Collapsing categories is a commonly used data reduction technique; however, to date there do not exist principled methods to determine whether collapsing categories is appropriate in practice. With ordinal responses under the partial credit model, when collapsing categories, the true model for the collapsed data is no longer a partial credit…

Many instructional physics labs are shifting to teach experimentation skills, rather than to demonstrate or confirm canonical physics phenomena. Our previous work found that many students engage in questionable research practices in attempts to confirm the canonical physics phenomena, even when confirmation is explicitly not the goal of the lab.…

Purpose: Learning about sustainable development in dedicated curricula can be beneficial for students' personal and professional development and societies alike. However, for various reasons the implementation of sustainable development modules in existing curricula can be difficult in many fields of study. This paper aims to propose an…

This paper explores an Indigenous research methodology, the "tivaevae" model, and its application within the Cook Islands education system. The article will argue that the cultural values embedded within its framework allow for the successful implementation of this Indigenous methodology. The model draws from "tivaevae," or…

Researchers often include covariates when they analyze the results of randomized controlled trials (RCTs), valuing the increased precision of the estimates over the potential of inducing small-sample bias when doing so. In this paper, we develop a sufficient condition which ensures that the inclusion of covariates does not induce small-sample bias…

Research impact features heavily in debates about 'the measured university' and is now formally assessed by governments in the UK and Australia. Yet clear guidance on how impact can be measured in non-monetary ways is often lacking because of confused thinking and the context-specific nature of outcomes. To help resolve this, we first propose a…

This paper surveys the state of the art on prediction in MOOCs through a systematic literature review (SLR). The main objectives are: first, to identify the characteristics of the MOOCs used for prediction, second, to describe the prediction outcomes, third, to classify the prediction features, fourth, to determine the techniques used to predict…

As the evolution of information ecosystems has accelerated across higher education, learning commons have become iconic places celebrating the changing nature of student learning. These places have become important symbolic centres in higher education today, combining the goals of equitable education together with access to unprecedented layers of…

Our institutional approaches to problems in the changing global landscape of internationalized higher education are being challenged, and many scholars call for new approaches for understanding and addressing the complex problems we face (e.g., la paperson, 2017; Lee, 2021; Patel, 2016; Stein, 2019, 2020). The COVID-19 pandemic has sped up the…

Purpose: Higher education institutions (HEIs) face a number of challenges in effectively managing and reporting on sustainability information, such as siloes of data and a limited distribution of information. Business intelligence (BI) can assist in addressing the challenges faced by organisations. The purpose of this study was to propose a BI…

This article details a model for research and practice using video data for multidimensional purposes as part of a professional development school (PDS) partnership. The research methods described situate practitioners as leaders in a school working toward more inclusive school reform with support from PDS partners, including two…

Starting around 2000, research activity about sail training increased such that there is now sufficient research on the subject to constitute a foundation upon which an emerging body of literature can be identified. The literature has the potential to be utilized to influence program design, policy, theory, and practice--a growing area of youth…

This dissertation is aimed at investigating the impact of missing data and evaluating the performance of five selected methods for handling missing responses in the implementation of Cognitive Diagnostic Models (CDMs). The five methods are: a) treating missing data as incorrect (IN), b) person mean imputation (PM), c) two-way imputation (TW), d)…

Assessment has been defined as an authentic method that plays an important role in evaluating students' learning attitude in acquiring lifelong knowledge. Traditional methods of assessment including the Computer-Aided Assessment (CAA) for mathematics show limited ability to assess students' full work unless multi-step questions are sub-divided…

The purpose of this ITEMS module is to provide an introduction to differential item functioning (DIF) analysis using mixture item response models. The mixture item response models for DIF analysis involve comparing item profiles across latent groups, instead of manifest groups. First, an overview of DIF analysis based on latent groups, called…