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McAlevey, Lynn G.; Stent, Alan F. – International Journal of Mathematical Education in Science and Technology, 2018
The treatment of kurtosis in textbooks is both sparse and contradictory with applications rarely discussed. To address this, an easily understood definition of kurtosis is introduced and important applications are demonstrated. Two different approaches to teaching kurtosis are presented based on a financial application.
Descriptors: Statistical Distributions, Undergraduate Students, Probability, Statistical Data
Nguyen, Andy; Gardner, Lesley A.; Sheridan, Don – British Journal of Educational Technology, 2018
This paper proposes a systematic framework to integrate learning analytics into serious games for people with intellectual disabilities. Serious games for an inclusive learning environment need to be prudently designed with adaptive and measurable competencies to meet the needs of the target users. The recent emergence of learning analytics…
Descriptors: Models, Intellectual Disability, Inclusion, Educational Technology
Richards, K. Andrew R.; Hemphill, Michael A. – Journal of Teaching in Physical Education, 2018
The purpose of this article is to provide an overview of a structured, rigorous approach to collaborative qualitative analysis while attending to challenges associated with working in team environments. The method is rooted in qualitative data analysis literature related to thematic analysis, as well as the constant comparative method. It seeks to…
Descriptors: Qualitative Research, Data Analysis, Guidelines, Guides
Kalkan, Ömür K.; Kelecioglu, Hülya; Basokçu, Tahsin O. – International Education Studies, 2018
The application of CDMs to fraction subtraction data revealed problems on the classification of examinees, latent class sizes, and the use of higher-order models. Additionally, selecting the most appropriate model assumes critical importance if there are several appropriate models available for the data. In the present study, DINA-RDINA and…
Descriptors: Comparative Analysis, Models, Item Response Theory, Multivariate Analysis
Datnow, Amanda; Park, Vicki – Journal of Educational Change, 2018
Ensuring equitable opportunities and outcomes for all students is a top priority of many educators and policymakers across the globe. Data use can be an important lever for achieving equity, but how this can occur is not well understood. In this article, we draw upon knowledge gained in a decade of in-depth qualitative research to examine the ways…
Descriptors: Qualitative Research, Data, Outcomes of Education, Educational Improvement
Muslim, Arham; Chatti, Mohamed Amine; Bashir, Muhammad Bassim; Barrios Varela, Oscar Eduardo; Schroeder, Ulrik – Journal of Learning Analytics, 2018
Open Learning Analytics (OLA) is an emerging concept in the field of Learning Analytics (LA). It deals with learning data collected from multiple environments and contexts, analyzed with a wide range of analytics methods to address the requirements of different stakeholders. Due to this diversity in different dimensions of OLA, the LA developers…
Descriptors: Data Analysis, Learning, Models, Design
Kraftl, Peter – Research in Education, 2018
This article outlines and critically reflects upon four tensions--framed as "double-binds'--in new materialist scholarship on childhood and education. Firstly, I tackle arguments about data and the role of the researcher in studies of education, which I reframe as a question of intentionality. Secondly, I critically consider debates about the…
Descriptors: Educational Research, Philosophy, Data, Educational Researchers
Ertugrul, Irfan; Öztas, Tayfun – International Journal of Assessment Tools in Education, 2018
Data Envelopment Analysis (DEA) is one of the most widely used efficiency measurement techniques in the literature. In the method developed by Charnes, Cooper, and Rhodes, the relation between input(s) and output(s) is examined and relative efficiency values are obtained for many decisionmaking units. In order to be able to accurately measure the…
Descriptors: Efficiency, Measurement Techniques, Data Analysis, Input Output Analysis
Schmidtke, Jens – Studies in Second Language Acquisition, 2018
It has been known since at least the 1960s that small changes in pupil diameter in response to a mental task are indicative of processing effort associated with this task. More recently, with the advent of modern eye-trackers, which also measure the pupil diameter, pupillometry has been "rediscovered" by language researchers and the…
Descriptors: Eye Movements, Language Research, Second Language Learning, Research Design
Hwang, Mark – e-Journal of Business Education and Scholarship of Teaching, 2018
The purpose of this teaching case is to develop a hands-on exercise on graph processing using a hybrid system. The paper provides a background on graph databases and how graph processing is supported in a hybrid system, SAP HANA. It also details step-by-step instructions on how to create, modify, and process a graph database using SAP HANA. The…
Descriptors: Graphs, Databases, Programming Languages, Mathematics
Francis, Raymond W.; Deschaine, Mark E. – Online Submission, 2018
One of the largest challenges in educator preparation in higher education is the effective use of data for actionable and meaningful decision making about programs for current and future educators, administrators, and educational leaders. Within programs there are many types of students. These may include elementary, secondary, special education,…
Descriptors: Scaling, Comparative Analysis, Preservice Teacher Education, Data
Chaudhry, Ritwick; Singh, Harvineet; Dogga, Pradeep; Saini, Shiv Kumar – International Educational Data Mining Society, 2018
Interactive learning environments facilitate learning by providing hints to fill the gaps in the understanding of a concept. Studies suggest that hints are not used optimally by learners. Either they are used unnecessarily or not used at all. It has been shown that learning outcomes can be improved by providing hints when needed. An effective…
Descriptors: Student Behavior, Prediction, Models, Intelligent Tutoring Systems
Yang, Yang – International Journal of Adult Vocational Education and Technology, 2016
Q methodology is a method to systematically study subjective matters such as thoughts and beliefs on any given topic. Q methodology can be used for both theory building and theory testing. The purpose of this paper was to give a brief overview of Q methodology to readers with various backgrounds. This paper discussed several advantages of Q…
Descriptors: Q Methodology, Mixed Methods Research, Qualitative Research, Statistical Analysis
Lohrer, Johannes-Y.; Kaltenthaler, Daniel; Kröger, Peer – International Association for Development of the Information Society, 2016
In this paper, we describe a framework for data analysis that can be embedded into a base application. Since it is important to analyze the data directly inside the application where the data is entered, a tool that allows the scientists to easily work with their data, supports and motivates the execution of further analysis of their data, which…
Descriptors: Data Analysis, Expertise, Models, Evaluation Methods
Lisa Kervin; Jessica Mantei; Kylie Lipscombe – Sage Research Methods Cases, 2016
Classrooms are complex environments. Ethnography can help researchers understand these complexities as they gather information by watching and talking with people, reading available reports and records and mapping out the environment. This case adds to existing literature on ethnography as we share our own experiences of what we refer to as…
Descriptors: Ethnography, Research Methodology, Case Studies, Educational Research