Evaluating a program in higher education: a conceptual process and its application

The purpose of this study was to develop a conceptual process for evaluation of a program in higher education; to apply that process to an on-going program; and to provide a meaningful information base for decision makers, thus facilitating the marketability of that program. The study, presented in three sections, includes: a short review of literature on evaluation and on marketing, relating each to higher education; three papers submitted to scholarly journals; and a summary, bibliography, and appendices of developed instuments.;The evaluation model developed by Slimmer (1981) was presented, encompassing the component functions of collecting, analyzing, interpreting, and decision making with delineation of each function. This process was applied to an on-going home economics program in a midwestern university. Data from six instruments provided an information base about the strengths and weaknesses of the program justifying decisions regarding maintenance, modification, expansion, or curtailment of segments of the program. Respondents were currently enrolled students, graduates, tranferred students, administrators, instructional faculty, and high school principals and counselors. Outcomes and recommendations for the program were developed. The systematic evaluation process provided identification of target markets, societal wants and needs, thereby establishing a base for the development of marketing strategies which were recommended for that program

Interview with Kathleen Slimmer

An interview with Kathleen Slimmer regarding her experiences in a one-room school house.https://scholars.fhsu.edu/ors/1204/thumbnail.jp

Instrument Front-Ends at Fermilab During Run II

The optimization of an accelerator relies on the ability to monitor the behavior of the beam in an intelligent and timely fashion. The use of processor-driven front-ends allowed for the deployment of smart systems in the field for improved data collection and analysis during Run II. This paper describes the implementation of the two main systems used: National Instruments LabVIEW running on PCs, and WindRiver's VxWorks real-time operating system running in a VME crate processor.Comment: 8 p

The Tevatron Ionization Profile Monitors

In designing an ionization profile monitor system for the Tevatron some novel approaches were taken, in particular for the readout electronics. This was motivated by the desire to resolve the individual bunches in both beams simultaneously. For this purpose, custom made electronics originally developed for Particle Physics experiments was used to provide a fast charge integration with very low noise. The various parts of the read-out electronics have been borrowed or adapted from the KTev, CMS, MINOS and BTev experiments. The detector itself also had to be modified to provide clean signals with sufficient bandwidth. The system design will be described along with the initial results

IPM measurements in the Tevatron

Two Ionization Profile Monitors (IPMs) were installed in the Tevatron in 2006. The detectors are capable of resolving single bunches turn-by-turn. This paper presents recent improvements to the system hardware and its use for beam monitoring. In particular, the correction of beam size oscillations observed at injection is discussed

Experience with MODSIM II

We present results of computer simulations for Data Acquisition systems for large fixed target experiments in an object oriented simulation language, MODSIM. This paper summarizes our experiences and presents preliminary results from the simulation already completed. We also indicate the resources required for this project

Collaborative care for depression and anxiety problems

This review is published as a Cochrane Review in the Cochrane Database of Systematic Reviews 2012, Issue 10. Cochrane Reviews are regularly updated as new evidence emerges and in response to comments and criticisms, and the Cochrane Database of Systematic Reviews should be consulted for the most recent version of the Review.Common mental health problems, such as depression and anxiety, are estimated to affect up to 15% of the UK population at any one time, and health care systems worldwide need to implement interventions to reduce the impact and burden of these conditions. Collaborative care is a complex intervention based on chronic disease management models that may be effective in the management of these common mental health problems