The purpose of this dissertation is to develop principles and strategies for and identify limitations of multisite cluster randomized trials in the context of partially and fully nested designs. In the first study, I develop principles of estimation, sampling variability, and inference for studies that leverage multisite designs within the context…

Based on his experience during the past two decades of research, teaching, and administration in a department composed of Accounting and Information Systems, the author makes several observations as well as some predictions for the next two decades based on trends that suggest accounting students need strong technology and analytics skills, as…

The computational model of school achievement represents a novel approach to theorizing school achievement, conceptualizing educational interventions as modifications to students' learning curves. By modeling the process and products of educational achievement simultaneously, this tool addresses several unresolved questions in educational…

Managers are increasingly being tasked with overseeing data-driven projects that incorporate prescriptive and predictive models. Furthermore, basic knowledge of the data analytics pipeline is a fundamental requirement in many modern organizations. Given the central importance of analytics in today's business environment, there is a growing demand…

The article is in the second phase of research is about "the big data architecture for pre-teacher preparation supply chain with prescriptive analytics of higher education in Thailand". The objectives of the study were (1) to study the pre-teacher preparation supply chain in Thailand, (2) to develop a model the big data system for the…

Researchers have argued that writing skills have significant implications for developing reading skills. A growing body of research has provided evidence that writing skills, in particular invented spelling, provide unique predictive information regarding future reading skills. This study examined which preschool early writing skills (i.e., name…

With the popularity of online one-to-one tutoring, there are emerging concerns about the quality and effectiveness of this kind of tutoring. Although there are some evaluation methods available, they are heavily relied on manual coding by experts, which is too costly. Therefore, using machine learning to predict instruction quality automatically…

The complexity of gear concepts, often misunderstood by young children, highlights the need for educational frameworks beyond simple play. To examine the effects of using the prediction, observation, and explanation (POE) model in building block activities, a true experimental design was implemented. A total of 49 preschoolers were randomly…

This dissertation aims to find a correlation between collective teacher efficacy (CTE) and student achievement. Through a quantitative study, the researcher collected data from teachers in high- performing, low socioeconomic elementary schools, specifically those identified as Title I Distinguished Schools in a state in the southeastern region of…

This study elaborates on the pivotal roles of mathematical and statistical models in data-driven predictions in an integrated STEM context using the case of Year 4 students: (?) "a descriptive means" to describe the features of trends and variability of data and (?) "an explanatory means" to explain causal relationships behind…

Self-directed learning (SDL) is a basic individual ability in modern society. It is of great value to explore SDL and its relationship to learners' online learning effectiveness. This study explored the relationships among online learners' personality traits (neuroticism and extraversion), SDL (SDL-approach and SDL-attitude), and perceived online…

In order to promote the growth of contemporary music and the reform of music, this article designs an improved collaborative filtering (CF) algorithm to solve the problem of sparse matrix in traditional recommendation algorithms. The data matrix is dimensionally reduced to find the nearest neighbor, so as to realize personalized recommendation of…

Instructional leaders require timely and predictive data to guide post-pandemic systemic changes. We investigated the predictability of an observational instrument, the Rigor Appraisal, and its association with achievement and other school effectiveness measures in a sample of 53 schools in Illinois. We found that increases in the Rigor Appraisal…

Self-regulated learning (SRL) is an essential skill to achieve one's learning goals. This is particularly true for online learning environments (OLEs) where the support system is often limited compared to a traditional classroom setting. Likewise, existing research has found that learners often struggle to adapt their behaviour to the…

One of the basic tenets of predictive theories of language processing is that of misprediction cost. Post-N400 positive event-related potential (ERP) components are suitable for studying misprediction cost but are not adequately described, especially in older adults, who show attenuated N400 ERP effects. We report a secondary analysis of a…