[Asis-l] CFP: Special Issue on Search As Learning - Information Retrieval Journal

[Jacek Gwizdka]

=======================
Information Retrieval Journal
http://www.springer.com/10791
=======================

Call for Papers: Special Issue on Search As Learning
=========================================

Search systems today are mostly viewed as tools to satisfy immediate
information needs instead of complex information environments in which
humans learn while interacting with information content. Research on the
design, development and evaluation of search systems that foster learning
and enhance the learning experience is scarce. Equally scarce is our
current understanding of search as a human learning process. Opportunities
exist today to not only observe and interpret users’ behavior through the
lens of search logs but also to enrich this information with detailed
multimodal data streams gathered by tracking devices and sensors.

In this special issue, we aim to provide a forum for researchers who
explore the role of search in the learning process to examine challenging
research questions, showcase the state-of-the-art and share breakthroughs.


Topics of interest
Topics of interest for this issue include but are not limited to:
● Log/lab-based studies on when and how learning occurs in the search
process;
● The relationship between the learning process and searchers’ work task
contexts;
● Search system features that foster learning (both searching to learn and
learning to search);
● Search interface designs in support of learning;
● The implications of search for learning for different populations
(children, low- literacy searchers, non-experts, etc.);
● The roles of affect and engagement on learning whilst searching;
● Methods and measures to assess searchers’ learning;
● Measuring learning outcomes to assess IR system performance;
● Learning analytics for search contexts;
● Collaborative aspects of search as learning;
● Interaction monitoring, modeling and optimization for learning outcomes.

Special Issue Editors:
Carsten Eickhoff, ETH Zurich
Jacek Gwizdka, University of Texas Austin
Claudia Hauff, Delft University of Technology
Jiyin He, Centrum Wiskunde & Informatica (CWI)

Important Dates
Initial submission due: October 15th, 2016
Initial reviewer feedback: November 21st, 2016
Revised submission due: December 21st, 2016
Final decision: February 15th, 2017


Paper Submission
Papers submitted to this special issue for possible publication must be
original and must not be under consideration for publication in any other
journal or conference. Previously published or accepted conference papers
must contain at least 30% new material to be considered for the special
issue.

All papers are to be submitted by referring to http://www.springer.com/10791
(submit online). At the beginning of the submission processing Editorial
Manager, under “Article Type”, please select the appropriate special issue.

All manuscripts must be prepared according to the journal publication
guidelines which can also be found on the website provided above. Papers
will be evaluated following the journal's standard review process.

For inquiries on the above please contact Claudia Hauff, c.hauff at tudelft.nl.



Jacek Gwizdka, PhD   http://gwizdka.com/research
'Pluralitas non est ponenda sine necessitate' - William
of Ockham (1285-1349)
Research Talk <http://bit.ly/Jacek_RU_talk_2015> on NeuroIR
Assistant Professor at School of Information, University of Texas at Austin
1616 Guadalupe St,  Austin, TX 78701, USA |  Office 5.442 (5th floor)
Information eXperience (IX) lab Co-Director   |  ACM Senior Member
Distinguished Fellow of the Kosciuszko Foundation Collegium of Eminent
Scientists

<http://jsg.tel/>