Pyramidal training is an effective model for disseminating behavior analytic skills. However, pyramidal training in research is often conducted in controlled university settings. Further, research that has evaluated the effectiveness of pyramidal training in classroom settings (see Pence et al. 2014) often focuses on improving the use of one…

Background/purpose: This study aims to analyze students' ability to solve differential calculus problems in relation to their prior mathematical knowledge (PMK). Materials/methods: A qualitative research design method was employed. Participants in this study were 103 third-semester students at the university enrolled in the Differential Calculus…

Equity, Diversity, and Inclusion, also known as EDI, is one of several acronyms that refer to policies and practices of organizations, such as K to 12 school boards and post-secondary institutions, to promote inclusive and equitable environments. While EDI has become a ubiquitous discourse in educational administration, its impact extends into…

Purpose: Technology, such as artificial intelligence (AI), is transforming the way we work; however, it is yet to systemically transform learning at the workplace beyond augmentation of formal education's learning processes. This paper derives functional requirements for technologies that support workplace learning and assesses the suitability and…

The most important teaching and learning method in the architectural design studio (ADS) is the critique session, which is generally employed as an assessment tool. However, the traditional critique models which enjoy global acceptance and are the most applied teaching methods in ADS, are yet to attain their maximum potential. This assertion…

Fully-Latent Principal Stratification (FLPS) offers a promising approach for estimating treatment effect heterogeneity based on patterns of students' interactions with Intelligent Tutoring Systems (ITSs). However, FLPS relies on correctly specified models. In addition, multiple latent variables, such as ability, participation, and epistemic…

As educational technology (EdTech) grows in prominence, so does the urgency to test the efficacy of computer-based learning tools in the field. To answer this need, education researchers have conducted a large number of randomized controlled trials (RCTs) that generate high-quality evidence of EdTech effectiveness. The most important policy goal…

This research aimed (1) to evaluate a project-based learning model for enhancing computational science teaching skills of master teachers in Prachuap Khiri Khan Province, and (2) to assess the validity of a structured interview form designed to evaluate these teachers' computational science teaching skills. The target group consisted of five…

Predicting learner actions and intentions is crucial for providing personalized real-time support and early intervention in programming education. This approach enables proactive, context-aware assistance that is difficult for human instructors to deliver by foreseeing signs of potential struggles and misconceptions, or by inferring a learner's…

Purpose: This paper explores the integration of generative artificial intelligence (GenAI) into the Community of Inquiry (CoI) framework, focusing on how GenAI can dynamically personalize online learning environments. The study aims to examine how GenAI can enhance social, cognitive and teaching presence, thus meeting the diverse needs of…

Australia's Productivity Commission report, "A path to universal early childhood education and care" (2024), recommended a review of the National Quality Framework for early childhood education and care (ECEC) and increased funding to support regulatory activity. Evidence underpinning the report identified an imperative to improve the…

The models of E-learning Readiness (ELR) are basically designed to understand the process of obtaining the basic information necessary for measuring ELR among participants. They help organizations to identify the requirements for designing, developing and implementing E-learning. These models not only help the organizations to identify the degree…

Differential item functioning (DIF) often arises from multiple sources. Within the context of multidimensional item response theory, this study examined DIF items with varying secondary dimensions using the three DIF methods: SIBTEST, Mantel-Haenszel, and logistic regression. The effect of the number of secondary dimensions on DIF detection rates…

Universities face an uncertain funding environment and turbulent marketplace. Financial scenario modelling offers a potential mechanism to assist in navigating a way forward. Our previous paper on UK universities' practice found some variation in the sophistication of the approaches taken, but the overall impression was of a relatively simple…

Developing students' competence in algorithmic thinking is emerging as an objective of mathematics education, but despite its inclusion in mathematics curricula around the world, research into students' algorithmic thinking seems to be falling behind in this curriculum reform. The aim of this study was to investigate how the mathematical modelling…