Export Citations
Save this search
Please login to be able to save your searches and receive alerts for new content matching your search criteria.
- research-articleDecember 2024
Question Embedding on Weighted Heterogeneous Information Network for Knowledge Tracing
ACM Transactions on Knowledge Discovery from Data (TKDD), Volume 19, Issue 1Article No.: 17, Pages 1–28https://doi.org/10.1145/3703158Knowledge Tracing (KT) aims to predict students’ future performance on answering questions based on their historical exercise sequences. To alleviate the problem of data sparsity in KT, recent works have introduced auxiliary information to mine question ...
- research-articleOctober 2024
Revisiting Knowledge Tracing: A Simple and Powerful Model
MM '24: Proceedings of the 32nd ACM International Conference on MultimediaPages 263–272https://doi.org/10.1145/3664647.3681205Advances in multimedia technology and its widespread application in education have made multimedia learning increasingly important. Knowledge Tracing (KT) is the key technology for achieving adaptive multimedia learning, aiming to monitor the degree of ...
- research-articleJune 2024
Hyperbolic embedding of discrete evolution graphs for intelligent tutoring systems
Expert Systems with Applications: An International Journal (EXWA), Volume 241, Issue Chttps://doi.org/10.1016/j.eswa.2023.122451AbstractIntelligent tutoring systems (ITS) have received much attention recently as online learning has taken off and is replacing offline instruction in many cases. It analyses user behavior and customizes personalized learning strategies for users ...
- research-articleOctober 2023
Adversarial Bootstrapped Question Representation Learning for Knowledge Tracing
MM '23: Proceedings of the 31st ACM International Conference on MultimediaPages 8016–8025https://doi.org/10.1145/3581783.3612044Knowledge tracing (KT), which estimates and traces the degree of learners' mastery of concepts based on students' responses to learning resources, has become an increasingly relevant problem in intelligent education. The accuracy of predictions greatly ...
- research-articleMay 2023
Deep adversarial group recommendation with user feature space separation
User Modeling and User-Adapted Interaction (KLU-USER), Volume 34, Issue 3Pages 583–615https://doi.org/10.1007/s11257-023-09367-wAbstractMany online services allow users to participate in various group activities such as online meeting or group buying and thus need to provide user groups with services that they are interested. The group recommender systems emerge as required and ...
- research-articleNovember 2022
Ensemble Knowledge Tracing: Modeling interactions in learning process
Expert Systems with Applications: An International Journal (EXWA), Volume 207, Issue Chttps://doi.org/10.1016/j.eswa.2022.117680AbstractKnowledge Tracing (KT) aims to continuously estimate students’ evolving knowledge state during their learning process, which has attracted much research attention due to its potential for delivering personalized and optimal experiences ...
Highlights- Our model represents the interactions among students, concepts and questions.
- ...
- research-articleJune 2022
Ability boosted knowledge tracing
Information Sciences: an International Journal (ISCI), Volume 596, Issue CPages 567–587https://doi.org/10.1016/j.ins.2022.02.044AbstractKnowledge tracing (KT) has become an increasingly relevant problem in intelligent education services, which estimates and traces the degree of learner’s mastery of concepts based on students’ responses to learning resources. The ...
- research-articleJuly 2021
Hierarchical Fuzzy Graph Attention Network for Group Recommendation
2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)Pages 1–6https://doi.org/10.1109/FUZZ45933.2021.9494581Human's group activities have contributed to the development of group recommender systems. The group recommender system can provide personalised services for various online user groups through analysing groups' preferences. However, current ...
- articleDecember 2018
A multi-criteria decision-making method based on single-valued trapezoidal neutrosophic preference relations with complete weight information
Neural Computing and Applications (NCAA), Volume 30, Issue 11Pages 3383–3398https://doi.org/10.1007/s00521-017-2925-8Single-valued trapezoidal neutrosophic numbers (SVTNNs) have a strong capacity to depict uncertain, inconsistent, and incomplete information about decision-making problems. Preference relations represent a practical tool for presenting decision makers' ...
- articleJuly 2018
Multi-criteria group decision-making method based on interdependent inputs of single-valued trapezoidal neutrosophic information
Neural Computing and Applications (NCAA), Volume 30, Issue 1Pages 241–260https://doi.org/10.1007/s00521-016-2672-2Single-valued trapezoidal neutrosophic numbers (SVTNNs) are very useful tools for describing complex information, because they are able to maintain the completeness of the information and describe it accurately and comprehensively. This paper develops a ...
- research-articleNovember 2017
Evaluation of e-commerce websites
Knowledge-Based Systems (KNBS), Volume 135, Issue CPages 44–59https://doi.org/10.1016/j.knosys.2017.08.002Evaluation criteria are identified for B2C e-commerce website evaluation.Information acquisition are conducted and transformed into SVTNNs.An innovative aggregation operator of SVTNNs is designed.A novel integrated fuzzy-based approach is developed. E-...