Related references
Note: Only part of the references are listed.Garbage In, Garbage Out? Do Machine Learning Application Papers in Social Computing Report Where Human-Labeled Training Data Comes From?
R. Stuart Geiger et al.
FAT* '20: PROCEEDINGS OF THE 2020 CONFERENCE ON FAIRNESS, ACCOUNTABILITY, AND TRANSPARENCY (2020)
Evaluation of construct-irrelevant variance yielded by machine and human scoring of a science teacher PCK constructed response assessment
Xiaoming Zhai et al.
STUDIES IN EDUCATIONAL EVALUATION (2020)
From substitution to redefinition: A framework of machine learning-based science assessment
Xiaoming Zhai et al.
JOURNAL OF RESEARCH IN SCIENCE TEACHING (2020)
A probabilistic classifier ensemble weighting scheme based on cross-validated accuracy estimates
James Large et al.
DATA MINING AND KNOWLEDGE DISCOVERY (2019)
Designing Knowledge-In-Use Assessments to Promote Deeper Learning
Christopher J. Harris et al.
EDUCATIONAL MEASUREMENT-ISSUES AND PRACTICE (2019)
Automated text scoring and real-time adjustable feedback: Supporting revision of scientific arguments involving uncertainty
Hee-Sun Lee et al.
SCIENCE EDUCATION (2019)
The effectiveness of machine score-ability ratings in predicting automated scoring performance
Susan Lottridge et al.
APPLIED MEASUREMENT IN EDUCATION (2018)
Validation of Automated Scoring for a Formative Assessment that Employs Scientific Argumentation
Liyang Mao et al.
EDUCATIONAL ASSESSMENT (2018)
Investigating the impact of automated feedback on students' scientific argumentation
Mengxiao Zhu et al.
INTERNATIONAL JOURNAL OF SCIENCE EDUCATION (2017)
The Impact of Misspelled Words on Automated Computer Scoring: A Case Study of Scientific Explanations
Minsu Ha et al.
JOURNAL OF SCIENCE EDUCATION AND TECHNOLOGY (2016)
Automated Scoring of Constructed-Response Science Items: Prospects and Obstacles
Ou Lydia Liu et al.
EDUCATIONAL MEASUREMENT-ISSUES AND PRACTICE (2014)
Proficiency in Science: Assessment Challenges and Opportunities
James W. Pellegrino
SCIENCE (2013)
Share Paper
