Capturing and Organizing Prior Student Learning with the OCW Backpack

The purpose of this paper is to present an approach for students to have non-traditional learning assessed for credit and introduce a tool that facilitates this process. The OCW Backpack system can connect self-learners with KNEXT assessment services to obtain college credit for prior learning. An ex post facto study based on historical data collected over the past two years at Kaplan University (KU) is presented to validate the portfolio assessment process. Cumulative GPA was compared for students who received experiential credit for learning derived from personal or professional experience with a matched sample of students with no experiential learning credits. The study found that students who received experiential credits perform better than the matched sample students on GPA. The findings validate the KU portfolio assessment process. Additionally, the results support the capability of the OCW Backpack to capture the critical information necessary to evaluate non-traditional learning for university credit.

PRIM an Open Mobile Robot Platform. Motivation, Present and Future Trends

This paper is focused on the robot mobile platform PRIM (platform robot information multimedia). This robot has been made in order to cover two main needs of our group, on one hand the need for a full open mobile robotic platform that is very useful in fulfilling the teaching and research activity of our school community, and on the other hand with the idea of introducing an ethical product which would be useful as mobile multimedia information point as a service tool. This paper introduces exactly how the system is made up and explains just what the philosophy is behind this work. The navigation strategies and sensor fusion, where machine vision system is the most important one, are oriented towards goal achievement and are the key to the behaviour of the robot

Student's watcher : comparison between ASP.NET and PHP+CSS

"Student’s Watcher” is a small Web application which wants to show in a visual, simple and fast way, the evolution of the students. The main project table displays such things as marks and comments about students. We can add a comment for each mark to explain why this mark. The objective is to be able to know if some student has a problem, how is going his year, marks in other courses, or even, to know if he has a bad week in a different subjects. We can see the evolution of students in past years to do an objective comparison. It also allows inserting global comments of student, we have a list of these, and all professors can add new ones, where we can see more general valuations. “Student’s Watcher” was begun in ASP.net, but finally my project would be developed in PHP, HTML and CSS. This project wants to be a comparison between two of most important languages used nowadays, ASPX and PHP

Using free data mining software and clustering algorithms to find predictors from student qualifications

In this project a research both in finding predictors via clustering techniques and in reviewing the Data Mining free software is achieved. The research is based in a case of study, from where additionally to the KDD free software used by the scientific community; a new free tool for pre-processing the data is presented. The predictors are intended for the e-learning domain as the data from where these predictors have to be inferred are student qualifications from different e-learning environments. Through our case of study not only clustering algorithms are tested but also additional goals are proposed.

Motivation des patients à participer à un essai clinique de phase I en oncologie

Chaque année en Suisse, 15000 personnes meurent du cancer, ce qui en fait la deuxième cause de mortalité [1]. Il est donc nécessaire d'introduire sur le marché de nouveaux traitements plus efficaces. Ces derniers doivent passer par une période d'essais cliniques qui comporte plusieurs phases, dont la phase I. Celle-ci sert principalement à déterminer la dose maximale tolérable d'un médicament, en exposant le patient à des doses croissantes. Déterminer les motivations des patients à participer à la phase I d'un essai clinique, alors que les bénéfices personnels sont relativement faibles [3].

Networks of PhD Students and Academic Performance: A Comparison across Countries

In this article we compare regression models obtained to predict PhD students’ academic performance in the universities of Girona (Spain) and Slovenia. Explanatory variables are characteristics of PhD student’s research group understood as an egocentered social network, background and attitudinal characteristics of the PhD students and some characteristics of the supervisors. Academic performance was measured by the weighted number of publications. Two web questionnaires were designed, one for PhD students and one for their supervisors and other research group members. Most of the variables were easily comparable across universities due to the careful translation procedure and pre-tests. When direct comparison was notpossible we created comparable indicators. We used a regression model in which the country was introduced as a dummy coded variable including all possible interaction effects. The optimal transformations of the main and interaction variables are discussed. Some differences between Slovenian and Girona universities emerge. Some variables like supervisor’s performance and motivation for autonomy prior to starting the PhD have the same positive effect on the PhD student’s performance in both countries. On the other hand, variables like too close supervision by the supervisor and having children have a negative influence in both countries. However, we find differences between countries when we observe the motivation for research prior to starting the PhD which increases performance in Slovenia but not in Girona. As regards network variables, frequency of supervisor advice increases performance in Slovenia and decreases it in Girona. The negative effect in Girona could be explained by the fact that additional contacts of the PhD student with his/her supervisor might indicate a higher workload in addition to or instead of a better advice about the dissertation. The number of external student’s advice relationships and social support mean contact intensity are not significant in Girona, but they have a negative effect in Slovenia. We might explain the negative effect of external advice relationships in Slovenia by saying that a lot of external advice may actually result from a lack of the more relevant internal advice

Iowa College Student Aid Commission, Agency Performance Plan

Annual Report, Agency Performance Plan

Iowa Federal Family Education Loan Program Division, Iowa College Student Aid Commission, June 30, 2002

State Agency Audit Report

Student Health Center Revenue Bond Funds, June 30, 2002

State University Audit Report of Iowa State University

Iowa College Student Aid Commission Annual Report, 2002-2003

Annual report for Iowa College Student Aid Commission

Motivating Employees of the Public Sector: Does Public Service Motivation Matter?

This article analyzes if, and to what extent, the public service motivation (PSM) construct has an added value to explain work motivation in the public sector. In order to address the specificity of PSM when studying work motivation, the theoretical model underlying this empirical study compares PSM with two other explanatory factors: material incentives, such as performance-related pay, and team relations and support, such as recognition by superiors. This theoretical model is then tested with data collected in a national survey of 3,754 civil servants at the Swiss municipal level. Results of a structural equations model clearly show the relevance of PSM. They also provide evidence for the importance of socio-relational motivating factors, whereas material incentives play an anecdotal role.