1 |
刘三女牙. 人工智能+教育的融合发展之路. 国家教育行政学院学报, 2022, (10): 7- 10.
URL
|
|
LIU S Y . The road of integrated development of artificial intelligence and education. Journal of National Academy of Education Administration, 2022, (10): 7- 10.
URL
|
2 |
陈恩红, 刘淇, 王士进, 等. 面向智能教育的自适应学习关键技术与应用. 智能系统学报, 2021, 16 (5): 886- 898.
URL
|
|
CHEN E H , LIU Q , WANG S J , et al. Key techniques and application of intelligent education oriented adaptive learning. CAAI Transactions on Intelligent Systems, 2021, 16 (5): 886- 898.
URL
|
3 |
ABDELRAHMAN G , WANG Q , NUNES B . Knowledge tracing: a survey. ACM Computing Surveys, 55 (11): 224.
|
4 |
FAN X . Item response theory and classical test theory: an empirical comparison of their item/person statistics. Educational Psychological Measurement, 1998, 58 (3): 357- 381.
doi: 10.1177/0013164498058003001
|
5 |
DE LA TORRE J . DINA model and parameter estimation: a didactic. Journal of Educational Behavioral Statistics, 2009, 34 (1): 115- 130.
doi: 10.3102/1076998607309474
|
6 |
王炼红, 罗志辉, 刘畅. 面向慕课学习者评估的认知反应模型. 电子学报, 2023, 51 (1): 18- 25.
URL
|
|
WANG L H , LUO Z H , LIU C . Cognitive and response model for evaluation of MOOC learners. Acta Electronica Sinica, 2023, 51 (1): 18- 25.
URL
|
7 |
CORBETT A T , ANDERSON J R . Knowledge tracing: modeling the acquisition of procedural knowledge. User Modeling and User-Adapted Interaction, 1994, 4 (4): 253- 278.
|
8 |
AGARWAL D B R, MURALEEDHARAN A. Dynamic knowledge tracing through data driven recency weights[C]//Proceedings of the 13th International Conference on Educational Data Mining, Morocco: Open Access. Berlin, Germany: Springer, 2020: 725-729.
|
9 |
PIECH C, BASSEN J, HUANG J, et al. Deep knowledge tracing[C]//Proceedings of the 28th International Conference on Neural Information Processing Systems. New York, USA: ACM Press, 2015: 505-513.
|
10 |
SU Y , CHENG Z , LUO P , et al. Time-and-concept enhanced deep multidimensional item response theory for interpretable knowledge tracing. Knowledge-Based Systems, 2021, 218, 106819.
doi: 10.1016/j.knosys.2021.106819
|
11 |
GHOSH A, HEFFERNAN N, LAN A S. Context-aware attentive knowledge tracing[C]//Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. New York, USA: ACM Press, 2020: 2330-2339.
|
12 |
NAGATANI K, ZHANG Q, SATO M, et al. Augmenting knowledge tracing by considering forgetting behavior[C]//Proceedings of the World Wide Web Conference. New York, USA: ACM Press, 2019: 3101-3107.
|
13 |
|
14 |
GUO X P, HUANG Z J, GAO J, et al. Enhancing knowledge tracing via adversarial training[C]//Proceedings of the 29th ACM International Conference on Multimedia. New York, USA: ACM Press, 2021: 367-375.
|
15 |
LIU Q , HUANG Z Y , YIN Y , et al. EKT: exercise-aware knowledge tracing for student performance prediction. IEEE Transactions on Knowledge and Data Engineering, 2021, 33 (1): 100- 115.
doi: 10.1109/TKDE.2019.2924374
|
16 |
孙建文, 周建鹏, 刘三女牙, 等. 基于多层注意力网络的可解释认知追踪方法. 计算机研究与发展, 2021, 58 (12): 2630- 2644.
URL
|
|
SUN J W , ZHOU J P , LIU S Y , et al. Hierarchical attention network based interpretable knowledge tracing. Journal of Computer Research and Development, 2021, 58 (12): 2630- 2644.
URL
|
17 |
LIU S , YU J W , LI Q , et al. Ability boosted knowledge tracing. Information Sciences, 2022, 596, 567- 587.
doi: 10.1016/j.ins.2022.02.044
|
18 |
刘凤娟, 赵蔚, 姜强, 等. 基于知识图谱的个性化学习模型与支持机制研究. 中国电化教育, 2022, (5): 75-81, 90.
URL
|
|
LIU F J , ZHAO W , JIANG Q , et al. Research on personalized learning model and support mechanism based on knowledge graph. China Educational Technology, 2022, (5): 75-81, 90.
URL
|
19 |
SHI D , WANG T , XING H , et al. A learning path recommendation model based on a multidimensional knowledge graph framework for E-learning. Knowledge-Based Systems, 2020, 195, 105618.
|
20 |
高嘉骐, 刘千慧, 黄文彬. 基于知识图谱的学习路径自动生成研究. 现代教育技术, 2021, 31 (7): 88- 96.
URL
|
|
GAO J Q , LIU Q H , HUANG W B . Research on automatic generation of learning paths based on knowledge graph. Modern Educational Technology, 2021, 31 (7): 88- 96.
URL
|
21 |
ZHANG S , HUI N , ZHAI P , et al. A fine-grained and multi-context-aware learning path recommendation model over knowledge graphs for online learning communities. Information Processing Management, 2023, 60 (5): 103464.
|
22 |
ZHU H P , LIU Y , TIAN F , et al. A cross-curriculum video recommendation algorithm based on a video-associated knowledge map. IEEE Access, 2018, 6, 57562- 57571.
|
23 |
ZHANG J N, SHI X J, KING I, et al. Dynamic key-value memory networks for knowledge tracing[C]//Proceedings of the 26th International Conference on World Wide Web. New York, USA: ACM Press, 2017: 765-774.
|
24 |
WANG L H , LI X Y , LUO Z H , et al. Multivariate cognitive response framework for student performance prediction on MOOC. IEEE Transactions on Knowledge and Data Engineering, 2024, 36 (3): 1221- 1233.
|
25 |
FENG M Y , HEFFERNAN N , KOEDINGER K . Addressing the assessment challenge with an online system that tutors as it assesses. User Modeling and User-Adapted Interaction, 2009, 19 (3): 243- 266.
|
26 |
CHANG H S, HSU H J, CHEN K T. Modeling exercise relationships in E-learning: a unified approach[C]//Proceedings of the 8th International Conference on Educational Data Mining, Washington D.C., USA: IEEE Press, 2015: 532-535.
|
27 |
SHEN S H, LIU Q, CHEN E H, et al. Convolutional knowledge tracing: modeling individualization in student learning process[C]//Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. New York, USA: ACM Press, 2020: 1857-1860.
|