Automatic machine learning (AutoML) methods automate the time-consuming, feature-engineering process so that researchers produce accurate student models more quickly and easily. In this paper, we compare two AutoML feature engineering methods in the context of the National Assessment of Educational Progress (NAEP) data mining competition. The…

When undertaking quantitative hypothesis testing, social researchers need to decide whether the data with which they are working is suitable for parametric analyses to be used. When considering the relevant assumptions they can examine graphs and summary statistics but the decision making process is subjective and must also take into account the…

The ubiquity of data in various forms has fueled the need for advanced data-mining techniques within organizations. The advent of data mining methods used to uncover hidden nuggets of information buried within large data sets has also fueled the need for determining how these unique projects can be successful. There are many challenges associated…

Employers' recruitment behaviour in entry labour markets is central for young people's transitions from school to work. Whereas previous research has focused on the effects of specific applicant characteristics, I concentrate on how organisational characteristics, namely organisation size and private or public sector affiliation, relate to…

For this focus group study we recruited from a population of 345 university students who had been informed of their poor academic performance in at least one course, but who had not utilized peer tutoring in the semester they received the warning, in order to determine if stigma played a role in their decision not to seek help. We learned from…

This event focused on the What Works Clearinghouse practice guide, "Using Student Achievement Data to Support Instructional Decision Making" (ED506645). During the event, the presenter, Sharnell Jackson, led school data teams in activities involving analysis of their own student data. This Q&A addressed the questions participants had…

The study aims to gain a better understanding of the national large-scale curriculum process in terms of the used implementation strategies, the function of the reform, and the curriculum coherence perceived by the stakeholders accountable in constructing the national core curriculum in Finland. A large body of school reform literature has shown…

This study investigated the positive impact of a teaching practice on student learning outcomes in an online MBA program. An instructional project guideline was developed to help online students enhance their achieving required learning objectives corresponding to five categories of Bloom's Taxonomy. The course learning objectives are based on…

This paper outlines a novel approach to engineering education research that provides three dimensions of learning through an experiential class activity. A simulated decision activity brought current research into the classroom, explored the effect of experiential activity on learning outcomes and contributed to the research on innovation decision…

The purpose of this quantitative study was to investigate six factors that may influence adoption of virtual private network (VPN) technologies in small businesses with fewer than 100 employees. Prior research indicated small businesses employing fewer than 100 workers do not adopt VPN technology at the same rate as larger competitors, and the…

This study gathered, analyzed, and compared perspectives of students who were honors-eligible but never began the program, students who began in honors and discontinued their enrollment, and those who were persisting in honors. Broadly speaking (and not surprisingly), the responses of students persisting in honors reflected the most positive…

Recent years have seen increased interest in data-driven decision making in education; that is, using various types of data, particularly quantitative assessment data, to inform a range of decisions in schools and classrooms. At the same time, districts, states, and schools have invested resources in tools designed to provide teachers, principals,…

Few school leaders are experiencing a shortage of data. Most are actually drowning in data, with a wealth of test scores, student demographic information, and an increasing load of "formative" assessment data that may or may not be worthy of the name (Popham, 2008). The challenge is facing both an overabundance of data and a scarcity of…

In recent years, interest has spiked in data-driven decision making in education--that is, using various types of student data to inform decisions in schools and classrooms. In October 2008, the Council of the Great City Schools and American Institutes for Research (AIR) launched a project funded by The Bill & Melinda Gates Foundation that focused…

The present level of participation by Canadian teachers in the school decision-making process is undesirably low. (CK)