Knowledge tracing (KT) for evaluating students' knowledge is an essential task in personalized education. More and more researchers have devoted themselves to solving KT tasks, e.g., deep knowledge tracing (DKT), which can capture more sophisticated representations of student knowledge. Nonetheless, these techniques ignore the reconstruction of…

This study aimed to investigate the effects of judgment frames, cues, and test criteria on the accuracy of metacomprehension monitoring. The design was a 2 (rating comprehension vs. predicting performance) × 2 (memory cues vs. comprehension cues) × 2 (detailed questions test vs. inferential questions test) mixed design with judgment frames and…

The current study used microanalytic interviews and behavioral traces to examine sequential phase relations among forethought, performance, and self-reflection processes, and to investigate the predictive influence of these processes on mathematics performance of 96 eighth grade students. Consistent with expectations, students' microanlaytic goals…

Causal reasoning is a fundamental cognitive process that supports a wide range of learning activities such as making predictions and inferences, explaining phenomena, and drawing conclusions. In physics learning, causal reasoning plays an important role in developing conceptual understanding and problem-solving skills. This study builds off the…

Our social world is rich with information about other people's choices, which subsequently inform our inferences about their future behavior. For individuals socialized within the American cultural context, which places a high value on autonomy and independence, outcomes that are the result of an agent's own choices may hold more predictive value…

Motivation and self-concept count among the educationally most relevant factors and the evaluation of many educational interventions requires their valid measurement. The present study examined the psychometric properties of a shortened version of the Students' Approaches to Learning questionnaire measuring 10 distinct motivational and…

We assessed the relationship between word-to-text-integration (WTI) and reading comprehension in 7th grade students (n = 441) learning English as a second language (L2). The students performed a self-paced WTI reading task in Fall (T1) and Spring (T2), consisting of three text manipulation types (anaphora resolution, argument overlap, anomaly…

We examined the relationship between inference making, vocabulary knowledge, and verbal working memory on children's reading comprehension in 62 6th graders (aged 12). The effect of vocabulary knowledge on reading comprehension was predicted to be partly mediated by inference making for two reasons: Inference making often taps the semantic…

The current study aimed to investigate the relation between conditional reasoning, which is a common type of logical reasoning, and children's mathematical problem solving. A sample of 124 fourth graders was tested for their conditional reasoning skills and their mathematical problem solving skills, as well as a list of control variables (e.g.,…

Researchers studying parent-child reminiscing in the preschool years have often focused on parents' and children's elaborative talk (i.e., provision of unique details). The current study proposes a novel conceptualization of parent-child reminiscing narratives by examining 4 levels of abstraction (i.e., a continuum of literal to inferential…

Metaphor development in conjunction with verbal intelligence and linguistic competence in middle childhood and at the transition to early adolescence was investigated. 298 individuals between seven and ten years (chronological age) who attended grades two-four (mental age) were tested for metaphor processing by the Metaphoric Triads Task, for…

The Predict-Observe-Explain (POE) learning cycle improves understanding of the connection between empirical results and theoretical concepts when students engage in hands-on experimentation. This study explored whether training students to use a POE strategy when learning from social science texts that describe theories and experimental results…

Making inferences and reasoning with new scientific information is critical for successful performance in biology coursework. Thus, identifying students who are weak in these skills could allow the early provision of additional support and course placement recommendations to help students develop their reasoning abilities, leading to better…

The ability to predict future events in the environment and learn from them is a fundamental component of adaptive behavior across species. Here we propose that inferring predictions facilitates speech processing and word learning in the early stages of language development. Twelve- and 24-month olds' electrophysiological brain responses to heard…

Student modeling can help guide the behavior of a cognitive tutor system and provide insight to researchers on understanding how students learn. In this context, Bayesian Knowledge Tracing (BKT) is one of the most popular knowledge inference models due to its predictive accuracy, interpretability and ability to infer student knowledge. However,…