Learner behaviours often provide critical clues about learners' cognitive processes. However, the capacity of human intelligence to comprehend and intervene in learners' cognitive processes is often constrained by the subjective nature of human evaluation and the challenges of maintaining consistency and scalability. The recent widespread AI…

Purpose: This study aims to address the following objectives: determine the pro-environmental behavior of students and professors engaged in the course Sustainable Tourism; determine the pro-environmental behavior component of the professor that has the highest influence on the pro-environmental behavior of students; and formulate a model…

As educational technology advances, the role of artificial intelligence (AI) in enhancing language education becomes increasingly prominent. However, there is a scarcity of empirical research assessing how AI integration influences student engagement and contributes to the language learning performance. This mixed-methods study seeks to fill the…

Background: Academic help-seeking benefits students' achievement, but existing literature either studies important factors in students' selection of all help resources via self-reported surveys or studies their help-seeking behavior in one or two separate help resources via actual help-seeking records. Little is known about whether computing…

This pilot study evaluated the effects of a mindfulness-based intervention (MBI) on teacher stress and coping as well as students' prosocial classroom behavior. This study also explored the implementation fidelity and social validity of this MBI with teachers. This study used a single-case multiple baseline design across four elementary teachers.…

Objective: This study aimed to examine college students' perceived mental health and help-seeking behaviors during the COVID-19 pandemic, as well as to determine the roles of campus mental health climate and institutional support on students' help-seeking behaviors and well-being. Participants: The sample included 123 students from a Northeastern…

Using thematic analysis and the Theory of Practice Architectures (TPA), this study assessed educator perceptions of the 2022 criminalisation of providing or advertising contract cheating (CC) services in the United Kingdom (UK). Semi-structured interviews were conducted with ten participants from ten different UK-based Higher Education…

Feedback literacy is gaining recognition as a key concept for understanding how engage with and learn from feedback in higher education. This study presents validity evidence for a refined version of the Student Feedback Literacy Instrument (SFLI), designed to measure the construct across two dimensions--feedback attitudes and feedback…

This research investigates whether academic integrity can be strengthened through a holistic educative approach that combines compulsory modules on academic integrity, pedagogy that challenges punitive approaches, and an embedded curriculum. We present quantitative and qualitative data from surveys and interview responses from students to…

Learners' challenging behaviour is a growing concern in primary schools. Reports reveal that many learners in South African primary schools are presenting with challenging behaviour - disrupting lessons, causing chaos, putting learners' and teachers' safety at risk, and interrupting school functionality. To understand this phenomenon, a systematic…

This study proposes and validates a sequential digital-physical-psychological (DPP) pathway model to explain how social media use facilitates international students' cross-cultural adaptation through behavioral and psychological mediation. Building on media system dependency theory and social learning theory, the model posits that digital…

Feature engineering plays a critical role in the development of machine learning systems for educational contexts, yet its impact on student trust remains understudied. Traditional approaches have focused primarily on optimizing model performance through expert-crafted features, while the emergence of AutoML offers automated alternatives for…

This paper describes the evaluation of one year of infant/early childhood mental health consultation (IECMHC) in subsidized early care and education settings provided by the New York City Early Childhood Mental Health Network. The evaluation examined direct and indirect outcomes of IECMHC including (1) improved classroom practices by ECE teachers,…

Artificial intelligence (AI) is currently leading an industrial revolution in most aspects of human life, and education is no exception. With the increasing ratio of students to faculty, AI could be an extremely beneficial tool for individual mentoring; for example, for cases of dropout and for student retention. While many models have already…

Dissemination and evaluation of the PAX Good Behavior Game (PAX GBG) have produced a body of published and unpublished literature that, if mapped, can provide valuable insights for future expansion and evaluation efforts. Conducting a scoping review of implementation and dissemination studies and gray literature (i.e., "sources"), we…