Peter Dunn and Margaret Marshman present the second of their data files articles in which they discuss the statistical investigation cycle which describes the whole process of conducting a statistical research study. [For "The Data Files: A Series of Articles to Support Mathematics Teachers to Teach Statistics," see EJ1259108.]

The statistics used in education research are based on central trends such as the mean or standard deviation, discarding outliers. This paper adopts another viewpoint that has emerged in statistics, called extreme value theory (EVT). EVT claims that the bulk of normal distribution is comprised mainly of uninteresting variations while the most…

Structured abstract: Introduction: Difficulties in science and mathematics may stem from intuitive interference of irrelevant salient variables in a task. It has been suggested that such intuitive interference is based on immediate perceptual differences that are often visual. Studies performed with sighted participants have indicated that in the…

New technology enables interactive and adaptive scenario-based tasks (SBTs) to be adopted in educational measurement. At the same time, it is a challenging problem to build appropriate psychometric models to analyze data collected from these tasks, due to the complexity of the data. This study focuses on process data collected from SBTs. We…

Mathematical task design has been a central focus of the mathematics education research community over the last few years. In this study, six university teacher educators from six different US institutions formed a community of practice to explore key aspects of task design (planning, implementing, reflecting, and modifying) in the context of…

This paper discusses Multi-Feature Hierarchical Sequential Pattern Mining, MFH-SPAM, a novel algorithm that efficiently extracts patterns from students' learning activity sequences. This algorithm extends an existing sequential pattern mining algorithm by dynamically selecting the level of specificity for hierarchically-defined features…

Contemporary office work is becoming increasingly challenging as many routine tasks are automated or outsourced. The remaining problem solving activities may also offer potential for lifelong learning in the workplace. In this study, we analyzed problem solving in an office work setting using an Internet-based, semi-standardized diary to collect…

The purpose of this case study was to discover and describe the components of a "double-dose" math intervention that resulted in increased mathematics achievement for high school Algebra I intervention participants in an effort to inform local decisions regarding program improvements and to provide insight to other educators…

While there is preliminary evidence supporting the use of collaborative problem solving teams in schools (e.g., Telzrow, McNamara, & Hollinger, 2000) only a few outcome measures have been explored in relation to these procedures, and the results have been inconsistently demonstrated across projects (Burns & Symington, 2002). Additionally, it has…

The goal of the two Power of Data (POD) projects was to increase science, technology and math skills through the implementation of project-based learning modules that teach students how to solve problems through data collection and analysis utilizing geospatial technologies. Professional development institutes in two formats were offered to…

Trinity College Dublin was proud to host, in April 2016, the Second International Conference on Telecollaboration in Higher Education, with the theme "New Directions in Telecollaborative Research and Practice." Over two and a half days, 150 participants offered 95 research presentations, posters, and "problem shared" sessions.…

The notion that reasoning develops in distinct phases of thinking as individuals progress from simplistic learning of facts to predicting integrated relationships was explored as subjects considered housing issues. Suggestions for developing and instructing housing programs are presented. Subjects included 13 students and faculty members at three…

The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…

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…