| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Automated Scoring of Chinese Grades 7–9 Students’ Competence in Interpreting and Arguing from Evidence
|
Wang, Cong
|
|
|
30 |
2 |
p. 269-282
|
artikel
|
| 2 |
Combining Machine Learning and Qualitative Methods to Elaborate Students’ Ideas About the Generality of their Model-Based Explanations
|
Rosenberg, Joshua M.
|
|
|
30 |
2 |
p. 255-267
|
artikel
|
| 3 |
Commentary—Applying Machine Learning in Science Assessment: Opportunity and Challenges
|
Krajcik, Joseph S.
|
|
|
30 |
2 |
p. 313-318
|
artikel
|
| 4 |
Comparison of Machine Learning Performance Using Analytic and Holistic Coding Approaches Across Constructed Response Assessments Aligned to a Science Learning Progression
|
Jescovitch, Lauren N.
|
|
|
30 |
2 |
p. 150-167
|
artikel
|
| 5 |
Computational Modeling of the Effects of the Science Writing Heuristic on Student Critical Thinking in Science Using Machine Learning
|
Lamb, Richard
|
|
|
30 |
2 |
p. 283-297
|
artikel
|
| 6 |
Correction to: Combining Machine Learning and Qualitative Methods to Elaborate Students’ Ideas About the Generality of their Model-Based Explanations
|
Rosenberg, Joshua M.
|
|
|
30 |
2 |
p. 268
|
artikel
|
| 7 |
How Does Augmented Observation Facilitate Multimodal Representational Thinking? Applying Deep Learning to Decode Complex Student Construct
|
Sung, Shannon H.
|
|
|
30 |
2 |
p. 210-226
|
artikel
|
| 8 |
Machine Learning-Enabled Automated Feedback: Supporting Students’ Revision of Scientific Arguments Based on Data Drawn from Simulation
|
Lee, Hee-Sun
|
|
|
30 |
2 |
p. 168-192
|
artikel
|
| 9 |
On the Validity of Machine Learning-based Next Generation Science Assessments: A Validity Inferential Network
|
Zhai, Xiaoming
|
|
|
30 |
2 |
p. 298-312
|
artikel
|
| 10 |
Practices and Theories: How Can Machine Learning Assist in Innovative Assessment Practices in Science Education
|
Zhai, Xiaoming
|
|
|
30 |
2 |
p. 139-149
|
artikel
|
| 11 |
Relationships between Facial Expressions, Prior Knowledge, and Multiple Representations: a Case of Conceptual Change for Kinematics Instruction
|
Liaw, Hongming
|
|
|
30 |
2 |
p. 227-238
|
artikel
|
| 12 |
Testing the Impact of Novel Assessment Sources and Machine Learning Methods on Predictive Outcome Modeling in Undergraduate Biology
|
Bertolini, Roberto
|
|
|
30 |
2 |
p. 193-209
|
artikel
|
| 13 |
Using Machine Learning to Score Multi-Dimensional Assessments of Chemistry and Physics
|
Maestrales, Sarah
|
|
|
30 |
2 |
p. 239-254
|
artikel
|
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