Constructing personalised and effective online language learning models based on individual personality differences is crucial in the field of education. However, there is little research on how to apply these models to students in science and engineering who have varying personality profiles. This study aimed to assess the validity of the Online…

In this study, the 8th grade secondary school mathematics textbook approved by the ministry in Turkey was compared with the mathematics textbooks in France and the USA in terms of the use of the multiple representation method in the probability learning domain. Document analysis, one of the qualitative research methods, was used in the study, and…

Scientific modeling is a vital educational practice that helps students apply scientific knowledge to real-world phenomena. Despite advances in AI, challenges in accurately assessing such models persist, primarily due to the complexity of cognitive constructs and data imbalances in educational settings. This study addresses these challenges by…

The literature regarding K-12 student experiences in physical education (PE) has long identified issues regarding curriculum and social justice. While the multi-activity (MA) or physical-education-as-sport techniques approach continues to be used in many PE programs around the world, the Tactical Games (TG) model has been shown to be effective in…

Knowledge tracing models have enabled a range of intelligent tutoring systems to provide feedback to students. However, existing methods for knowledge tracing in learning sciences are predominantly reliant on statistical data and instructor-defined knowledge components, making it challenging to integrate AI-generated educational content with…

The growing need for automated and personalized feedback in programming education has led to recent interest in leveraging generative AI for feedback generation. However, current approaches tend to rely on prompt engineering techniques in which predefined prompts guide the AI to generate feedback. This can result in rigid and constrained responses…

As the repercussions from post-pandemic normative management continue, digital information and communication technologies have become widely integrated into teaching and learning across ages and environments. Most countries prioritize developing student media literacy to equip them for a digitalized society and diverse educational environments.…

In this paper I share the theorising behind the development of a model for possible use by instrumental and vocal teachers to assist with the structuring of student practice. The model is a component of a current doctoral research project investigating how school age piano students respond to a particular approach to practice underpinned by the…

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.…