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Education and Economic Growth in Morocco: what’s new through Vector AutoRegressif (VAR) approach? Fikri, Yahya; Rhalma, Mohamed; Rifqi, Husni Muhamad
Global Review of Tourism and Social Sciences Vol. 2 No. 1 (2025): Global Review of Tourism and Social Sciences
Publisher : Yayasan Ghalih Pelopor Pendidikan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/grtss.v2i1.435

Abstract

The purpose of this article is to investigate This study examines the connection between Morocco's economic growth (EG) and education from 1990 to 2023 using a Vector AutoRegressif (VAR) approach. The primary inquiry is whether education and economic growth (EG) are related in the short and long term. The World Bank provided the data, which includes significant attributes like economic growth (EG) and education. The goal of this research is to increase understanding of Morocco's development factors by illuminating the relationship between economic growth and education. It also aims to improve the conversation about the effectiveness of fiscal policy considering socioeconomic shifts. As a result, we can formulate the following issue: What connection exists, in the Moroccan context, between economic growth and education? In conclusion, each nation, like Morocco, may offer unique and inspiring solutions to the problems of the modern world, which call for a careful but daring approach. Morocco is a prime example of how to strike a balance between tradition and progress while actively engaging in the most important debates of our time, balancing cultural heritage and innovation, local concerns and global perspectives.
Collaborative Governance and Employee Engagement in Cross Sector Organizations: Evidence from East Java Malau, Grace Carolina; Wang, Tz-Li; Fikri, Yahya
Global Review of Tourism and Social Sciences Vol. 2 No. 2 (2026): Global Review of Tourism and Social Sciences
Publisher : Yayasan Ghalih Pelopor Pendidikan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/grtss.v2i2.488

Abstract

This study investigates how collaborative governance quality influences employee engagement and perceived collaborative performance through collaborative leadership, role clarity across organizations, and inter-organizational trust. The study adopts a quantitative, cross-sectional survey design. Data were collected from 332 government employees involved in inter-organizational collaboration across provincial and district-level government organizations in East Java between March and May 2025. The proposed research model was tested using Partial Least Squares Structural Equation Modeling to examine direct and mediating relationships among the constructs. The findings show that collaborative governance quality has a strong positive effect on collaborative leadership and significant indirect effects on role clarity and inter-organizational trust. Collaborative leadership significantly enhances both role clarity and trust, which in turn positively influence employee engagement. Employee engagement emerges as the most proximate and powerful predictor of perceived collaborative performance. Mediation analysis indicates that governance quality affects engagement and performance primarily through leadership, role clarity, and trust rather than through direct effects. This study extends collaborative governance theory by integrating leadership and human resource management perspectives, offering a micro-level explanation of how governance arrangements shape employee engagement and performance.
Artificial Intelligence in Islamic Religious Education: A PRISMA-Based Review and the SEI-CHAT Framework Arif, Muhamad; Aziz, Mohd Kasturi Nor Abd; Hassan, Hazman; Fikri, Yahya; Zekkari, Mohamed; Rismawati, Bela Vita
Online Learning In Educational Research (OLER) Vol. 6 No. 1 (2026): Online Learning in Educational Research
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/oler.v6i1.993

Abstract

Although Artificial Intelligence (AI) has been rapidly integrated into contemporary education, little scholarly attention has been paid to its implications on the epistemological, theological, and cultural foundations of Islamic Religious Education (IRE). This study aims to systematically analyze the implementation patterns, effects, and challenges of AI on IRE learning in the digital age. This study was conducted through a Systematic Literature Review (SLR) method by using Publish or Perish software to retrieve relevant articles from Scopus, Web of Science, Semantic Scholar, and Google Scholar databases on 01 August 2025, using the Boolean search query: ("Islamic Education" OR "Islamic Religious Education") AND ("Artificial Intelligence" OR "AI") AND ("Learning" OR "Digital Learning"). This study found that, overall, AI was used to facilitate personalized learning, feedback, and adaptive digital learning platforms, promoting students’ engagement in IRE learning. However, its potential effectiveness was dependent on pedagogical considerations, teachers’ digital literacy, and institutions’ readiness. This study identified challenges related to its implementation, including ethical considerations, tensions between algorithmic knowledge and religious authority, and technological disparities. This study introduces a new theoretical framework, namely, the Sixth-Element Islamic Cultural-Historical Activity Theory (SEI-CHAT) with a normative-epistemological element, focusing on the relationship between Naqli-Aqli knowledge