As a result of globalization, Chinese young adults who transit to adulthood currently are being exposed to a combination of traditional Chinese values such as collectivism and Confucian philosophy, as well as Western individualism. We analyzed the trends in depression prevalence within an 8-year period using panel data derived from young adults in…

Loneliness has recently been defined as a public health problem, and college students from various cultures are considered a vulnerable group. As college students must cope with new personal, social, and academic challenges, their perceptions regarding their entitlement from their environment, and their gratefulness for the assistance they…

Contribution: The study examines the predictive and mediating significance of social and teaching presences on cognitive presence in a Community of Inquiry (CoI) mediated by a desktop virtual reality (VR). The findings of this study have implications for how to leverage VR learning environments to support meaningful collaborative engagement.…

This research aims to identify factors predicting pre-service technical teachers' academic performance in a technical teacher training context. This study employed a predictive correlational design. We developed the conceptual framework by combining previous research, and then created a survey to gather data. Between August 1 and August 30, 2022,…

This study examines the embodied ways in which learners monitor their cognition while learning about exponential functions in an immersive virtual reality (VR) based game, "Pandemic" by Prisms of Reality. Traditionally, metacognitive monitoring has been assessed through behavioural traces and verbalised instances. When learning in VR,…

Teaching computer programming language remotely presents particular difficulties due to its requirement for abstract and logical thinking. There is a dearth of research specifically examining the potential factors that determine student performance when distance self-learning is conducted for programming language education. This study aims to…

Purpose: This research aims to build on the pre-existing corpus of literature through the integration of the technology acceptance model (TAM) and usage habit to more accurately capture the determinants associated with social media addiction among university students. This study seeks to delineate how usage habit and TAM may be used as predictors…

Artificial intelligence in higher education is becoming more prevalent as it promises improvements and acceleration of administrative processes concerning student support, aiming for increasing student success and graduation rates. For instance, Academic Performance Prediction (APP) provides individual feedback and serves as the foundation for…

In today's world, lifelong learning (LLL) is a key element of individual and societal success. However, despite knowing potential determinants of LLL, we do not yet understand how they interact to facilitate LLL. Therefore, the present study aims to verify the usefulness of the Theory of Planned Behavior (TPB) in predicting LLL. We applied a…

This study aims to examine the relationships between school principals' entrepreneurial competencies, sustainable management behaviours and generative leadership according to the perceptions of teachers working in state-owned schools. The causal screening model was used in the study, the data of the relevant variables were obtained by the scales…

The purpose of the present research was to examine the interplay between teacher feedback, parental involvement and peer support and on homework engagement of students. The research adopted correlation research model, and the participants of the research were students (n = 450) in the central region of Turkey. In the research, 'Teacher Feedback in…

On average, deaf and hard-of-hearing (DHH) children have difficulty developing expressive spoken vocabulary comparable to hearing peers. Yet, there are no evidence-based practices to guide classroom instruction for teachers of the deaf. Retrieval practice--a robust learning strategy--has been shown to improve children's retention of vocabulary,…

Background: Life satisfaction is a key component of students' subjective well-being due to its impact on academic achievement and lifelong health. Although previous studies have investigated life satisfaction through different lenses, few of them employed machine learning (ML) approaches. Objective: Using ML algorithms, the current study predicts…

Studies on learning strategies across cultures in higher education inform the internationalisation of teaching and learning. Previous comparisons relied on geographical generalisations (e.g., "Asian", "Western", "Latin-American") or only variable-centred methods, which can overgeneralise the contexts they represent.…

This quantitative study investigates the predictive power of machine learning (ML) models on degree completion among adult learners in higher education, emphasizing the enhancement of data-driven decision-making (DDDM). By analyzing three ML models - Random Forest, Gradient-Boosting machine (GBM), and CART Decision Tree - within a not-for-profit,…