Purpose: This study aims to propose a complementary method to the A3 information collection, data analysis and capturing and sharing knowledge to facilitate problem solving in a general framework. The incorporation of this method minimizes the difficulties identified in the literature focused on continuous improvement of processes. The method…

The most widely cited statistics on postsecondary students with disabilities in the United States are based on the Department of Education's quadrennial National Postsecondary Student Aid Study (NPSAS). However, these statistics are called into question by their substantial variability across NPSAS administrations and by results of the second…

This study describes the experiences of a researcher negotiating consent with people with learning disabilities to become participants in a research study. The study was about how the Mental Capacity Act (MCA) was applied to everyday decision-making in social care settings. However, before data collection could begin, the researcher had to follow…

An empirical study has been carried out to evaluate the potential of word order matching and static comparison as explanatory models of reversal error. Data was collected from 214 undergraduate students who translated a set of additive and multiplicative comparisons expressed in Spanish into algebraic language. In these multiplicative comparisons…

Although much has been written about the potential benefits of effective data use in schools, considerably less attention has been paid to how schools make sense of the data generated from performance-based accountability measures. This article explores schools' usage of state test data, the intensity of data use, and the perceived utility of…

We estimate the short-term effects of the introduction of the Bachelor degree system in Germany, a change in degree regulations such that students need less time to earn a first degree, on college enrollment and dropout rates. We use variation in the timing of the reform at the university department level to identify the effects of the reform…

Research into typing patterns has broad applications in both psycholinguistics and biometrics (i.e., improving security of computer access via each user's unique typing patterns). We present a new software package, TypingSuite, which can be used for presenting visual and auditory stimuli, collecting typing data, and summarizing and analyzing the…

Increasingly, states and districts are combining student growth measures with rigorous, rubric-aligned teacher observations in constructing teacher evaluation measures. Although the student growth or value-added components of these measures have received much research and policy attention, the results of this study suggest that the data generated…

Over the past decade, Web 2.0 has brought a wealth of opportunities for improving marketing effectiveness; social media platforms, in particular, have proven to be exceptional tools for realizing growth potential. The big question for businesses used to be how to measure and report financial return on investment (ROI) for social media ad spend to…

The purpose of this study is to identify if gender differences exist with respect to conviction of university students for academic dishonesty. To investigate this phenomenon, data from the Swedish National Agency for Higher Education (SNAHE) and from disciplinary boards of several Swedish universities were evaluated from a gender perspective. To…

The need for analysts with expertise in big data software is becoming more apparent in today's society. Unfortunately, the demand for these analysts far exceeds the number available. A potential way to combat this shortage is to identify the software taught in colleges or universities. This article will examine four data analysis software--Excel…

This paper introduces "Five-level QDA" (Qualitative Data Analysis) as a pedagogy for the teaching and learning of CAQDAS (Computer Assisted Qualitative Data AnalysiS) that spans methodologies, software packages and teaching modes. Based on the authors' personal trajectories of using, teaching and researching CAQDAS since the late-1990s,…

Data-driven methods have been a successful approach to generating hints for programming problems. However, the majority of previous studies are focused on procedural hints that aim at moving students to the next closest state to the solution. In this paper, I propose a data-driven method to generate remedy hints for BOTS, a game that teaches…

Vocabulary knowledge is crucial to literacy development and academic success. Previous research has shown learning the meaning of a word requires encountering it in diverse informative contexts. In this work, we try to identify "nutritious" contexts for a word--contexts that help students build a rich mental representation of the word's…

A great deal of research in educational data mining is geared towards predicting student performance. Bayesian Knowledge Tracing, Performance Factors Analysis, and the different variations of these have been introduced and have had some success at predicting student knowledge. It is worth noting, however, that very little has been done to…