The analysis and use of data generated by students' interactions with learning systems or programs--learning analytics--has recently gained widespread attention in the educational technology community. Part of the reason for this interest is based on the potential of learning analytic techniques such as data mining to find hidden patterns in…

Social return on investment (SROI) offers a new strategy to measure and communicate the value of outcomes achieved by programs that provide social, health, and education services to children and their families. It can be a powerful tool for demonstrating the monetary value of programs and services and for communicating that value in a way that can…

The evaluation of students' expected performance and course effectiveness play a vital role in determining the course contribution toward meeting the program's learning objectives or outcomes. The success of any course not only requires a well-designed syllabus with clearly defined course learning outcomes and the use of appropriate outcome-based…

Economic data play an important role in the study of macroeconomics. Teaching with data through interactive classes can engage students more fully in the learning process. Although the pedagogy of teaching with data has been widely applied in the undergraduate science classroom, its extension to the economics classroom is rarely discussed. This…

In the case of higher education, the hills are more like mountains of data that "we're accumulating at a ferocious rate," according to Gerry McCartney, CIO of Purdue University (Indiana). "Every higher education institution has this data, but it just sits there like gold in the ground," complains McCartney. Big Data and the new tools people are…

Most quantitative analyses in workforce education are affected by missing data. Traditional approaches to remedy missing data problems often result in reduced statistical power and biased parameter estimates due to systematic differences between missing and observed values. This article examines the treatment of missing data in pertinent…

This paper reports on an attempt to help 12-year-old students develop a specific optimization strategy for selecting among possible solutions in socioscientific decision-making situations. We have developed teaching and learning materials for elaborating this strategy, and we have implemented them in two intact classes (N = 48). Prior to and after…

Often, research projects are presented as final products with the methodologies cleanly outlined and little attention paid to the decision-making processes that led to the chosen approach. Limited attention paid to these decision-making processes perpetuates a sense of mystery about qualitative approaches, particularly for new researchers who will…

The Delphi survey technique is an iterative mail or electronic (e-mail or web-based) survey method used to obtain agreement or consensus among a group of experts in a specific field on a particular issue through a well-designed and systematic multiple sequential rounds of survey administrations. Each of the multiple rounds of the Delphi survey…

This Research Note proposes that modern art painters make their best works at the optimal moment in their lives, a moment that could then be associated with the Divine proportion (the Fibonacci phi). An analysis of 189 highest-priced works by as many modern art painters, comparing the moment of creation with their life span of these artists,…

Our article introduces the "Journal of Educational Data Mining's" Special Issue on Educational Data Mining on Motivation, Metacognition, and Self-Regulated Learning. We outline general research challenges for data mining researchers who conduct investigations in these areas, the potential of EDM to advance research in this area, and…

Maggie Kinnaman is an APPA Emeritus Member, APPA Fellow, and Past APPA President. In this article she provides helpful tips for completing the APPA Facilities Performance Indicators (FPI) survey for 2013, which closed on December 16, 2013. She began by calling attention to some enhancements that have been added this past year, and encouraged…

Despite being widely used and frequently studied, the Angoff standard setting procedure has received little attention with respect to an integral part of the process: how judges incorporate examinee performance data in the decision-making process. Without performance data, subject matter experts have considerable difficulty accurately making the…

We develop and implement a framework for determining the optimal performance metrics to help parents choose a school. This approach combines the three major critiques of the usefulness of performance tables into a natural metric. We implement this for 500,000 students in England for a range of performance measures. Using performance tables is…

Minimum sample sizes of about 200 to 250 per group are often recommended for differential item functioning (DIF) analyses. However, there are times when sample sizes for one or both groups of interest are smaller than 200 due to practical constraints. This study attempts to examine the performance of Simultaneous Item Bias Test (SIBTEST),…