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1. Let's talk evidence – The case for combining inquiry-based and direct instruction

2. Using Epistemic Network Analysis to Explore Discourse Patterns across Design Iterations of a Teacher Dashboard

3. Real-Time AI-Driven Assessment & Scaffolding That Improves Students' Mathematical Modeling during Science Inquiry

4. Assessing Students' Competencies with Mathematical Models in Virtual Science Inquiry Investigations

5. Assessing AI capabilities with education tests

6. Using Innovative Methods to Explore the Potential of an Alerting Dashboard for Science Inquiry

8. Intelligent Tutoring Systems: A History and an Example of an ITS for Science

9. Inq-ITS: Creating Rigorous Assessment and Real-Time Support of Science Learning

10. Real-Time AI-Driven Assessment and Scaffolding that Improves Students’ Mathematical Modeling during Science Investigations

11. Can an Alerting Teacher Dashboard Improve How Teachers Help Their Students Learn Science Inquiry Practices?

12. Evaluating the Transfer of Scaffolded Inquiry: What Sticks and Does It Last?

13. Scaffolding during Science Inquiry

14. Using Log Data to Validate Performance Assessments of Mathematical Modeling Practices

15. The Relationship between Scientific Explanations and the Proficiencies of Content, Inquiry, and Writing

16. Students' Academic Language Use When Constructing Scientific Explanations in an Intelligent Tutoring System

17. Real-Time Scaffolding of Students' Online Data Interpretation during Inquiry with Inq-ITS Using Educational Data Mining

20. Automated Assessment for Scientific Explanations in On-Line Science Inquiry

21. Dusting Off the Messy Middle: Assessing Students' Inquiry Skills through Doing and Writing

22. Digital Assessment Environments for Scientific Inquiry Practices

24. Designing and Testing Assessments and Scaffolds for Mathematics Practices in Science Inquiry

25. Examining the Use of a Teacher Alerting Dashboard During Remote Learning

26. Using Educational Data Mining to Assess Students' Skills at Designing and Conducting Experiments within a Complex Systems Microworld

29. Towards Scalable Assessment of Performance-Based Skills: Generalizing a Detector of Systematic Science Inquiry to a Simulation with a Complex Structure

30. Identifying Transfer of Inquiry Skills across Physical Science Simulations Using Educational Data Mining

31. The Impacts of Automatic Scaffolding on Students' Acquisition of Data Collection Inquiry Skills

32. Testing the Robustness of Inquiry Practices Once Scaffolding Is Removed

33. What Different Kinds of Stratification Can Reveal about the Generalizability of Data-Mined Skill Assessment Models

34. Leveraging Machine-Learned Detectors of Systematic Inquiry Behavior to Estimate and Predict Transfer of Inquiry Skill

35. Discovery with Models: A Case Study on Carelessness in Computer-Based Science Inquiry

36. Assessing the Learning and Transfer of Data Collection Inquiry Skills Using Educational Data Mining on Students' Log Files

37. Leveraging Educational Data Mining for Real-Time Performance Assessment of Scientific Inquiry Skills within Microworlds

38. Improving Construct Validity Yields Better Models of Systematic Inquiry, Even with Less Information

39. Using Model-Tracing to Conduct Performance Assessment of Students' Inquiry Skills within a Microworld

40. Using Machine-Learned Detectors to Assess and Predict Students' Inquiry Performance

41. The Impact of Multiple Real-Time Scaffolding Experiences on Science Inquiry Practices

44. The Relationship between Students' Epistemologies and Model-Based Reasoning.

47. Let's talk evidence – The case for combining inquiry-based and direct instruction

49. Unpacking Why Student Writing Does Not Match Their Science Inquiry Experimentation in Inq-ITS

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