What the COVID Classroom Experiment Taught Us About Who E-Learning Actually Works For
Research co-authored by an Effat University researcher finds that online education creates as many barriers as it removes — and that fixing it requires understanding why students and teachers are failing for entirely different reasons.
The pandemic did not invent e-learning. It simply made it mandatory for everyone, all at once, with almost no preparation time. What that forced experiment revealed — in classrooms and lecture halls across the world — is that online education works well for some people and poorly for others, and that the gap between those two experiences has less to do with the technology itself than with the conditions surrounding it.
A study co-authored by a researcher at Effat University in Jeddah examines that gap in detail. Conducted during the COVID-19 lockdown period at the Instituto Politécnico Nacional — the second-largest university in Mexico — the research surveyed students and professors about their experience of compulsory online education, asking 29 questions across a five-point scale. What it found complicates the simple narrative that e-learning either works or it doesn't. It works differently, for different people, for different reasons, and improving it requires taking that complexity seriously.
The Stereotype That the Data Doesn't Support
There is a widely held assumption that younger generations are naturally comfortable with technology — that digital natives slide into e-learning environments with an ease that older professors struggle to match. The study's findings do not support that picture.
The primary source of student dissatisfaction with e-learning was not a poor internet connection or an unintuitive platform. It was a feeling of deficient computer skills. For students who lacked confidence in the specific technologies their courses were now built around, that deficiency did not stay in the background. It shaped the entire learning experience — generating anxiety, reducing engagement, and producing the kind of boredom that is not really boredom at all but a response to feeling lost and unable to catch up.
The lesson here is that general comfort with technology — knowing how to use a smartphone, navigate social media, or stream video — does not automatically translate into confidence with e-learning platforms. Those are specific tools with specific demands, and for a significant portion of students, the pandemic made that gap visible for the first time.
What Actually Determines Teacher Satisfaction
For professors, the experience looked different. Teacher satisfaction with e-learning was not primarily shaped by their own technical confidence. It was shaped by the institutional environment around them — specifically, by how much support their university put into making e-learning work.
What that support looks like in practice is concrete: clear instructions and defined expectations for online teaching, a coherent long-term institutional strategy rather than ad hoc decisions made week by week, and access to specialised software where general-purpose tools fall short. Professors at institutions that had invested in these things reported meaningfully higher satisfaction than those who were left to figure it out on their own.
This means that improving the teacher experience of e-learning is not primarily a matter of individual professional development. It is a matter of institutional commitment — and institutions that have not made that commitment are asking their faculty to teach well in conditions that are not designed to support good teaching.
The Numbers Behind the Experience
Several specific findings from the survey give shape to what these broader patterns look like in practice. Zoom was the dominant platform by an overwhelming margin, used by 95% of respondents — reflecting both its accessibility and the absence of meaningful institutional guidance toward alternatives. About a quarter of all respondents reported being unhappy with the e-learning tools available to them. Teachers reported higher overall satisfaction than students. And a low sense of community was identified as one of the most significant drivers of student dissatisfaction — with the social fabric of the in-person classroom absent, many students found virtual learning isolating in ways that affected their engagement and motivation.
The study did not frame e-learning as a failed experiment. More than half of respondents agreed that integrating technology into education can be genuinely beneficial, particularly when active learning strategies are part of the design from the start rather than added later. But the research is clear that online education distributes its benefits unevenly. For some students and teachers it opens doors. For others it closes them — and those people are experiencing that on a daily basis.
The Changes That Would Make a Difference
The study's recommendations are directed at the institutions and policymakers who shape the conditions under which e-learning happens, rather than at individual students and teachers who are already doing their best within those conditions.
Reducing the digital skills gap between students has to come first. When unequal familiarity with e-learning platforms produces unequal learning outcomes, the response needs to be structural — investment in digital skills development, improvements to internet accessibility, and ICT infrastructure capable of supporting genuine educational equity. Marginal and underserved groups, who are most likely to be on the wrong side of that gap, need to be specifically considered rather than assumed to be covered by general provisions.
University policy on e-learning also needs to be rethought. Better digital resources, a long-term strategic approach to online education, and hybrid learning models that extend coverage to students who cannot always rely on stable technology access are all identified as priorities that institutions should be building toward now rather than treating as aspirational.
Two areas for future research are also identified. The first is whether better-designed digital collaborative spaces could address the community deficit that students consistently report — the sense that something socially important is missing from virtual classrooms that no amount of platform improvement has yet resolved. The second is contingency planning: what happens to e-learning when the technology it depends on becomes unreliable or inaccessible during a crisis. The pandemic was a demonstration that this is not a theoretical problem. Building offline recovery systems and educational continuity strategies before they are urgently needed is exactly the kind of unglamorous but necessary work that this research is pointing toward.
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