Jul 2026· The Compass· pp. 381-394· 0 citations· 89 references
Computer Science
TL;DR
Findings drawn from 21 semi-structured interviews with undergraduate students from diverse backgrounds in Bangladesh reveal usage as companionship, intimate partnership, worldbuilding, reminiscence of dead family members, and prioritization of AI over human relationships.
Abstract
The rapid evolution of artificial intelligence and large language models have created a new dynamic of student engagement beyond academic contexts. While prior research focused on AI’s role in providing academic and emotional support, less is known about the motivations to personalize AI, its diverse usage, and the intricate relationship between AI and the student population, especially in the context of the Global South. Our study fills this gap with findings drawn from 21 semi-structured interviews with undergraduate students from diverse backgrounds in Bangladesh, revealing usage as companionship, intimate partnership, worldbuilding, reminiscence of dead family members, and prioritization of AI over human relationships. These findings shed light accounting the local cultural norms on shaping AI adoption in Bangladesh, highlighting both opportunities and risks, and provide essential insights to inform necessary guidelines. We further connect our findings to the broader issues in Human-AI interaction and offer future research directions.
The findings informed the development of the Integrated Attachment–Motivation–Pedagogy (AMP) model with direct implications for designing AI in culturally sensitive pedagogical practices.
Saiful Islam Polash, Shariful Islam, Faimul Hoq· SAP Social AI· 0 citations
The rapid integration of Artificial Intelligence (AI) into modern newsrooms presents both structural challenges and transformative possibilities for media education. Grounded in the Technology Acceptance Model (TAM), this study which was conducted at the beginning of 2025, explores early reactions towards using of AI, empirically investigates how Georgian journalism students perceive, evaluate, and adopt AI tools within their academic and professional workflows. Based on a stratified sample of N=318 students across major Georgian universities (78.5% completion rate), inferential statistics ( -tests and path analysis) were conducted to test hypotheses regarding gender, degree level, and prior technical training. The findings demonstrate high overall technology acceptance, driven primarily by prior AI training ( ) and graduate-level studies ( ). Gender differences yielded no statistically significant variation in perceived ease of use. These results revial a crucial gap between student enthusiasm and institutional preparation, offering an empirical foundation for modernizing journalism curricula in transitional media environments.
Dali Osepashvili· Studies in Media and Communi...· 0 citations
This study explores the formation of quasi-reciprocal parasocial relationship in AI Chatbots mediated intimacy, focusing on how young groups interact with AI and how to view this emotional connection. In the era of rapid development of digital technology and media, AI Chatbots provide fast response with a sense of intimacy, enabling users to experience a sense of reciprocity and emotional value. However, this intimacy experience has not been described in the traditional parasocial relationship. Therefore, this study uses qualitative research methods, including questionnaire method and semi-structured interviews with 12 young participants aged 18 to 25. Finally, according to the interview text, the theme analysis is carried out to explore the participants’ perception of the authenticity and responsiveness of intimacy in AI Chatbots interaction. The study found that although most participants realized that AI Chatbots did not have human emotions at the cognitive level and only relied on Algorithms and databases to answer, they often still experienced a real sense of mutual intimacy. This study extends the traditional parasocial relationship theory by introducing the concept of “quasi-reciprocal interaction”, showing the complex ecology between algorithmic intimacy and emotional experience.
While ChatGPT was primarily viewed as an efficient tool in a work context, the quantitative survey reveals a weakly significant correlation between psychological stress and openness toward the social-emotional use of chatbots.
Stefanie Osetrow, H. Klapperich, Dr. Alina Huldtgren· Proceedings of Mensch und Co...· 0 citations
It is argued that AI self-efficacy, characterized as a student’s confidence in their capacity to employ AI ethically and efficiently, constitutes a substantial determinant and the focus of instruction should transition from a “one-size-fits-all” approach to tailored interventions designed to enhance student empowerment.
H. Herianto, Eko Wahyudi, Andi Jusmiana et al.· Knowledge Management & E...· 0 citations
This study examines the role of social media in the adaptation and acculturation experiences of African graduate students in the United States. While research on international students has focused on academic, cultural, and social challenges, limited attention has been given to how digital platforms shape everyday adjustment, particularly among African students. Drawing on social support theory, acculturation theory, and transnational perspectives, this study explores how social media functions within students’ lived experiences of migration. Using a qualitative design, in-depth interviews were conducted with 16 African graduate students from countries such as Ghana, Nigeria, Kenya, Cameroon, and Sierra Leone at a public U.S. university. Thematic analysis revealed that social media supports family connections, emotional coping, information seeking, and network building. The findings suggest that social media enables ongoing transnational engagement, allowing students to remain connected to home while adapting to new environments, highlighting its central role in contemporary adaptation processes.
Diane Ezeh Aruah, Obianuju Aliche· Journal of International Stu...· 0 citations
