ERIC Number: ED675565
Record Type: Non-Journal
Publication Date: 2024
Pages: 9
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: N/A
Available Date: 0000-00-00
Open Science and Educational Data Mining: Which Practices Matter Most?
Ryan S. Baker; Stephen Hutt; Christopher A. Brooks; Namrata Srivastava; Caitlin Mills
International Educational Data Mining Society, Paper presented at the International Conference on Educational Data Mining (EDM) (17th, Atlanta, GA, Jul 14-17, 2024)
Open science has become an important part of contemporary science, and some open science practices (such as data sharing) have been prominent aspects of Educational Data Mining (EDM) since the start of the field. There have been recent pushes for EDM to more fully embrace the range of open science practices that are seen in other fields. In this paper, we review some of the practices that have become common in fields such as psychology, and critically examine the benefits and costs of adopting these practices within EDM. We conclude with a summary set of recommendations for the field. [For the complete proceedings, see ED675485.]
Descriptors: Information Retrieval, Data Analysis, Information Technology, Psychology, Scientific Research, Access to Information, Data Use
International Educational Data Mining Society. e-mail: admin@educationaldatamining.org; Web site: https://educationaldatamining.org/conferences/
Publication Type: Speeches/Meeting Papers; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: N/A

Peer reviewed
