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ERIC Number: ED607784
Record Type: Non-Journal
Publication Date: 2020-Jul
Pages: 861
Abstractor: ERIC
ISBN: 978-1-7336736-1-7
Proceedings of the International Conference on Educational Data Mining (EDM) (13th, Online, July 10-13, 2020)
Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed.
International Educational Data Mining Society
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.
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
International Educational Data Mining Society. e-mail:; Web site:
Publication Type: Collected Works - Proceedings
Education Level: Elementary Secondary Education; Higher Education; Postsecondary Education; Grade 9; High Schools; Junior High Schools; Middle Schools; Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: International Educational Data Mining Society
Identifiers - Location: Uruguay; Brazil
Grant or Contract Numbers: N/A