Rivers Lab Theme 1: Educational Psychology and Learning Systems

This research examines self-regulated learning and metacognition in university students, focusing on how individuals interpret task demands, plan and monitor their behaviour and adapt over time within structured learning environments. Emphasis is placed on modelling the cognitive, affective and behavioural processes that give rise to observable patterns of engagement and performance, including variability in achievement outcomes such as GPA, assigment or task completion and sustained academic participation.
Constraint
Learner constraints
Task constraints
Instructional constraints
Evaluation constraints
Temporal constraints
Load constraints
Behaviour
Interpreting task demands
Goal setting and planning
Monitoring progress
Evaluating performance
Updating understanding
Adaptation
Strategy selection
Resource allocation
Engagement regulation
Strategy adaptation
Demand management
Outcome
Performance (GPA)
Task completion rates
Engagement consistency
Effort efficiency
Inter-individual variability
From this perspective, academic performance is understood as the observable result of ongoing regulatory processes. Behaviour is treated as a continuous adjustment mechanism, as students respond to changing cognitive demands, constraints and feedback conditions.





Predicted GPA Outcome: --
This research typically uses quantitative modelling to examine how learner characteristics and regulatory behaviours contribute to academic outcomes. Survey-based measures of metacognitive awareness, motivation, help-seeking, perseverance and executive functioning are analysed alongside institutional performance indicators such as GPA and assessment outcomes. The analytical focus is on identifying pathways through which cognitive and affective factors become expressed as academic performance. Regression modelling, multivariate analysis and structural equation modelling are used to test direct and mediated relationships among learner-regulation variables, behavioural indicators and academic achievement.
The interactive system above models the mediated relationships between achievement motivation, learning strategy deployment and academic outcomes within a computer-mediated English learning environment. The model visualizes how mastery, performance-approach and performance-avoidance orientations influence strategic adaptation and achievement through differentiated learning pathways. This work is documented in the following article : Rivers, D.J. (2021). A serial mediation approach to goal orientations, learning strategies and achievement outcomes on a computer-mediated English program. Journal of Educational Computing Research, 59(7), 1343–1369.
As another example of our research, the interactive research shown above models the recursive relationships between metacognitive knowledge, academic self-concept, self-regulation, affect, and behavioural adaptation within socially distanced online learning environments.This system examined learner self-appraisals and adaptive learning processes among university students engaged in online learning during the COVID-19 pandemic. This work is documented in the following article : Rivers, D.J., Vallance, M., & Nakamura, M. (2021). Metacognitive knowledge and the self as socially distanced online learner: A virtual reality assisted analysis of academic self-concept. Journal of Educational Technology Systems, 50(3), 323–345.
The interactive system above models the mediated relationships between metacognitive skills, task definition, persistence, help-seeking behaviour and online academic achievement within a socially distanced online learning environment. The model visualizes how goal setting, strategic planning and comprehension monitoring operate as interconnected metacognitive processes that influence achievement indirectly through behavioural regulation and sustained persistence. Particular emphasis is placed on the role of task definition as a mediating structure linking learner awareness to effective online learning behaviour. This work is documented in the following article : Rivers, D.J., Nakamura, M., & Vallance, M. (2021). Online self-regulated learning and achievement in the era of change. Journal of Educational Computing Research, 60(1), 104-131. The interactive research model shown represents online self-regulated learning as a recursive behavioural system in which metacognitive awareness, course expectations, persistence and adaptive regulation interact dynamically within digital learning environments.
The interactive system above models the mediated relationships between personality traits, generalized life stress, online learning stress appraisal and the affordance of socially distanced online education during the COVID-19 pandemic. The model visualizes how conscientiousness, neuroticism and extroversion influence the appraisal of online learning environments through differentiated stress pathways. Particular emphasis is placed on the role of stress appraisal as a mediating structure linking stable personality characteristics to educational experience and adaptation within socially distanced digital learning environments. This work is documented in the following article : Rivers, D.J. (2022). Stress mediates the relationship between personality and the affordance of socially distanced online education. Human Behavior and Emerging Technologies, 2022, 9719729. The interactive research model shown conceptualizes online learning affordance as an emergent psychological relationship shaped by personality, environmental stressors and adaptive educational regulation during periods of disruption and uncertainty.
The interactive system above models the relationships between personality traits, online academic self-efficacy, technology acceptance, actual Moodle use and course achievement within a socially distanced asynchronous university learning environment. Drawing from the Technology Acceptance Model (TAM), five-factor personality theory and self-efficacy theory, the system visualizes how conscientiousness and agreeableness positively influence online academic self-efficacy and indirectly shape perceived ease of use, perceived usefulness, actual Moodle engagement and academic outcomes. Particular emphasis is placed on the distinction between attitudinal acceptance and objectively observed platform behaviour through Moodle log data, highlighting how actual system use emerged as a stronger predictor of achievement than positive attitudes toward the technology itself. The model further conceptualizes socially distanced online learning as a recursive human–technology system in which learner characteristics, motivational beliefs, platform affordances, and behavioural regulation dynamically interact to shape educational outcomes during pandemic-era online education. This work is documented in the following article : Rivers, D.J. (2021). The role of personality traits and online academic self-efficacy in acceptance, actual use and achievement in Moodle. Education and Information Technologies, 26, 4353–4380.
The interactive system above models the structural relationships between self-regulation, university support services, future career appraisal, learning management systems and the perceived value of remote access online learning during the COVID-19 pandemic. The model visualizes how adaptive self-regulatory behaviours and institutional support structures contributed to positive appraisals of online education within a rapidly changing educational landscape. Particular emphasis is placed on the distinction between interpersonal and behavioural factors compared with purely technological considerations, with the tested structural model demonstrating that perceived educational value was shaped more strongly by self-regulation, support systems and future career expectations than by the technological interface itself. This work is documented in the following article : Rivers, D.J. (2023). The perceived value of remote access online learning: An instrument construction and validation case study. Education Sciences, 13(12), 1176. The interactive research model shown conceptualizes remote access online learning as an adaptive value system in which learner regulation, institutional support, career expectations and technological mediation interact dynamically within post-pandemic higher education environments.
The interactive system above models the relationships between dimensions of Japanese national identity, emotional attachment to language and the positioning of English as either opportunity or obstruction within contemporary Japanese society. Drawing from social identity theory, nationalism research and affective approaches to language learning, the system visualizes how nationalism, patriotism, commitment to national heritage and internationalism differentially shape emotional attachment to both Japanese and English, which subsequently influence the appraisal of English language learning within Japan. Particular emphasis is placed on the mediating role of English emotional attachment and the distinction between positioning English as an aspirational source of opportunity versus a symbolic threat to identity, culture and national belonging. The model further conceptualizes English language education as an affectively mediated identity system in which globalization, language ideology, national self-concept and emotional affiliation recursively interact within the Japanese sociocultural context. This work is documented in the following article : Rivers, D.J. (2020). Japanese national identity and the positioning of English as opportunity or obstruction. Contemporary Japan, 33(1), 41-56.