https://www.asee.org/public/conferences/78/papers/18584/view

Reference for Can Early-Assignment Grades Predict Final Grades in IT Courses?

1. Introduction
2. Literature Review
3. Method
4. Results.
5. Discussion

San Diego State University

1. Predicting Grades
2. Data from a Web-based Homework Tutor can predict Student’s Final Exam Score
3. Methods used by teachers to predict final A Level grades for their students
4. Predicting Student Exam’s Scores by Analyzing Social Network Data
5. Can Students Predict Their Scores in Exams?
6. Predicting Students’ Performance in Elements of Statistics 
7. Pass or Fail? Prediction of Students’ Exam Outcomes from Self-reported Measures and Study Activities
8. Unskilled and unaware in the classroom: College students’ desired grades  predict their biased grade predictions
9. Predicting Students’ Final Exam Scores from their Course Activities
10. Can Early-Assignment Grades Predict Final Grades in IT Courses?
11. Prediction of Student Final Exam Performance in an Introductory Programming Course: Development and Validation of the Use of a Support Vector Machine-Regression Model
12. Analysis of the Factors Influencing Learners’ Performance Prediction With Learning Analytics
13. How Early is Early Enough: Correlating Student Performance with Final Grades (ACM)
14. Predictors for success in a discrete math course (ACM)
15. Predicting non-traditional student learning outcomes using data analytics - a pilot research study (ACM)
16. Features Exploration for Grades Prediction using Machine Learning (ACM)
17. An Expert System for the Prediction of Student Performance in an Initial Computer Science Course (ACM)
18. Predicting student performance using data from an auto-grading system (ACM)
19. Using Machine Learning Algorithm to Predict Student Pass Rates In Online Education (ACM)
20. An analysis of an admissions system: can performance in the first year of the dental course be predicted? (Nature)
21. Keeping Learning on Track: Formative assessment and the regulation of the learning (Nature)
22. A Review on Predicting Student’s Performance using Data Mining Techniques (Elsevier)
23. Predicting Academic Performance: A Systematic Literature Review (ACM)
24. Feature extraction for classifying students based on their academic performance
25. Application of Machine Learning in Predicting Performance for Computer Engineering Students: A Case Study

Research Question 3: Predicting Final Exam Grade - Papers

1. Introduction
2. Related Work
3. Building the prediction model
4. Experiments and Results
5. From Predicting Scores to Predicting Grades
6. Discussion and Conclusions

Predicting Students’ Final Exam Scores from their
Course Activities

1. Introduction
2. Literature Review
3. Research Method
4. Data Analysis and Results
5. Discussion
6. Conclusion and Limitations of the Study
7. Educational Implications

Prediction of Student Final Exam Performance in an Introductory Programming Course:  Development and Validation of the Use of a
Support Vector Machine-Regression Model

1.  Introduction
2.  Related Work
3.  Student Performance 
4.  Marmoset 
5.  Modelling Techniques
6.  Features
7.  Experiments and Evaluation

Predicting student performance using data from an Auto-grading system 

1. Introduction
2. Related Work
3. Methodology
4. Results
5. Discussion
6. Conclusion

Analysis of the Factors Influencing Learners’
Performance Prediction With Learning Analytics

Can Early-Assignment Grades Predict Final Grades in IT Courses?

- Introduction
- What makes a good question?
- Classroom questioning
- The quality of feedback
- Sharing criteria with learners
- Student peer- and self-assessment
- The regulation of learning
- Summary

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