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Proceedings of the International Conference on Educational Data Mining (EDM) (13th, Online, July 10-13, 2020)

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Τίτλος: Proceedings of the International Conference on Educational Data Mining (EDM) (13th, Online, July 10-13, 2020)
Γλώσσα: English
Συγγραφείς: Rafferty, Anna N., Whitehill, Jacob, Romero, Cristobal, Cavalli-Sforza, Violetta, International Educational Data Mining Society
Πηγή: International Educational Data Mining Society. 2020.
Διαθεσιμότητα: International Educational Data Mining Society. e-mail: admin@educationaldatamining.org; Web site: http://www.educationaldatamining.org
Peer Reviewed: Y
Page Count: 861
Ημερομηνία έκδοσης: 2020
Τύπος εγγράφου: Collected Works - Proceedings
Education Level: Elementary Secondary Education
Higher Education
Postsecondary Education
Grade 9
High Schools
Junior High Schools
Middle Schools
Secondary Education
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing, Data Analysis, Equal Education, Student Diversity, Cooperative Learning, Online Courses, Demography, Transformative Learning, Blended Learning, Learning Strategies, Large Group Instruction, Artificial Intelligence, Educational Technology, Privacy, Learner Engagement, Student Motivation, Programming, Models, Game Based Learning, Competence, Problem Solving, Information Sources, Critical Theory, At Risk Students, Elementary Secondary Education, Spatial Ability, Visualization, Intervention, Student Characteristics, Automation, Remedial Reading, Handheld Devices, Video Technology, Item Response Theory, Reinforcement, Student Behavior, Prediction, Success, College Students, Data Collection, Masters Programs, Reaction Time, Reading Comprehension, College Admission, Essays, Peer Teaching, Performance, Teamwork, Student Projects, Inquiry, Electronic Publishing, Textbooks, Tests, Ethics, Legal Responsibility, Higher Education, Measurement Techniques, Reading Achievement, Grade 9, Video Games, Peer Evaluation, Secondary Schools, Computer Science Education, Physics, Feedback (Response), Semitic Languages, Technical Writing, Telecommunications, Personal Autonomy, Computer Software, Plagiarism, Curriculum, Collaborative Writing, Dropouts, Educational Assessment, Gender Differences, Difficulty Level, Social Media, Mental Health, Innovation, Student Role, Eye Movements, Foreign Countries, Bayesian Statistics, Scores, Distance Education, Student Attitudes, Scoring, Natural Language Processing, Middle School Students, Social Networks, Employment Qualifications, Intelligent Tutoring Systems, Anxiety, Second Languages, Cues, Visual Aids
Γεωγραφικοί όροι: Uruguay, Brazil
ISBN: 978-1-73367-361-7
Περίληψη: The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of presentations all paper presenters pre-recorded their presentation as a video and then hosted it on YouTube with closed-captioning (CC). The official theme of this year's conference is Improving Learning Outcomes for All Learners. The theme comprises two parts: (1) Identifying actionable learning or teaching strategies that can be used to "improve" learning outcomes, not just predict them; (2) Using EDM to promote more "equitable" learning across diverse groups of learners, and to benefit underserved communities in particular. This year's conference features three invited talks: Alina von Davier, Chief Officer at ACTNext; Abelardo Pardo, Professor and Dean of Programs (Engineering), at UniSA STEM, University of South Australia; and Kobi Gal, Associate Professor at the Department of Software and Information Systems Engineering at Ben-Gurion University of the Negev, and Reader at the School of Informatics at the University of Edinburgh.
Abstractor: ERIC
Entry Date: 2020
Αριθμός Καταχώρησης: ED607784
Βάση Δεδομένων: ERIC
FullText Text:
  Availability: 0
CustomLinks:
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DbLabel: ERIC
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AccessLevel: 3
PubType: Conference
PubTypeId: conference
PreciseRelevancyScore: 0
IllustrationInfo
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– Name: Abstract
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  Data: The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of presentations all paper presenters pre-recorded their presentation as a video and then hosted it on YouTube with closed-captioning (CC). The official theme of this year's conference is Improving Learning Outcomes for All Learners. The theme comprises two parts: (1) Identifying actionable learning or teaching strategies that can be used to "improve" learning outcomes, not just predict them; (2) Using EDM to promote more "equitable" learning across diverse groups of learners, and to benefit underserved communities in particular. This year's conference features three invited talks: Alina von Davier, Chief Officer at ACTNext; Abelardo Pardo, Professor and Dean of Programs (Engineering), at UniSA STEM, University of South Australia; and Kobi Gal, Associate Professor at the Department of Software and Information Systems Engineering at Ben-Gurion University of the Negev, and Reader at the School of Informatics at the University of Edinburgh.
