Topics of interest include the following (but are not limited to):
- Understanding learning during Web search
- Role of self-regulation, confidence, engagement, & affect on learning while searching
- Modeling & predicting learning processes and outcomes in Web search
- Information literacy & multiple documents comprehension
- Methods of data collection (e.g. query & navigation logs, eye-tracking) to understand learning
- Indicators of learning (while searching) & learning outcome measures
- Collaborative aspects of SAL
- Support of learning during Web search
- Interventions, tools, & user interfaces to foster SAL
- Information/multimedia retrieval for SAL
- Learning analytics & educational data mining in Web-based (informal & formal) learning
- Fairness and transparency of Web-based learning
- Source credibility evaluation during Web search
- Transparency of retrieval & ranking in SAL
- Implications of SAL for different populations: e.g., children, low-literacy searchers
- Bias in recommendation, user profiling etc. for SAL scenarios
We will welcome two types of contributions
- Long papers up to 8 pages, presenting high-quality technical contributions which fit the workshop’s scope
- Short papers up to 4 pages, presenting positions, work in progress and minor contributions
All submissions must be written in English and must be formatted according to the CEUR-WS format (two-columned style, no page numbers). Please submit your contributions electronically in PDF format via the IWILD2020 submission system at easychair. Accepted papers will be published as part of the conference proceeding companion volume.
IMPORTANT DATES
The preliminary schedule is as follows:
- Paper submission 2020-07-15
- Acceptance notification 2020-08-15
- Date of workshop 2020-10-19
All deadlines are midnight AoE time. For any inquiries, please contact via email.