Document Type

Dissertation

Publication Date

2018

Abstract

The new Framework for Information Literacy for Higher Education (ACRL, 2016) highlights the ability to synthesize ideas from multiple sources of information as one of the key knowledge practices as students navigate an increasingly complex information landscape. With the introduction of this new document, there is a strong need for evidence-based guidance for information literacy instruction in academic libraries. There is little generalizable empirical research based on cognitive science principles to guide information literacy instruction practice. The present study examined the effectiveness of elaborative interrogation instructional strategy on integration and transformation of ideas from multiple sources of information. 86 participants took part in the study via Amazon Mechanical Turk platform. The experiment involved reading five texts on the topic of climate change and responding to embedded elaborative interrogation prompts (treatment groups only), and writing a synthesis paragraph on the topic. Contrary to the research hypothesis, the results of descriptive analysis showed that participants in the control group achieved a slightly better performance in transformation measure, as compared to participants in treatment groups. However, two one-way ANCOVAs were employed to test the hypotheses which indicated that elaborative interrogation prompts did not significantly improve performance on transformation and integration measures. This study contributes to the growing body of literature addressing information literacy instruction based on the new Framework and provides a promising long-term cross-disciplinary research partnership in terms of linking evidence-based guidance for instruction based on cognitive science principles to information literacy knowledge practices in the new Framework.

Comments

© 2018, all rights reserved.
This open access ETD is published by Kent State University and OhioLINK, https://etd.ohiolink.edu/pg_10?4278491866225::NO:10:P10_ETD_SUBID:163500#abstract-files.

Share

COinS