Task‐based information retrieval: Structuring undergraduate history essays for better course evaluation using essay‐type visualizations

Leide, John E.; Cole, Charles; Beheshti, Jamshid; Large, Andrew; Lin, Yang

doi:10.1002/asi.20598

Cited by 15 publications

(8 citation statements)

References 80 publications

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“…One possible explanation for this is that recreational goals were identified more by children while personal goals were highly related to older adults, and both of these goals were found less motivating than educational or job-related goals. Leide et al (2007) identified task structure as the essential nature of the task -in particular, different essay types. They further tested whether a task-focused visualization device can effectively assist students in their task performance even though the result is inconclusive.…”

Section: Dimensions Of Work Taskmentioning

confidence: 99%

Dimensions of tasks: influences on information‐seeking and retrieving process

Xie

2009

Journal of Documentation

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Purpose-Previous research has demonstrated that task is the driving force for information retrieval (IR). However, few studies investigate how people engaged in work and search tasks define their decisions and behaviors in the IR process. The purpose of this paper is to investigate how dimensions of tasks affect the information-seeking and retrieving process. Design/methodology/approach-In total, 40 participants are recruited for the two studies conducted in a corporate setting as well as an academic setting. Multiple methods are applied to collect data related to participants' tasks and the information-seeking and retrieving process: web surveys, questionnaires, diaries, and telephone interviews. Both qualitative and quantitative data are analyzed. Findings-This paper identifies nature (routine, typical, and unusual), stages (pre-focus, formation, and post-focus), and timeframe (extremely urgent, urgent, and non-urgent) as dimensions of work tasks as well as origination (self-generated and assigned), types (updating information, looking for specific information, looking for items with common characteristics, and looking for known items), and flexibility (very flexible, flexible, and inflexible) as dimensions of search tasks. Moreover, the relationships between dimensions of work and search tasks and the information-seeking process-in particular, the extent of planning, the application of different types of information-seeking strategies, and shifts in search-task-related goals-are explored. Originality/value-This paper fills in a gap in current research-the impact of dimensions of task on the information-seeking and-retrieving process.

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Section: Dimensions Of Work Taskmentioning

confidence: 99%

Dimensions of tasks: influences on information‐seeking and retrieving process

Xie

2009

Journal of Documentation

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“…The tasks and their definitions are shown in Table 1. To minimize the effect of using different tasks, task structure, complexity and prior knowledge requirements of each task were normalized (Leide el al., 2007). The difficulty of the tasks was adjusted to be equal using NASA's Task Load Index (TLX) (Hart et.…”

Section: Methodsmentioning

confidence: 99%

Supporting exploratory search tasks with interactive user modeling

Ruotsalo

Athukorala

Głowacka

et al. 2013

Proc of Assoc for Info

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This paper presents the design and study of interactive user modeling to support exploratory search tasks. Contrary to traditional interactions, such as query based search, query suggestions, or relevance feedback, interactive user modeling allows a user to perceive the state of the user model at all times and provide feedback that directly rewards or penalizes it. The technique allows the user to continuously tune the system's belief about the user's evolving information needs. We demonstrate that such functionality is useful in exploratory search where users need to get accustomed to a body of literature in a domain. We conducted two experiments where scientists carried out exploratory search tasks with our implementation of an interactive user modeling and retrieval system (SciNet) and two baselines: SciNet from which interactive user modeling was excluded and a real-world baseline (Google Scholar). The results show that interactive user modeling can help users to more effectively find relevant, novel and diverse information without compromises in task execution time. KeywordsSearch user interfaces, information-seeking behavior, exploratory search, user modeling.

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“…One example is Kuhlthau (1988) who in a major study identified the stages of information problem resolution and then subsequently proposed a model of users' steps within the problem resolution process: initiation, topic selection, pre-focus exploration, focus formulation, information collection, and search closure. This idea is also utilised by Leide et al (2007) to present a study of task based searching, the end goal being writing essays. In contrast, work by McGregor (1994) showed that students are "focused on a final product rather than a process".…”

Section: Methodological Approaches In the Classroommentioning

confidence: 99%

Teaching and Learning in Information Retrieval

Johnson¹

2011

The Information Retrieval Series

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This is the unspecified version of the paper.This version of the publication may differ from the final published version. From the analysis of the literature a taxonomy was built and it is used to structure the paper. Permanent repository linkInformation Retrieval (IR) is presented from different points of view: technical levels, educational goals, teaching and learning methods, assessment and curricula. The review is organized around two levels of abstraction which form a taxonomy that deals with the different aspects of pedagogy as applied to information retrieval. The first level looks at the technical level of delivering information retrieval concepts, and at the educational goals as articulated by the two main subject domains where IR is delivered: computer science (CS) and library and information science (LIS). The second level focuses on pedagogical issues, such as teaching and learning methods, delivery modes (classroom, online or e-learning), use of IR systems for teaching, assessment and feedback, and curricula design.The survey, and its bibliography, provides an overview of the pedagogical research carried out in the field of IR. It also provides a guide for educators on approaches that can be applied to improving the student learning experiences.

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Task‐based information retrieval: Structuring undergraduate history essays for better course evaluation using essay‐type visualizations

Cited by 15 publications

References 80 publications

Dimensions of tasks: influences on information‐seeking and retrieving process

Dimensions of tasks: influences on information‐seeking and retrieving process

Supporting exploratory search tasks with interactive user modeling

Teaching and Learning in Information Retrieval

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