interviews. The data was analyzed to examine the practical applications of electronic evidence in civil cases and the associated legal and procedural challenges. Results: The findings reveal that while electronic evidence is essential in modern civil litigation, it often faces challenges in terms of authentication, privacy concerns, and its acceptance in court. The study also found that the increasing complexity of digital evidence requires enhanced legal procedures for handling and presenting such evidence effectively. Conclusion: Electronic evidence plays a pivotal role in civil litigation, but its integration into the evidence process requires further legal refinement to address emerging challenges effectively.

The Legal Framework of Shariah Banking in Indonesia: Implications for Financial Regulation and Market Development Narud, Ahmad; Chan, Rachel; Joshi, Nikhil
Sharia Oikonomia Law Journal Vol. 3 No. 1 (2025)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/solj.v3i1.2082

The rapid growth of Shariah banking in Indonesia has prompted significant regulatory developments to align financial practices with Islamic principles. However, the legal framework governing Shariah banking remains complex, raising questions about its effectiveness in fostering financial regulation and market development. This study examines the legal structure of Shariah banking in Indonesia, focusing on its implications for financial regulation and its role in promoting sustainable market growth. The research aims to identify gaps in the current legal framework and propose recommendations for enhancing regulatory coherence and market competitiveness. Using a qualitative approach, this study analyzes legal documents, regulatory policies, and secondary data from authoritative sources, complemented by interviews with key stakeholders in the Shariah banking sector. The findings reveal that while Indonesia has established a comprehensive legal framework for Shariah banking, challenges such as regulatory fragmentation, limited enforcement mechanisms, and insufficient integration with global Shariah standards persist. These issues hinder the sector's potential to contribute fully to financial inclusion and economic development. The study concludes that strengthening the legal framework through harmonized regulations, enhanced enforcement, and greater alignment with international Shariah standards is crucial for the sustainable growth of Shariah banking in Indonesia. This research contributes to the discourse on Islamic finance by providing insights into the interplay between legal frameworks, financial regulation, and market development in emerging economies.

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