The Search as Learning Spaceship: Toward a Comprehensive Model of Psychological and Technological Facets of Search as Learning
| Autor: | Hoyer, Johannes von, Hoppe, Anett, Kammerer, Yvonne, Otto, Christian, Pardi, Georg, Rokicki, Markus, Yu, Ran, Dietze, Stefan, Ewerth, Ralph, Holtz, Peter |
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| Rok vydání: | 2022 |
| Předmět: |
Publizistische Medien
Journalismus Verlagswesen News media journalism publishing psychology human-computer interaction knowledge gain ranking algorithms search as learning search engine interface web search Informationswissenschaft Information Science Internet Informationsgewinnung Suchmaschine information retrieval Mensch Computer Ranking Algorithmus information capture search engine human being computer ranking algorithm |
| Zdroj: | Frontiers in Psychology, 13 |
| Druh dokumentu: | Zeitschriftenartikel<br />journal article |
| ISSN: | 1664-1078 |
| DOI: | 10.3389/fpsyg.2022.827748 |
| Popis: | 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. |
| Databáze: | SSOAR – Social Science Open Access Repository |
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