Note the Highlight

Roy, Nirmal Kumar; Torre, Manuel Valle; Gadiraju, Ujwal; Maxwell, David; Hauff, Claudia

doi:10.1145/3406522.3446025

Cited by 34 publications

(13 citation statements)

References 46 publications

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“…All while keeping the user within the familiar search environment. First SAL-oriented explorations propose introducing instructional scaffolding ( Câmara et al, 2021 ), active reading tools ( Roy et al, 2021 ), and assessments ( Urgo and Arguello, 2022 ).…”

Section: Componentsmentioning

confidence: 99%

The Search as Learning Spaceship: Toward a Comprehensive Model of Psychological and Technological Facets of Search as Learning

et al. 2022

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Using a Web search engine is one of today’s most frequent activities. Exploratory search activities which are carried out in order to gain knowledge are conceptualized and denoted as Search as Learning (SAL). In this paper, we introduce a novel framework model which incorporates the perspective of both psychology and computer science to describe the search as learning process by reviewing recent literature. The main entities of the model are the learner who is surrounded by a specific learning context, the interface that mediates between the learner and the information environment, the information retrieval (IR) backend which manages the processes between the interface and the set of Web resources, that is, the collective Web knowledge represented in resources of different modalities. At first, we provide an overview of the current state of the art with regard to the five main entities of our model, before we outline areas of future research to improve our understanding of search as learning processes.

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Section: Componentsmentioning

confidence: 99%

The Search as Learning Spaceship: Toward a Comprehensive Model of Psychological and Technological Facets of Search as Learning

et al. 2022

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“…mind mapping tool or concept map tool) should also be very useful. A recent study by Roy et al [69] investigated the influence of notepad-like interface and interface with highlighting tools on users’ learning performance during a complex, learning-oriented search task. It is found that participants using the interface with highlighting functions enabled covered 34% more subtopics, and participants using the search interface with note taking functions enabled covered 34% more facts in their final essays when compared with a standard web search interface.…”

Section: Discussionmentioning

confidence: 99%

Characterising users’ task completion process in learning-related tasks:A search pace model

Liu

Song

Hansen

2021

Journal of Information Science

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This study investigated users’ searching, reading and writing interactions and their activity transitions during task completion process when users were collecting information for learning-related search tasks. Task completion process was defined as the process users started to search till the time when they have collected enough information to accomplish the search tasks. The data analysis was conducted from a new process perspective through synthesising macro- and micro-process levels. Four evenly distributed stages were divided according to the total task completion time in each search session. Our results demonstrated that users generally experienced three sub-processes during task completion process: exploration, accumulation and composition/reporting. Exploration sub-process is basically the first quarter of the total task completion time, during which users often issue more queries and visit more search engine result pages (SERPs) to collect information, and the dominant activity transition is switching between searching and reading; accumulation sub-process is mainly the second and third quarters of the total task completion time, during which they visit more unique content pages, have more revisits per content page, and they switch between reading and writing activities frequently; the last stage is composition/reporting sub-process, which is dominated by writing, and users often switch between writing and reading, and between writing and searching. Based on these findings, we propose a search pace model to describe how users proceed from the beginning to the end of task completion process in these three sub-processes. The methodology applied has been proved to be effective to examine users’ interaction behaviours from the process perspective on both the micro- and macro-levels. The findings of this article help us understand how users proceed their dynamic searching, reading and writing behaviours for learning-related tasks, and also have implications for the design of search systems that support learning-related tasks.

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“…For example, Huurdeman, Wilson, and Kamps (2016) pointed out that, without cluttering simple searches, features less commonly found in web search interfaces, when presented at the right moment, could provide value for users. Roy et al (2021) proposed that highlighting and note-taking tools built into the search interface in a SAL environment could help learners cover more facts and subtopics. Ward & Capra (2021) proposed OrgBox as a knowledge representation tool to support complex search tasks by creating SearchIdea, which enabled searchers to actively interact with search results by comparison, prioritization, and rearrangement and was currently introduced by Chavula, Choi, and Rieh (2023), could also be a valuable tool to support learning during search.…”

Section: Research In Search As Learningmentioning

confidence: 99%

Finding the Aha! Moment of Search: A Preliminary Examination of Insight Learning During Search

Wang,

Liu

2023

Proceedings of the Association for Information Science and Tech

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Research in information behavior has examined search difficulties and how people learn during searches but has not fully examined how searchers solve the difficulties on their own and gain new knowledge during this process. This study introduced the concept of insight learning during search to provide a new perspective for the studies in Search as Learning (SAL) and to optimize searchers' experiences in a more efficient, innovative, and joyful way to combine search and learning. As a preliminary study, we conducted self‐reported interviews with 30 participants to collect cases of insight learning during the search process. Based on thematic analysis of the data, we summarized the benefits of insight learning during search, described the process of how aha! occurred after impasse, and identified the antecedent, key, and consequence of insight during the search process. We aimed to help generate more insights by providing three dimensions of key factors to think about. A preliminary understanding of the insights formed in this study could contribute to further discussion about learning during the search and could help design new search tools that support effective learning.

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Note the Highlight

Cited by 34 publications

References 46 publications

The Search as Learning Spaceship: Toward a Comprehensive Model of Psychological and Technological Facets of Search as Learning

The Search as Learning Spaceship: Toward a Comprehensive Model of Psychological and Technological Facets of Search as Learning

Characterising users’ task completion process in learning-related tasks:A search pace model

Finding the Aha! Moment of Search: A Preliminary Examination of Insight Learning During Search

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