Machine learning (ML) techniques have been successfully applied to a wide array of applications. This dissertation aims to take application data handling into account when developing ML-based solutions for real-world problems through a holistic framework. To demonstrate the generality of our framework, we consider two real-world applications: spam…

During the COVID-19 pandemic, education systems policymakers realized the importance of being able to communicate using technology and to fulfill their academic obligations. As a consequence, a different approach to education followed: blended learning. A literature review revealed a lack of psychometric tools related to blended teaching readiness…

Enabling college graduates to achieve career success is increasingly considered a major responsibility of universities. Many studies have developed models of predicting students' career decisions and have sought to provide appropriate treatments or early support for students to achieve this goal. Most studies, however, have focused on using…

The COVID-19 pandemic has significantly influenced substance prevention work, exacerbating existing challenges and providing new opportunities for community-based substance prevention networks (CSPNs). CSPNs are interorganizational networks that include various providers, such as nonprofits and government agencies, that collaborate to provide…

In online surveys, the use of manipulation checks aimed at measuring respondents' attentiveness has become common. More than being measures of attentiveness pertaining to a specific survey, instructional manipulation checks (IMC) could work as generic measures of the quality of the answers a person gives when completing a questionnaire. By using…

The use of information and communication technology-based data systems to support teachers in data-driven decision-making (DDDM) remains limited. Despite the growing number of data systems available, their uptake remains limited, and there is a limited understanding of what data system characteristics increase and factors that influence teacher…

The purpose of this paper is to share insights gained from the discovery, design, and delivery phases of creating a three-tiered model of non-academic learning support in open, distance, and flexible learning (ODFL): "Learner Engagement and Success Services (LESS)", at Open Polytechnic | Te Pukenga, New Zealand. Presented as a case…

For the first time in history, public schools have closed across the country, and students have been receiving instruction from their homes. But in their new role as educators, parents have been largely flying blind in their efforts to ensure that students are on track for success. This problem is not new: parents have always needed to be informed…

A gap in practice at CES Elementary School (pseudonym) was the lack of data driven instructional decision making that contributed to the problem of low school scores on the State of Texas Assessments of Academic Readiness (STAAR). Low STAAR scores have negatively impacted student, teacher, and administrator retention. Unsuccessfully, data chats…

The aim of this quantitative research is to analyze the impact of Facebook in the teaching-learning process in financial mathematics education, using data science, machine learning, and neural networks. The sample is composed of 46 students from the Bachelor of Administration, Commerce and Marketing program at La Salle University. The results of…

The patient portal is an electronic repository of health information, including doctor's notes, laboratory test results, and diagnostic imaging reports. There are limited studies that explore how individuals make sense of their health information, and use that understanding to increase health literacy. Education leaders should consider the ways…

College students have a better chance of succeeding in school when they receive high-quality advising. High-quality advising, when characterized by frequent communications between advisers and students, early outreach to students showing signs of academic or nonacademic struggles, and personalized guidance that addresses individual student needs,…

Each year, the Interagency Autism Coordinating Committee (IACC) releases a list of scientific advances that represent significant progress in the field of autism research. The "Summary of Advances" provides short, plain language summaries of the top research breakthroughs selected by the IACC from a pool of research articles nominated by…