The four-component instructional design model (4C/ID) has been increasingly used in face-to-face and online learning environments. We present a meta-analysis on the use and effect on performance of educational programs developed with the 4C/ID model after more than 20 years of its application and research in different academic areas and technical…

This article addresses the issue of the disciplinary status of Educational Studies, which both in the theoretical discourse and in the practice of this area is far from unambiguous. The issue is relevant not only for theoretical reasons but also for practical and social ones. This is because the status of Educational Studies, by having a decisive…

Intelligent tutoring systems are effective for improving students' learning outcomes (Pane et al. 2013; Koedinger and Anderson, "International Journal of Artificial Intelligence in Education," 8, 1-14, 1997; Bowen et al. "Journal of Policy Analysis and Management," 1, 94-111 2013). However, constructing tutoring systems that…

Detection methods for item preknowledge are often evaluated in simulation studies where models are used to generate the data. To ensure the reliability of such methods, it is crucial that these models are able to accurately represent situations that are encountered in practice. The purpose of this article is to provide a critical analysis of…

This article posits the importance of viewing leadership development in engineering through an identity lens. The model presented shows the development of an engineering leadership identity at the intersection of engineering and leadership identities and explores that development through the findings from two national surveys with additional…

This article presents a standards-aligned, strategy-driven leadership development model for equipping engineering students with skills to appreciate differences in the workplace and to collaborate and lead inclusively.

Evaluating novelty in design education is subjective and generally depends on expert's referential metrics. Presently, practitioners in this field perform subjective evaluation of answers of prospective students, but many a time, humans are prone to errors when associated with repetitive tasks on large-scale. Therefore, this paper attempts to…

Although using machine learning for predicting which students are at risk of failing a course is indeed valuable, how can we identify which characteristics of individual students contribute to their being At-Risk? By characterising individual At-Risk students we could potentially advise on specific interventions or ways to reduce their probability…

Researchers agree that for children who attend early care and education programs, high-quality early learning experiences are critical for promoting academic, social-emotional, and executive function skills, particularly for children of color and children from families with low incomes. Rigorous research testing the effects of interventions to…

Despite popular myths related to the design and development of an online course, the endeavor is rather complicated. Universal Course Shell Templates (UCSTs) can alleviate teachers' workload, support teachers in taking pedagogically sound decisions, and assist students in their engagement with the course. The study begins with a review of the…

Proper institutional planning requires accurate enrollment forecasts. This is especially true in the community college context given open enrollment policies and reliance on public funds. Despite the importance of this task, enrollment forecasts are relatively disconnected from theoretical advances in the study of retention and enrollment. In this…

This paper, while conceptual in nature, is informed by both research and practice. Exploring the "engagement interface" as the site for student engagement (SE), we offer a conceptual contribution in engaging with the Kahu and Nelson (2018) model by bringing in a fuller understanding of SE grounded in the higher education context rather…

The context of this research aims to analyse the effects of entrepreneurial creativity (EC) empirically on entrepreneurial intention through structural equation modelling by proposing and testing the model that has been developed previously developed. The goal of this study is to understand some of the determinants of entrepreneurial intention…

In this digital ITEMS module, Dr. Stella Kim provides an overview of multidimensional item response theory (MIRT) equating. Traditional unidimensional item response theory (IRT) equating methods impose the sometimes untenable restriction on data that only a single ability is assessed. This module discusses potential sources of multidimensionality…

The research background rests on the shortcomings of existing electronic business development models. The main aspects of the framework for e-business development as a prerequisite for sustainable competitive advantage are based on an analysis of scientific literature on sustainable competitive advantage and electronic business development. The…