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Anastasios Kaltsounis, Evangelos Spiliotis and Vassilios Assimakopoulos
We present a machine learning approach for applying (multiple) temporal aggregation in time series forecasting settings. The method utilizes a classification model that can be used to either select the most appropriate temporal aggregation level for prod...
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Junrie B. Matias,Narciso M. Batingal Jr.,Alvin Kleen L. Cuasito,Jenifer T. Tumalaytay
Pág. pp. 20 - 31
In this paper, we present an application that helps the teachers in identifying slow learners in a class; similarly, the system will help slow learners cope up with their fast learner peers. Specifically, we evaluated the development of the Mobile-based ...
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Marzita Mansor,Wan Adilah Wan Adnan,Natrah Abdullah
Pág. pp. 103 - 116
Personalization is a good supplement for learning process. It has been claimed that personalization has a huge potential of providing solution to facilitate the learning path based on children ability and preferences. Diverse research on personalized lea...
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