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…

This study aims to develop and validate a Constructivist Learning Environment Model to address secondary students' misconceptions in learning Science. Employing a Design and Development approach (Richey & Klein, 2007), the research is conducted in two phases. Phase 1 focuses on model design, drawing from an extensive literature review to…

We argue that college students' field-of-study choices significantly influence how economies respond to labor market disruptions. To do so, we develop and estimate a framework featuring forward-looking students who choose a field of study when entering college, and subsequently make decisions over occupations after graduating and entering the…

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…

It is assumed that in order to acquire a language, children must be exposed to a language during the critical period, which generally lasts until puberty. Here, we report on Cena, an emergent sign language that has developed among a small group of deaf people in an isolated town in the state of Piauí, Brazil. Starting three generations ago, it has…

This article explores institutional policies on artificial intelligence (AI) in higher education. As AI tools become increasingly utilized in academia--from research and teaching to assessment and student support--institutions face growing pressure to establish clear, ethical, and practical guidelines to help guide faculty. We examine existing…

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…

This study aimed to investigate common features and ways of understanding quality culture (QC) within higher education institutions (HEIs) in Nordic countries. While the concept of QC is commonly accepted and often used, its meaning is not always clear. This paper focuses on how Nordic universities frame QC in their internal documentation. The…

This study proposes a model of several dimensions through which products of teachers' context-based mathematics problem posing (PP) can be modified. The dimensions are Correctness, Authenticity, Task Assortment (consisting of Mathematical Diversity, Multiple Data Representations, Question-Answer Format, Precision-Approximation, and…

The importance of introducing students to mechanistic reasoning (MR) early in their schooling is emphasised in research. The goal of this case study was to contribute with knowledge on how early primary students' (9-10 year-olds) MR in chemistry is expressed and developed in a classroom practice framed by model-based inquiry. The study focuses on…

Identifying motivation for enrollment in MOOCs has been an important way to predict participant success rates. But themes for motivation have largely centered around themes for enrolling in any MOOC, and not ones specific to the course being studied. In this study, qualitatively coding discussion forums was combined with topic modeling to identify…

This activity aims to assist students with persuasive tactics for argumentative speeches. The activity involves students creating an argumentative speech to defend a hot-take assertion chosen from a list provided by the instructor. In small groups, students will craft an argument supporting their hot-take assertion and present it to the class.…