ResearchPod Summary
This qualitative phenomenological study investigates the motivational profiles of 19 undergraduate students enrolled in virtual and distance learning programs at a Colombian university (UNIMINUTO). Drawing on the Theory of Self-Determination (SDT), the authors explore how students perceive their English learning process within virtual environments—specifically looking at how personal and contextual factors influence their commitment to the subject.
The researchers utilized semi-structured individual interviews to gather data, which were analyzed using NVivo 11 software. The study examined students' motivations through the lens of SDT, which distinguishes between different types of regulation, ranging from purely external contingencies to fully internalized, autonomous goals. The analysis categorized findings into personal factors (such as the meaning assigned to learning) and contextual factors (such as the influence of the curriculum and tutor interactions).
The results demonstrate that students' motivation to learn English is deeply tied to external reinforcements. Rather than being driven by a passion for the language itself, students view English as a functional requirement for graduation or future job prospects. While the flexibility of the virtual platform is appreciated, students often struggle to maintain consistent study routines and reported feeling isolated or unsure of their progress. The study highlights a clear reliance on the tutor’s role; effective support and timely feedback were identified as critical factors that help bridge the gap between initial external motivation and consistent engagement with the material.
Understanding these motivational profiles is crucial for institutions that rely on e-learning. The findings suggest that simply providing digital tools is insufficient to drive learning. Instead, designers of virtual language programs must explicitly account for the role of external regulation and ensure that curricula incorporate interactive, personally relevant activities to prevent student burnout and sustain momentum in remote settings.
Alex: Valuing English does not necessarily mean making time to learn it. In interviews with online undergraduates, students described real benefits, but their motivation remained largely tied to requirements and external opportunities.
Sam: That distinction matters for course design. Are we talking about students’ explanations for studying, or evidence that particular teaching methods changed their motivation?
Alex: Their explanations. This is a qualitative interview study by Fredy Geovanni Escobar Fandiño and colleagues, published in Heliyon in 2019. It examines undergraduates at UNIMINUTO in Colombia, studying English through its virtual and distance provision.
Sam: So it speaks to researchers and teachers trying to turn access to online courses into sustained participation. Let’s unpack what the interviews reveal, how the authors interpret motivation, and how far those conclusions travel.
Alex: The starting problem is a mismatch between expectations and learning. Colombia’s education ministry treats English communication as a core competence. Yet the paper describes unsatisfactory results on national professional competency tests, despite English being incorporated into most undergraduate programs.
Sam: Motivation research was already extensive. What was missing that made another study useful?
Alex: The authors distinguish the large literature on motivation from the thinner literature on motivation for learning English online. Their contribution is a close look at students’ experiences in this particular setting. It is not a new theory or a test of a new teaching intervention.
Sam: Online learning also puts more responsibility on the student. A course can be available without becoming part of someone’s routine.
Alex: That responsibility is central to the paper. The authors wanted to understand why students learn English and what motivates them. Their practical aim was to help the institution adapt its curriculum to students’ motivational profiles.
Sam: How did they get beyond a general statement like “English is good for my career”?
Alex: They interviewed 19 volunteers taking the university’s English courses. The interviews were semi-structured, so they followed set topics while allowing students to explain their experiences. They asked about English’s meaning, the online environment, and learning strategies.
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Sam: And what kind of qualitative study was it? That affects whether we should expect a broad survey or a detailed account.
Alex: A phenomenological study, meaning it focuses on people’s accounts of their lived experiences. The interviews were conducted in Spanish, mostly online, with a smaller group face-to-face. Researchers interviewed students outside the English level they themselves were teaching, to reduce tutor-related response bias.
Sam: They still needed a way to interpret those accounts. What supplied the framework?
Alex: Self-Determination Theory, a framework that distinguishes motivation by how personally accepted or externally controlled it is. The researchers transcribed the interviews and coded them using categories drawn from existing literature. Software helped organize the material, but the interpretation came from that theoretical framework.
Sam: People often reduce motivation to intrinsic versus extrinsic. Does this paper treat wanting a better job as the same thing as obeying a compulsory course requirement?
Alex: No. Extrinsic motivation means doing an activity for an outcome beyond the activity itself. But the theory distinguishes degrees of personal acceptance within it. Studying because the faculty requires English differs from studying because you personally value access to professional reading.
