Data is flexible in that it is molded by not only the features and variables available to a researcher for analysis and interpretation, but also by how those features and variables are recorded and processed prior to evaluation. "Big Data" from online learning platforms and intelligent tutoring systems is no different. The work presented…

Existing personalized learning systems (PLSs) have primarily focused on providing learning analytics using data from learners. In this paper, we extend the capability of current PLSs by incorporating data from instructors. We propose a latent factor model that analyzes instructors' preferences in explicitly "excluding" particular…

BKT and other classical student models are designed for binary environments where actions are either correct or incorrect. These models face limitations in open-ended and data-driven environments where actions may be correct but non-ideal or where there may even be degrees of error. In this paper we present BKT-SR and RKT-SR: extensions of the…

The last 20 years has seen an uptick in research on missing data problems, and most software applications now implement one or more sophisticated missing data handling routines (e.g., multiple imputation or maximum likelihood estimation). Despite their superior statistical properties (e.g., less stringent assumptions, greater accuracy and power),…

Recent federal policy changes have placed new requirements on states to demonstrate and document their efforts to improve access to high-quality early care and education (ECE), and have made clear the urgent need for a shared understanding of this concept. This guidebook was developed to address the need for developing a common understanding and…

Purpose: Novice researchers experience difficulties in analysing qualitative data. To develop the skills necessary for qualitative data analysis, theoretical manuals are often insufficient. Supervisors supporting students in analysing qualitative data stress the need for practical guidance, including exercises and feedback. The purpose of this…

This case study draws on my quantitative study of college entrance exam preparation (also known as "test prep") to illustrate how a researcher goes about setting up a quantitative project using existing datasets. I describe how I decided between two different datasets, a decision which required attention to how the research question was…

This report considers the use of a focus group as a data collection tool in early childhood research. The report outlines one researcher's experience, analyzing the difficulties of gaining meaningful data during focused group discussions, considering in some depth the impacts of careful management on the validity of the findings, providing…

This case study provides an overview of a conversation analysis study that examines how the management of talk is accomplished by a chairperson in a teachers' meeting. The case describes each of the various steps of the conversation analysis study from deciding on an initial research focus to collecting, transcribing, and analyzing the data. It…

In this case, I share my process of analyzing data in a multiple case study. The study looked at the interconnections between contexts, leadership, and educational equity to better understand how superintendents lead systems that offer equitable educational experiences for all students. Data included 16 one-on-one interviews with four…

The emerging large datasets have made efficient data processing a much more difficult task for the traditional methodologies. Invariably, datasets continue to increase rapidly in size with time. The purpose of this research is to give an overview of some of the tools and techniques that can be utilized to manage and analyze large datasets. We…

The growth in the availability of longitudinal data--data collected over time on the same individuals--as part of program evaluations has opened up exciting possibilities for evaluators to ask more nuanced questions about how individuals' outcomes change over time. However, in order to leverage longitudinal data to glean these important insights,…

Educators by definition are now required to utilize a variety of student data to shape the decisions they make and design the lessons they teach. As accountability standards become more stringent and as teachers face increasingly diverse student populations within their classrooms, they often struggle to adequately meet the needs of all learners.…

This research aims at determining educational values in families by describing the priority of the values selected in the educational value, the role of parents, and the socialization of values that were used by parents in educational values. This research is a case study with a qualitative approach. The subjects of the research were selected…

This study aims to present high school students' perception of "English" through the impressions and images and the effect of these perceptions on their motivation in learning English. This qualitative study is based on the data about students' metaphors and the focus group interview to determine their effect on the students' motivation.…