– Name: AbstractInfo
  Label: Abstractor
  Group: Ab
  Data: ERIC
– Name: DateEntry
  Label: Entry Date
  Group: Date
  Data: 2020
– Name: AN
  Label: Accession Number
  Group: ID
  Data: ED607784
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=ED607784
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 861
    Subjects:
      – SubjectFull: Educational Improvement
        Type: general
      – SubjectFull: Teaching Methods
        Type: general
      – SubjectFull: Information Retrieval
        Type: general
      – SubjectFull: Data Processing
        Type: general
      – SubjectFull: Data Analysis
        Type: general
      – SubjectFull: Equal Education
        Type: general
      – SubjectFull: Student Diversity
        Type: general
      – SubjectFull: Cooperative Learning
        Type: general
      – SubjectFull: Online Courses
        Type: general
      – SubjectFull: Demography
        Type: general
      – SubjectFull: Transformative Learning
        Type: general
      – SubjectFull: Blended Learning
        Type: general
      – SubjectFull: Learning Strategies
        Type: general
      – SubjectFull: Large Group Instruction
        Type: general
      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Educational Technology
        Type: general
      – SubjectFull: Privacy
        Type: general
      – SubjectFull: Learner Engagement
        Type: general
      – SubjectFull: Student Motivation
        Type: general
      – SubjectFull: Programming
        Type: general
      – SubjectFull: Models
        Type: general
      – SubjectFull: Game Based Learning
        Type: general
      – SubjectFull: Competence
        Type: general
      – SubjectFull: Problem Solving
        Type: general
      – SubjectFull: Information Sources
        Type: general
      – SubjectFull: Critical Theory
        Type: general
      – SubjectFull: At Risk Students
        Type: general
      – SubjectFull: Elementary Secondary Education
        Type: general
      – SubjectFull: Spatial Ability
        Type: general
      – SubjectFull: Visualization
        Type: general
      – SubjectFull: Intervention
        Type: general
      – SubjectFull: Student Characteristics
        Type: general
      – SubjectFull: Automation
        Type: general
      – SubjectFull: Remedial Reading
        Type: general
      – SubjectFull: Handheld Devices
        Type: general
      – SubjectFull: Video Technology
        Type: general
      – SubjectFull: Item Response Theory
        Type: general
      – SubjectFull: Reinforcement
        Type: general
      – SubjectFull: Student Behavior
        Type: general
      – SubjectFull: Prediction
        Type: general
      – SubjectFull: Success
        Type: general
      – SubjectFull: College Students
        Type: general
      – SubjectFull: Data Collection
        Type: general
      – SubjectFull: Masters Programs
        Type: general
      – SubjectFull: Reaction Time
        Type: general
      – SubjectFull: Reading Comprehension
        Type: general
      – SubjectFull: College Admission
        Type: general
      – SubjectFull: Essays
        Type: general
      – SubjectFull: Peer Teaching
        Type: general
      – SubjectFull: Performance
        Type: general
      – SubjectFull: Teamwork
        Type: general
      – SubjectFull: Student Projects
        Type: general
      – SubjectFull: Inquiry
        Type: general
      – SubjectFull: Electronic Publishing
        Type: general
      – SubjectFull: Textbooks
        Type: general
      – SubjectFull: Tests
        Type: general
      – SubjectFull: Ethics
        Type: general
      – SubjectFull: Legal Responsibility
        Type: general
      – SubjectFull: Higher Education
        Type: general
      – SubjectFull: Measurement Techniques
        Type: general
      – SubjectFull: Reading Achievement
        Type: general
      – SubjectFull: Grade 9
        Type: general
      – SubjectFull: Video Games
        Type: general
      – SubjectFull: Peer Evaluation
        Type: general
      – SubjectFull: Secondary Schools
        Type: general
      – SubjectFull: Computer Science Education
        Type: general
      – SubjectFull: Physics
        Type: general
      – SubjectFull: Feedback (Response)
        Type: general
      – SubjectFull: Semitic Languages
        Type: general
      – SubjectFull: Technical Writing
        Type: general
      – SubjectFull: Telecommunications
        Type: general
      – SubjectFull: Personal Autonomy
        Type: general
      – SubjectFull: Computer Software
        Type: general
      – SubjectFull: Plagiarism
        Type: general
      – SubjectFull: Curriculum
        Type: general
      – SubjectFull: Collaborative Writing
        Type: general
      – SubjectFull: Dropouts
        Type: general
      – SubjectFull: Educational Assessment
        Type: general
      – SubjectFull: Gender Differences
        Type: general
      – SubjectFull: Difficulty Level
        Type: general
      – SubjectFull: Social Media
        Type: general
      – SubjectFull: Mental Health
        Type: general
      – SubjectFull: Innovation
        Type: general
      – SubjectFull: Student Role
        Type: general
      – SubjectFull: Eye Movements
        Type: general
      – SubjectFull: Foreign Countries
        Type: general
      – SubjectFull: Bayesian Statistics
        Type: general
      – SubjectFull: Scores
        Type: general
      – SubjectFull: Distance Education
        Type: general
      – SubjectFull: Student Attitudes
        Type: general
      – SubjectFull: Scoring
        Type: general
      – SubjectFull: Natural Language Processing
        Type: general
      – SubjectFull: Middle School Students
        Type: general
      – SubjectFull: Social Networks
        Type: general
      – SubjectFull: Employment Qualifications
        Type: general
      – SubjectFull: Intelligent Tutoring Systems
        Type: general
      – SubjectFull: Anxiety
        Type: general
      – SubjectFull: Second Languages
        Type: general
      – SubjectFull: Cues
        Type: general
      – SubjectFull: Visual Aids
        Type: general
      – SubjectFull: Uruguay
        Type: general
      – SubjectFull: Brazil
        Type: general
    Titles:
      – TitleFull: Proceedings of the International Conference on Educational Data Mining (EDM) (13th, Online, July 10-13, 2020)
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: International Educational Data Mining Society
      – PersonEntity:
          Name:
            NameFull: Rafferty, Anna N.
      – PersonEntity:
          Name:
            NameFull: Whitehill, Jacob
      – PersonEntity:
          Name:
            NameFull: Romero, Cristobal
      – PersonEntity:
          Name:
            NameFull: Cavalli-Sforza, Violetta
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      – BibEntity:
          Dates:
            – D: 01
              M: 07
              Type: published
              Y: 2020
          Identifiers:
            – Type: isbn-print
              Value: 978-1-73367-361-7
          Titles:
            – TitleFull: International Educational Data Mining Society
              Type: main
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