Evaluation of Information Systems Curricula

Information systems education objectives must continually adapt to a dynamic marketplace for knowledge and skills. For faculty developing programs that better prepare students for this demanding environment, existing research and guidelines provide a foundation to develop relevant coursework. However, an examination of peer institutions indicates a significant variance in how institutions of higher learning address the requirements of local markets as they prepare their students for careers. This study reviews previous information systems curricula research, examines current guidelines for information systems education, analyzes adherence to those guidelines, and summarizes innovative approaches being used by business colleges in the U.S. to prepare students. Our findings indicate that even as the number of information systems programs decline, colleges are looking for relevant ways to serve their students and communities. For information systems education to remain connected to the marketplace, the value provided by a degree in information systems must be clear to future employers. This paper concludes by offering insights gained by an analysis of thriving programs to assist faculty working on improving their undergraduate information systems curriculum

A consensus guide to capturing the ability to inhibit actions and impulsive behaviors in the stop-signal task.

Response inhibition is essential for navigating everyday life. Its derailment is considered integral to numerous neurological and psychiatric disorders, and more generally, to a wide range of behavioral and health problems. Response-inhibition efficiency furthermore correlates with treatment outcome in some of these conditions. The stop-signal task is an essential tool to determine how quickly response inhibition is implemented. Despite its apparent simplicity, there are many features (ranging from task design to data analysis) that vary across studies in ways that can easily compromise the validity of the obtained results. Our goal is to facilitate a more accurate use of the stop-signal task. To this end, we provide 12 easy-to-implement consensus recommendations and point out the problems that can arise when they are not followed. Furthermore, we provide user-friendly open-source resources intended to inform statistical-power considerations, facilitate the correct implementation of the task, and assist in proper data analysis