Sonam Lhamo
Gaeddu College of Business Studies

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MOTIVATIONAL STRATEGIES FOR ENHANCING STUDENT LEARNING OUTCOMES IN HIGHER EDUCATION Nadiah Ismail; Khalid Mahmud; Sonam Lhamo; Tri Budi Rahayu
Research Psychologie, Orientation et Conseil Vol. 3 No. 3 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/rpoc.v3i3.3939

Abstract

Motivational strategies play a crucial role in enhancing student learning outcomes in higher education. As students face increasing academic challenges, effective motivational techniques can foster engagement, persistence, and academic success. However, there is a need for research that identifies and evaluates which motivational strategies are most effective in diverse educational contexts. This study aims to examine the role of various motivational strategies in improving student learning outcomes in higher education. The research seeks to identify strategies that foster intrinsic motivation, enhance student engagement, and ultimately contribute to academic achievement. A mixed-methods approach was used, combining quantitative surveys and qualitative interviews with students and faculty from a range of disciplines. The survey assessed the impact of various motivational strategies, including goal setting, feedback, and active learning techniques, on student performance. Interviews provided deeper insights into how students and instructors perceive and implement these strategies. The findings indicate that goal setting, constructive feedback, and active learning strategies significantly enhance student engagement and performance. Students who reported receiving personalized feedback and setting clear academic goals exhibited higher levels of motivation and academic success. Motivational strategies are essential for improving student learning outcomes in higher education.    
The Ethical Underpinnings of AI Regulation: A Jurisprudential Inquiry into Algorithmic Fairness and Transparency Nurul Huda; Shamsul Anwar; Sonam Lhamo; Unggul Sagena
Rechtsnormen: Journal of Law Vol. 3 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/rjl.v3i6.3015

Abstract

Background. Concerns regarding algorithmic bias and opacity have prompted regulatory responses that invoke ethical principles, particularly fairness and transparency, yet their jurisprudential foundations remain insufficiently explored. Purpose. This study aims to examine the ethical underpinnings of AI regulation through a jurisprudential inquiry into algorithmic fairness and transparency, focusing on how legal philosophy informs the normative structure of contemporary AI governance. Method. The research employs qualitative normative legal methodology grounded in jurisprudential analysis. Primary materials include AI regulatory frameworks, ethical guidelines, and judicial reasoning. Results. The findings show that AI regulation predominantly operationalizes fairness and transparency as procedural legal duties rather than substantive moral ideals. Ethical principles are translated into enforceable standards such as explainability, accountability, and non-discrimination, reflecting institutional and jurisprudential constraints. Conclusion. The study concludes that AI regulation represents a juridification of ethics shaped by enduring jurisprudential traditions. The novelty of this research lies in its integration of AI regulatory analysis with legal philosophy.