rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Intelligent Tutoring Systems
    sub title: 15th International Conference, ITS 2019, Kingston, Jamaica, June 3-7, 2019, Proceedings
  name:
    name part: Coy, Andre.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Hayashi, Yugo.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Chang, Maiga.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2019
    edition: 1st ed. 2019.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XV, 246 p. 80 illus., 42 illus. in color. online resource.
  abstract: This book constitutes the proceedings of the 15th International Conference on Intelligent Tutoring Systems, ITS 2019, held in Kingston, Jamaica, in June 2019. The 14 full papers and 13 short papers presented in this volume were carefully reviewed and selected from 42 submissions. In the back matter of the volume 4 poster papers are included. They deal with the use of advanced computer technologies and interdisciplinary research for enabling, supporting, and enhancing human learning.
  table of contents: 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 Adversarial Game 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 a…
  note: edited by Andre Coy, Yugo Hayashi, Maiga Chang.
  subject:
    topic: Education-Data processing
  subject:
    topic: Application software
  subject:
    topic: Data mining
  subject:
    topic: User interfaces (Computer systems)
  subject:
    topic: Artificial intelligence
  subject:
    topic: Optical data processing
  subject:
    topic: Computers and Education
  subject:
    topic: Computer Appl. in Social and Behavioral Sciences
  subject:
    topic: Data Mining and Knowledge Discovery
  subject:
    topic: User Interfaces and Human Computer Interaction
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Image Processing and Computer Vision
  classification: LB1028.43-1028.75
  classification: 374.26
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Programming and Software Engineering ; 11528
  identifier: 9783030222444
  identifier: https://doi.org/10.1007/978-3-030-22244-4
  record info:
    record creation date: 190529
    record change date: 20191220131306.0
    record identifier: 978-3-030-22244-4