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Trends and issues of social annotation in education: A systematic review from 2000 to 2020.

Authors :
Sun, Chunmei
Hwang, Gwo‐Jen
Yin, Zhaoyi
Wang, Zhonghou
Wang, Zhuo
Source :
Journal of Computer Assisted Learning. Apr2023, Vol. 39 Issue 2, p329-350. 22p.
Publication Year :
2023

Abstract

Background: Social annotation (SA) allows users to collaboratively highlight important texts, make comments and discuss with each other on the same online document. This would not only accelerate and deepen learners' cognitive understanding of information, but also help build a sense of rapport, which is critical especially because of the worldwide shift from face‐to‐face class to remote education as a response to the COVID‐19 pandemic. Objective: To provide a systematic review of empirical SA studies, so that current development as well as issues in SA practices and research are identified. Methods: A total of 32 studies were identified and bibliometrical, instructional, and methodological analysis were conducted. Results and Conclusions: The United States has published the most SA research and technology‐related journals are most receptive of SA research; one‐shot quantitative designs with a sample size between 30 and 100 have been adopted most often; there is a lack of theoretical support for SA studies; higher education settings have been more frequently researched than other educational levels; SA technological features and activities have focused more on student uses and outcomes than on those of instructors; self‐designed technologies were more preferred than commercial ones; both cognitive and affective outcomes were emphasized and nearly all studies reported positive findings. Implications: Future SA studies may conduct blended designs with larger sample sizes that is grounded upon solid theoretical frameworks; more customized and affordable SA technologies that support both students and teachers should be developed. Learning analytics and emotional design may be capitalized more to meet the demand of remote education during the pandemic. Lay Description: What is Already Known About this Topic: The behaviour of annotating often helps learners obtain deeper understanding and retain longer memorization of learning content.Social annotation, which capitalizes the advantage of digital tools and collaboration, allows learners to annotate on the same document, and view each other's annotations to ignite discussion and maximize their individual learning.Social annotation has been widely used in educational settings amongst all ages of learners. What this Paper Adds: Provides a systematic review of empirical social annotation studies between 2000 and 2020, highlighting the analysis of bibliometrics, research designs, and learning outcomes and effects.Proposes a conceptual framework (the WIRE model) to guide the design and assessment of social annotation activities.Identifies challenges and gaps in existing research designs as well as instructional practices. Implications for Practice: Instructors can use the results to locate desirable social annotation technologies and design effective activities.Researchers may utilize the trend and research gaps to design future social annotation studies.Programmers can use WIRE to make an initial assessment of social annotation tool designs, and develop more customized products for formal education. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02664909
Volume :
39
Issue :
2
Database :
Academic Search Index
Journal :
Journal of Computer Assisted Learning
Publication Type :
Academic Journal
Accession number :
162203186
Full Text :
https://doi.org/10.1111/jcal.12764