Text mining in education
The explosive growth of online education environments is generating a massive volume of
data, specially in text format from forums, chats, social networks, assessments, essays …
data, specially in text format from forums, chats, social networks, assessments, essays …
[HTML][HTML] Short-text semantic similarity (stss): Techniques, challenges and future perspectives
In natural language processing, short-text semantic similarity (STSS) is a very prominent
field. It has a significant impact on a broad range of applications, such as question …
field. It has a significant impact on a broad range of applications, such as question …
Survey on automated short answer grading with deep learning: from word embeddings to transformers
Automated short answer grading (ASAG) has gained attention in education as a means to
scale educational tasks to the growing number of students. Recent progress in Natural …
scale educational tasks to the growing number of students. Recent progress in Natural …
Improving short answer grading using transformer-based pre-training
Dialogue-based tutoring platforms have shown great promise in helping individual students
improve mastery. Short answer grading is a crucial component of such platforms. However …
improve mastery. Short answer grading is a crucial component of such platforms. However …
Investigating transformers for automatic short answer grading
L Camus, A Filighera - Artificial Intelligence in Education: 21st International …, 2020 - Springer
Recent advancements in the field of deep learning for natural language processing made it
possible to use novel deep learning architectures, such as the Transformer, for increasingly …
possible to use novel deep learning architectures, such as the Transformer, for increasingly …
Coding energy knowledge in constructed responses with explainable NLP models
Background Formative assessments are needed to enable monitoring how student
knowledge develops throughout a unit. Constructed response items which require learners …
knowledge develops throughout a unit. Constructed response items which require learners …
Multiple data augmentation strategies for improving performance on automatic short answer scoring
Automatic short answer scoring (ASAS) is a research subject of intelligent education, which
is a hot field of natural language understanding. Many experiments have confirmed that the …
is a hot field of natural language understanding. Many experiments have confirmed that the …
Automatic short-answer grading via BERT-based deep neural networks
X Zhu, H Wu, L Zhang - IEEE Transactions on Learning …, 2022 - ieeexplore.ieee.org
Automatic short-answer grading (ASAG) is a key component of intelligent tutoring systems.
Deep learning is an advanced method to deal with recognizing textual entailment tasks in an …
Deep learning is an advanced method to deal with recognizing textual entailment tasks in an …
Automated short answer grading using deep learning: A survey
S Bonthu, S Rama Sree… - … : 5th IFIP TC 5, TC 12, WG …, 2021 - Springer
Abstract Automated Short Answer Grading (ASAG) is the task of assessing short answers
authored by students by leveraging computational methods. The task of ASAG is …
authored by students by leveraging computational methods. The task of ASAG is …
[HTML][HTML] Toward intelligent open-ended questions evaluation based on predictive optimization
An evaluation is administered to measure students' learning outcomes, which nowadays
become challenging for instructors as student growth increases exponentially. Several …
become challenging for instructors as student growth increases exponentially. Several …