This study investigated whether various aspects of the home learning environment -- that is, learning-related processes, parental perceptions of their child, and structural characteristics -- predicted private tutoring attendance in Grade 8. We used the data of 7393 students from the German National Educational Panel Study. Seventeen percent of…

Private supplementary tutoring is a widespread phenomenon. However, evidence that private tutoring has positive effects on academic achievement or about the specific conditions of successful private tutoring is rare. Adapting Carroll's (1963) model for school learning to private tutoring, we expected to find positive effects of tutoring duration,…

The Chinese education system is characterized as highly meritocratic and examination-oriented. Scores in high-stakes public standardized examinations mainly determine upward educational transitions. Private tutoring classes (PTCs) are a typical measure to boost students' academic achievement. Mental health is also assumed to affect one's behaviors…

This study aimed at uncovering complexities surrounding in-service English as a foreign language (EFL) teachers' identity development. Literature still lacks knowledge about such process in the face of workplace conflicts and as to whether such conflicts vacillate EFL teachers' imagined and practiced identities, especially in the context of Iran.…

Shadow education helps students become academically competitive. Currently, little is known about whether shadow education can effectively fulfill either remedial or enrichment purposes in China. Using the nationally representative data from the China Education Panel Survey (CEPS) collected in 2013 and 2014, this paper explored the opportunity gap…

This paper unpacks the factors likely to influence students' use of supplementary private tutoring in Qatar. Drawing on insights from Ajzen's theory of planned behavior (TPB), the current study seeks to understand the main predictors of private tutoring usage in the context of Qatar. This study used survey questionnaire data to ascertain key…

There has been increasing interest in exploring heterogeneous treatment effects using machine learning (ML) methods such as causal forests, Bayesian additive regression trees, and targeted maximum likelihood estimation. However, there is little work on applying these methods to estimate treatment effects in latent classes defined by…