From ideal to reality: segmentation, annotation, and recommendation, the vital trajectory of intelligent micro learning-Reference-Cited by-同舟云学术

From ideal to reality: segmentation, annotation, and recommendation, the vital trajectory of intelligent micro learning

Published:2019-10-23 Issue:3 Volume:23 Page:1747-1767
ISSN:1386-145X
Container-title:World Wide Web
language:en
Short-container-title:World Wide Web

Author:

Lin Jiayin^ORCID,Sun Geng,Cui Tingru,Shen Jun,Xu Dongming,Beydoun Ghassan,Yu Ping,Pritchard David,Li Li,Chen Shiping

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Link

http://link.springer.com/content/pdf/10.1007/s11280-019-00730-9.pdf

Reference71 articles.

1. Achour, H., Zouari, M.: Multilingual learning objects indexing and retrieving based on ontologies, in Computer and Information Technology (WCCIT), 2013 World Congress on, pp. 1–6, (2013)

2. Adomavicius, G., Tuzhilin, A.: Context-aware recommender systems. In: Recommender systems handbook, pp. 217–253. Springer, Berlin (2011)

3. Al-Hmouz, A., Shen, J., Al-Hmouz, R., Yan, J.: Modeling and simulation of an adaptive neuro-fuzzy inference system (ANFIS) for mobile learning. IEEE Trans. Learn. Technol. 5, 226–237 (2012)

4. Al-Shamri, M.Y.H., Bharadwaj, K.K.: Fuzzy-genetic approach to recommender systems based on a novel hybrid user model. Expert Syst. Appl. 35, 1386–1399 (2008)

5. Anand, D., Bharadwaj, K.K.: Enhancing accuracy of recommender system through adaptive similarity measures based on hybrid features, in Asian Conference on Intelligent Information and Database Systems, pp. 1–10, (2010)

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Science mapping the knowledge base on microlearning: using Scopus database between 2002 and 2021;Journal of Research in Innovative Teaching & Learning;2024-03-28

2. A systematic review of the soft computing methods shaping the future of the metaverse;Applied Soft Computing;2024-01

3. Virtual Reality-Based Training in Additive Manufacturing: Developing a Service Concept that Adapts to Company-Specific Requirements;IOP Conference Series: Materials Science and Engineering;2023-12-01

4. MVR-RCM: An Approach to Recommend Microlearning Videos in Informal Online Learning Environment;The 15th International Conference on Education Technology and Computers;2023-09-26

5. Design and Development of Hybrid Instructional Materials;Fostering Pedagogy Through Micro and Adaptive Learning in Higher Education;2023-08-14