Kazumasa Goda

According to our database, Kazumasa Goda authored at least 16 papers between 2011 and 2017.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2017

Comment Data Mining to Estimate Student Performance Considering Consecutive Lessons.

Shaymaa E. Sorour, Kazumasa Goda, Tsunenori Mine

J. Educ. Technol. Soc., 2017

2015

A Predictive Model to Evaluate Student Performance.

Shaymaa E. Sorour, Tsunenori Mine, Kazumasa Goda, Sachio Hirokawa

J. Inf. Process., 2015

Evaluation of Effectiveness of Time-Series Comments by Using Machine Learning Techniques.

Shaymaa E. Sorour, Kazumasa Goda, Tsunenori Mine

J. Inf. Process., 2015

Correlation of Topic Model and Student Grades Using Comment Data Mining.

Shaymaa E. Sorour, Kazumasa Goda, Tsunenori Mine

Proceedings of the 46th ACM Technical Symposium on Computer Science Education, 2015

Estimation of Student Performance by Considering Consecutive Lessons.

Shaymaa E. Sorour, Kazumasa Goda, Tsunenori Mine

Proceedings of the IIAI 4th International Congress on Advanced Applied Informatics, 2015

Correlation of Grade Prediction Performance with Characteristics of Lesson Subject.

Shaymaa E. Sorour, Jingyi Luo, Kazumasa Goda, Tsunenori Mine

Proceedings of the 15th IEEE International Conference on Advanced Learning Technologies, 2015

Predicting Student Grade based on Free-style Comments using Word2Vec and ANN by Considering Prediction Results Obtained in Consecutive Lessons.

Jingyi Luo, Shaymaa E. Sorour, Tsunenori Mine, Kazumasa Goda

Proceedings of the 8th International Conference on Educational Data Mining, 2015

Student Performance Estimation Based on Topic Models Considering a Range of Lessons.

Shaymaa E. Sorour, Kazumasa Goda, Tsunenori Mine

Proceedings of the Artificial Intelligence in Education - 17th International Conference, 2015

2014

Comments Data Mining for Evaluating Student's Performance.

Shaymaa E. Sorour, Tsunenori Mine, Kazumasa Goda, Sachio Hirokawa

Proceedings of the IIAI 3rd International Conference on Advanced Applied Informatics, 2014

Prediction of Students' Grades Based on Free-Style Comments Data.

Shaymaa E. Sorour, Tsunenori Mine, Kazumasa Goda, Sachio Hirokawa

Proceedings of the Advances in Web-Based Learning - ICWL 2014, 2014

Predicting students' grades based on free style comments data by artificial neural network.

Shaymaa E. Sorour, Tsunenori Mine, Kazumasa Goda, Sachio Hirokawa

Proceedings of the IEEE Frontiers in Education Conference, 2014

Efficiency of LSA and K-means in Predicting Students' Academic Performance Based on Their Comments Data.

Shaymaa E. Sorour, Tsunenori Mine, Kazumasa Goda, Sachio Hirokawa

Proceedings of the CSEDU 2014, 2014

2013

Correlation of grade prediction performance and validity of self-evaluation comments.

Kazumasa Goda, Sachio Hirokawa, Tsunenori Mine

Proceedings of the 14th Annual ACM SIGITE Conference on Information Technology Education, 2013

Automated Evaluation of Student Comments on Their Learning Behavior.

Kazumasa Goda, Sachio Hirokawa, Tsunenori Mine

Proceedings of the Advances in Web-Based Learning - ICWL 2013, 2013

2011

Analysis of Students' Learning Activities through Quantifying Time-Series Comments.

Kazumasa Goda, Tsunenori Mine

Proceedings of the Knowlege-Based and Intelligent Information and Engineering Systems, 2011

PCN: Quantifying Learning Activity for Assessment based on Time-series Comments.

Kazumasa Goda, Tsunenori Mine

Proceedings of the CSEDU 2011, 2011