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[Lecture Notes in Computer Science] Knowledge-Based Intelligent Information and Engineering Systems Volume 2774 || Preventing Student Dropout in Distance Learning Using Machine Learning Techniques

✍ Scribed by Palade, Vasile; Howlett, Robert J.; Jain, Lakhmi


Book ID
121321866
Publisher
Springer Berlin Heidelberg
Year
2003
Tongue
English
Weight
150 KB
Edition
1
Category
Article
ISBN
3540452265

No coin nor oath required. For personal study only.

✦ Synopsis


During recent decades we have witnessed not only the introduction of automation into the work environment but we have also seen a dramatic change in how automation has influenced the conditions of work. While some 30 years ago the addition of a computer was considered only for routine and boring tasks in support of humans, the balance has dramatically shifted to the computer being able to perform almost any task the human is willing to delegate. The very fast pace of change in processor and information technology has been the main driving force behind this development. Advances in automation and especially Artificial Intelligence (AI) have enabled the formation of a rather unique team with human and electronic members. The team is still supervised by the human with the machine as a subordinate associate or assistant, sharing responsibility, authority and autonomy over many tasks. The requirement for teaming human and machine in a highly dynamic and unpredictable task environment has led to impressive achievements in many supporting technologies. These include methods for system analysis, design and engineering and in particular for information processing, for cognitive and complex knowledge [1] engineering .


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