The purpose of this study is to investigate whether the implementation of a belongingness strategy positively influences student performance in an online higher education environment. Belonging is defined as a student's sense of being accepted, respected, encouraged and supported in their college environment by both peers and faculty. This study's…

Using the High School Longitudinal Study of 2009, the association between high school exit exams and mathematics course-taking patterns is explored. Exit exams are linked to a decreased likelihood of students taking upward-bound mathematics during their four years of high school. Exit exams are also associated with fewer mathematics credits…

The study examined how, in the current context of reading reform, teachers' beliefs coalesced and aligned with prevailing paradigms of reading instruction (Science of Reading, Balanced Literacy, and Whole Language). The sample included 14 graduate students (in-service teachers) and 13 undergraduate students (pre-service teachers). Q Methodology…

Gifted education has been recognised as a fractured field that can be categorised using varying paradigmatic approaches. Over the past thirty years, Gagne's Differentiated Model of Giftedness and Talents (DMGT) has maintained a strong influence in Australia, which means that the paradigmatic assumptions that are present in this model have shaped…

Purpose: This study leverages social network analysis (SNA) to visualise the way students interacted with online resources and uses the data obtained from SNA as features for supervised machine learning algorithms to predict whether a student will successfully complete a course. Design/methodology/approach: The exploration and visualisation of the…

In the fall of 2021, the National Institute for Excellence in Teaching (NIET) began partnering with districts in Texas­ with the goals of increasing educator effectiveness and improving student achievement. The partnership, Texas IMPACT (Improving Management Systems for Principals and Classroom Teachers), is supported by a Teacher and School…

The Cognition and Exploratory Learning in the Digital Age (CELDA) conference focuses on discussing and addressing the challenges pertaining to the evolution of the learning process, the role of pedagogical approaches and the progress of technological innovation, in the context of the digital age. In each edition, CELDA, gathers researchers and…

Data in social and behavioral sciences typically contain measurement errors and also do not have predefined metrics. Structural equation modeling (SEM) is commonly used to analyze such data. This article discuss issues in latent-variable modeling as compared to regression analysis with composite-scores. Via logical reasoning and analytical results…

Community colleges provide broad access to a college degree due to their less expensive tuition, greater course time offerings, and more open admission policies compared to four-year universities as reported (Juszkiewicz, 2015). These institutions have great potential to diversify who chooses STEM, such as engineering. Such diverse representation…

Machine learning (ML) models are fundamentally shaped by data, and building inclusive ML systems requires significant considerations around how to design representative datasets. Yet, few novice-oriented ML modeling tools are designed to foster hands-on learning of dataset design practices, including how to design for data diversity and inspect…

Despite the growing interest in incorporating response time data into item response models, there has been a lack of research investigating how the effect of speed on the probability of a correct response varies across different groups (e.g., experimental conditions) for various items (i.e., differential response time item analysis). Furthermore,…

Studying the factors that affect the e-learning adoption is not a new research topic. Nevertheless, exploring the effect of knowledge acquisition and knowledge sharing on e-learning adoption is a relatively new research trend that has not been featured in the existing literature. Thus, this study was conducted to build a new model by extending the…

In applications of item response theory (IRT) models, it is known that empirical violations of the local independence (LI) assumption can significantly bias parameter estimates. To address this issue, we propose a threshold-autoregressive item response theory (TAR-IRT) model that additionally accounts for order dependence among the item responses…

While a growing body of research examines teachers' facilitation of discourse-rich classrooms, surprisingly little research is devoted to learners' responsibilities in such classrooms. In this paper, we share a theoretical model for explaining students' responsibilities in yielding mathematical learning in discourse-rich classrooms. These…

Over the last twenty years, tertiary education in Australia has radically changed. Major growth in the sector and federal government policy and funding changes have resulted in an increase of providers and a diversification of the quality of education available on the market, particularly in vocational education. Although change presents…