On the Compare of Evaluation of Deep Learning in Education

Deep learning is necessary for learners to resolve problems in life because deep learning can promote learners' high thinking ability and learners need such a kind of ability to solve problems. However, the research on deep learning is much less, let alone to research on the evaluation of deep learning according to research on literatures in CNKI database. Evaluation is very important for learners to improve their learning. In the paper, based on literature analysis and content analysis, we sorts out the evaluation methods of deep learning and then classifies them according to their characteristic, which include scale evaluation, project evaluation, wearable device and concept map. After the horizontal and longitudinal comparison of evaluation methods of the deep learning, we draw the following conclusions: multiple methods should be adopted on evaluation learning; the evaluation tools should be selected according to evaluation scope and learners' needs.