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EDUCATION
COMPUTER SCIENCE
MACHINE LEARNING
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About |
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Through Learning Analytics, it is possible to provide tailor-made learning and teaching for a specific group. It can lead to reduce disparity of standard within different systems and optimise the resources required to achieve required standards. Learning Analytics can support the prediction of outcome and guide early intervention to boosting retention rates. It will make significant contribution for quality assurance. |
Call for Papers |
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The topics of interests include but are not limited to: Learning & Teaching tracking– Temporal Analysis of Learning Data Technical infrastructure – E-Learning Issues in Data-Based Educational Theories and models – Educational Data Model |
Summary |
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LA@IV 2020 : 3rd International Symposium Learning Analytics will take place in Cyberspace. It’s a 5 days event starting on Sep 07, 2020 (Monday) and will be winded up on Sep 11, 2020 (Friday). LA@IV 2020 falls under the following areas: EDUCATION, COMPUTER SCIENCE, MACHINE LEARNING, etc. Submissions for this Symposium can be made by Jul 15, 2020. Authors can expect the result of submission by Jul 30, 2020. Upon acceptance, authors should submit the final version of the manuscript on or before Aug 07, 2020 to the official website of the Symposium. Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines. Other Details of the LA@IV 2020
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Credits and Sources |
| [1] LA@IV 2020 : 3rd International Symposium Learning Analytics |
