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MOOC online learning pattern recognition system and method

A technology for identifying systems and learning patterns, applied in the field of MOOC online learning pattern recognition systems, can solve problems such as lack of interaction and evaluation process, and achieve the effects of stable calculation results, superior performance and simple structure

Inactive Publication Date: 2015-01-28
SOUTHEAST UNIV
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Problems solved by technology

[0004] What is more worth emphasizing is that MOOC not only opens up resources, but also emphasizes the learning process, while the popular open video courses in China are more static resources, lacking the process of interaction and evaluation

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  • MOOC online learning pattern recognition system and method

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Embodiment Construction

[0023] Such as figure 1 As shown, the MOOC online learning pattern recognition system of the present invention includes a head-mounted EEG collector, an eye blink detection and analyzer, and a learning pattern recognition and classifier.

[0024] Among them, the head-mounted EEG acquisition instrument is used to obtain the EEG signals in the online learning process of the measured object in real time, and send the collected EEG signals to the blink detection and analyzer through the wireless communication module;

[0025] In this embodiment, the head-mounted EEG acquisition instrument is packaged in a head-mounted housing as a whole, including a microprocessor, a dual-conductor EEG acquisition module and a wireless transceiver module. The dual-conductor EEG acquisition module uses dry electrodes. The scalp position of the EEG signal acquisition is the bilateral frontal cortex. The reference electrode and the ground electrode are respectively arranged on the left and right earl...

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Abstract

The invention discloses an MOOC online learning pattern recognition system and method. The recognition system comprises a head-wearable EEG collecting instrument, a blink detection and analyzing instrument and a pattern recognizing and classifying device. The head-wearable EEG collecting instrument is used for obtaining EEG signals of a tested object in the online learning process in real time and is provided with a wireless communication module for transmitting the EEG signals. The blink detection and analyzing instrument is used for receiving the EEG signals sent by the head-wearable EEG collecting instrument, processing the EEG signals through a standard time frequency analytical algorithm so as to obtain the blink time information and obtain the blink time sequence, conducting statistic analysis on the blink time sequence and obtaining feature parameters of online learning state patterns. The pattern recognizing and classifying device is used for conducting pattern recognizing and classifying on the online learning state of a user according to the spatial position where the feature parameters are located, and therefore real-time feedback information is provided for the user. According to the MOOC online learning pattern recognition system and method, the structure is simple, the application range is wide, the performance is superior, the pattern recognizing problem of the MOOC online learning state can be solved, and the good market prospect is achieved.

Description

technical field [0001] The invention belongs to the field of education evaluation, in particular to a MOOC online learning pattern recognition system and method. Background technique [0002] MOOC, also known as "MOOC", is the English abbreviation of Massive Open Online Course (Massive Open Online Course), which is an online course for the public. MOOC breaks through the limitation of time and space, and provides a new mode of knowledge dissemination and learning, which has great significance and broad prospects. [0003] However, the relevant research on MOOC is not yet in-depth, and there are still some problems that need to be solved urgently, such as the high "dropout rate". The Graduate School of Education at the University of Pennsylvania conducted a survey of 1 million MOOC users. The results showed that only 4% of the learners completed the entire course, and about half of the learners only attended one class. At present, the teaching design of MOOC open courses m...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06F3/01G06N3/02
Inventor 禹东川李艳玮陈鸿雁刘芳
Owner SOUTHEAST UNIV
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