What is Learner Profile

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A part of the learner model that only contain the static information of the learner that could be gathered before developing a learner model. Learn more in: A Learner Model Based on Multi-Entity Bayesian Networks in Adaptive Hypermedia Educational Systems

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A tool capturing a breadth of characteristics about a learner, including learning history/transcripts; assessment results; learning goals; learning artifacts; strengths and challenges; aspirations and motivations; passions, interests, and preferences. Learn more in: A Vision for Deeper Agency and Personalization in Micro-Credentials

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A part of the learner model that only contain the static information of the learner that could be gathered before developing a learner model. Learn more in: A Comparative Study of the Modeling Techniques and Models of a Learner Model in Adaptive Hypermedia Educational Systems

4.

A part of the learner model that only contain the static information of the learner that could be gathered before developing a learner model. Learn more in: Managing the Learner Model With Multi-Entity Bayesian Networks in Adaptive Hypermedia Systems

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A part of the learner model that only contain the static information of the learner that could be gathered before developing a learner model. Learn more in: Implementing a Probabilistic Learner Model Into a Course Creation Application

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A part of the learner model that only contain the static information of the learner that could be gathered before developing a learner model. Learn more in: The Combination of Bayesian Networks and Stereotypes to Initialize the Learner Model in Adaptive Educational Hypermedia Systems

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The ways in which a student prefers to think, participate, and organize information. Learn more in: Differentiating Instruction for Young English Language Learners in the Content Areas

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A part of the learner model that only contain the static information of the learner that could be gathered before developing a learner model. Learn more in: A Learner Model Based on Bayesian Networks in Adaptive Educational Hypermedia Systems

9.

A part of the learner model that only contain the static information of the learner that could be gathered before developing a learner model. Learn more in: Development of Bayesian Networks From Use Case Diagrams for Managing the Learner Model

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A part of the learner model that only contain the static information of the learner that could be gathered before developing a learner model. Learn more in: The Determination of Learning Styles in a Learner Model Using the Combination of Bayesian Network and the Overlay Model

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A part of the learner model that only contain the static information of the learner that could be gathered before developing a learner model. Learn more in: Combining the Overlay Model and Bayesian Networks to Determine Learning Styles in AHES

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At the centre of the IB program is the “learner profile”, which defines the type of students the program is intended to develop, e.g., global citizens that are caring, balanced, open-minded, knowledgeable, communicative, risk-taking, principled, reflective, inquiring, and thinker. Learn more in: International School Teachers' Professional Development in Response to the Needs of Third Culture Kids in the Classroom

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A part of the learner model that only contain the static information of the learner that could be gathered before developing a learner model. Learn more in: A Comparative Study of the Functionalities and Characteristics of a Learner Model in Adaptive Hypermedia Educational Systems