Background
mLearn 2006, the 5th World Conference on Mobile Learning, will fulfill the need for stimulating critical debate on and research into theories, approaches, principles and applications of mobile devices for promoting learning. mLearn 2006 will provide an opportunity for professionals from industry, as well as researchers, educators, students, technologists and practitioners, to share their knowledge, experience and research in the various areas where mLearning is applied. The conference will also serve as an opportunity to promote mLearning.
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Oct. 22-25, 2006
Other Important Dates
- May 31, 2006
(NOTE: for students wishing to be considered for grant funding, deadline for abstracts is April 1)
Abstract Submissions - Jul. 31, 2006
Notification of acceptance of abstracts - Aug.15, 2006
Last date for early bird registration - Oct. 1, 2006
Full paper and/or slide show for Technology Showcase - Oct. 1, 2006
Submission of full papers - Oct. 22, 2006
Pre-conference Workshops - Oct. 22-25, 2006
Conference
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- Choosing the Right Machine Learning Evaluation Method: A Comprehensive GuideIntroduction: Understanding the Importance of Machine Learning Evaluation In the ever-evolving field of machine learning, the evaluation of models holds paramount importance. As we strive to create intelligent systems that mimic human intelligence, it becomes crucial to assess their performance and effectiveness. Machine learning evaluation allows us to measure the accuracy, efficiency, and reliability of… Read more: Choosing the Right Machine Learning Evaluation Method: A Comprehensive Guide
- Mastering the Art of Using Technology Effectively: A Guide for Optimal Productivity and SuccessIn today’s fast-paced world, technology plays a vital role in enhancing productivity and achieving success. It has become an indispensable guide for businesses and individuals alike in mastering the art of leveraging its power to the fullest. By harnessing technology effectively, one can unlock a multitude of possibilities and propel themselves towards optimal use of… Read more: Mastering the Art of Using Technology Effectively: A Guide for Optimal Productivity and Success
- Measuring Model Accuracy: Common Metrics to Evaluate the Correctness of PredictionsIntroduction: The Importance of Measuring Model Accuracy and Correctness In today’s data-driven world, accurate predictions are crucial for businesses and organizations to make informed decisions. The success of machine learning models hinges on their ability to provide reliable and precise predictions. Evaluating the accuracy of these models is essential in order to measure their performance… Read more: Measuring Model Accuracy: Common Metrics to Evaluate the Correctness of Predictions
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