Because of the COVID-19 pandemic in the spring term 2020, students faced a sudden change from on-campus learning to online learning with synchronous and asynchronous online courses (emergency remote teaching). To study successfully, students not only needed to be prepared in terms of digital readiness (workspace, IT equipment, previous online learning experiences, and sharing information online), they also faced challenges that pertained to the self-regulated management of external resources (environment structuring, time management, and help-seeking). In the current study, we investigated students’ digital readiness for the sudden switch to online learning; differences between students’ intended and actual use of external resource management strategies; and the influence of students’ digital readiness on their actual use of resource management strategies. Students enrolled in a full-scale, German university (N= 662) answered two online questionnaires (before and in the middle of the term). Descriptive statistics indicated that students seemed to be ready to study online. However, repeated measures ANOVA showed that students were not able to manage their resources during the term as frequently as intended. Finally, separate regression analyses revealed that availability of workspace and IT equipment predicted the use of environment structuring strategies. Additionally, IT equipment and information sharing behavior predicted students’ help-seeking. Based on the current results, we discuss implications for the promotion of student self-regulated learning (SRL) in online emergency remote teaching based on both external resources and digital readiness.

Two studies investigated the testing effects on performance and on metacognitive judgment accuracy in authentic learning settings. Across two educational psychology courses, undergraduate students had the opportunity to voluntarily participate in four different practice tests during the term—without feedback in Study 1 (N = 201 students) or with individual corrective feedback in Study 2 (N = 111 students). Across studies in real classroom settings with and without feedback, regression analyses indicated that a higher number of taken practice tests were related to higher performance in the final course exam and to two scores of metacognitive judgment accuracy (absolute accuracy and sensitivity). However, students’ preparation and post-processing practice tests, their perceived usefulness of tests for monitoring one’s performance, and metacognitive specificity differed depending on whether students received feedback or not. Overall, the studies convey considerable evidence on how participation in practice tests is related not only to performance but also to monitoring accuracy in authentic learning settings.

Understanding a learner’s resources as a system of interacting components, the success of a learning process is determined by the effectiveness of their interactions. Theoretical assumptions and empirical findings clearly show the importance of resource availability in learning systems but do not sufficiently consider the individuality or the temporal and situational aspects of resource regulation. Therefore, the current study addresses the complex interplay between learning resources (educational and learning capitals) in an individual learner (N = 1) by utilizing multivariate time series data of a 50-day vocabulary learning process with daily assessments of learning resource availability, performance, learning duration, and stress. We draw on methods of psychometric network analysis, modeling all variables in simultaneous interaction and allowing predictions between all variables from measuring point to measuring point (temporal dynamics). Specifically, using a Graphical Vector Autoregressive (graphicalVAR) model, yielding a contemporaneous and a temporal dynamics network model, we identified pivotal resources in regulating the student’s learning processes and outcomes, including resources with strong connections to other variables, intermediary resources, and resources maintaining the system’s homeostasis. This innovative approach has possible applications as a diagnostic tool that lays the foundation for tailored interventions.

Metacognitive monitoring is conceptualized as a situation-specific and context-dependent process that helps learners to regulate their learning. The current study builds on the idea that metacognitive monitoring can fulfil monitoring functions in different phases (when to monitor: during learning or during testing), and that it refers to several objects (what to monitor: processing or retrieval). The cross-sectional study with 184 higher-education students used a situation-specific approach and referred to students’ monitoring via monitoring strategies and monitoring judgments during test preparation and test processing. Confirmatory factor analyses indicated that monitoring via strategies and judgments can be directed at different objects. In addition, monitoring different objects was more strongly correlated within the same phase than across different phases. The study results emphasize the need for an object-specific and comprehensive consideration of metacognitive monitoring via monitoring strategies and monitoring judgments.