Paper—Search Engines in Learning Contexts: A Literature Review Search Engines in Learning Contexts: A Literature Review https://doi.org/10.3991/ijet.v17i02.26217 Jaurès S. H. Kameni 1() , Bernabé Batchakui 1 , Roger Nkambou 2 1 Department of Computer Engineering, National Advanced School of Engineering, Yaoundé, Cameroon 2 Department of Computer Science, UQAM, Montréal, Quebec jskameni@gmail.com Abstract—The web is one of the primary sources of information for finding learning oriented documents. In addition, the main suitable way to find infor- mation and documents on the Internet is by using search engines. Search en- gines are constantly improving in terms of selection algorithms and in terms of the Human Machine interface (HMI). Also, these search engines are the basis of a new field of research called Search-As-Learning. The Search-As-Learning explores information search environments to enhance learning during user search tasks. This work focuses on our view of the state of the art in the field of Search Engines in learning context and Search-As-Learning, stressing on the most recent research. We conclude by highlighting the current shortcomings on improvement of the learning aspect within search engines, and present next work which will be the association of a layer above the traditional search en- gines to promote the appropriation of content during search task for a learning context. Keywords—information retrieval, search engine, Search Engine Result Page (SERP), Search-AS-Learning, learning 1 Introduction Search engines are the most popular way to find information today. Even more, the use of a search engine to perform a web search is the most popular activity on the Internet [1]. In the past, documentary search was carried out mainly in libraries. Now- adays, searching for documents via the Internet is an essential practice for Internet users, particularly for teachers and learners. In this momentum, search engines have evolved into a refined search and sophisticated display of search results [2]. In terms of interface, it can be said that any search engine displays the return of queries using a page called Search Engine Result Page (SERP) [3]. Researches on studying the layout of search results pages are ongoing. Early results on this have shown that the layout of the results influences user selection [4]. In the literature, internet queries are mainly categorized into three classes: navigational queries, infor- mational queries and transactional queries [5]. From the year 2007, new results have 254 http://www.i-jet.org