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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
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Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
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publications
Predicting Student Performance Using Teacher Observation Reports
Published in Educational Data Mining 2021, 2021
In this paper, we present a model that predicts students’ performance using teacher observation reports. We compare the performance of the model using TF-IDF vectors and BERT embeddings. This paper is the first to utilize teacher reports for performance prediction. We presented the paper in June 2021, at the Educational Data Mining Conference online.
Recommended citation: Fateen, M., & Mine, T. (2021). Predicting Student Performance Using Teacher Observation Reports. International Educational Data Mining Society. https://eric.ed.gov/?id=ED615587
An Improved Model to Predict Student Performance using Teacher Observation Reports
Published in International Conference on Computers in Education, 2021
In this paper, we present a model that improves on our previous model that predicts students’ performance using teacher observation reports. In this model, we take a more statistical approach where we summarize each students’ performance throughout the year. We presented the paper in November 2021, at the International Conference on Computers in Education online.
Recommended citation: Fateen, M., Ueno, K., & Mine, T. (2021) An Improved Model to Predict Student Performance using Teacher Observation Reports.
Extraction of Useful Observational Features from Teacher Reports for Student Performance Prediction
Published in International Conference on Artificial Intelligence in Education, 2022
In this study, we analyze the topics, and psychological features in teachers’ daily written reports and apply them to the student performance prediction model. Experimental results show the capability of this approach in contributing to the accuracy of performance prediction models. We presented the paper in July 2022, at the International Conference on Artificial Intelligence in Education online.
Recommended citation: Fateen, M., & Mine, T. (2022) Extraction of Useful Observational Features from Teacher Reports for Student Performance Prediction.
Using Similarity Learning with SBERT to Optimize Teacher Report Embeddings for Academic Performance Prediction
Published in AIED 2023, 2023
We propose a model that uses similarity learning as an embedding-enhancing technique. Results outperform earlier research with an average accuracy of 73% for detecting strong performance.
Recommended citation: Fateen, M., & Mine, T. (2023). Using Similarity Learning with SBERT to Optimize Teacher Report Embeddings for Academic Performance Prediction. In International Conference on Artificial Intelligence in Education (pp. 720-726). Cham: Springer Nature Switzerland. https://link.springer.com/chapter/10.1007/978-3-031-36336-8_111
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.