Cognitive emotion sensing-based cloud classroom learning evaluation method and device

Abstract

The present invention belongs to the education informatization field and provides a cognitive emotion sensing-based cloud classroom learning evaluation method and device. The method comprises the following steps that: (1) cloud classroom learning is classified into the four learning targets of acquiring target capabilities, solving problems, performing random learning and obtaining happiness; (2) facial expression change data are integrated into emotion units; (3) the facial expression change data of a user during a curriculum resource learning period are acquired; (4) the emotion unit data are integrated into a data sequence; (5) a weighted positive emotion index is calculated; and (6) a calculation result is outputted and displayed. With the cognitive emotion sensing-based cloud classroom learning evaluation method and device of the invention adopted, emotion analysis can be related in MOOC education on the basis of the facial expression data of the user, and therefore, analysis on the learning behavior of the user can be completed, effective evaluation index data of curriculum resources can be obtained, and the realization of the performance evaluation and recommendation of teaching resources and design modes can be facilitated.

Description

technical field [0001] The invention belongs to the field of educational informatization, and in particular relates to a cloud classroom learning evaluation method and device based on cognitive emotion perception. technical background [0002] The large-scale application of MOOC has created a new and fair education model, reflecting the educational value orientation of independent learning and lifelong learning, and accelerating the process of popularization and internationalization of higher education. The construction of curriculum resources based on knowledge blocks, the interactive platform with friendly interface, the new teaching mode with good effect, the new online learning method and the teacher-student relationship have also brought good enlightenment to the teaching reform of higher education in my country. For example, the Starc cloud classroom developed by Central China Normal University has accumulated more than 400 courses online. However, although MOOC has ma...

AI Technical Summary

Problems solved by technology

However, although MOOC has made useful explorations in supporting autonomous learning of large-scale learning groups, it still lags behind typical online teaching platforms in terms of overall functional completeness and maturity.

In particular, MOOC lacks serious teaching methods and it is only a collection of courses and open teaching materials, which cannot reflect the significance of classroom learning and course learning. Moreover, the characteristics of the MOOC course model make it easy for learners to get lost without guidance and help. The high dropout rate and low pass rate of course learners have been criticized by many parties

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