Adaptive Search Support for Teachers in Lesson Planning

verfasst von

Ratan Sebastian

Abstract

Teachers report difficulties engaging in search in the context of lesson planning. Despite the availability of customised search solutions like Learning Object Repositories, most teachers report using general-purpose search engines like Google. Unlike students - to whom most research in educational search is directed - teachers are experts capable of using many types of resources for their tasks. In addition, since they teach multiple classes, they switch educational contexts frequently. These circumstances present unique challenges for user modelling. This thesis investigates how an adaptive browser-based search engine augmentation could support teachers in both exploratory and lookup search tasks. A preliminary user study was conducted to understand the actual search behaviour of teachers in their everyday environment and to investigate the inference of search tasks and context from search behaviour. Using this inferred information, personalized search aids could be delivered through the extension such as search engine result page (SERP) summarization for exploratory search and context-based search snippets. The relevance of existing search snippets was investigated and potential for improvement using teachers' search context was identified. With the rest of the PhD, I plan to expand the user study to get more concrete results about teacher search behaviour and implement and test this adaptive browser extension to see how it affects the search experience for teachers.

Organisationseinheit(en)

Forschungszentrum L3S

Typ

Aufsatz in Konferenzband

Seiten

20-24

Anzahl der Seiten

5

Publikationsdatum

28.06.2024

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Software

Ziele für nachhaltige Entwicklung

SDG 3 – Gute Gesundheit und Wohlergehen

Elektronische Version(en)

https://doi.org/10.1145/3631700.3664921 (Zugang: Geschlossen)