Abstract
The emotional state of the learner is an important factor that must be taken into consideration during evaluating learning process and managing learning flows in computer based learning environments. This factor has a significant impact on the process of interaction between the learner and the learning environment. Enriching this type of interaction make the learning flow more dynamic based on emotional and mental responses of the learners. This approach can manage various learning flows based on learner's capabilities which lead to enhance the learning process outcome. This article provides data on learners' emotional states during their interaction with learning environment and other data that describe their learning activities and learning flows. The learning activities data is a combination of data that represents summary of learners' emotional states and data that represents the mental responses per learning session. All of emotional states data and mental responses data are used to provide the next learning level for each learner using fuzzy rules. The datasets are hosted in the Mendeley Dataset Repository (Megahed, 2019).
Highlights
Data on learners emotional states, mental responses and fuzzy learning flows during interaction with learning environment
The emotional state of the learner is an important factor that must be taken into consideration during evaluating learning process and managing learning flows in computer based learning environments
Human Computer Interaction Learners Emotional and Mental Interaction Tables, Figures Direct experiments on a group consisted of 12 learners Raw and analyzed To examine how the integration between emotional states as emotional responses and mental responses of the learner during the interaction with the learning environment moderate the learning flow using fuzzy system A set of features that is categorized into two types of features
Summary
Data on learners emotional states, mental responses and fuzzy learning flows during interaction with learning environment. The emotional state of the learner is an important factor that must be taken into consideration during evaluating learning process and managing learning flows in computer based learning environments. This factor has a significant impact on the process of interaction between the learner and the learning environment. Enriching this type of interaction make the learning flow more dynamic based on emotional and mental responses of the learners. This article provides data on learners' emotional states during their interaction with learning environment and other data that describe their learning activities and learning flows.
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