Abstract: A learning support apparatus according to an embodiment of the present disclosure may include a processor; and a memory electrically connected to the processor and storing at least one code executed by the processor, in which when the memory is executed through the processor, the processor may measure a first brain wave signal in a resting state of a subject, and measures a second brain wave signal in a learning state of test content, determine a learning state measurement index of the subject, determine a learning success criterion of the subject, measure a third brain wave signal of the subject while learning content is provided to the subject, and store a code causing to determine a learning policy for the learning content based on a result of analyzing the third brain wave signal using learning success criterion and the learning state measurement index.

Abstract: One embodiment proposes a brainwave-based cognitive function evaluation method. The brainwave-based cognitive function evaluation method includes deriving a predicted response intended by an evaluation subject based on evaluation data including brainwaves of the evaluation subject for a specific task, generating a response accuracy including voice clarity, whether an answer matches, and answer meaning accuracy based on the predicted response and a preset correct answer for the specific task, and evaluating a cognitive function of the evaluation subject based on the response accuracy.

Abstract: A user-customized language derivation method based on brainwaves includes deriving utterance intent by analyzing brainwaves of a user, and deriving an intended language of the user based on the utterance intent and a preset user-customized vocabulary, and deriving a user-customized language by inputting the intended language and situation information of the user to a preset large language model, wherein the large language model is pre-trained to output the user-customized language by considering the user-customized vocabulary and the situation information of the user.

Abstract: A learning support apparatus according to an embodiment of the present disclosure may include a processor; and a memory electrically connected to the processor and storing at least one code executed by the processor, in which when the memory is executed through the processor, the processor may measure a first brain wave signal in a resting state of a subject, and measures a second brain wave signal in a learning state of test content, determine a learning state measurement index of the subject, determine a learning success criterion of the subject, measure a third brain wave signal of the subject while learning content is provided to the subject, and store a code causing to determine a learning policy for the learning content based on a result of analyzing the third brain wave signal using learning success criterion and the learning state measurement index.