Titlebook: Artificial Intelligence in Education; 16th International C H. Chad Lane,Kalina Yacef,Philip Pavlik Conference proceedings 2013 Springer-Ver

微不足道

Introduction: Appreciating Both, but a fairly stable pattern for the remainder of the session, with participants who experienced other basic emotional states, transitioning back to a state of neutral between self-reports. Agreement between channels was 75.6%.

流动才波动

Ling Chen,Jian An Zhu,Hanqing Fangy study by analysing micro-blogging content collected within a learning simulator for interpersonal communication. A group interview with simulator designers evinced benefits for gaining insights into learner reactions and further simulator improvement.

接合

resuscitation

Aligning and Comparing Data on Emotions Experienced during Learning with MetaTutor, but a fairly stable pattern for the remainder of the session, with participants who experienced other basic emotional states, transitioning back to a state of neutral between self-reports. Agreement between channels was 75.6%.

antipsychotic

ViewS in User Generated Content for Enriching Learning Environments: A Semantic Sensing Approachy study by analysing micro-blogging content collected within a learning simulator for interpersonal communication. A group interview with simulator designers evinced benefits for gaining insights into learner reactions and further simulator improvement.

Figate

Introduction: Appreciating Bothe theories of affect underlying the design and how the agent’s affective behavior is defined and implemented. Finally, the evaluation of a detector-driven categorization of student behavior, that guides the agent’s affective interventions, against a categorization performed by human coders, is presented.

Crepitus

Amy Schuman,Stacy Stutz,John L. Wardterial. These results suggest that design for optimal engagement within online learning may require further study of the factors leading students to become bored on difficult material, and frustrated on very well-known material.

悬挂

使厌恶

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