This dissertation examines the efficacy of a professional development program in developing data literate and culturally proficient community college instructors. Existing research suggests that there is a need for high-quality professional development in Cultural Proficiency and data literacy for community college instructors to make continuous…

The purpose of this study was to examine the comparability of counts of embedded instruction learning trials when different methods of viewing and recording direct behavioral observations were used. In 13 classrooms, while videotaping embedded instruction implementation for a larger randomized controlled efficacy trial was occurring, teachers'…

Increasing numbers of students require internet access to pursue their undergraduate degrees, yet broadband access remains inequitable across student populations. Furthermore, surveys that currently show differences in access by student demographics or location typically do so at high levels of aggregation, thereby obscuring important variation…

Measuring change in an educational or psychological construct over time is often achieved by repeatedly administering the same items to the same examinees over time and fitting a second-order latent growth curve model. However, latent growth modeling with full information maximum likelihood (FIML) estimation becomes computationally challenging…

The Learning Initiatives for the Future of Education (LIFE) are outlined in this chapter with an introduction to the historical developments of education research at NIE. LIFE's aims and goals are to support NIE's vision as a future-ready institution up to 2025 underpinned by cultivating and being the custodian of enduring values even in a…

With technological advances, distance education has been frequently discussed in recent years. The learning environments used in this course usually generates a great deal of data because of the large number of students and the various tasks involving their interaction. In order to facilitate the analysis of the data, the authors researched to…

The proliferation of sports science and technological innovation within performance settings has precipitated the generation of increasing volumes of data to aid athletes. Copious data production has also perpetuated the privileging of scientific information, and a 'thirst' for 'more data' as an unproblematic 'truth'. Of significance is not merely…

Digital data are transforming higher education (HE) to be more student-focused and metrics-centred. In the UK, capturing detailed data about students has become a government priority, with an emphasis on using student data to measure, compare and assess university performance. The purpose of this paper is to examine the governmental and commercial…

To successfully reduce student attrition, it is imperative to understand what the underlying determinants of attrition are and which students are at risk of dropping out. We develop an early detection system (EDS) using administrative student data from a state and private university to predict student dropout as a basis for a targeted…

This systematic review is built on the seminal work by the New London Group in 1996. Few endeavours have synthesized findings of empirical studies pertaining to the effects and challenges of multiliteracies practices in various schooling and geographical contexts. Through a five-point Likert scale and a deductive and inductive thematic analysis,…

A core feature of Positive Behavioral Interventions and Supports (PBIS) is the collection, summary, and use of data for iterative decision-making. The initial design of support and the adaptations that make behavior support match cultural, organizational, and personal needs require that a support team have functional information to guide…

Accurate, timely data on student outcomes and post-graduate earnings is a critical piece of any state effort to close equity gaps in college access and success, boost attainment statewide, and strategically align education and workforce goals. Unfortunately, in the absence of a federal student-level data network, states and other key stakeholders…

Evaluation capacity building (ECB) is an essential element for generating credible and actionable evidence on Extension programs. This paper offers a discussion of ECB efforts in Cooperative Extension and how such efforts enable Extension professionals to collect and use credible and actionable evidence on the quality and impacts of programs.…

Demographic features are commonly used in Educational Data Mining (EDM) research to predict at-risk students. Yet, the practice of using demographic features has to be considered extremely problematic due to the data's sensitive nature, but also because (historic and representation) biases likely exist in the training data, which leads to strong…

Over the past few years, academics have undertaken initiatives to bridge the gap between theory and practice in the ever-growing field of business analytics, including implementing real-life student projects in all shapes and forms. Every year since 2015, Manhattan College has invited student teams from across North America and elsewhere in the…