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Zeitschrift

Journal of Science Education and Technology

Journal of Science Education and Technology 2/2021

Ausgabe 2/2021

Special Issue on Applying Machine Learning in Science Assessment

Inhaltsverzeichnis ( 13 Artikel )

10.02.2021 | Ausgabe 2/2021

Practices and Theories: How Can Machine Learning Assist in Innovative Assessment Practices in Science Education

Xiaoming Zhai

26.09.2020 | Ausgabe 2/2021 Open Access

Comparison of Machine Learning Performance Using Analytic and Holistic Coding Approaches Across Constructed Response Assessments Aligned to a Science Learning Progression

Lauren N. Jescovitch, Emily E. Scott, Jack A. Cerchiara, John Merrill, Mark Urban-Lurain, Jennifer H. Doherty, Kevin C. Haudek

04.01.2021 | Ausgabe 2/2021

Machine Learning-Enabled Automated Feedback: Supporting Students’ Revision of Scientific Arguments Based on Data Drawn from Simulation

Hee-Sun Lee, Gey-Hong Gweon, Trudi Lord, Noah Paessel, Amy Pallant, Sarah Pryputniewicz

04.01.2021 | Ausgabe 2/2021

Testing the Impact of Novel Assessment Sources and Machine Learning Methods on Predictive Outcome Modeling in Undergraduate Biology

Roberto Bertolini, Stephen J. Finch, Ross H. Nehm

16.09.2020 | Ausgabe 2/2021

How Does Augmented Observation Facilitate Multimodal Representational Thinking? Applying Deep Learning to Decode Complex Student Construct

Shannon H. Sung, Chenglu Li, Guanhua Chen, Xudong Huang, Charles Xie, Joyce Massicotte, Ji Shen

12.09.2020 | Ausgabe 2/2021

Relationships between Facial Expressions, Prior Knowledge, and Multiple Representations: a Case of Conceptual Change for Kinematics Instruction

Hongming Liaw, Yuh-Ru Yu, Chin-Cheng Chou, Mei-Hung Chiu

26.03.2021 | Ausgabe 2/2021

Using Machine Learning to Score Multi-Dimensional Assessments of Chemistry and Physics

Sarah Maestrales, Xiaoming Zhai, Israel Touitou, Quinton Baker, Barbara Schneider, Joseph Krajcik

15.09.2020 | Ausgabe 2/2021

Combining Machine Learning and Qualitative Methods to Elaborate Students’ Ideas About the Generality of their Model-Based Explanations

Joshua M. Rosenberg, Christina Krist

20.11.2020 | Correction | Ausgabe 2/2021

Correction to: Combining Machine Learning and Qualitative Methods to Elaborate Students’ Ideas About the Generality of their Model-Based Explanations

Joshua M. Rosenberg, Christina Krist

09.09.2020 | Ausgabe 2/2021

Automated Scoring of Chinese Grades 7–9 Students’ Competence in Interpreting and Arguing from Evidence

Cong Wang, Xiufeng Liu, Lei Wang, Ying Sun, Hongyan Zhang

18.11.2020 | Ausgabe 2/2021

Computational Modeling of the Effects of the Science Writing Heuristic on Student Critical Thinking in Science Using Machine Learning

Richard Lamb, Brian Hand, Amanda Kavner

12.01.2021 | Ausgabe 2/2021

On the Validity of Machine Learning-based Next Generation Science Assessments: A Validity Inferential Network

Xiaoming Zhai, Joseph Krajcik, James W. Pellegrino

17.02.2021 | Ausgabe 2/2021

Commentary—Applying Machine Learning in Science Assessment: Opportunity and Challenges

Joseph S. Krajcik

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