Functional Data Analysis (FDA) has attracted substantial attention for the last two decades. Within FDA, classifying curves into two or more categories is consistently of interest to scientists, but multi-class prediction within FDA is challenged in that most classification tools have been limited to binary response applications. The functional…

Since data collection technologies has become a part of daily life, measurement and data requirements now permeate many state mathematics standards, beginning as early as kindergarten and extending through high school. For example, the Standards for Mathematical Content, recommend that kindergarteners "describe and compare measurable…

The purpose of this research was to build a classification model and to measure the correlation of self-efficacy with visual-verbal preferences using data mining methods. This research used the J48 classifier and linear projection method as an approach to see patterns of data distribution between self-efficacy and visual-verbal preferences. The…

A secondary analysis of data from the National Longitudinal Transition Study--2 (NLTS2) was conducted to examine predictors associated with improved postschool community participation of young adults with severe disabilities. Multidimensional item response theory was used to establish criterion and predictor constructs and examine predictive…

Learning and participation are inseparable in online environments. To improve online learning, much effort has been devoted to encouraging online participation. However, previous research has investigated participation from a variable-based perspective, looking only for relationships between participation and other variables. Time can change and…

This Assessment News article introduces readers to a statistical approach to making sense of student assessment data in order to help teachers understand whether or not changes in practice have made a difference to learning. It Worked! is the brainchild of Darcy Fawcett, HoD Science at Gisborne Boys' High School, and Across-School Teacher for the…

A recurring debate in mixed methods research involves the relationship between research methods and research paradigms. Whereas some scholars appear to assume that qualitative and quantitative research methods each necessarily belong with particular research paradigms, others have called for greater flexibility and have taken a variety of stances…

New technologies and the knowledge economy are destabilising graduate professions, with artificial intelligence and the analysis of 'big data' making significant impacts on formerly secure jobs. Blockchain technology, offering automated secure credentialling of undergraduate students' activities and achievements, may significantly erode existing…

Qualitative methods help us understand context, explore new phenomena, identify new research questions, and uncover new models of change. To better understand how researchers in health education and health behavior use qualitative methods, we reviewed qualitative articles published in "Health Education & Behavior" from 2000 to 2015.…

Education is the core of the factors that improved people for a better lifestyle and increases the level of society' development. Quality education is one of the most vital goals of Sustainable Development Goals (SDGs) due to actualizing these factors. Using relational network data envelopment analysis (DEA), which have three interrelated…

High demand exists for data to analyze the equitable distribution of school funding within and across school districts. In response to this growing demand, the National Center for Education Statistics (NCES) developed a new collection of finance data at the school level--the School-Level Finance Survey (SLFS). The SLFS collects at the school level…

This paper describes a method for pooling grouped, ordered-categorical data across multiple waves to improve small-sample heteroskedastic ordered probit (HETOP) estimates of latent distributional parameters. We illustrate the method with aggregate proficiency data reporting the number of students in schools or districts scoring in each of a small…

This 50-State Comparison assesses the capacity of all 50 states and the District of Columbia to aggregate and report on arts education data already housed in statewide education data systems. This interactive resource focuses on key arts education questions identified in "Using State Data Systems to Report Information on Arts Education"…

Effective communication requires a good message delivered through an effective channel and received by a receptive individual. When that communication is successful, the result is enhanced credibility and trust between the sender and the receiver. Telling the Extension story effectively requires both relevant, credible data to compose a clear…

Within the last decade, different educational data mining techniques, particularly quantitative methods such as clustering, and regression analysis are widely used to analyze the data from educational games. In this research, we implemented a quantitative data mining technique (clustering) to further investigate students' feedback. Students played…