تقرير
An Automated SQL Query Grading System Using An Attention-Based Convolutional Neural Network
| العنوان: | An Automated SQL Query Grading System Using An Attention-Based Convolutional Neural Network |
|---|---|
| المؤلفون: | Schwartz, Donald R., Rivas, Pablo |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Computers and Society, Computer Science - Artificial Intelligence, Computer Science - Databases, Computer Science - Machine Learning, I.2.6, H.2.3, K.3.2 |
| الوصف: | Grading SQL queries can be a time-consuming, tedious and challenging task, especially as the number of student submissions increases. Several systems have been introduced in an attempt to mitigate these challenges, but those systems have their own limitations. This paper describes our novel approach to automating the process of grading SQL queries. Unlike previous approaches, we employ a unique convolutional neural network architecture that employs a parameter-sharing approach for different machine learning tasks that enables the architecture to induce different knowledge representations of the data to increase its potential for understanding SQL statements. Comment: 12 pages, 8 figures, paper accepted at "The 18th International Conference on Frontiers in Education: Computer Science and Computer Engineering" |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2406.15936 |
| رقم الأكسشن: | edsarx.2406.15936 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |