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We critically review literature on the association between searching and learning and contribute to the formulation of a research agenda for searching as learning. The paper begins by reviewing current literature that tends to characterize search systems as tools for learning. We then present a perspective on searching as learning that focuses on the learning that occurs during the search process, as well as search outputs and learning outcomes. The concept of 'comprehensive search' is proposed to describe iterative, reflective and integrative search sessions that facilitate critical and creative learning beyond receptive learning. We also discuss how search interaction data can provide a rich source of implicit and explicit features through which to assess search-related learning. In conclusion, we summarize opportunities and challenges for future research with respect to four agendas: developing a search system that supports sense-making and enhances learning; supporting effective user interaction for searching as learning; providing an inquirybased literacy tool within a search system; and assessing learning from online searching behaviour. KeywordsAssessment of learning in searching; expertise modelling; searching as learning; web searching behaviour

Digital libraries (DLs) are new and innovative information systems, under constant development and change, and therefore evaluation is of critical importance to ensure not only their correct evolution but also their acceptance by the user and application communities. The Evaluation activity of the DELOS Network of Excellence has performed a large-scale survey of current DL evaluation activities. This study has resulted in a description of the state of the art in the field, which is presented in this paper. The paper also proposes a new framework for the evaluation of DLs, as well as for recording, describing and analyzing the related research field. The framework includes a methodology for the classification of current evaluation procedures. The objective is to provide a set of flexible and adaptable guidelines for DL evaluation

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The student experience with different aspects of online instructional settings has been the focus of educational practitioners and researchers in many studies. However, concerning technology-enabled formative assessment, little is known about student satisfaction regarding different possible formative e-assessment strategies the students are involved in. Using a 5-point Likert scale questionnaire, a web-based survey was developed to examine students’ satisfaction with the formative e-assessment strategies within an enriched virtual blended course. The results show that, in general, the students were satisfied with the quality of their engagement and the quality of feedback across all the formative e-assessment activities offered. The results also show that the student satisfaction varied between and within the formative e-assessment strategies. However, the gap between the student satisfaction mean ratings across all formative e-assessment strategies was marginal and could not help researchers decide upon which formative e-assessment strategy that stood out as the most preferred one. Learner satisfaction with different formative e-assessment strategies was positively correlated to each other at various levels but no relationship was found between students’ scores on the final course exam and learner satisfaction with formative e-assessment strategies. In the end, the results indicated that a sustained and integrated use of the all three formative e-assessment strategies (online knowledge survey, online student-generated questions and peer-responses, and electronic reflective journals) should be used in the context of hybrid courses. The study also suggests further studies that would widen, diversify both the scope and research instruments to investigate learner satisfaction with formative e-assessment strategies.

This report presents a case study of the development of an interface for a novel and complex form of document retrieval: searching for texts written in foreign languages based on native language queries. Although the underlying technology for achieving such a search is relatively well understood, the appropriate interface design is not. A study involving users from the beginning of the design process is described, and it covers initial examination of user needs and tasks, preliminary design and testing of interface components, building, testing, and refining the interface, and, finally, conducting usability tests of the system. Lessons are learned at every stage of the process, leading to a much more informed view of how such an interface should be built.

Multimodal conversational spoken dialogues using physical and virtual agents provide a potential interface to motivate and support users in the domain of health and fitness. In this paper we present how such multimodal conversational Companions can be implemented to support their owners in various pervasive and mobile settings. We present concrete system architectures, virtual, physical and mobile multimodal interfaces, and interaction management techniques for such companions. In particular, we present how knowledge representation and separation of low-level interaction modelling from high-level reasoning at the domain level makes it possible to implement distributed, but still coherent, interaction with Companions. The distribution is enabled by using a dialogue plan to communicate information from domain level planner to dialogue management and from there to a separate mobile interface. The model enables each part of the system to handle the same information from its own perspective without containing overlapping * Corresponding author Email addresses: mturunen@cs.uta.fi (Markku Turunen), jh@cs.uta.fi (Jaakko Hakulinen), olovs@sics.se (Olov Ståhl), gamback@sics.se (Björn Gambäck), preben@sics.se (Preben Hansen), mcrg@tid.es (Mari C. Rodríguez Gancedo), e.rsai@tid.es (Raúl Santos de la Cámara), c.g.smith@tees.ac.uk 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 logic, and makes it possible to separate task-specific and conversational dialogue management from each other. In addition to technical descriptions, we present results from the first evaluations of the Companions interfaces.