Search as Learning (SAL) Workshop 2016

Author:

Gwizdka Jacek1,Hansen Preben2,Hauff Claudia3,He Jiyin4,Kando Noriko5

Affiliation:

1. University of Texas Austin, Austin, USA

2. Stockholm University, Stockholm, Sweden

3. Delft University of Technology, Delft, Netherlands

4. Centrum Wiskunde & Informatica, Amsterdam, Netherlands

5. National Institute of Informatics, Tokyo, Japan

Publisher

ACM

Cited by 25 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. Search Systems and Artificial Intelligence: Enhancing Searching as Learning Approaches to Counter Misinformation;Proceedings of the Association for Information Science and Technology;2023-10

2. Explanation for User Trust in Context-Aware Recommender Systems for Search-As-Learning;2023 IEEE International Conference on Advanced Learning Technologies (ICALT);2023-07

3. LongSAL: A Longitudinal Search as Learning Study with University Students;Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems;2023-04-19

4. A Synthetic Search Session Generator for Task-Aware Information Seeking and Retrieval;Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining;2023-02-27

5. Emerging Exploration Strategies of Knowledge Graphs;IEEE Access;2023

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