What the Most Successful Online Learners Do Differently
Online education has matured enough that researchers can identify the specific behaviors that distinguish students who thrive from students who struggle. The findings are concrete and learnable.
Online education in the United States has reached a scale where consistent patterns of student success and failure can be identified. By 2026, more than 7 million US students take at least one online course per year, and the variation in outcomes is large enough to support detailed behavioral research. A 2025 multi-institution study published in Online Learning examined the behaviors that distinguish students who succeed in online courses from students who struggle. The findings are specific enough to inform student behavior directly.
The study tracked 7,200 students across 14 universities, using a combination of learning management system data, surveys, and academic outcomes. The findings identify several behaviors that predict online success consistently across courses and disciplines.
Consistent Engagement
The single strongest predictor of online course success was consistent engagement throughout the week. Students who logged into the course platform 4 or more days per week produced significantly stronger outcomes than students who logged in 2 or fewer days per week, even when total time on the platform was similar.
The pattern reflects something about how online learning consolidates. Distributed engagement allows material to settle between sessions. Concentrated engagement produces high-volume activity that has less time to consolidate. Students who treated online courses as something to engage with daily, even briefly, produced better outcomes than students who batched their work into fewer, longer sessions.
Active Note-Taking
Students who took substantive notes while viewing recorded content produced better outcomes than students who watched passively. The pattern was clear in tracking data: students who used the platform’s annotation features or who tabbed to a note-taking application while watching showed substantially higher subsequent engagement and exam performance than students who watched without note-taking.
The format of notes mattered less than the act of taking them. Students who annotated, transcribed, summarized, or simply jotted down questions all benefited. Students who watched recorded content without any note-taking activity produced consistently weaker outcomes.
Question Asking
Students who asked questions in online discussion forums or through instructor email produced better outcomes than students who consumed content without questioning. The effect was independent of question quality; even questions that were eventually answered through simple clarification appeared to support learning by forcing the student to articulate confusion.
The pattern argues for setting low thresholds for question asking. Students who waited until they had “good” questions often did not ask at all. Students who asked promptly when they encountered confusion learned more, even when many of their questions could have been answered through further reading.
Peer Engagement
Online courses with peer engagement components (study groups, peer review, collaborative projects) produced better outcomes when students engaged with peers. The effect was substantial enough that the study identified peer engagement as among the strongest behavioral predictors of online success.
The form of peer engagement varied. Some students formed video study groups outside the course platform. Others contributed actively to discussion forums. Others arranged paired study sessions through course messaging. The format mattered less than the simple fact of engaging with other students on the course material.
Schedule Discipline
Successful online learners maintained explicit schedules for online work. The schedules varied (some students worked early mornings, others late evenings) but the discipline of scheduled time was consistent. Students who completed online work in scheduled blocks produced stronger outcomes than students who tried to fit online work around other obligations as time permitted.
The schedule discipline appeared to address a specific failure mode in online learning. Without external constraints (a class meeting time, an in-person obligation), online work tends to get displaced by more immediate demands. Students who created internal constraints by scheduling online work explicitly preserved the time it required.
Phone Management
One of the most striking findings was the relationship between phone use during online learning sessions and outcomes. Students who kept phones away during online study (in a different room, in a drawer, or in a phone-blocking application) produced substantially stronger outcomes than students who studied with phones accessible.
The effect was larger than students themselves estimated. In post-study surveys, students often reported that phones did not significantly affect their study quality. Tracking data showed otherwise; the same students were checking phones frequently during study sessions and producing weaker outcomes than peers with stricter phone management.
Active Review
Successful online learners reviewed material actively rather than passively. They tested themselves with practice problems, wrote summaries from memory, or explained concepts aloud as if teaching them. Passive review (re-reading, re-watching) was substantially less effective than active review.
The pattern is familiar from in-person learning research, but it is particularly important online because the cues that prompt active review in classroom settings (instructor questions, peer discussion, structured class time) are often absent online. Students who built active review into their study habits compensated for the missing cues. Students who relied on the structure of materials alone often defaulted to passive engagement.
Self-Assessment
Online learners who tracked their own progress through self-assessment produced better outcomes than students who relied on instructor feedback alone. Self-assessment included weekly reflections on understanding, attempted answers to practice questions before checking solutions, and explicit identification of confusing material.
The self-assessment habit appeared to develop metacognitive skills that supported learning across courses. Students who knew where their understanding was strong and where it was weak could direct their effort more efficiently than students who treated all material as equally needing attention.
What This Means for Online Students
For students currently in online courses, the research suggests several practical behaviors. Schedule online work explicitly and protect the scheduled time. Engage with the course platform briefly but consistently throughout each week. Take notes actively while viewing content. Ask questions promptly when confusion arises. Engage with peers in whatever form the course supports. Manage phone access during study sessions. Review actively rather than passively. Track your own progress through self-assessment.
None of these behaviors require extraordinary commitment. They are within reach of most students. The students who adopt them produce outcomes that significantly exceed those of peers who treat online learning as a more flexible version of in-person learning. The flexibility is real, but it requires offsetting structure and discipline that students must provide themselves.
The Larger Picture
The success behaviors identified in the study are not unique to online learning. The same behaviors predict success in in-person courses. What is different about online learning is that students have to provide their own structure for these behaviors, while in-person courses provide some of the structure externally. The behaviors that matter are the same. The discipline required to adopt them is greater online than in person, which explains why online learning produces wider variance in outcomes than in-person learning. Students who recognize this and respond accordingly tend to thrive online. Students who do not often struggle.
Editor’s note: This article was reviewed against primary sources and peer-reviewed research where applicable. Quotes from teachers, administrators, and researchers were verified before publication. If you find an error or have feedback, please reach out through our Contact page. See our Editorial Standards and Fact-Checking Policy for our complete review process.
