Research suggests that supportive programmatic structure can assist online doctoral student success, including time to complete the dissertation. However, completely online doctoral students have unique characteristics and needs and are underrepresented in the research literature; therefore, research exploring programmatic factors as related to…

This study explores the use of Large Language Models (LLMs), specifically GPT-4, in analysing classroom dialogue--a key task for teaching diagnosis and quality improvement. Traditional qualitative methods are both knowledge- and labour-intensive. This research investigates the potential of LLMs to streamline and enhance this process. Using…

Automatic machine learning (AutoML) methods automate the time-consuming, feature-engineering process so that researchers produce accurate student models more quickly and easily. In this paper, we compare two AutoML feature engineering methods in the context of the National Assessment of Educational Progress (NAEP) data mining competition. The…

Morality and ethics are two instrumental facets within academia. Often however, with increasing federal, state, and local mandates, educational administration loses sight of these two criteria (Kowalski, 2008). Greenleaf (2010/1977), countering this dilemma, established a visionary leadership-style known as Servant-Leadership, wherein the leader…

A common hypothesis is that students will more deeply understand dynamic systems and other complex phenomena if they construct computational models of them. Attempts to demonstrate the advantages of model construction have been stymied by the long time required for students to acquire skill in model construction. In order to make model…

Many studies have explored the contribution of different factors from diverse theoretical perspectives to the explanation of academic performance. These factors have been identified as having important implications not only for the study of learning processes, but also as tools for improving curriculum designs, tutorial systems, and students'…

Social studies at the middle-level represented a marginalized discipline in South Carolina. Although it was integrated into the state's accountability testing agenda and weighted equally with English, math, and science content in state school and district report card rating calculations, differences exist in the amount of time allocated for social…

Examined developmental changes in time estimation among 5- to 99-year olds. Found that older adults and young children performed at lower levels than young adults; identified qualitative differences in error patterns of older adults and children. Proposed model of temporal generalization and bisection assuming developmental changes in noisiness of…

The following models targeting at-risk elementary students are compared for cost: (1) Success for All (Robert Slavin), (2) Accelerated Schools (Henry Levin), and (3) School Development Program (James Comer). The Slavin model is the most costly in expenditure, and the Levin model requires the most additional staff time. (SLD)

The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…