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The Role of Personality Test Results as a Tool for Student Self-Understanding and Its Implications in Counseling Zubaidah, Zubaidah; Nuramita, Nuramita; Nurfadila, Nurfadila; Asmawati, Asmawati; Zulfikar, Zulfikar; Farah, Rina
Darussalam: Journal of Psychology and Educational Vol. 4 No. 1 (2025)
Publisher : Yayasan Minang Darussalam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70363/djpe.v4i1.253

Abstract

Self-understanding is one of the main keys for students to achieve academic success and personal development, especially during adolescence which is known as the phase of searching for identity. In the world of education, personality has an important role in shaping students' behavioral patterns, learning styles, and social interactions. One tool that can support students' self-understanding is a personality test. This article aims to discuss the role of personality test results as a means of students' self-understanding and its implications in guidance and counseling services at school.
Building Bridges Between Languages with Generative AI: A Study on Zero-Shot Machine Translation and its Implications for Global Communication Yazidus, Muhammad; Farah, Rina; Huda, Nurul
Journal International of Lingua and Technology Vol. 4 No. 1 (2025)
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/jiltech.v4i1.825

Abstract

The increasing need for cross-lingual communication in a globalized world has driven innovations in machine translation, with the aim of breaking down language barriers. Traditional machine translation models rely on large parallel corpora for training, but zero-shot machine translation (MT) offers a promising alternative by enabling translation between language pairs without requiring direct training data. This study explores the potential of generative AI in zero-shot MT, focusing on its ability to bridge languages with minimal linguistic resources. The research aims to evaluate the effectiveness of zero-shot MT using generative AI models in translating between languages that lack extensive parallel corpora. The study uses a comparative approach, assessing the performance of generative AI models against traditional MT systems on several language pairs, particularly focusing on low-resource languages. The results show that generative AI-based zero-shot models can produce high-quality translations across multiple languages, even those with limited or no parallel data. The findings suggest that zero-shot MT has the potential to revolutionize global communication by offering a scalable, efficient solution for languages with insufficient resources. This research concludes that generative AI's ability to perform zero-shot machine translation has significant implications for improving cross-cultural communication and expanding access to information, with important applications in education, business, and diplomacy.
Public Speaking Strategy for Muslim Lecturers to Attract Generation Z in Da’wah Rintaningrum, Ratna; Razak, Faisal; Farah, Rina
Journal International Dakwah and Communication Vol. 5 No. 1 (2025)
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/jidc.v5i1.899

Abstract

The rise of Generation Z as a distinct demographic group has posed new challenges and opportunities for public speaking, especially in the field of da’wah (Islamic preaching). As digital natives, Generation Z engages with content in ways that differ significantly from previous generations, making it essential for Muslim lecturers to adapt their public speaking strategies to connect effectively with this audience. This research explores the public speaking strategies used by Muslim lecturers to attract and engage Generation Z in da’wah. The study employs a qualitative research design, conducting interviews with Muslim lecturers who have successfully used digital platforms and innovative methods to deliver their messages to younger audiences. The findings reveal that interactive content, visual aids, relevant social media usage, and humor are among the most effective strategies for engaging Generation Z. Lecturers who incorporated personal stories and interactive sessions found higher levels of engagement and greater impact. The study concludes that for Muslim lecturers to effectively attract Generation Z, they must embrace modern communication tools while maintaining the integrity and relevance of Islamic teachings. Future research should explore the long-term impact of these strategies and how they affect the retention of Islamic values among Generation Z.