| Título : |
15th International Conference, ITS 2019, Kingston, Jamaica, June 3–7, 2019, Proceedings |
| Tipo de documento: |
documento electrónico |
| Autores: |
Coy, Andre, ; Hayashi, Yugo, ; Chang, Maiga, |
| Mención de edición: |
1 ed. |
| Editorial: |
[s.l.] : Springer |
| Fecha de publicación: |
2019 |
| Número de páginas: |
XV, 246 p. 80 ilustraciones, 42 ilustraciones en color. |
| ISBN/ISSN/DL: |
978-3-030-22244-4 |
| Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
| Palabras clave: |
Interfaces de usuario (sistemas informáticos) Inteligencia artificial Interfaces de usuario e interacción persona-computadora Minería de datos y descubrimiento de conocimientos Aplicación informática en ciencias sociales y del comportamiento Visión por computador Computadoras y Educación La interacción persona-ordenador Procesamiento de datos Ciencias sociales Educación |
| Índice Dewey: |
371.334 |
| Resumen: |
Este libro constituye las actas de la 15.ª Conferencia Internacional sobre Sistemas de Tutoría Inteligentes, ITS 2019, celebrada en Kingston, Jamaica, en junio de 2019. Los 14 artículos completos y 13 artículos breves presentados en este volumen fueron cuidadosamente revisados y seleccionados entre 42 presentaciones. En la contraportada del volumen 4 se incluyen los carteles. Se ocupan del uso de tecnologías informáticas avanzadas y de la investigación interdisciplinaria para permitir, apoyar y mejorar el aprendizaje humano. |
| Nota de contenido: |
A Learning Early-warning Model Based on Knowledge Points -- Adaptive Learning Spaces with Context-Awareness -- Agents' Cognitive vs. Socio-affective Support in Response to Learner's Confusion -- An Adaptive Approach to Provide Feedback for Students in Programming Problem Solving -- Analysis and Prediction of Student Emotions While Doing Programming Exercises -- Analyzing Best Hints for a Programming IST -- Analyzing the Group Formation Process in Intelligent Tutoring Systems -- Analyzing the usage of the classical ITS software architecture and refining it -- Assessing Students' Clinical Reasoning using Gaze and EEG Features -- Computer-Aided Intervention for Reading Comprehension Disabilities -- Conceptualization of IMS that Estimates Learners' Mental States from Learners' Physiological Information Using Deep Neural Network Algorithm -- Data-Driven Student Clusters Based on Online Learning Behavior in a Flipped Classroom with an Intelligent Tutoring System -- Decision Support for an AdversarialGame Environment using Automatic Hint Generation -- Detecting Collaborative Learning through Emotions: An Investigation using Facial Expression Recognition -- Fact Checking Misinformation Using Recommendations from Emotional Pedagogical Agents -- Intelligent On-line Exam Management and Evaluation System -- Learning by Arguing in Argument-Based Machine Learning Framework -- Model for data analysis process and its relationship to the hypothesis-driven and data-driven research approaches -- On the discovery of educational patterns using biclustering -- Parent-Child Interaction in Children's Learning How to Use a New Application -- Patterns of Collaboration Dialogue Acts in Typed-Chat Group Problem-Solving -- PKULAE: A Learning Attitude Evaluation Method Based on Learning Behavior -- Predicting MOOCs Dropout Using only two easily obtainable Features from the First Week's Activities -- Predicting subjective enjoyment of aspects of a videogame from psychophysiological measures of arousal and valence.-Providing the Option to Skip Feedback – A Reproducibility Study -- Reducing Annotation Effort in Automatic Essay Evaluation Using Locality Sensitive Hashing -- Representing and Evaluating Strategies for Solving Parsons Puzzles -- Testing the Robustness of Inquiry Practices once Scaffolding is Removed -- Toward Real-Time System Adaptation using Excitement Detection from Eye Tracking -- Towards Predicting Attention And Workload During Math Problem Solving -- Using a Simulator to Choose the Best Hints in a Reinforcement Learning-Based Multimodal ITS. |
