The dynamics of computerization in a social science research team : a case study of infrastructure, strategies, and skills

This paper examines the dynamics of Computerization in a PC-oriented research group through a case study. The time and skill in integrating computing into the labor processes of research are often significant "hidden costs" of computerization. Computing infrastructure plays a key role in reducing these costs may be enhanced by careful organization. We illustrate computerization strategies that we have found to be productive and unproductive. Appropriate computerization strategies depend as much on the structuring of resources and interests in the larger social setting, as on a technical characterization of tasks

Whattya Mean it’s Not All About Me? Involving Undergraduate Students in an Analysis of a Tablet PC Initiative

Institutions of higher learning have understood for many years that in order stay competitive, they must have technology-based initiatives in place. Since the mid-1990’s, there has been a trend toward student laptop lease/buy programs. Beginning in the early 2000’s and until recently, many colleges and universities have begun to experiment with tablet PC computing requirements. More often than not, incoming freshmen have few choices. Typically the university tells the students and their parents which computing platform and manufacturer they have chosen for them and the students are required to purchase or lease that computer at the university’s designated price. Students rarely understand how or why the university has chosen a particular platform and often resent having to pay, what they perceive as, premium prices for their total computing package. This paper introduces a team-based project that was assigned to a 200-level undergraduate Management Information Systems (MIS) class. The purpose of this project was to have the students look at the decision-making process as it impacts not only students, but the university’s faculty, technology support, and finance

To take or not to take the laptop or tablet to classes, that is the question

In recent decades, so-called mobile learning or m-learning has become a new paradigm in education as a consequence of technological advances and the widespread use of mobile devices to access information and for communication. In this context, this paper analyzes different profiles depending on students’ preferences for taking mobile devices (specifically tablets and/or laptops) to economics classes at the University of Seville (Spain). A survey-based field study of a sample of 412 students and the application of bivariate probit models show a low level of mobile device integration in teaching (devices taken to class by only 29.8% of respondents) with a slight predominance of laptops. The results also show differences between users of the two types of devices. Students who take their laptops to class usually live at home with their family, have already used them in pre-university levels, and are concerned about recharging their devices in class. However, although users who take their tablets to class also live with their parents, they are much more active on social network sites and more concerned about the quality of the internet connection. These findings enable the design of strategies to encourage students to attend class with their own mobile devices

Student compliance with ethical guidelines: the Glasgow ethics code

While disciplines like medicine and psychology have for several years followed strict procedures for ethical approval of experiments involving humans, only recently has the use of human participants within Computing Science been subject to the same scrutiny. Although we may wish to put a case forward for Computing Science to be exempt from such formal ethics procedures, funding bodies and universities typically insist that we seek the same approval as other disciplines for our experiments, including any use of human participants by our students during the course of their studies. We have introduced a simple, scalable ethics procedure for student assessment, that identifies ethical concerns, yet does not overwhelm the limited staff resources available for supporting this initiative. The process is based around a form of triage that filters the approximately 8000 assessments that are submitted annually. This paper summarises this procedure, discusses the underlying assumptions, and outlines the problems encountered

Shaking Up Traditional Training With Lynda.com

Supporting the diverse technology training needs on campus while resources continue to dwindle is a challenge many of us continue to tackle. Institutions from small liberal arts campuses to large research universities are providing individualized training and application support 24/7 by subscribing to the lynda.com Online Training Library(r) and marketing the service to various combinations of faculty, staff and students. As a supplemental service on most of our campuses, lynda.com has allowed us to extend support to those unable to attend live lab-based training, those who want advanced level training, those who want training on specialized applications, and those who want to learn applications that are not in high demand. The service also provides cost effective professional development opportunities for everyone on campus, from our own trainers and technology staff who are developing new workshops, learning new software versions or picking up new areas of expertise from project management to programming, to administrative and support staff who are trying to improve their skills in an ever-tighter economic environment. On this panel discussion, you will hear about different licensing approaches, ways of raising awareness about lynda.com on our campuses, lessons learned through implementation, reporting capabilities, and advice we would give for other campuses looking to offer this service

Computing as the 4th “R”: a general education approach to computing education

Computing and computation are increasingly pervading our lives, careers, and societies - a change driving interest in computing education at the secondary level. But what should define a "general education" computing course at this level? That is, what would you want every person to know, assuming they never take another computing course? We identify possible outcomes for such a course through the experience of designing and implementing a general education university course utilizing best-practice pedagogies. Though we nominally taught programming, the design of the course led students to report gaining core, transferable skills and the confidence to employ them in their future. We discuss how various aspects of the course likely contributed to these gains. Finally, we encourage the community to embrace the challenge of teaching general education computing in contrast to and in conjunction with existing curricula designed primarily to interest students in the field