Web-based OERs in Computer Networks

Learning and teaching processes are continually changing. Therefore, design of learning technologies has gained interest in educators and educational institutions from secondary school to higher education. This paper describes the successfully use in education of social learning technologies and virtual laboratories designed by the authors, as well as videos developed by the students. These tools, combined with other open educational resources based on a blended-learning methodology, have been employed to teach the subject of Computer Networks. We have verified not only that the application of OERs into the learning process leads to a significantly improvement of the assessments, but also that the combination of several OERs enhances their effectiveness. These results are supported by, firstly, a study of both students’ opinion and students’ behaviour over five academic years, and, secondly, a correlation analysis between the use of OERs and the grades obtained by students.

Creative music for children, a plan of training based on the natural evolution of music, including the making and playing of instruments, dancing--singing--poetry,

Illustrated lining-papers.

Assessing state-level job training coordination : a survey design and methodology based upon the Massachusetts experience /

"December 1992."

Teaching adolescents in the church school; a plan-book for training leaders of youth, based on the project principle,

"General bibliography": p. 163-170.

Gymnastics of the voice; a system of correct breathing in singing and speaking, based upon physiological laws. A self-instructor in the training and use of the singing and speaking voice.

Translation of Gymnastik der Stimme.

Training and employment services policy analysis : a look at community based services for handicapped individuals : first year progress report /

Cover title.

Parent management training and Asperger syndrome - A randomized controlled trial to evaluate a parent based intervention

This controlled trial of a parent management intervention aimed to increase parental competence in management of problem behaviours associated with Asperger syndrome. The intervention compared two formats, a 1 day workshop and six individual sessions. Measures were taken on three occasions: pre-intervention, at 4 weeks, and at 3 month follow-up. Variables of interest were number and intensity of problem behaviours, and parent evaluation of social interaction skills. Results showed parents reporting fewer and lower intensity of problem behaviours and increased social interactions at 4 weeks and 3 months. Results held across formats and suggest that parent management training can provide an effective intervention for parents of a child with Asperger syndrome. Group differences on outcome measures and in the use of strategies are discussed along with limitations of the study.

Training school personnel to implement a universal school-based prevention of depression program under real-world conditions

The present study evaluated the impact of a universal prevention of depression program [the Resourceful Adolescent Program (RAP)] when implemented under real-world conditions in a school setting. Prior research has found the RAP program to be beneficial for high-school students when the program was implemented by university staff selected, trained, and supervised by a research team. The present study evaluated the RAP program when implemented by existing school personnel. Separately, we measured the impact of a training program for facilitators, the quality of subsequent program implementation, and the student's response to the RAP Program. Results showed that, in response to the training program, facilitators believed they had acquired the knowledge and confidence to implement the program and that the quality of program implementation was acceptable. The study did not demonstrate a beneficial impact of the RAP program for the students. The results raise important questions regarding the extent of training and ongoing supervision facilitators require if the beneficial outcomes for students are to be maintained when interventions are implemented under real-world conditions in school settings. (C) 2004 Society for the Study of School Psychology. Published by Elsevier Ltd. All rights reserved.

Theoretical frameworks for analysing turn-based computer strategy games

This paper argues for a more specific formal methodology for the textual analysis of individual game genres. In doing so, it advances a set of formal analytical tools and a theoretical framework for the analysis of turn-based computer strategy games. The analytical tools extend the useful work of Steven Poole, who suggests a Peircian semiotic approach to the study of games as formal systems. The theoretical framework draws upon postmodern cultural theory to analyse and explain the representation of space and the organisation of knowledge in these games. The methodology and theoretical framework is supported by a textual analysis of Civilization II, a significant and influential turn-based computer strategy game. Finally, this paper suggests possibilities for future extensions of this work.

An Incremental EM-based Learning Approach for On-Line Prediction of Hospital Resource Utilization

Objective: Inpatient length of stay (LOS) is an important measure of hospital activity, health care resource consumption, and patient acuity. This research work aims at developing an incremental expectation maximization (EM) based learning approach on mixture of experts (ME) system for on-line prediction of LOS. The use of a batchmode learning process in most existing artificial neural networks to predict LOS is unrealistic, as the data become available over time and their pattern change dynamically. In contrast, an on-line process is capable of providing an output whenever a new datum becomes available. This on-the-spot information is therefore more useful and practical for making decisions, especially when one deals with a tremendous amount of data. Methods and material: The proposed approach is illustrated using a real example of gastroenteritis LOS data. The data set was extracted from a retrospective cohort study on all infants born in 1995-1997 and their subsequent admissions for gastroenteritis. The total number of admissions in this data set was n = 692. Linked hospitalization records of the cohort were retrieved retrospectively to derive the outcome measure, patient demographics, and associated co-morbidities information. A comparative study of the incremental learning and the batch-mode learning algorithms is considered. The performances of the learning algorithms are compared based on the mean absolute difference (MAD) between the predictions and the actual LOS, and the proportion of predictions with MAD < 1 day (Prop(MAD < 1)). The significance of the comparison is assessed through a regression analysis. Results: The incremental learning algorithm provides better on-line prediction of LOS when the system has gained sufficient training from more examples (MAD = 1.77 days and Prop(MAD < 1) = 54.3%), compared to that using the batch-mode learning. The regression analysis indicates a significant decrease of MAD (p-value = 0.063) and a significant (p-value = 0.044) increase of Prop(MAD