Abstract:Purpose
Seeking online bilingual scientific information is a key aspect of bilingual scientific Web literacy – abilities to engage critically with science on the Web using two languages. This study aims to determine whether factors such as age, education major, gender and type of school attended at secondary level (monolingual, bilingual, trilingual) influence undergraduates’ ability to search online Spanish-English bilingual scientific information.
Design/methodology/approach
The participants in this study … Show more
“…In conclusion, the literature of searching in L2 across domains is quite limited. Zhang et al (2020) compared tasks of various domains in English; Alsalmi (2021) compared tasks in English and Arabic but the domain remained the same; and recently Archila et al (2023) compared English and Spanish tasks within the scientific domain. On the other hand, the combination of two dimensions (language and domain comparison) is quite rare in the literature.…”
Purpose
This study aims to discover how domain familiarity and language affect the cognitive load and the strategies applied for the evaluation of search engine results pages (SERP).
Design/methodology/approach
This study used an experimental research design. The pattern of the experiment was based upon repeated measures design. Each student was given four SERPs varying in two dimensions: language and content. The criteria of students to decide on the three best links within the SERP, the reasoning behind their selection, and their perceived cognitive load of the given task were the repeated measures collected from each participant.
Findings
The evaluation criteria changed according to the language and task type. The cognitive load was reported higher when the content was presented in English or when the content was academic. Regarding the search strategies, a majority of students trusted familiar sources or relied on keywords they found in the short description of the links. A qualitative analysis showed that students can be grouped into different types according to the reasons they stated for their choices. Source seeker, keyword seeker and specific information seeker were the most common types observed.
Originality/value
This study has an international scope with regard to data collection. Moreover, the tasks and findings contribute to the literature on information literacy.
“…In conclusion, the literature of searching in L2 across domains is quite limited. Zhang et al (2020) compared tasks of various domains in English; Alsalmi (2021) compared tasks in English and Arabic but the domain remained the same; and recently Archila et al (2023) compared English and Spanish tasks within the scientific domain. On the other hand, the combination of two dimensions (language and domain comparison) is quite rare in the literature.…”
Purpose
This study aims to discover how domain familiarity and language affect the cognitive load and the strategies applied for the evaluation of search engine results pages (SERP).
Design/methodology/approach
This study used an experimental research design. The pattern of the experiment was based upon repeated measures design. Each student was given four SERPs varying in two dimensions: language and content. The criteria of students to decide on the three best links within the SERP, the reasoning behind their selection, and their perceived cognitive load of the given task were the repeated measures collected from each participant.
Findings
The evaluation criteria changed according to the language and task type. The cognitive load was reported higher when the content was presented in English or when the content was academic. Regarding the search strategies, a majority of students trusted familiar sources or relied on keywords they found in the short description of the links. A qualitative analysis showed that students can be grouped into different types according to the reasons they stated for their choices. Source seeker, keyword seeker and specific information seeker were the most common types observed.
Originality/value
This study has an international scope with regard to data collection. Moreover, the tasks and findings contribute to the literature on information literacy.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.