The job demands-resources model (JD-R model; Bakker & Demerouti, 2014) is well established in occupational research, and the proposed processes it posits have been replicated numerous times. Thus, the JD-R model provides an excellent framework for explaining the occupational well-being of beginning teachers-an occupation associated with particularly high levels of strain and consequently, high attrition rates. However, the model's assumptions have to date mostly been tested piecewise, and seldom on the basis of longitudinal models. With a series of longitudinal autoregressive SEM models (N = 1,700) we tested all assumptions of the JD-R model simultaneously in one model with an applied focus on beginning teachers. We assessed self-reports of beginning teachers at three time waves: at the beginning and end (one and a half to two years later) of their preservice period, and again, one year later. Results revealed significant direct effects of resources (self-efficacy) on engagement, of demands (classroom disturbances) on strain (emotional exhaustion), and a significant reverse path of engagement on self-efficacy. Additionally, the results showed two moderation effects: Self-efficacy buffered the demands-strain relationship, while self-efficacy also predicted engagement, especially when disturbances were high. Thus, self-efficacy in classroom management plays an important role in the teachers' stress development process, as it will, in case of high classroom disturbances, not only buffer the strain-enhancing effects, but also boost engagement. Commitment was predicted directly by emotional exhaustion and engagement, but indirectly only by self-efficacy (via engagement). Thus, we provide strong empirical support for the JD-R model. (PsycINFO Database Record

Training interventions for self-regulated learning foster the use of strategies and skills as well as their transfer to new learning tasks. Because cognitive strategies or motivation regulation strategies are task-specific, their transfer is limited. In contrast, metacognitive skills are task-general and transferable to a wide variety of learning tasks. Questions arise, therefore, as to whether students transfer metacognitive skills spontaneously and how to support metacognitive skill transfer. Previous research shows that hybrid training, which addresses both metacognitive skills and cognitive strategies, supports near transfer. However, it is not clear whether hybrid training also fosters far transfer of metacognitive skills. In investigating this research question, 233 fifth-grade students were randomly assigned to six different conditions: two hybrid-training conditions (metacognitive skills and one out of two cognitive strategies), two non-hybrid training conditions (“only” one out of two cognitive strategies), and two control training conditions (neither metacognitive skills nor cognitive strategies). After 15 weeks of training, transfer of metacognitive skills to learning tasks similar to training tasks (near transfer) was tested. In the following 15 weeks, all students received a second, non-hybrid training involving a new cognitive strategy. Far transfer of metacognitive skills to the new cognitive strategy was tested afterward. The results show that hybrid training, compared to non-hybrid and control training, improved both students’ near and far transfer of metacognitive skills. Moreover, cognitive strategy use increased in at least one of the hybrid-training conditions. However, since the level of metacognitive skills use remained low, further means to support transfer are discussed.

Models of self-regulated learning emphasize the active and intentional role of learners and, thereby, focus mainly on conscious processes in working memory and long-term memory. Cognitive load theory supports this view on learning. As a result, both fields of research ignore the potential role of unconscious processes for learning. In this review paper, we propose an interactive layers model on self-regulated learning and cognitive load that considers sensory memory, working memory, and long-term memory. The model distinguishes between (a) unconscious self-regulated learning initiated by so-called resonant states in sensory memory and (b) conscious self-regulated learning of scheme construction in working memory. In contrast with conscious self-regulation, unconscious self-regulation induces no cognitive load. The model describes conscious and unconscious self-regulation in three different layers: a content layer, a learning strategy layer, and a metacognitive layer. Interactions of the three layers reflect processes of monitoring and control. We first substantiate the model based on a narrative review. Afterwards, we illustrate how the model contributes to re-interpretation of inconsistent empirical findings reported in the existing literature.

Metacognitive skills are often considered domain-general, therefore they have the potential to transfer across domains, subjects, and tasks. However, transfer of metacognitive skills seldomly occurs spontaneously. Schuster et al., (2020) showed that training can have beneficial effects on spontaneous near and far transfer of metacognitive skills. However, evidence of metacognitive skill transfer resulting in superior acquisition of content knowledge is pending. In the present study we set out to extend prior findings by investigating whether students benefit from training metacognitive skills not only regarding metacognitive skill application but also regarding content knowledge acquisition in learning tasks of different transfer distances. 243 fifth-grade students were randomly assigned to three different conditions for the first 15 weeks of a school year: two hybrid metacognitive skill training conditions (metacognitive skills and one out of two cognitive strategies) and one non-hybrid training condition (cognitive strategies or motivation regulation only). For the second 15 weeks of the school year, all students received non-hybrid training involving a new cognitive strategy. Spontaneous metacognitive skill transfer of different transfer distances (near and far) was tested after the first and after the second 15 weeks of training. The effect of hybrid metacognitive skill training on the acquisition of content knowledge was measured once directly after the first 15 weeks. Results show that hybrid metacognitive skill training supported spontaneous transfer of metacognitive skills to learning scenarios of both near and far transfer distance. However, hybrid metacognitive skill training only had a positive effect on content knowledge acquisition if metacognitive skill transfer was near.

Background: What is redundancy? While most studies confirm that redundancy is harmful to learning, there are two theoretical approaches to redundancy. The first understands redundancy as a contentual overlap that puts demand on the limited cognitive capacities of the learner. The second understands redundancy as an ineffective combination of sources leading to an overload of the limited working memory modalities. Aims: Since these theoretical differences are rarely acknowledged in operation, this study proposes a classification of two distinct types of redundancy to compare these experimentally to investigate their possible main and interaction effects. The first type, content redundancy, is concerned with the contentual overlap of information. The second type, modal redundancy, is concerned with the modalities in which the information is displayed. Methods: We used these two types of redundancy as factors in a 2 × 2 within‐subject design, in which we experimentally compared their effects. Sample: University students ( N = 46) learned from specifically designed domain‐general material which aimed to observe redundancy effects without interference from confounding variables. Results: The results show that content redundancy increases learning outcomes and decreases cognitive load, while modal redundancy decreases learning outcomes and increases cognitive load. Conclusion: On the theoretical level, these findings confirm the usefulness to distinguish content redundancy from modal redundancy. On the practical level, the empirical findings of the different effects of the two types of redundancy provide educators with important insights that can improve the design of multimedia learning materials.