Although practical laboratory activities are often considered the linchpin of science education, asking students to produce many large practical reports can be problematic. Practical reports require diverse skills, and therefore do not focus the students' attention on any one skill where specific skills need to be enhanced. They are also…

This dissertation investigated citizen science, a tool that connects the public to the scientific community through research-based projects and education campaigns. Benefits include volunteers adding data to long-term data sets and improved scientific literacy among the public. Oftentimes, there is trepidation among scientists, managers, and…

The "Canadian Association of University Teachers (CAUT) Almanac of Post-Secondary Education in Canada" is a source for the most current statistical information available on post-secondary education in Canada. The Almanac provides statistics on the following: (1) university and college finances; (2) academic staff salaries and gender; (3)…

The Data Quality Campaign (DQC) has been focused since 2005 on advocating for states to build robust state longitudinal data systems (SLDS). While states have made great progress in their data infrastructure, and should continue to emphasize this work, data systems alone will not improve outcomes. It is time for both DQC and states to focus on…

The use, and misuse, of statistics is commonplace, yet in the printed format data representations can be either over simplified, supposedly for impact, or so complex as to lead to boredom, supposedly for completeness and accuracy. In this article the link to the video clip shows how dynamic visual representations can enliven and enhance the…

This monograph provides a neuroscience-based systemological, epistemological, and methodological rational for the design of an advanced and novel parametric statistical analytics designed for the biological sciences referred to as "Biotrichotomy". The aim of this new arena of statistics is to provide dual metrics designed to analyze the…

Author Rob Dean previously published an Illuminations article concerning "challenge" questions that encourage students to think imaginatively with approximate quantities, reasonable assumptions, and uncertain information. This article has promoted some interesting discussion, which has prompted him to present further examples. Examples…

In this article, we adjust the Kuk randomized response model for collecting information on a sensitive characteristic for increased protection and efficiency by making use of forced "yes" and forced "no" responses. We first describe Kuk's model and then the proposed adjustment to Kuk's model. Next, by means of a simulation…

Growing numbers of educational researchers are using rhizoanalytic approaches based on the work of Deleuze and Guattari to think differently in their research practices. However, as those engaging in debates about post-qualitative research suggest, thinking differently is not without its challenges. This paper uses three complex challenges…

In generalizability theory studies in large-scale testing contexts, sometimes a facet is very sparsely crossed with the object of measurement. For example, when assessments are scored by human raters, it may not be practical to have every rater score all students. Sometimes the scoring is systematically designed such that the raters are…

In a previous article we demonstrated that a simple, passive external circuit incorporating a thermistor, connected to a mobile device through the headset jack, can be used to collect temperature data. The basic approach is to output a sine wave signal to the headset port, through the circuit, and input the resulting signal from the headset…

The interpretive and subjective nature of qualitative research has led to growing utilization of arts-based strategies for data collection, analysis and dissemination. The defining characteristic of all such strategies is that they are largely subjective and intended to invoke personal responses in the 'audience.' Following that direction, many…

It is common knowledge that teacher quality is a key in-school factor affecting student achievement. While the quality of teaching clearly matters for how much students learn, this quality is challenging to measure. Evaluating teacher quality based on the level of their students' end-of-year test scores has been one method of assessing…

Why do workforce data matter? A strong education prepares students to succeed in their chosen careers, but education, training, and employment pathways are changing. Individuals take multiple paths into the workforce. Some get jobs after completing high school, some after earning a college degree. To develop and support a strong workforce,…

This paper reports on results of applying process discovery mining and sequence classification mining techniques to a data set of semi-structured learning activities. The main research objective is to advance educational data mining to model and support self-regulated learning in heterogeneous environments of learning content, activities, and…