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

Publikation: Beitrag in FachzeitschriftÜbersichtsarbeitForschungPeer-Review

Autoren

  • Johannes von Hoyer
  • Anett Hoppe
  • Yvonne Kammerer
  • Christian Otto
  • Georg Pardi
  • Markus Rokicki
  • Ran Yu
  • Stefan Dietze
  • Ralph Ewerth
  • Peter Holtz

Externe Organisationen

  • Leibniz-Institut für Wissensmedien (IWM)
  • Hochschule der Medien (HdM) Stuttgart
  • Universitätsklinikum Düsseldorf
  • GESIS - Leibniz-Institut für Sozialwissenschaften
  • Rheinische Friedrich-Wilhelms-Universität Bonn
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Aufsatznummer827748
FachzeitschriftFrontiers in psychology
Jahrgang13
PublikationsstatusVeröffentlicht - 15 März 2022

Abstract

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.

ASJC Scopus Sachgebiete

Zitieren

The Search as Learning Spaceship: Toward a Comprehensive Model of Psychological and Technological Facets of Search as Learning. / von Hoyer, Johannes; Hoppe, Anett; Kammerer, Yvonne et al.
in: Frontiers in psychology, Jahrgang 13, 827748, 15.03.2022.

Publikation: Beitrag in FachzeitschriftÜbersichtsarbeitForschungPeer-Review

von Hoyer, J., Hoppe, A., Kammerer, Y., Otto, C., Pardi, G., Rokicki, M., Yu, R., Dietze, S., Ewerth, R., & Holtz, P. (2022). The Search as Learning Spaceship: Toward a Comprehensive Model of Psychological and Technological Facets of Search as Learning. Frontiers in psychology, 13, Artikel 827748. https://doi.org/10.3389/fpsyg.2022.827748, https://doi.org/10.15488/13015
von Hoyer J, Hoppe A, Kammerer Y, Otto C, Pardi G, Rokicki M et al. The Search as Learning Spaceship: Toward a Comprehensive Model of Psychological and Technological Facets of Search as Learning. Frontiers in psychology. 2022 Mär 15;13:827748. doi: 10.3389/fpsyg.2022.827748, https://doi.org/10.15488/13015
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abstract = "Using a Web search engine is one of today{\textquoteright}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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T2 - Toward a Comprehensive Model of Psychological and Technological Facets of Search as Learning

AU - von Hoyer, Johannes

AU - Hoppe, Anett

AU - Kammerer, Yvonne

AU - Otto, Christian

AU - Pardi, Georg

AU - Rokicki, Markus

AU - Yu, Ran

AU - Dietze, Stefan

AU - Ewerth, Ralph

AU - Holtz, Peter

N1 - Funding Information: This work is financially supported by the Leibniz Association, Germany [Leibniz Competition 2018, funding line “Collaborative Excellence,” project SALIENT (K68/2017)].

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