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Applying a Framework for Student Modeling in Exploratory Learning Environments: Comparing Data Representation Granularity to Handle Environment Complexity
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Fratamico, Lauren; Conati, Cristina; Kardan, Samad; Roll, Ido – International Journal of Artificial Intelligence in Education, 2017
Interactive simulations can facilitate inquiry learning. However, similarly to other Exploratory Learning Environments, students may not always learn effectively in these unstructured environments. Thus, providing adaptive support has great potential to help improve student learning with these rich activities. Providing adaptive support requires a…
Descriptors: Computer Simulation, Models, Educational Environment, Comparative Analysis
Commentary on: "Toward Computer-Based Support of Metacognitive Skills: A Computational Framework to Coach Self Explanation"
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Conati, Cristina – International Journal of Artificial Intelligence in Education, 2016
This paper is a commentary on "Toward Computer-Based Support of Meta-Cognitive Skills: a Computational Framework to Coach Self-Explanation", by Cristina Conati and Kurt Vanlehn, published in the "IJAED" in 2000 (Conati and VanLehn 2010). This work was one of the first examples of Intelligent Learning Environments (ILE) that…
Descriptors: Metacognition, Intelligent Tutoring Systems, Skill Development, Artificial Intelligence
Interaction with an Edu-Game: A Detailed Analysis of Student Emotions and Judges' Perceptions
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Conati, Cristina; Gutica, Mirela – International Journal of Artificial Intelligence in Education, 2016
We present the results of a study that explored the emotions experienced by students during interaction with an educational game for math (Heroes of Math Island). Starting from emotion frameworks in affective computing and education, we considered a larger set of emotions than in related research. For emotion labeling, we started from a standard…
Descriptors: Educational Games, Emotional Response, Evaluators, Interrater Reliability
Understanding Attention to Adaptive Hints in Educational Games: An Eye-Tracking Study
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Conati, Cristina; Jaques, Natasha; Muir, Mary – International Journal of Artificial Intelligence in Education, 2013
This paper presents a user study that investigates the factors affecting student attention to user-adaptive hints during interaction with an educational computer game. The study focuses on Prime Climb, an educational game designed to provide individualized support for learning number factorization skills in the form of textual hints based on a…
Descriptors: Eye Movements, Interaction, Educational Games, Computer Games
Knowledge Elicitation Methods for Affect Modelling in Education
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Porayska-Pomsta, Kaska; Mavrikis, Manolis; D'Mello, Sidney; Conati, Cristina; Baker, Ryan S. J. d. – International Journal of Artificial Intelligence in Education, 2013
Research on the relationship between affect and cognition in Artificial Intelligence in Education (AIEd) brings an important dimension to our understanding of how learning occurs and how it can be facilitated. Emotions are crucial to learning, but their nature, the conditions under which they occur, and their exact impact on learning for different…
Descriptors: Intelligent Tutoring Systems, Psychological Patterns, Data Collection, Affective Measures
Scaffolding Meta-Cognitive Skills for Effective Analogical Problem Solving via Tailored Example Selection
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Muldner, Kasia; Conati, Cristina – International Journal of Artificial Intelligence in Education, 2010
Although worked-out examples play a key role in cognitive skill acquisition, research demonstrates that students have various levels of meta-cognitive abilities for using examples effectively. The Example Analogy (EA)-Coach is an Intelligent Tutoring System that provides adaptive support to foster meta-cognitive behaviors relevant to a specific…
Descriptors: Intelligent Tutoring Systems, Problem Solving, Cognitive Psychology, Thinking Skills