Exploring Document Retrieval Features Associated with Improved Short- and Long-term Vocabulary Learning Outcomes

Author:

Syed Rohail1,Collins-Thompson Kevyn1

Affiliation:

1. University of Michigan, Ann Arbor, MI, USA

Funder

Institute of Education Sciences

Publisher

ACM Press

Reference25 articles.

1. Mustafa Abualsaud . 2017. Learning Factors and Determining Document-level Satisfaction In Search-as-Learning. Master's thesis. bibinfoschoolUniversity of Waterloo.

2. Peter Bailey, Liwei Chen, Scott Grosenick, Li Jiang, Yan Li, Paul Reinholdtsen, Charles Salada, Haidong Wang, and Sandy Wong . 2012. User task understanding: a web search engine perspective NII Shonan Meeting on Whole-Session Evaluation of Interactive Information Retrieval Systems, Kanagawa, Japan.

3. Elizabeth Ligon Bjork, Jeri L Little, and Benjamin C Storm . 2014. Multiple-choice testing as a desirable difficulty in the classroom. Journal of Applied Research in Memory and Cognition, Vol. 3, 3 (2014), 165--170.

4. Bertram C Brookes . 1980. The foundations of information science Part I. Philosophical aspects. Journal of Information Science Vol. 2, 3--4 (1980), 125--133.

5. Kevyn Collins-Thompson and Jamie Callan . 2004. Information Retrieval for Language Tutoring: An Overview of the REAP Project Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '04). ACM, New York, NY, USA, 544--545.

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