ONLINE LEARNING STYLE AUTOMATED DIAGNOSTIC SYSTEM, ONLINE LEARNING STYLE AUTOMATED DIAGNOSTIC METHOD AND NON-TRANSITORY COMPUTER READABLE RECORDING MEDIUM

摘要

The present invention provides an online learning style automated diagnostic system and method, and a computer readable recording medium; the online learning style automated diagnostic method includes following steps. A plurality of messages sent by learning platforms are received through a network communication device and are stored in a learning database, in which each message includes relevant data corresponding to a learner's learning behavior. It is determined that the learning behavior belongs to at least one learn style. Outliers of the correlation data are found, and then the outliers are filtered out from the correlation data to generate a set of data, in which a maximum value of the set of data is calculated. Each of the set of data is divided by the maximum value to give a conversion value, and a score of the learner in the learning style is calculated based on the conversion value.

主权项

1. An online learning style automated diagnostic system, comprising:
a learning database; a processor, configured to execute one or more computer-executable instructions; a network communication device; and a memory, comprising a computer program executable by the processor, wherein when the computer program is executed by the processor, the processor is configured to perform operations comprising: receiving a plurality of messages respectively sent from a plurality of learning platforms via the network communication device, and storing the plurality of messages to the learning database, wherein each of the plurality of messages records relevant data corresponding to a learner's at least one learning behavior; determining a learning style to which the at least one learning behavior belongs; screening outliers of the plurality of relevant data; filtering out the outliers from the plurality of relevant data to obtain a set of data and calculating a maximum value of the set of data; calculating a conversion value for each of the set of data, wherein the conversion value equals to dividing each of the set of data by the maximum value; and calculating a score of the learner in the learning style based on the conversion value.