Personality Traits and Online Learning Environments
Summary
Personality traits are enduring patterns of thoughts, feelings and behaviours that distinguish individuals. In the context of online learning, these traits shape how learners engage with digital platforms, interact with peers and instructors, and regulate their own study processes. The Five Factor Model—comprising openness to experience, conscientiousness, extraversion, agreeableness and neuroticism—provides a widely adopted framework for understanding individual differences. Conscientious learners often exhibit higher persistence and achieve better outcomes in asynchronous environments, while extraverted individuals may seek out collaborative tools and live discussion forums. Those high in openness are inclined towards exploratory learning activities, and agreeableness can foster smoother peer interactions. Conversely, learners with elevated neuroticism may experience anxiety in self-paced settings, highlighting the need for supportive scaffolding. Online learning environments encompass both synchronous and asynchronous modalities, employing learning management systems, multimedia resources and interactive assessments. Effective design increasingly draws on adaptive learning techniques that tailor content and pacing to learners’ traits, promoting engagement and reducing drop-out rates. Globally, institutions are leveraging these insights to enhance retention, personalise feedback and inform policy on digital pedagogy. By integrating personality assessment with real-time analytics, educators can develop interventions that align with learners’ motivational profiles, thereby supporting equitable access and improving academic success.
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Personality Traits and Online Learning Environments publication trend
The graph below shows the total number of articles in personality traits and online learning environments across all publications each year (not limited to Nature Index journals).
Technical terms
Big Five personality traits: A model identifying five broad dimensions—openness, conscientiousness, extraversion, agreeableness and neuroticism—that capture human personality variation.
Self-regulation: The capacity of learners to control their cognitive, motivational and behavioural processes in pursuit of educational goals.
Lag sequential analysis: A statistical method for identifying patterns in the order of observed behaviours, used to reveal how learners navigate and interact within online courses.
References
- Exploring educational impacts among pre, during and post COVID-19 lockdowns from students with different personality traits. International Journal of Educational Technology in Higher Education (2023).
- Online learning during the Covid-19 pandemic: How university students’ perceptions, engagement, and performance are related to their personal characteristics. Current Psychology (2023).
- Impact of personality traits on learners’ navigational behavior patterns in an online course: a lag sequential analysis approach. Frontiers in Psychology (2023).
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