Teacher job satisfaction is an important research element in teacher education and educational research. Based on data from the China Education Tracking Survey, this study analyzes the factors that influence the job satisfaction of 690 junior high school teachers and further constructs a prediction model. The study shows that gender, burnout,…

The widespread adoption of mobile technologies has exacerbated their utilization in educational environments. Multitasking in the classroom is a common practice and deserves further investigation to understand its antecedents. Yet, rare studies have addressed this issue based on the theory of planned behavior framework. To this end, the current…

The impact of population policy changes on the demand for educational resources has long been a central focus of scholarly inquiry. With the recent implementation of China's three-child policy, there arises the potential for shifts in preschool enrollment patterns, thereby influencing the demand for preschool educational resources. This study…

This research is a comprehensive mixed-methods study that aims to examine in depth the correlations between science teachers' research literacy, socio-scientific reasoning, and problem-solving skills. The quantitative phase of the research was conducted using a descriptive survey method, while the qualitative phase employed a case study design.…

Aim/Purpose: The aim of this paper is to evaluate whether the use of social media by college students is linked with diminished academic productivity, and if so, why? Background: In prior research, social media use was inversely related to academic productivity. We replicated that effect and tested whether depletion sensitivity, delay discounting,…

Generative AI (GenAI) has the potential to revolutionize the analysis of educational data, significantly impacting learning analytics (LA). This study explores the capability of non-experts, including administrators, instructors, and students, to effectively use GenAI for descriptive LA tasks without requiring specialized knowledge in data…

Predictive analytics are increasingly pervasive in higher education. However, algorithmic bias has the potential to reinforce racial inequities in postsecondary success. We provide a comprehensive and translational investigation of algorithmic bias in two separate prediction models--one predicting course completion, the second predicting degree…

This study tested the feasibility and efficacy of a Virtual Reality (VR) social prediction training (VR-Spirit) specifically designed for patients with congenital cerebellar malformation. The study is a randomised controlled trial in which 28 cerebellar patients aged 7-25 yo were randomly allocated to the VR-Spirit or to a control intervention in…

This survey (N = 579) investigated news media literacy among those likely to believe in the conspiracy theories of QAnon. Vulnerability to belief in QAnon conspiracies was predicted by a media diet of alternative media such as 4chan and SnapChat. Those vulnerable to QAnon conspiracy theories had lower news media literacy scores than those who…

Reading is a fundamental human capacity that recruits and tunes brain circuitry subserving several neurocognitive skills. Individual differences in reading-related skills are largely influenced by genetic variation. However, the molecular basis of the heritability of reading-related skills remains narrowly replicated. Genome-wide association…

This study provides meta-analytic evidence supporting the validity of the Learning-Centered School Leadership Framework, as a whole and its core dimensions, in predicting student achievement. We conducted a meta-analysis on 208 effect sizes from 26 studies to estimate the direct and indirect effect sizes of the framework overall, as well as each…

This study investigated motor preparation and action-consequence prediction using the lateralized readiness potential (LRP). Motor impairments are common in autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD), which commonly co-occur. Alterations in predictive processes may impact motor planning. Whether motor…

Autistic individuals are at risk for developing depression though the risk and protective factors for co-occurring depression in autistic individuals are not yet fully characterized. In this retrospective medical chart review study, we explored factors associated with self-reported depressive symptoms (Patient Health Questionnaire-9) in autistic…

This study examined the co-occurrence of word reading difficulty in Chinese (L1) and English as a second language (L2) and tested language and executive functioning (EF) skills as correlates. Thirty-nine poor readers in Chinese (PC), 39 poor readers in English (PE), and 26 poor readers of both languages (PB) were compared to 39 average readers who…

With the widespread use of learning analytics (LA), ethical concerns about fairness have been raised. Research shows that LA models may be biased against students of certain demographic subgroups. Although fairness has gained significant attention in the broader machine learning (ML) community in the last decade, it is only recently that attention…