The study confronts a timely and emergent concern: the extent to which university students rely on generative AI platforms for academic tasks, and how this dependency is intertwined with their internal psychological landscape. With AI tools offering unprecedented access to information and assistance in academic work, students’ interaction with these systems is not merely functional but also deeply psychological, implicating factors such as self-worth and emotional wellbeing.

At the heart of the research lies self-esteem, a crucial personal attribute often defined as one’s overall evaluation of self-worth. The investigators propose that self-esteem may influence, directly or indirectly, the degree to which students engage with GAI technology. Individuals with lower self-esteem might be more prone to increased dependency, seeking validation or assistance that compensates for perceived academic inadequacies or anxieties.

The authors foreground academic anxiety as a pivotal mediating variable in this relationship. Academic anxiety encompasses the apprehensions and stressors specific to academic performance and environments, which can severely impact cognitive functioning and motivation. This anxiety might push students toward overreliance on AI tools as coping mechanisms, engendering a paradox where reliance intended to alleviate stress may trap them in a cycle of dependency.

Another essential mediator examined is perceived usefulness—students’ subjective evaluation of how beneficial they find AI tools for achieving academic goals. The perception of AI as an indispensable study aid could potentiate reliance, especially if students believe these tools can enhance productivity, understanding, or grades. Hence, perceived usefulness offers a motivational factor that shapes dependency behavior.

Employing a multiple mediation model, the researchers undertake a sophisticated analytical approach to disentangle the layered pathways linking self-esteem to GAI dependency. Their methodology allows for a detailed characterization of both direct and indirect effects, illuminating how academic anxiety and perceived usefulness intervene in this psychological interplay. Through this approach, the study advances a comprehensive understanding beyond simplistic cause-effect assumptions.

The results reveal that self-esteem negatively correlates with GAI dependency, indicating that students with higher self-esteem tend to exhibit a more balanced relationship with AI assistance. However, this association is significantly mediated by academic anxiety and perceived usefulness, such that lower self-esteem leads to heightened academic anxiety, which in turn increases perceived usefulness of AI tools, culminating in stronger dependency behaviors.

Intriguingly, the study suggests a dual mediating pathway: academic anxiety exacerbates the perceived indispensability of AI, suggesting that anxiety acts as an emotional driver behind the practical evaluation of AI usefulness. This nuanced finding demonstrates that psychological distress does not operate independently but colors the cognitive appraisal of technological aids, amplifying reliance.

From a theoretical standpoint, this research integrates concepts from self-determination theory and cognitive appraisal frameworks to thoughtfully interpret how students internalize and react to technological environments. The authors argue that interventions aimed at reducing academic anxiety or enhancing self-esteem could attenuate problematic AI reliance, fostering healthier engagement with digital tools.

In practical terms, the study underscores the importance for educators and policymakers to acknowledge the psychological dimensions shaping technology adoption in academic contexts. Rather than dismissing AI engagement as mere convenience or cheating, it advocates for a supportive approach recognizing underlying mental health factors and guiding constructive usage.

Furthermore, by mapping the mediating factors, this research contributes valuable insights for developers of AI educational platforms. Designing environments that are transparent, supportive, and calibrated to reduce academic stress could mitigate the formation of unhealthy dependency patterns and promote autonomous learning.

The research also raises critical ethical concerns regarding the fine line between beneficial AI assistance and overdependence that might undermine skill development or exacerbate anxiety. Understanding students’ psychological profiles in tandem with their technology use highlights the need for balanced integration that empowers rather than disables learners.

Looking ahead, the authors recommend longitudinal studies to track changes in self-esteem, anxiety, and AI use over time, enabling a dynamic understanding of how these relationships evolve during students’ academic careers. Such insights would be vital for tailoring interventions responsive to developmental trajectories.

Although the study provides compelling evidence from a substantial sample of university students, it also calls for cross-cultural investigations to ascertain the generalizability of these findings. Sociocultural factors may differentially influence self-esteem constructs, academic anxiety prevalence, and technology adoption patterns, presenting a fertile domain for future research.

In sum, the work by Chen et al. marks a significant advancement in mental health and technology addiction literature by unveiling the complex psychological mediators critical to understanding AI dependency in academic settings. Their integrative approach offers both theoretical contributions and practical applications essential for navigating the interface of human psychology and artificial intelligence.

As generative AI continues to embed itself into educational paradigms, comprehending the intricate mechanisms that govern student interaction with such technology is imperative. This research paves the way toward interventions and policies that responsibly harness AI’s potential while safeguarding mental health and promoting holistic academic growth.

Subject of Research: University students’ psychological factors affecting dependence on generative artificial intelligence in academic settings.

Article Title: University Students’ Self-Esteem and GAI Dependency: Multiple Mediating Roles of Academic Anxiety and Perceived Usefulness.