Sam: So an external benefit can become a reason someone genuinely endorses. It is not automatically a sign of unwillingness.
Alex: Yes. The paper calls accepting an activity’s importance “identified regulation.” It also discusses more fully integrated reasons that fit someone’s needs. Those remain distinct from intrinsic motivation: doing the activity for its own enjoyment.
Sam: Give me an example where that distinction actually changes the reading of an interview.
Alex: Some students said English could expand their professional profile because relevant books were in English. The authors interpreted that as accepting the activity’s importance. Other students said they studied mainly because English was compulsory in their degree, which the authors classified as externally controlled motivation.
Sam: Those are different reasons to enroll. What did students say about actually doing the work?
Alex: Here the accounts become less encouraging. One grouped excerpt describes students completing workshops because they were on the platform, without feeling skilled or understanding how to proceed. Other accounts describe study fitted around work and overdue responsibilities, rather than a stable routine.
Sam: That gets at the opening tension. Students can imagine a better future through English while treating the current course as another deadline.
Alex: That is consistent with the interviews. Students mentioned communication, travel, cultural understanding, employment, and family prospects. But the authors’ overall interpretation was that all participants showed characteristics of extrinsic motivation, even though some appeared more autonomous than others.
Sam: “All participants” is a strong summary. Was motivation measured independently, or is that the researchers’ reading of what students said?
Alex: It is their reading of the interviews. There was no separate experimental comparison, and the study did not test whether those motivational categories predicted English proficiency. I would treat the conclusion as a theory-guided account of this sample, not a measured prevalence across online students.
Sam: Let’s turn to the environment. Did students mainly describe the platform as an obstacle?
Alex: No. Most valued its flexibility and the sense of control it offered. Students described reviewing errors and correcting them with less pressure at a distance. Many also found activities involving video, audio, and drawings dynamic and entertaining.
Sam: The paper discusses Computer Assisted Language Learning: using computer-based tools and activities to learn a language. Did these interviews support the idea that technology alone creates independence?
Alex: They did not establish that. Students could appreciate flexible tools while still relying on course demands to structure their effort. Some found exercises boring or extensive, and some reported isolation. The same environment was not experienced uniformly.
Sam: What about the tutor? If students feel isolated, the human support may matter as much as the platform.
Alex: Most described supportive contact through emails, clear feedback, video conferences, and an accessible tutor. Yet some wanted face-to-face teaching, partly for immediate correction and real conversation. The authors place tutor support among the contextual factors shaping motivation.
Sam: Were students who wanted more contact using the support already available?
Alex: The paper reports that none attended virtual or face-to-face tutoring during the academic period studied. Students cited work, lack of time, or the fact that attendance was not mandatory. That makes the gap between wanting support and using it especially important.
Sam: It also cautions against reading nonattendance as simply not caring. Their accounts include competing responsibilities, not just dissatisfaction with teaching.
Alex: The authors make that distinction. They note that some influences sit beyond the teacher’s or institution’s reach, including other responsibilities and socioeconomic stability. Their recommendations include broadening activities and investigating how students can feel better accompanied online.
Sam: How much confidence should a researcher place in those recommendations? The interviews sound useful, but the sample is narrow.
Alex: I would trust them as issues worth investigating in this setting. The sample comprised 16 women and three men, all volunteers at the same institution. There was no comparison with face-to-face learners or another university, so this cannot establish that online learning causes these patterns.
Sam: And the existing framework helps organize the accounts, while also shaping what the researchers recognize as motivation.
Alex: That is a fair methodological caution. The codebook came from prior literature, and the paper presents selected excerpts supporting its interpretations. The strongest evidence concerns reported experiences. Claims about improved learning or the benefits of particular teaching changes would require further testing.
Sam: Who should read the full document, and where should they begin?
Alex: Researchers studying online language motivation, and educators designing distance English courses. Start with “Personal factors” and “Online environment characterization,” where student accounts meet the authors’ interpretations. Then read the interview and analysis methods to judge that interpretive step.
Sam: And what should everyone else carry away?
Alex: Valuing English and sustaining English study are different problems. In this sample, students saw the benefits, but requirements, available support, and competing responsibilities still shaped how they participated.
Sam: Thanks for listening.