How Ethiopian Students Learn and What Drives Them: New Study Links Styles and Motivation to Achievement

A new study from southern Ethiopia offers a detailed statistical portrait of how secondary school students learn, what motivates them, and how those two forces combine to shape the academic outcomes they perceive for themselves. Researchers at Jimma University surveyed 382 students in the Basketo zone administration, 206 boys and 176 girls selected through systematic random sampling, and then subjected the resulting data to a structural equation model, a statistical framework that allows scientists to test whether an entire hypothesized network of relationships fits the observed data. Their conclusion, published in the journal Discover Psychology, is that both learning styles and motivation stand in a significant association with students’ perceived academic achievement, and that these individual differences deserve far more attention in classrooms than they typically receive.

The research team, composed of Abebe Selko Atilbabo, Aschalew Terefe Refu, and Fisseha Mikre Weldmeskel, set out to address a persistent problem in Ethiopian secondary education: many students continue to perform poorly despite the introduction of various innovative teaching approaches over recent years. Curriculum reforms, new pedagogies, and teacher training programs have all been deployed, yet achievement levels in many secondary schools remain a significant concern for educators and policymakers alike. The authors argue that one reason these interventions may fall short is that they often overlook two fundamental sources of student diversity: the sensory and cognitive preferences through which students prefer to take in information, and the motivational patterns that energize and sustain their effort.

To measure learning preferences, the researchers turned to one of the most widely used frameworks in educational psychology, the VARK model proposed by Neil Fleming. VARK sorts learners into categories based on their preferred sensory channel: Visual learners, who favor diagrams, charts, and spatial representations; Aural learners, who learn best through listening and discussion; Read/Write learners, who prefer text-based input and output; and Kinesthetic learners, who thrive on hands-on experience, movement, and practice. Students in the Basketo zone sample completed instruments assessing where they fell within this taxonomy, providing the researchers with a structured picture of how differently the same classroom material can be received by different students sitting side by side.

Motivation was assessed alongside learning style because, as the authors note, it is widely recognized as a key factor associated with academic outcomes. Educational psychologists typically distinguish between intrinsic motivation, in which students engage with learning for its own sake out of curiosity or interest, and extrinsic motivation, in which engagement is driven by external rewards, grades, parental expectations, or the avoidance of negative consequences. The study treated motivation as an independent contributor to perceived achievement, allowing the structural model to estimate its effect separately from, and in combination with, learning style preferences. Perceived academic achievement itself was captured through a self-reported questionnaire, reflecting the students’ own assessments of how well they were doing in school.

The choice of structural equation modeling is what gives the study its analytical ambition. Unlike simple correlation analysis, which can only report the strength of pairwise associations, SEM tests whether a theoretically specified system of latent and observed variables, connected by hypothesized directional pathways, reproduces the patterns actually found in the data. In this case, the hypothesized model positioned learning styles and motivation as exogenous factors linked to perceived academic achievement, and the analysis confirmed that the model fit the observed responses. The authors describe this as confirming the hypothesized model, informing both theory and the practice of classroom instruction and teacher-student activities with respect to the three variables.

The findings carry particular weight because of where the data were collected. Much of the international literature on learning styles and motivation comes from high-income, Western educational systems, and there has long been limited knowledge about how these variables operate together in low-resource settings such as rural Ethiopia. The Basketo zone, an administrative area in the South Ethiopia Regional State, provides a context where classroom resources are constrained, class sizes can be large, and instruction often follows a one-size-fits-all format. Demonstrating that learning style and motivation are significantly associated with perceived achievement in this setting suggests that these individual differences are not artifacts of wealthy school systems but are relevant wherever students learn.

The study also speaks to a long-running scientific debate about the validity and usefulness of learning style theories. Critics have argued that there is little rigorous evidence for the so-called meshing hypothesis, the idea that matching instruction to a student’s preferred style improves learning outcomes. The Ethiopian researchers are careful in their framing: they do not claim that matching teaching to style directly causes higher achievement. Rather, their structural model shows that learning styles and motivation are crucial student differences significantly associated with perceived achievement, a claim about systematic relationships between individual characteristics and self-assessed outcomes. That distinction matters, and it positions the study as a contribution to understanding student diversity rather than as an endorsement of any particular matching strategy.

For teachers, the practical implications outlined by the authors center on diagnosis and responsiveness. If students in a single classroom differ systematically in whether they prefer visual, aural, read/write, or kinesthetic modes of engagement, and if those preferences are statistically tied to how students judge their own achievement, then teachers who remain unaware of this diversity may be leaving part of their students’ potential untapped. The authors call on educational psychology researchers and school teachers to give emphasis to determining ways to address the learning needs of students in line with their preferred learning styles and motivation patterns. In practice, this could mean multimodal lesson design, varied assessment formats, and deliberate efforts to cultivate intrinsic motivation alongside the extrinsic incentives that dominate many school systems.

The research was funded by Jimma University as support for a master’s thesis in the field of educational psychology, and it was conducted under the ethical guidelines of the university’s institutional Research Review committee in accordance with the 1964 Helsinki Declaration and its later amendments. All participants were above the age of sixteen and gave informed consent, and all responses were anonymous. Published as open access, the study adds a statistically grounded, structurally modeled data point to the global conversation about why some students flourish while others struggle, and it makes the case that the answer lies not only in what is taught, but in who is doing the learning and why they have come to the classroom at all.

Subject of Research: The associations of learning styles and motivation with perceived academic achievement among Ethiopian secondary school students

Article Title: The associations of learning styles, motivation, and perceived academic achievement among Basketo zone secondary school students in Ethiopia

Article References: The associations of learning styles, motivation, and perceived academic achievement among Basketo zone secondary school students in Ethiopia. (n.d.). https://doi.org/10.1007/s44202-026-00889-z

Image Credits: AI Generated

DOI: 10.1007/s44202-026-00889-z

Keywords: learning styles, VARK, motivation, academic achievement, structural equation model, educational psychology, Ethiopia, secondary school students, intrinsic motivation, extrinsic motivation, student diversity, classroom instruction