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Deep Learning (DL) aims at learning the meaningful representations. A meaningful representation refers to the one that gives rise to significant performance improvement of associated Machine Learning (ML) tasks by replacing the raw data as the input. However, optimal architecture design and model parameter estimation in DL algorithms are widely considered to be intractable. Evolutionary algorit...

individuals act differently in learning, this being due to the difference in learning styles of persons. learning styles affect optimum learning and the efficiency in educational output. therefore an identification of the learning styles of learners as related to teaching and learning activities is most important. the purpose of this study was to investigate the learning styles of agricultural ...

While national statistics cite a remarkable improvement in technology tools and access to the Internet in most schools across the nation, many teachers are not integrating these tools into their instruction in ways that support and maximize student learning. Additionally, many teachers entering the workforce are far more likely to use computers for personal purposes rather than in the classroom...

This document presents the analysis of a discussion forum used as a learning component in a ‘management information systems’ university course. By reporting on two macro level measures namely, participation and interaction, we seek to understand the occurrence of any collaborative knowledge-building activities/processes and at the same time work towards discourse analysis. Our analysis is based...

Analogy has been the basic capability for us human when we apply to solve daily problems that we face throughout our lives. In the field of education, it is also viewed as one of the effective teaching tools. This thesis primarily explores the definition of analogy, the learning process of analogy in addition to utilizing the analogy learning in the applications of eLearning teaching material d...