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Call for papers

We invite papers which present complete, in progress, or theoretical research on the following topics. Case studies and review papers are also encouraged.

Based on the quality of the submissions we are considering publishing post-workshop proceedings in a special issue on Affect and Learning for the International Journal of Learning Technology. Authors will be required to provide expanded versions of their submissions which will undergo an additional review process for inclusion in the special issue.

Links between Affect and Learning: Empirical Research and Theory

  • The complex interplay between cognition, motivation, and affect

  • How does the term "affect" relate to terms such as motivation, emotion, feeling and mood? Can we define these related terms clearly and distinctly from affect?

  • The impact of emotions on knowledge acquisition (learning) and transfer

  • The effect of emotions on cognitive abilities, self-regulated learning activities, and learning styles (e.g. goal or mastery oriented), personality traits (shy, pessimistic)

  • How do different learning domains -e.g. Science, Mathematics, Languages influence a student's affective states

  • How do different learning contexts - e.g. individual, collaborative, formal or informal – influence a student's affective states

  • Environmental factors that cause affective experiences and launch affect trajectories

  • Mixed models of affect

Pedagogical Strategies that Incorporate Affect

  • Pedagogical strategies to optimally manage specific affective states

  • Reactive or proactive interventions to relieve negative emotions

  • Interventions to facilitate positive affective states (such as interest, engagement)

  • Implementations of these strategies in tutoring systems and learning companions

Affect Measurement by Humans and Computers

  • Machine learning techniques to diagnose and detect affect in learning contexts

  • Use of tutoring contextual information to predict affect

  • Multisensory affect recognition

  • Methods to establish construct validity in measuring affect (a conceptual quality)

  • Inferring affect without the use of explicit emotion categories

  • Methods to validate the accuracy of affect recognition systems

Affect Expression by Humans and Computers

  • Individual differences in experiencing and manifesting affect.

  • Affect synthesis by embodied conversational agents

  • Implications of affect expression on embodied theories of cognition.

Applications of Affective Interfaces

  • Applications of affective computing for creative/memorable learning experiences

  • Case studies on affect-sensitive learning environments.