Expectations can lead to prediction errors of varying degrees depending on the extent to which the information encountered in the environment conforms with prior knowledge. While there is strong evidence on the computationally specific effects of such prediction errors on learning, relatively less evidence is available regarding their effects on…

The Verifiability Approach predicts that truth tellers will include details that can be verified by the interviewer, whereas liars will refrain from providing such details. A meta-analysis revealed that truth tellers indeed provided more verifiable details (k = 28, d = 0.49, 95% CI [0.25; 0.74], BF[subscript 10] = 93.28), and a higher proportion…

Research on investigative interviewing has highlighted the role of rapport in nonconfrontational, evidence-based interviewing procedures, but questions remain about the nature and function of rapport in such interviews. Across three samples drawn from multiple previous studies involving similar methodologies, we addressed four issues: a potential…

In order to analyze the non-linear and uncertain relationships among the student-related features, curriculum-related features as well as the environment-related features, and then quantify the corresponding impacts on students' final MOOC performance in a valid way, we first construct a Students' performance Prediction Bayesian Network (SPBN) via…

Electrophilic aromatic substitution (EAS) represents an important class of reactions taught in the undergraduate organic chemistry curriculum. The EAS reaction of benzene and its substituted derivatives is generally described as proceeding through a carbocation (arenium cation) intermediate, and the regiochemistry of the product is heavily…

The relationship between peer support and academic engagement has been widely explored. However, scarce research examined this relationship for college students, and little was known about the underlying mechanism under this relationship. This study aimed to examine the effect of peer support on academic via the mediation of academic motivation…

Research in early childhood settings requires careful consideration of the impact on all children in the setting, whether participants or non-participants, and evolving ethical approaches in response to children's needs. However, flexible approaches and, 'in the moment', ethical adaptations are not routinely reported as part of early childhood…

Across the UK, child protection social workers are routinely called upon to assess the likelihood of future significant harm to children. Yet making consistently accurate judgements about what may or may not happen in future can be a difficult task. In a previous study, we tested social workers' abilities (n = 283) to forecast the likelihood of…

Coding think-aloud transcripts is time-consuming and labor-intensive. In this study, we examined the feasibility of predicting students' reasoning activities based on their think-aloud transcripts by leveraging the affordances of text mining and machine learning techniques. We collected the think-aloud data of 34 medical students as they diagnosed…

Contribution: This article suggests a novel method for diagnosing a learner's cognitive proficiency using deep neural networks (DNNs) based on her answers to a series of questions. The outcome of the forecast can be used for adaptive assistance. Background: Often a learner spends considerable amounts of time in attempting questions on the concepts…

Unaddressed social, emotional, and behavioral (SEB) needs and academic challenges may lead to negative youth outcomes. Universal behavioral risk screeners, like the student self-report Social, Academic, and Emotional Behavior Risk Screener (SAEBRS-SRS), identify at-risk students. To improve screening tool use, research is needed to identify the…

The current study illustrated a mediation model of different aspects of family environmental factors in predicting short-term memory and social understanding in Chinese children. The study investigated how children's short-term memory and social understanding were predicted by family environment factors, including socioeconomic status, home…

Background: Formative assessments build a positive learning environment and provide feedback to enhance learning. This study examined the impact of online formative and low-stake summative assessments on medical students' learning outcomes in the Clinically Oriented Anatomy course from 2016 to 2020. We aimed to demonstrate that formative…

The majority of research in computational psycholinguistics on sentence processing has focused on word-by-word incremental processing within sentences, rather than holistic sentence-level representations. This study introduces two novel computational approaches for quantifying sentence-level processing: sentence surprisal and sentence relevance.…

Understanding the relationship between student behaviors and learning outcomes is crucial for designing effective collaborative learning environments. However, collaborative learning analytics poses significant challenges, not only due to the complex interplay between collaborative problem-solving and collaborative dialogue but also due to the…