1. A computer implemented method for integrating affective based user data with traditional cognitive data in computer adaptive learning comprising: presenting to a learner one or more instructional components linked to full instructional component metadata for the adaptive learning system to reference; capturing, by a camera in communication with one or more processors, affective data in a learning profile for the learner in reaction to the one or more instructional components, wherein the affective data includes facial expression data captured while the one or more instructional components are presented, and wherein the affective data is captured at least once every three seconds; inferring emotional states of the learner, using the one or more processors to analyze the facial expression data which was captured; capturing cognitive data for the learner based on the learner's correct or incorrect answer to the one or more instructional components, wherein the cognitive data is indicative of the learner's performance in responding to the one or more instructional components; combining the cognitive data and the affective data and performing algorithmic analysis to determine the adaptive instruction based on a positive or negative adaptivity score, wherein the negative adaptivity score is based on at least one of a negative emotional state and a negative cognitive score based on incorrect answers to the one or more instructional components and indicates a need to provide an alternative learning pathway relating to the one or more instructional components, and the positive adaptivity score is based on at least one of a positive emotional state and a positive cognitive score based on correct answers to the one or more instructional components and indicates that the individual is prepared for advancement to a higher level of learning; generating a learner profile, populating the learner profile with the adaptivity score; and generating supplemental learner profile data by combining the cognitive data and affective data and comparing the supplemental learner profile data to a normed learner population data to select an adaptive instruction to provide to the learner; populating the learner profile with the cognitive score to provide a learner profile containing one or more preferred learning modalities for the learner, presenting to the learner the adaptive instruction, wherein the adaptive instruction comprises alternative remedial instructional components relating to the one or more instructional components in the event of a negative adaptivity score, and advanced instructional components in the event of a positive adaptivity score, wherein the remedial instructional components and the advanced instructional components are linked to full instructional component metadata; and wherein the step of presenting to the learner the adaptive instruction further takes into account the supplemental learner profile data, including cognitive data, affective data, the normed learner population data, and the one or more preferred learning modalities for the learner.
1. A computer implemented method for integrating affective based user data with traditional cognitive data in computer adaptive learning comprising: presenting to a learner one or more instructional components linked to full instructional component metadata for the adaptive learning system to reference; capturing, by a camera in communication with one or more processors, affective data in a learning profile for the learner in reaction to the one or more instructional components, wherein the affective data includes facial expression data captured while the one or more instructional components are presented, and wherein the affective data is captured at least once every three seconds; inferring emotional states of the learner, using the one or more processors to analyze the facial expression data which was captured; capturing cognitive data for the learner based on the learner's correct or incorrect answer to the one or more instructional components, wherein the cognitive data is indicative of the learner's performance in responding to the one or more instructional components; combining the cognitive data and the affective data and performing algorithmic analysis to determine the adaptive instruction based on a positive or negative adaptivity score, wherein the negative adaptivity score is based on at least one of a negative emotional state and a negative cognitive score based on incorrect answers to the one or more instructional components and indicates a need to provide an alternative learning pathway relating to the one or more instructional components, and the positive adaptivity score is based on at least one of a positive emotional state and a positive cognitive score based on correct answers to the one or more instructional components and indicates that the individual is prepared for advancement to a higher level of learning; generating a learner profile, populating the learner profile with the adaptivity score; and generating supplemental learner profile data by combining the cognitive data and affective data and comparing the supplemental learner profile data to a normed learner population data to select an adaptive instruction to provide to the learner; populating the learner profile with the cognitive score to provide a learner profile containing one or more preferred learning modalities for the learner, presenting to the learner the adaptive instruction, wherein the adaptive instruction comprises alternative remedial instructional components relating to the one or more instructional components in the event of a negative adaptivity score, and advanced instructional components in the event of a positive adaptivity score, wherein the remedial instructional components and the advanced instructional components are linked to full instructional component metadata; and wherein the step of presenting to the learner the adaptive instruction further takes into account the supplemental learner profile data, including cognitive data, affective data, the normed learner population data, and the one or more preferred learning modalities for the learner. 16. The method of claim 1 , wherein the metadata comprises at least one of: a target grade level, a target difficulty level, and a significantly valid average affective rating.