Understanding Educational Inequalities in Rural Tanzania: A Qualitative Study of Infrastructural, Socioeconomic, and Geographical Challenges

Understanding Educational Inequalities in Rural Tanzania: A Qualitative Study of Infrastructural, Socioeconomic, and Geographical Challenges 
email:  juhudikcosmas@gmail.com

A B S T R A C T

Many rural schools in Tanzania still struggle with socioeconomic and infrastructure issues that lower educational standards. In this study, we examined the interrelated causes of educational inequalities in rural schools. We employed a qualitative research approach and a multiple-case study design. We collected data using semi-structured interviews and observations. We analysed data using a thematic approach to identify key challenges influencing educational inequalities in Tanzania’s rural schools. We found that some rural schools struggled with overcrowded or poorly maintained classrooms, leaking roofs, damaged floors, and insufficient desks and sanitation facilities. Many students also came from low-income households, which limited their ability to obtain basic educational materials such as textbooks, exercise books, uniforms, and transport. Geographical barriers, such as long distances between homes and schools and scattered settlements, further hindered regular attendance. Therefore, schools in rural areas operated with inadequate school physical infrastructure, limited family socioeconomic conditions, and limited geographic accessibility. These factors contributed much to the educational inequalities in rural schools. It remained important to address these challenges for equitable access to quality education and to reduce educational inequalities in rural Tanzania. Therefore, it is recommended that education authorities should improve school infrastructure by promoting secure and comfortable learning environments, strengthen support for disadvantaged students by strengthening programmes that aid vulnerable households, strengthen community and parental involvement, enhance school accessibility by reducing travel distance from home to school and home, and strengthen transportation systems by investing in school infrastructure, including roads and transportation networks, as well as in the strategic placement of school.

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AI in education: Unlocking college student engagement in the digital learning era

AI in education: Unlocking college student engagement in the digital learning era
Corresponding email: fbusjrg@ku.ac.th

A B S T R A C T

This study investigated the relationships between independent variables Instructor Knowledge, Instructor Support, Ease of Access, Availability of AI Resources, Perceived Value, and Institutional Response and their impact on college student engagement in AI-driven educational contexts. Using a quantitative design, the study gathered data from 572 college students at universities in the Philippines through a structured Likert scale questionnaire on their perceptions and experiences of AI in education. Analysis through multiple regression revealed that Instructor Knowledge did not significantly influence engagement, suggesting that mere expertise may not suffice without strong interpersonal relationships. In contrast, strong Instructor Support positively correlated with student engagement, emphasizing the critical role that encouragement and guidance play in fostering student involvement. Although Ease of Access to AI tools approached significance, the availability of resources negatively correlated with engagement, indicating that an abundance of choices may overwhelm students and lead to disengagement. The Perceived Value of student feedback is positively related to engagement, underscoring the importance of institutions acknowledging and acting on student input to enhance their educational experiences. Furthermore, timely Institutional Response significantly promoted engagement by fostering transparent communication between students and institutions. These results imply that to enhance student engagement effectively, educational institutions should focus on strengthening instructor support, simplifying access to AI tools, curating resources thoughtfully, and actively responding to student feedback. This study offers important insights into AI-enhanced education, highlighting factors that can boost engagement, inform teaching practices, and influence future learning environments. By addressing these elements, institutions can create a more interactive and supportive educational experience for students in a digital learning landscape.

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