Teachers' well-being and self-efficacy are two important factors linked to quality education. Recent research examining their bidirectionality has revealed inconsistent findings, while those examining the relationships among pre-service and in-service teachers are scarce. This study investigates the reciprocal relationships between teachers'…

Purpose: This study leverages social network analysis (SNA) to visualise the way students interacted with online resources and uses the data obtained from SNA as features for supervised machine learning algorithms to predict whether a student will successfully complete a course. Design/methodology/approach: The exploration and visualisation of the…

Educational data mining is widely deployed to extract valuable information and patterns from academic data. This research explores new features that can help predict the future performance of undergraduate students and identify at-risk students early on. It answers some crucial and intuitive questions that are not addressed by previous studies.…

Machine learning and data mining techniques have been widely used in educational settings to identify the important features that tend to influence students' learning performance and predict their future performance. However, there is little to no research done in the context of Singapore's education. Hence, this study aims to fill the gap by…

Contributions: Prior studies on education have mostly followed the model of the cross-sectional study, namely, examining the pretest and the posttest scores. This article shows that students' knowledge throughout the intervention can be estimated by time-series analysis using a hidden Markov model (HMM). Background: Analyzing time series and the…

This essay describes the work of faculty at a public university in the southeast to align their application process with CPED principles through the addition of structured behavioral interviews. Their work was grounded in the premise that redefinition of the EdD program to focus on the successful preparation of scholarly practitioners also…

Why do students vary in their performance on exams? It may be that their test preparation is insufficient because they overestimate their anticipated grade. Our study investigates four issues related to performance on a final examination. First, we analyze whether students' ability to accurately predict their grade and their subjective confidence…

Few studies have investigated eyewitnesses' ability to predict their later lineup performance, known as "predecision confidence." We applied calibration analysis in two experiments comparing predecision confidence (immediately after encoding but prior to a lineup) to postdecision confidence (immediately after a lineup) to determine which…

Grade prediction can help students and their advisers select courses and design personalized degree programs based on predicted future course performance. One of the successful approaches for accurately predicting a student's grades in future courses is Cumulative Knowledge-based Regression Models (CKRM). CKRM learns shallow linear models that…

Predictive processing (PP) has been repeatedly presented as a unificatory account of perception, action, and cognition. In this paper, we argue that this is premature: As a unifying theory, PP fails to deliver general, simple, homogeneous, and systematic explanations. By examining its current trajectory of development, we conclude that PP remains…

Condemnation is ubiquitous in the social world and adults treat condemnation as a costly signal. We explore when children begin to treat condemnation as a signal by presenting 4- to 9-year-old children (N = 435) with stories involving a condemner of stealing and a noncondemner. Children were asked to predict who would be more likely to steal as…

The managerial ability for leaders becomes a critical matter to achieve organizational effectiveness. This study aims to describe the profile of school principals in Yogyakarta. A total of 39 principals in elementary school and senior high school participated in this study. Data was collected using the Myers-Briggs Type Indicator (MBTI) and…

Electrophysiology studies have identified two event-related potentials that are modulated by predictive processes during language comprehension: the N400 and a frontal positivity. The N400 is smaller when words are presented within highly restrictive sentences, indicating reduced lexical retrieval costs. Violations of strong predictions generate…

Objective: To investigate directionality of the association between alcohol use and physical activity in a college student sample, longitudinally across three time points. Participants: A total of 396 undergraduate students from a large university in the United States (62% females) participated in this study. Methods: Self-report data of alcohol…

Selecting courses in an open-curriculum education program is a difficult task for students and academic advisors. Course recommendation systems nowadays can be used to reduce the complexity of this task. To control the recommendation error, we argue that course recommendations need to be provided together with "statistical" confidence.…