NotesFAQContact Us
Collection
Advanced
Search Tips
Back to results
Peer reviewed Peer reviewed
PDF on ERIC Download full text
ERIC Number: ED592609
Record Type: Non-Journal
Publication Date: 2016
Pages: 724
Abstractor: ERIC
ISBN: N/A
ISSN: N/A
Proceedings of the International Conference on Educational Data Mining (EDM) (9th, Raleigh, North Carolina, June 29-July 2, 2016)
Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed.
International Educational Data Mining Society
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis 2013, Chania 2012, Eindhoven 2011, Pittsburgh 2010, Cordoba 2009 and Montreal 2008). The EDM conference is the leading international forum for high-quality research that leverages educational data, learning analytics, and machine learning to answer research questions that shed light on the learning processes. This year's conference features three invited talks by: Rakesh Agrawal, President and Founder of Data Insights Laboratories; Marcia C. Linn, Professor of the University of California at Berkeley; and Judy Kay, Professor of the University of Sydney. Judy Kay's invited paper entitled "Enabling people to harness and control EDM for lifelong, life-wide learning" is also presented in the proceedings. Together with the "Journal of Educational Data Mining" ("JEDM"), the EDM 2016 conference supports a "JEDM" Track that provides researchers a venue to deliver more substantial mature work than is possible in a conference proceedings and to present their work to a live audience. The papers submitted to this track followed the "JEDM" peer review process; three papers have been accepted to the track and were presented at the conference. The abstracts of the invited talks, panels and accepted "JEDM" Track papers can be found in these proceedings. [For the 2015 proceedings, see ED560503.]
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction, Lifelong Learning, Curriculum Design, Performance, Prediction, Online Courses, Large Group Instruction, Writing Processes, Keyboarding (Data Entry), Eye Movements, Films, Problem Solving, Mathematics, Young Children, Graphs, Models, Peer Evaluation, Grading, Sequential Approach, Educational Games, Intelligent Tutoring Systems, Internet, Self Evaluation (Individuals), Student Behavior, Cultural Differences, Academic Ability, Information Retrieval, Learning Theories, Web Based Instruction, Programming, Knowledge Level, Algebra, Educational Technology, Technology Uses in Education, Semantics, Word Problems (Mathematics), Mathematics Achievement, High School Students, Intelligence, Classification, Educational Objectives, Questioning Techniques, Skill Development, Interaction, Enrollment, Automation, Integrated Learning Systems, Teaching Methods, Student Diversity, Chemistry, Feedback (Response), Course Content, Emotional Response, Dropouts, Markov Processes, Simulation, Gender Differences, Homework, Middle School Students, Item Response Theory, Cooperation, Statistical Analysis, Competition, Student Placement, Social Development, Generalization, Task Analysis, Learner Engagement, Electronic Publishing, Cooperative Learning, Computer Simulation, Concept Formation, Evaluation Methods, Engineering, Internship Programs, Reinforcement, Communities of Practice, Museums, At Risk Students, Teamwork, Artificial Intelligence, Decision Making, College Students, After School Programs, Social Influences, STEM Education, Concept Mapping, Scoring, Equal Education, Employment, Grades (Scholastic), Misconceptions, Physics, Foreign Countries, Communication Strategies, Time on Task, Vocabulary Development, Psychomotor Skills, Assignments, Writing Skills, Blended Learning, Developing Nations
International Educational Data Mining Society. e-mail: admin@educationaldatamining.org; Web site: http://www.educationaldatamining.org
Publication Type: Collected Works - Proceedings
Education Level: High Schools; Secondary Education; Middle Schools; Junior High Schools; Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: International Educational Data Mining Society
Identifiers - Location: Illinois (Chicago); Afghanistan