It is widely agreed that ethics teaching should have an important role in Information Systems (IS) teaching. Yet, there are no studies exploring how students apply theories of ethics in their decision-making. This is unfortunate, because teaching ethics is of little practical use if the students do not utilise the acquired knowledge in practice.…

The purpose of this study was to investigate non-mandated data-driven decision making in private/religious schools. The school culture support of data use, teacher use of data, leader facilitation of using data, and the availability of data were investigated in three schools. A quantitative survey research design was used to explore the research…

Data-informed decision making helps higher education institutions know whether they are achieving their missions, including expanding access to higher education and increasing student success. For three consecutive years, Montgomery County Community College (MCCC) has been ranked among the top community colleges in the country for its use of…

Midwives in Ghana provide the majority of rural primary and maternal healthcare services, but have limited access to data for decision making and knowledge work. Few mobile health (mHealth) applications have been designed for midwives. The study purpose was to design and test an mHealth application (mClinic) that can improve data access and reduce…

As society's interactions with web technology mature from novelty to familiarity and finally into transparence for users, it becomes important to reexamine what modern students are taking from their experiences with educational technology. Students in a physical chemistry laboratory course interacted with a hypermedia learning environment as part…

The large increases in the number of information systems (IS) majors about 10 years ago have been matched by equally large decreases in IS enrollments over the last few years. This article addresses the question of why students choose any major in general, and why students no longer choose to become an IS major in particular. We used a validated…

Data-driven decision making is the process of using data to inform decisions to improve teaching and learning. Schools typically engage in two kinds of data-driven decision making--at the school level and at the classroom level. The first leads to the second. In this article, the author describes how Marylin Avenue Elementary School successfully…

No Child Left Behind has increased data collection and reporting, the development of data systems, and interest in using data for decision-making in schools and classrooms. Ends-driven decision making has become common educational practice, where the ends justify the means at all costs, and short-term results trump longer-term outcomes and the…

When the author and his colleagues last left Chicago Public Schools (CPS) and Texas' Plano Independent School District in April 2008, both school districts were immersed in the long and labored advance toward becoming a fully matured data-driven operation, one that uses sophisticated technologies to gather data, sort and interpret it, and…

Student evaluations to measure the teaching effectiveness of instructor's are very frequently applied in higher education for many years. This study investigates the factors associated with the assessment of instructors teaching performance using two different data mining techniques; stepwise regression and decision trees. The data collected…

The sophistication of the integrated world of work and increased recognition of business processes as critical corporate assets require graduates to develop "process orientation" and an "integrated view" of business. Responding to these dynamic changes in business organizations, business schools are also continuing to modify…

This article examines the convergence of two popular school improvement policies: instructional coaching and data-driven decision making (DDDM). Drawing on a mixed methods study of a statewide reading coach program in Florida middle schools, the article examines how coaches support DDDM and how this support relates to student and teacher outcomes.…

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…

In this dissertation we develop a framework that combines data mining, statistics and operations research methods for improving real-time decision support systems in healthcare. Our approach consists of three main concepts: data gathering and preprocessing, modeling, and deployment. We introduce the notion of offline and semi-offline modeling to…

Putting data-driven decision making into practice requires the use of consistent and reliable data that are easily accessible. The systematic collection and maintenance of accurate information is an important component in developing policy and evaluating outcomes. Since 1982, the National Collegiate Athletic Association (NCAA) has been collecting…