Article References:
Chen, Y., Chen, T., Yang, S. et al. University Students’ Self-Esteem and GAI Dependency: Multiple Mediating Roles of Academic Anxiety and Perceived Usefulness. Int J Ment Health Addiction (2025). https://doi.org/10.1007/s11469-025-01581-4

Image Credits: AI Generated

DOI: https://doi.org/10.1007/s11469-025-01581-4

The research delves into critical aspects of educational technology, investigating how AI tools can be adapted to enhance Islamic learning experiences. The Technology Acceptance Model serves as a foundational framework, probing into dimensions such as perceived ease of use, perceived usefulness, and the significant role these factors play in influencing students’ attitudes towards AI integration. By focusing on these elements, the study aims to create a comprehensive picture of how effectively AI can be embraced in the educational sector, particularly within religious contexts.

Moreover, the study recognizes the unique challenges and opportunities that Muslim students face when engaging with AI in their religious studies. Within a framework where tradition and modern technology converge, establishing an understanding of how these students perceive AI becomes pivotal. This research highlights that students are not merely passive recipients of knowledge. Instead, they actively engage with technology, shaping their learning experiences and influencing the broader educational landscape.

A noteworthy element of the study involves the investigation of the ethical considerations intertwined with the use of AI in Islamic education. Islamic principles often emphasize the moral implications surrounding new technologies. Therefore, it becomes crucial to evaluate how Muslim students reconcile their faith with the progressive nature of AI, ensuring that technological advancements do not detract from their religious values and beliefs. The study seeks to present a balanced perspective that highlights the potential for AI to coexist harmoniously with Islamic teachings.

Students’ acceptance of technology, especially in a religious context, is often fraught with skepticism. This skepticism stems from a fear of losing traditional values in the face of modern advancements. The research highlights how effective communication and education about the benefits of AI can mitigate these fears. By providing a clear understanding of how AI tools can aid in their studies—rather than replace traditional learning processes—students may grow more comfortable with integrating these technologies into their education.

As researchers delve deeper into the results of their surveys and interviews, it becomes clear that the intersection of AI and Islamic studies presents numerous possibilities. Tools that utilize AI can facilitate personalized learning experiences, allowing students to receive tailored feedback, identify areas of improvement, and engage more deeply with the material. For instance, AI-driven platforms can offer interactive lessons that resonate with students’ individual learning paces and styles. The potential for technology to enhance student engagement and motivation in religious studies cannot be overstated.

The study also identifies various socio-cultural factors that influence students’ attitudes towards AI in Islamic education. For example, the presence of supportive educators who are well-versed in technology can significantly enhance students’ acceptance. When educators themselves are enthusiastic about integrating AI into their teaching methods, students are more likely to perceive these technologies positively. Therefore, professional development programs targeting teachers in Islamic education could prove essential in driving acceptance and implementation.

The findings of the study indicate that successful integration of AI into Islamic religious education depends not only on students’ perceptions but also on institutional support and resources. Schools that are equipped with the necessary technological infrastructure and training opportunities for both students and teachers are foundational for creating an environment where AI can thrive. Thus, educational institutions have an essential role to play in facilitating the acceptance of technology like AI in their curricula.

Moreover, the research highlights the potential for AI to serve as a bridge between different generations within the Muslim community. As younger students become proficient in technology, they can act as conduits for sharing knowledge with older generations who may be less familiar with these advances. This creates an ecosystem of learning where AI aids not only in formal education but also in the broader religious community, promoting lifelong learning and engagement.

As more educational entities recognize the significance of AI in enriching the learning process, collaborative efforts between technology developers and religious educators will become increasingly important. Creating culturally responsive AI tools that align with Islamic values will require input from both fields. This collaboration has the potential to yield unprecedented innovations in how Islamic education is delivered, ensuring that it remains relevant and impactful in a rapidly changing world.

In conclusion, the insightful research conducted by Faizin, Alfan, and Basid reveals the complex dynamics of Muslim students’ acceptance of artificial intelligence in Islamic religious education. By leveraging the Technology Acceptance Model, the study uncovers the factors that promote or hinder this acceptance and highlights the immense potential for AI to revolutionize how Islamic studies are taught and learned. Through ethical integration of technology, educational institutions can foster environments where learning thrives, bridging the gap between tradition and modernity.

The journey toward fully embracing AI in Islamic religious education is undoubtedly a nuanced one, requiring careful consideration of students’ perceptions, cultural values, and ethical implications. However, as this research suggests, with the right support, education, and collaboration, AI can enhance the educational experiences of Muslim students, opening pathways for deeper engagement with their faith and the world around them. The future of Islamic education, enriched by technological advancements, beckons—a future where faith and innovation march hand in hand.

Subject of Research: Acceptance of Artificial Intelligence in Islamic Religious Education

Article Title: Muslim students’ acceptance of artificial intelligence in Islamic religious education: an extended TAM approach

Article References: Faizin, N., Alfan, M., Basid, A. et al. Muslim students’ acceptance of artificial intelligence in Islamic religious education: an extended TAM approach. Discov Educ 4, 304 (2025). https://doi.org/10.1007/s44217-025-00767-1

Image Credits: AI Generated

DOI: 10.1007/s44217-025-00767-1

Keywords: AI, Islamic Education, Technology Acceptance Model, Student Engagement, Education Technology