Imitated misbehaviours as a prevalent form of interaction between children often disrupt their classroom experiences. Teachers, being the authority figure in the classroom, are expected to manage imitated misbehaviours and create a classroom climate that can positively influence the children. In line with this, this study analyses the conceptions…

Research in the field of gifted and talented has significantly shifted in recent years to focus on broader conceptualizations of the construct, including performing arts, creativity, and leadership. Yet, it is not clear how states conceptualize and identify students as gifted and talented given the last review of state gifted and talented…

Background/purpose: Mobile learning (M-learning) has become a crucial component of higher education due to the increasing demand for flexible and adaptive learning environments. However, ensuring personalized and effective M-learning experiences remains a challenge. This study aims to enhance M-learning effectiveness by introducing an AI-driven…

Background/purpose. Innovative thinking and meta-skills are needed to solve difficult problems in the 21st century, but standard training techniques often fail. The fact that only 6% of pupils are innovative thinkers highlights a major educational gap. The GENICS learning approach (Grouping, Exploring, Discussion, Individual Activity, Combining,…

Clustering methods are often used in physics education research (PER) to identify subgroups of individuals within a population who share similar response patterns or characteristics. Among these, k-means (or k-modes, for categorical data) is one of the most commonly used clustering methods in PER. This algorithm, however, is distance-based rather…

This study examined student engagement in sixth-grade science using the 5E Learning Model. A qualitative research approach was used to explore the effectiveness of the 5E learning model compared to the inquiry-based learning model used to integrate STEM within the sixth-grade science classroom. Data was gathered through observations, time on task,…

This paper explores the production and performance of male primary early career teachers' (ECTs) dialogic identities within the feminized world of the primary school. Combining a 'Figured Worlds' lens with 'gender heteroglossia' supports a discourse analysis of five male primary teachers' narratives of becoming and being a teacher in the UK.…

As Hispanic-serving institutions (HSIs) continue to expand across the United States, there is an even greater need for faculty at HSIs to engage with the construct of servingness to advance Latinx student success. Yet, there is very little research that points to professional development for faculty to understand what servingness means and how to…

This article examines the implementation of a holistic, student-centered framework known as TEAM Student at Lee Roy Myers Middle School. Through intentional relationship-building, mentorship, family engagement, and targeted academic support, the school has increased student success and community involvement. The model's effectiveness is…

While online learning is often criticised for its lack of interactivity, H5P technology has been widely adopted in online learning environments (OLE) to facilitate learning engagement. Although comprehensive research has been conducted to examine the practical effectiveness of H5P, there is limited understanding of students' intention to use the…

This paper develops and estimates an empirical framework that evaluates the impact of charter school choice on education quality in the aggregate. We estimate the model using student-level data from North Carolina. We find that North Carolina's lifting of its statewide charter school cap raised the average public school's value-added by around…

We propose an innovative, effective, and data-agnostic method to train a deep-neural network model with an extremely small training dataset, called VELR (Voting-based Ensemble Learning with Rejection). In educational research and practice, providing valid labels for a sufficient amount of data to be used for supervised learning can be very costly…

Statistical knowledge is required for students in a range of disciplines. However, there are limited educator resources that exist for applying statistics to solve real-world problems. This investigation provides one approach to teaching statistics using entrepreneurial-minded learning (as a way to connect real-world applications and value…

Drawing upon the social network theory and social cognitive theory, this research proposes a model that assesses team performance from the mediating aspect of knowledge application, which represents a team's learning process whereby an effective retrieval mechanism enables the team to access knowledge. In the model, team performance relates to…

As universities around the world have begun to use learning management systems (LMSs), more learning data have become available to gain deeper insights into students' learning processes and make data-driven decisions to improve student learning. With the availability of rich data extracted from the LMS, researchers have turned much of their…