In vocational education, the role of general education (GE) is pivotal in cultivating a well-rounded skill set among students. As the demands of the job market evolve, it becomes imperative to assess and enhance the efficacy of GE in these specialized settings. Vocational colleges (VC) and higher vocational institutions are essential in getting…

The emergence of Generative Artificial Intelligence (GenAI) marks a fundamental transformation in education, mirroring wider technological changes across society. This conceptual article positions GenAI not merely as a tool, but as a relational paradigm shift that redefines pedagogy. Drawing on posthumanist and phenomenological perspectives, we…

The goal of the present study was to identify predictive factors related to cyberbullying by using supervised machine learning in a sample of Chinese adolescents during the COVID-19 pandemic. Participants included 2053 (M[subscript age]=16.36 years, SD = 1.14 years; 44.6% boys) adolescents from Fujian province, China. Data on cyberbullying,…

The integration of artificial intelligence (AI) into higher education has rapidly transformed the learning environment, with significant implications for pre-service teacher education. AI tools such as adaptive learning platforms and virtual simulations offer opportunities to enhance instructional design and develop essential teaching…

Despite the increasing integration of generative Artificial Intelligence (GenAI) in education, a significant research gap exists in its comparative effectiveness against traditional instructor-led guidance in specialized humanities like philology. This quasi-experimental study compares an experimental group (EG, n = 26), using GenAI chatbots for…

As AI tools such as ChatGPT and CoPilot become increasingly common in higher education, universities must reconsider how assessments are designed, monitored, and supported. This small case study investigates how students use AI in online assessments, whether they disclose such use, and how ethical concerns shape their behaviour. Based on a…

This study critically investigates the ethical and structural implications of artificial intelligence (AI) integration into higher education through Karl Marx's theory of alienation. Drawing upon empirical data from a survey of 395 educators in Northern Cyprus, an illustrative context characterised by nascent AI adoption, the research identifies…

School psychologists use intelligence and academic achievement test scores to understand individual differences in abilities that may be directed towards learning and the learning that has already occurred. To make ethical and effective decisions regarding individualized educational programs and interventions, test users must understand the…

This study provides the first analyses connecting individual differences in infant attention to reading achievement through the development of executive functioning (EF) in infancy and early childhood. Five-month-old infants observed a video, and peak look duration and shift rate were video coded and assessed. At 10 months, as well as 3, 4, and…

This chapter reviews the current literature on mental toughness and emotional intelligence to develop an understanding of how they may be interrelated.

Brian Simon (1915-2002), a Marxist historian and educationist in Britain, was a leading pioneer in the comprehensive education movement. Although Simon's great contribution to this movement has been recognised by historians, the development of Simon's ideas and his actions in this movement have hardly been examined in great depth by previous…

Behavior analysts typically rely on visual inspection of single-case experimental designs to make treatment decisions. However, visual inspection is subjective, which has led to the development of supplemental objective methods such as the conservative dual-criteria method. To replicate and extend a study conducted by Wolfe et al. (2018) on the…

Most research on emotions and behaviors in science education has used observational or declarative methods. These approaches present certain strengths, but they have important limitations for deepening our understanding of the affective domain. In this work, we develop a method for analyzing the dynamics of affective variables during an…

This study investigated the utility of four WAIS-IV Digit Span (DS) indices (traditional Reliable Digit Span [RDS], RDS-Working Memory [RDS-WM], RDS-Revised [RDS-R], and DS Age-Corrected Scaled Score [ACSS]) as embedded performance validity tests (PVTs) among a sample of 342 consecutive adults referred for neuropsychological evaluation of ADHD.…

This paper demonstrates that a teachable agent (TA) can play a dual role in an online learning environment (OLE) for learning by teaching--the teachable agent working as a synthetic peer for students to learn by teaching and as an interactive tool for cognitive task analysis when authoring an OLE for learning by teaching. We have developed an OLE…