| En línea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
15th International Conference, ITS 2019, Kingston, Jamaica, June 3–7, 2019, Proceedings [documento electrónico] / Coy, Andre, ; Hayashi, Yugo, ; Chang, Maiga, . - 1 ed. . - [s.l.] : Springer, 2019 . - XV, 246 p. 80 ilustraciones, 42 ilustraciones en color. ISBN : 978-3-030-22244-4 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
| Palabras clave: |
Interfaces de usuario (sistemas informáticos) Inteligencia artificial Interfaces de usuario e interacción persona-computadora Minería de datos y descubrimiento de conocimientos Aplicación informática en ciencias sociales y del comportamiento Visión por computador Computadoras y Educación La interacción persona-ordenador Procesamiento de datos Ciencias sociales Educación |
| Índice Dewey: |
371.334 |
| Resumen: |
Este libro constituye las actas de la 15.ª Conferencia Internacional sobre Sistemas de Tutoría Inteligentes, ITS 2019, celebrada en Kingston, Jamaica, en junio de 2019. Los 14 artículos completos y 13 artículos breves presentados en este volumen fueron cuidadosamente revisados y seleccionados entre 42 presentaciones. En la contraportada del volumen 4 se incluyen los carteles. Se ocupan del uso de tecnologías informáticas avanzadas y de la investigación interdisciplinaria para permitir, apoyar y mejorar el aprendizaje humano. |
| Nota de contenido: |
A Learning Early-warning Model Based on Knowledge Points -- Adaptive Learning Spaces with Context-Awareness -- Agents' Cognitive vs. Socio-affective Support in Response to Learner's Confusion -- An Adaptive Approach to Provide Feedback for Students in Programming Problem Solving -- Analysis and Prediction of Student Emotions While Doing Programming Exercises -- Analyzing Best Hints for a Programming IST -- Analyzing the Group Formation Process in Intelligent Tutoring Systems -- Analyzing the usage of the classical ITS software architecture and refining it -- Assessing Students' Clinical Reasoning using Gaze and EEG Features -- Computer-Aided Intervention for Reading Comprehension Disabilities -- Conceptualization of IMS that Estimates Learners' Mental States from Learners' Physiological Information Using Deep Neural Network Algorithm -- Data-Driven Student Clusters Based on Online Learning Behavior in a Flipped Classroom with an Intelligent Tutoring System -- Decision Support for an AdversarialGame Environment using Automatic Hint Generation -- Detecting Collaborative Learning through Emotions: An Investigation using Facial Expression Recognition -- Fact Checking Misinformation Using Recommendations from Emotional Pedagogical Agents -- Intelligent On-line Exam Management and Evaluation System -- Learning by Arguing in Argument-Based Machine Learning Framework -- Model for data analysis process and its relationship to the hypothesis-driven and data-driven research approaches -- On the discovery of educational patterns using biclustering -- Parent-Child Interaction in Children's Learning How to Use a New Application -- Patterns of Collaboration Dialogue Acts in Typed-Chat Group Problem-Solving -- PKULAE: A Learning Attitude Evaluation Method Based on Learning Behavior -- Predicting MOOCs Dropout Using only two easily obtainable Features from the First Week's Activities -- Predicting subjective enjoyment of aspects of a videogame from psychophysiological measures of arousal and valence.-Providing the Option to Skip Feedback – A Reproducibility Study -- Reducing Annotation Effort in Automatic Essay Evaluation Using Locality Sensitive Hashing -- Representing and Evaluating Strategies for Solving Parsons Puzzles -- Testing the Robustness of Inquiry Practices once Scaffolding is Removed -- Toward Real-Time System Adaptation using Excitement Detection from Eye Tracking -- Towards Predicting Attention And Workload During Math Problem Solving -- Using a Simulator to Choose the Best Hints in a Reinforcement Learning-Based Multimodal ITS. |
| En línea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
|  |
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