Emotions and Personality in Adaptive e-Learning Systems: An Affective Computing Perspective

  title={Emotions and Personality in Adaptive e-Learning Systems: An Affective Computing Perspective},
  author={Olga C. Santos},
  booktitle={Emotions and Personality in Personalized Services},
  • O. Santos
  • Published in
    Emotions and Personality in…
  • Psychology
This chapter reports how affective computing (in terms of detection methods and intervention approaches) is considered in adaptive e-learning systems. The goal behind is to enrich the personalized support provided in online educational settings by taking into account the influence that emotions and personality have in the learning process. The main contents of the chapter consist in the review of 26 works that present current research trends regarding the detection of the learners’ affective… 

On Incorporating Affective Support to an Intelligent Tutoring System: an Empirical Study

Results show that it is possible to use classification approaches to predict positive and negative variations in dominance, valence, arousal, and performance to a reasonable level of accuracy.

Some insights into the impact of affective information when delivering feedback to students

A case study with 48 secondary school students using an Intelligent Tutoring System for arithmetical word problem solving reveals that feedback was more effective when no emotional content was included in the messages, and lead to the conclusion that purely instructional and concise help messages are more important than the emotional reinforcement contained therein.

Effect of emotion-aware interventions on students’ behavioral and emotional states

The goal of this research is to investigate the effect of emotion-aware interventions on students’ behavioral and emotional states. To this end, we collected data from 12 students in the 9th grade in

Towards an Online Continuous Adaptation Mechanism (OCAM) for Enhanced Engagement: An EEG Study

Learners’ levels of concentration and cognitive load were positively influenced by the OCAM, which significantly increased their engagement, and the proposed OCAM can improve learners’ ability to process specific information meaningfully and make the inferences necessary for understanding the learning content.

An architectural design and evaluation of an affective tutoring system for novice programmers

  • H. Fwa
  • Education
    International Journal of Educational Technology in Higher Education
  • 2018
The results revealed that the full affective version of the A TS results in more effective tutoring as compared to the version with the affective function disabled and the students are positive on their learning experience with the ATS with the fill in the gap exercises and hints being most highly rated.

Impact of Physiological Signals Acquisition in the Emotional Support Provided in Learning Scenarios

Improvements in the quality of the acquired signals allow better recognition of the emotional states and AICARP.V3 gives a more accurate personalized emotional support to the user, based on a rule-based approach that triggers multisensorial feedback, if necessary.

BIG-AFF: Exploring Low Cost and Low Intrusive Infrastructures for Affective Computing in Secondary Schools

The main issues involved in two user studies carried out with high school learners are described, and some open problems that arose when designing the corresponding experimental settings are highlighted.

Emotion detection: a technology review

A thorough review of current technologies to detect human emotions, exploring the different sources from which emotions can be read, along with existing technologies developed to recognize them and some application domains in which this technology has been applied.

Affective and Behavioral Assessment for Adaptive Intelligent Tutoring Systems

This work deals with the use of low cost and low intrusive devices to gather contextual data to losely drive the actions of an ITS without constructing a fully structured student model with corresponding affective and behavioral states.


In recent years, considerable interest has been devoted to the application of games for educational purposes due to their potential to improve learning process and learning outcomes. Such trend can



Using an affective multimedia learning framework for distance learning to motivate the learner effectively

The aim of this paper is to present the affective multimedia learning framework of the MENTOR as well as the web and multimedia technologies which were used for its implementation. The MENTOR is an

Toward interactive context-aware affective educational recommendations in computer-assisted language learning

This work has come up with what is most likely the first interactive context-aware affective educational recommendation that takes advantage of ambient intelligence and is delivered through actuators available in the environment.

A Methodological Approach to Eliciting Affective Educational Recommendations

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Affective e-Learning: Using "Emotional" Data to Improve Learning in Pervasive Learning Environment

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Developing Empirically Based Student Personality Profiles for Affective Feedback Models

An analysis of a large student affect corpus collected from three separate studies indicates that student personality profiles can serve as a powerful tool for informing affective feedback models.

Integrating Learning Styles and Personality Traits into an Affective Model to Support Learner's Learning

The proposed model makes use of an ontological approach in combination with the Bayesian Network model and contributes to the efficient management of the LAM in an Affective Module.

An affective model of interplay between emotions and learning: reengineering educational pedagogy-building a learning companion

A novel model is proffers by which to regard the interplay of emotions upon learning and the larger practical aim of crafting computer-based models that will recognize a learner's affective state and respond appropriately to it, so that learning will proceed at an optimal pace.

The impact of feedback on students' affective states

The results indicate the importance of providing feedback matched carefully to the affective state of the students in order to help them transition into more positive states, and other ways to adapt the feedback are discussed.

Modelling Affect in Learning Environments - Motivation and Methods

  • S. AfzalP. Robinson
  • Computer Science
    2010 10th IEEE International Conference on Advanced Learning Technologies
  • 2010
This paper draws on the recent surge of interest in studying emotions in learning, highlights available techniques for measuring emotions and surveys recent efforts to automatically measure emotional experience in learning environments, and develops an automatic system for modeling six pertinent emotions.