Cognitive and Affective-Motivational Factors as Predictors of Students' Home Learning During the School Lockdown.

During the COVID-19 pandemic, students were facing great challenges. Learning was shifted from the classroom to the home of the students. This implied that students had to complete their tasks in a more autonomous way than during regular lessons. As students' ability to handle such challenges might depend on certain cognitive and motivational prerequisites as well as individual learning conditions, the present study investigates students' cognitive competencies as well as affective-motivational factors as possible predictors of coping with this new learning situation at home. The study uses data of Starting Cohort 2 of the German National Educational Panel Study (NEPS). Data of two measurement points are analyzed: Predictors were assessed at the earlier time point, when students (N=1,452; M age=12years, 8months; 53.4% female) mostly attended seventh grade of a secondary school. They completed competence tests in reading as well as mathematics and rated affective-motivational aspects in terms of willingness to exert effort, learning enjoyment, and intrinsic motivation. One and a half years later - during the COVID-19 pandemic and the first period of school closures - the second measurement point took place. Students' parents rated the situation of learning at home with respect to students' coping with the new situation and parents' difficulties to motivate them. Regression analyses controlling for school track, students' gender, and parents' educational level and parental stress revealed that students' reading competencies and their willingness to exert effort were significant predictors of their coping with the new learning situation at home. Moreover, parents reported that boys were more difficult to motivate to learn during this time as compared to girls. Other predictors (e.g., learning enjoyment) turned out to be non-significant when entered simultaneously in the regression analyses. The results point to the importance of children's prerequisites for autonomous learning situations without structuring elements by teachers within the school context.

Determinants of profiles of competence development in mathematics and reading in upper secondary education in Germany.

The registered report was targeted at identifying latent profiles of competence development in reading and mathematics among N = 15,012 German students in upper secondary education sampled in a multi-stage stratified cluster design across German schools. These students were initially assessed in grade 9 and provided competence assessments on three measurement occasions across six years using tests especially developed for the German National Educational Panel Study (NEPS). Using Latent Growth Mixture Models, Using Latent Growth Mixture Models, we aimed at identifying multiple profiles of competence development. Specifically, we expected to find at least one generalized (i.e., reading and mathematical competence develop similarly) and two specialized profiles (i.e., one of the domains develops faster) of competence development and that these profiles are explained by the specialization of interest and of vocational education of students. Contrary to our expectations, we did not find multiple latent profiles of competence development. The model describing our data best was a single-group latent growth model confirming a competence development profile, which can be described as specializing in mathematical competences, indicating a higher increase in mathematical competences as compared to reading competences in upper secondary school. Since only one latent profile was identified, potential predictors (specialization of vocational education and interest) for different profiles of competence development were not examined.

Profiles of competence development in upper secondary education and their predictors.

This registered report protocol elaborates on the theory, methods, and material of a study to identify latent profiles of competence development in reading and mathematics among German students in upper secondary education. It is expected that generalized (reading and mathematical competence develop similarly) and specialized (one of the domains develops faster) competence profiles will be identified. Moreover, it is hypothesized that students' domain-specific interest and educational history will predict membership of these latent profiles as these factors influence the students' learning environments. For this study, we will use data from the German National Educational Panel Study, including students from ninth grade in secondary schools (expected N = 14,500). These students were tracked across six years and provided competence assessments on three occasions. The latent profiles based on the students' reading and mathematical competences will be identified using latent growth mixture modeling. If different types of profiles can be identified, multinomial regression will be utilized to analyze whether the likelihood of belonging to a certain competence development profile is influenced by students' domain-specific interest or educational history. As this protocol is submitted before any analyses were conducted, it will provide neither results nor conclusions.

The effects of goal-driven and data-driven regulation on metacognitive monitoring during learning: a developmental perspective.

Research in metacognition (Koriat, Ma'ayan, & Nussinson, 2006) suggests bidirectional links between monitoring and control during learning: When self-regulation is goal-driven, monitoring affects control so that increased study time (ST) enhances judgments of learning (JOLs). However, when self-regulation is data-driven, JOLs are based on the feedback from control, and therefore JOLs decrease with ST under the heuristic that ease of encoding is diagnostic of successful recall. Evidence for both types of relationships occurring within the same situation was found for adults. We examined the development of the ability to respond differentially to data-driven and goal-driven variation in ST within the same task. Children in Grades 5 and 6 exhibited a positive ST-JOL relationship for goal-driven regulation and a negative relationship for data-driven regulation but never in the same task. In contrast, the JOLs and recall of 9th graders and college students yielded differential cosensitivity to data-driven and goal-driven variation. The 5th and 6th graders also evidenced an adult-like pattern of JOLs and recall under a partitioning procedure that helped them in factoring the variation in ST due to data-driven and goal-driven variation in ST. The results are discussed in terms of the metacognitive sophistication needed for considering both types of variation simultaneously in making metacognitive judgments.

Self-paced study time as a cue for recall predictions across school age.

Recent work on metacognition indicates that monitoring is sometimes based itself on the feedback from control operations. Evidence for this pattern has not only been shown in adults but also in elementary schoolchildren. To explore whether this finding can be generalized to a wide range of age groups, 160 participants from first to eighth grade participated in a study based on a self-paced study time (ST) allocation paradigm. In contrast to previous studies, picture pairs instead of word pairs were used as stimuli to compensate for reduced reading skills in younger participants. Actual ST and judgments of learning (JOLs) made at the end of each study trial were used as core variables. The results are in line with previous findings, in that children's JOLs decreased with increasing ST, suggesting that JOLs were based on the memorizing effort heuristic that easily learned items are more likely to be remembered. Weaker inverse relationship between JOLs and ST was found for the younger children. Overall, these results underline the importance of mnemonic cues in shaping metacognitive feelings not only in adults but also in older children and expose a developmental trend in their use along childhood.

The memorizing effort heuristic in judgments of learning: a developmental perspective.

Recent work on adult metacognition indicates that although metacognitive monitoring often guides control operations, sometimes it follows control operations and is based on the feedback from them. Consistent with this view, in self-paced learning, judgments of learning (JOLs) made at the end of each study trial decreased with the amount of time spent studying the item, suggesting that JOLs are based on the memorizing effort heuristic that easily learned items are more likely to be remembered. Study 1 extended investigation to primary school children. Whereas for third to sixth graders (9- to 12-year-olds) JOLs decreased with increasing study time (ST), no such relationship was found for first and second graders (7- and 8-year-olds). For both age groups, however, recall decreased with ST, supporting the validity of the memorizing effort heuristic. Self-reports (Study 2) disclosed the belief that recall should tend to increase with ST. The results bring to the fore the importance of mnemonic cues that shape metacognitive feelings even among primary school children. These cues lie in the very feedback that learners gain on-line from task performance rather than in metacognitive knowledge, and their use may also contribute to increased monitoring accuracy with age.

Knowledge about the mind: links between theory of mind and later metamemory.

This longitudinal study combined, in a single study, different aspects of children's knowledge about mental phenomena and thus could investigate relations among the development of language, theory of mind, and later metamemory. In total, 183 German children were tested at ages 3, 4, and 5. Each time of testing included a set of theory-of-mind tasks, a battery of language development, and additionally, at Time 3, a set of metamemory questions. The findings demonstrate strong relationships between children's language abilities and their theory of mind (both first- and second-order false beliefs). Moreover, both theory-of-mind and language competencies significantly predicted later metamemory, with their relative contribution changing over time. Language may influence metamemory developmentally both directly and indirectly (through theory of mind).