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Practices and Theories: How Can Machine Learning Assist in Innovative Assessment Practices in Science Education.
- Published in:
- Journal of Science Education & Technology, 2021, v. 30, n. 2, p. 139, doi. 10.1007/s10956-021-09901-8
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- Publication type:
- Article
Comparison of Machine Learning Performance Using Analytic and Holistic Coding Approaches Across Constructed Response Assessments Aligned to a Science Learning Progression.
- Published in:
- Journal of Science Education & Technology, 2021, v. 30, n. 2, p. 150, doi. 10.1007/s10956-020-09858-0
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- Publication type:
- Article
Machine Learning-Enabled Automated Feedback: Supporting Students' Revision of Scientific Arguments Based on Data Drawn from Simulation.
- Published in:
- Journal of Science Education & Technology, 2021, v. 30, n. 2, p. 168, doi. 10.1007/s10956-020-09889-7
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- Publication type:
- Article
Testing the Impact of Novel Assessment Sources and Machine Learning Methods on Predictive Outcome Modeling in Undergraduate Biology.
- Published in:
- Journal of Science Education & Technology, 2021, v. 30, n. 2, p. 193, doi. 10.1007/s10956-020-09888-8
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- Publication type:
- Article
How Does Augmented Observation Facilitate Multimodal Representational Thinking? Applying Deep Learning to Decode Complex Student Construct.
- Published in:
- Journal of Science Education & Technology, 2021, v. 30, n. 2, p. 210, doi. 10.1007/s10956-020-09856-2
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- Publication type:
- Article
Relationships between Facial Expressions, Prior Knowledge, and Multiple Representations: a Case of Conceptual Change for Kinematics Instruction.
- Published in:
- Journal of Science Education & Technology, 2021, v. 30, n. 2, p. 227, doi. 10.1007/s10956-020-09863-3
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- Publication type:
- Article
Using Machine Learning to Score Multi-Dimensional Assessments of Chemistry and Physics.
- Published in:
- Journal of Science Education & Technology, 2021, v. 30, n. 2, p. 239, doi. 10.1007/s10956-020-09895-9
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- Publication type:
- Article
Combining Machine Learning and Qualitative Methods to Elaborate Students' Ideas About the Generality of their Model-Based Explanations.
- Published in:
- Journal of Science Education & Technology, 2021, v. 30, n. 2, p. 255, doi. 10.1007/s10956-020-09862-4
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- Publication type:
- Article
Correction to: Combining Machine Learning and Qualitative Methods to Elaborate Students' Ideas About the Generality of their Model-Based Explanations.
- Published in:
- 2021
- By:
- Publication type:
- Correction Notice
Automated Scoring of Chinese Grades 7–9 Students' Competence in Interpreting and Arguing from Evidence.
- Published in:
- Journal of Science Education & Technology, 2021, v. 30, n. 2, p. 269, doi. 10.1007/s10956-020-09859-z
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- Publication type:
- Article
Computational Modeling of the Effects of the Science Writing Heuristic on Student Critical Thinking in Science Using Machine Learning.
- Published in:
- Journal of Science Education & Technology, 2021, v. 30, n. 2, p. 283, doi. 10.1007/s10956-020-09871-3
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- Publication type:
- Article
On the Validity of Machine Learning-based Next Generation Science Assessments: A Validity Inferential Network.
- Published in:
- Journal of Science Education & Technology, 2021, v. 30, n. 2, p. 298, doi. 10.1007/s10956-020-09879-9
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- Publication type:
- Article
Commentary—Applying Machine Learning in Science Assessment: Opportunity and Challenges.
- Published in:
- 2021
- By:
- Publication type:
- Letter