Abstract:
A digital instructional environment leverages an infrared eye-tracker to monitor a learner's reading and viewing of text and simulations for subject matter. The system detects out-of-order reading/viewing patterns that could lead to poor comprehension. The digital learning environment communicates with other tutorial components including simulation environments, pedagogical agents and may respond in real-time to such patterns with messages that guide learners (knowledge acquirers) to return to effective reading/viewing patterns so as to promote effective construction of mental model(s) developed during knowledge acquisition/learning.
Abstract:
A digital instructional environment leverages an infrared eye-tracker to monitor a learner's reading and viewing of text and simulations for subject matter. The system detects out-of-order reading/viewing patterns that could lead to poor comprehension. The digital learning environment communicates with other tutorial components including simulation environments, pedagogical agents and may respond in real-time to such patterns with messages that guide learners (knowledge acquirers) to return to effective reading/viewing patterns so as to promote effective construction of mental model(s) developed during knowledge acquisition/learning.
Abstract:
An assessment engine includes a definition of inquiry skills being assessed. Assessment models are used to infer skill demonstration as one or more students engage in inquiry within computerized simulations and/or microworlds. A pedagogical agent and/or help system provides real-time feedback to one or more students based on the assessment model outputs, and/or based on additional models that track one or more students developing proficiency across inquiry tasks over time. A pedagogical agent and/or help system for science inquiry tutoring responds in real-time on the basis of knowledge-engineered and data-mined assessment and/or tracking models.
Abstract:
A digital instructional environment leverages an infrared eye-tracker to monitor a learner's reading and viewing of text and simulations for subject matter. The system detects out-of-order reading/viewing patterns that could lead to poor comprehension. The digital learning environment communicates with other tutorial components including simulation environments, pedagogical agents and may respond in real-time to such patterns with messages that guide learners (knowledge acquirers) to return to effective reading/viewing patterns so as to promote effective construction of mental model(s) developed during knowledge acquisition/learning.
Abstract:
An assessment engine includes a definition of inquiry skills being assessed. Assessment models are used to infer skill demonstration as one or more students engage in inquiry within computerized simulations and/or microworlds. A pedagogical agent and/or help system provides real-time feedback to one or more students based on the assessment model outputs, and/or based on additional models that track one or more students developing proficiency across inquiry tasks over time. A pedagogical agent and/or help system for science inquiry tutoring responds in real-time on the basis of knowledge-engineered and data-mined assessment and/or tracking models.
Abstract:
An assessment engine includes a definition of inquiry skills being assessed. Assessment models are used to infer skill demonstration as one or more students engage in inquiry within computerized simulations and/or microworlds. A pedagogical agent and/or help system provides real-time feedback to one or more students based on the assessment model outputs, and/or based on additional models that track one or more students developing proficiency across inquiry tasks over time. A pedagogical agent and/or help system for science inquiry tutoring responds in real-time on the basis of knowledge-engineered and data-mined assessment and/or tracking models.
Abstract:
A digital instructional environment leverages an infrared eye-tracker to monitor a learner's reading and viewing of text and simulations for subject matter. The system detects out-of-order reading/viewing patterns that could lead to poor comprehension. The digital learning environment communicates with other tutorial components including simulation environments, pedagogical agents and may respond in real-time to such patterns with messages that guide learners (knowledge acquirers) to return to effective reading/viewing patterns so as to promote effective construction of mental model(s) developed during knowledge acquisition/learning.
Abstract:
An assessment engine includes a definition of inquiry skills being assessed. Assessment models are used to infer skill demonstration as one or more students engage in inquiry within computerized simulations and/or microworlds. A pedagogical agent and/or help system provides real-time feedback to one or more students based on the assessment model outputs, and/or based on additional models that track one or more students developing proficiency across inquiry tasks over time. A pedagogical agent and/or help system for science inquiry tutoring responds in real-time on the basis of knowledge-engineered and data-mined assessment and/or tracking models.
Abstract:
An assessment engine includes a definition of inquiry skills being assessed. Assessment models are used to infer skill demonstration as one or more students engage in inquiry within computerized simulations and/or microworlds. A pedagogical agent and/or help system provides real-time feedback to one or more students based on the assessment model outputs, and/or based on additional models that track one or more students developing proficiency across inquiry tasks over time. A pedagogical agent and/or help system for science inquiry tutoring responds in real-time on the basis of knowledge-engineered and data-mined assessment and/or tracking models.
Abstract:
An assessment engine includes a definition of inquiry skills being assessed. Assessment models are used to infer skill demonstration as one or more students engage in inquiry within computerized simulations and/or microworlds. A pedagogical agent and/or help system provides real-time feedback to one or more students based on the assessment model outputs, and/or based on additional models that track one or more students developing proficiency across inquiry tasks over time. A pedagogical agent and/or help system for science inquiry tutoring responds in real-time on the basis of knowledge-engineered and data-mined assessment and/or tracking models.