Emerging Technologies for Electric Power Generation Personnel Training
Considering that the trend in the workers’ training is the personalization and the use of technologies for self-learning; this article examines the role of emerging technologies and methodologies in the future of training of electric energy production human resources of Comisión Federal de Electricidad. We analyze the problem of complexity as an ingredient inherent in the activities of operation and maintenance of equipment for electricity generation.
A Talent Management Model for Innovation and Competitiveness in Complex Domains: A Case Study in the Latin American Energy Sector
Companies require highly qualified electricians because they have to be competitive in a globalized world and a changing environment. Additionally, they have to face the generational change, since knowledgeable personnel is in the retirement process, and new human resources have to be trained to get the required competencies: knowledge, skills, and attitudes. Talent management is concerned with employee recruitment, development, and administration, and suggests the integration of learning as a fundament for talent management strategies. We have developed a training model, which provides online and personalized instruction within the talent management framework based on three axes: knowledge, skills, and attitudes. The training model aims to complement traditional training with computer-based training. An important aspect of the model is an intelligent training system. This intelligent system adapts the instruction relying on a trainee model, which represents the state of the trainee. The trainee model includes knowledge, skills, attitudes, affect, and learning styles, and it is built as the trainee interacts with the training system. Emotions are recognized using facial expressions and training situation. An animated agent who uses the trainee model to show emotions and empathy presents the instruction. Here, we present the training model, and we discuss the current results in the implantation of the training model.
Cyberinfrastructure for Education and Learning for the Future: a vision and research agenda
This report is the result of a series of workshops organized by the Computing Research Association and the International Society of the Learning Sciences with support from the National Science Foundation (Grant No. REC-0449247). The purpose of the workshop series was to explore where we are in the application of pervasive computing power to education, and where we need to be. In particular, the intent was to develop a map of where NSF can strategically place its resources in creating the learning environments of the future. The four workshops were: 1. Modeling, Simulation and Gaming Technologies Applied to Education, September 27-29, 2004. 2. Cognitive Implications of Virtual or Web-enabled Environments, November 30-December 1, 2004. 3. How Emerging Technology and Cyberinfrastructure Might Revolutionize the Role of Assessment in Learning, February 16-17, 2005. 4. The Interplay Between Communities of Learning or Practice and Cyberinfrastructure, March 24-25, 2005. This report is based on the results of these four workshops and was written by Shaaron Ainsworth, Margaret Honey, W. Lewis Johnson, Kenneth Koedinger, Brandon Muramatsu, Roy Pea, Mimi Recker, and Stephen Weimar as representatives of the four workshops. A list of the workshops' participants appears in Appendix A. The report was edited by CRA staff Andrew Bernat, Jean Smith, and Daniel Rothschild. The report is posted on the CRA website (http://www.cra.org/reports/cyberinfrastructure.pdf). To request a hard copy, send an e-mail to info@cra.org.