The Future of Education

Edition 14

Accepted Abstracts

Design of a Sensemaking Assistant to Support Learning

Dagobert Soergel, University of Buffalo (United States)

Pengyi Zhang, Peking University (China)

Abstract

Thinking tools that assist by externalizing thought processes and conceptual structures so they can be manipulated potentially improve student learning. We propose the design of a sensemaking assistant that integrates many such tools. Our design emerged from an intensive study of sensemaking by students working on real tasks [1], providing a link from users to developers. Sensemaking is the process of forming meaningful representations and working with them to gain understanding, possibly communicated in a report, to support planning, decision making, problem solving, and informed action [2]. At the heart of our design is a set of tightly integrated tools for representing and manipulating a conceptual space: tools for producing and maintaining concept maps, causal maps/influence diagrams, argument maps, with support through self-organizing semantic maps, importing concepts and relationships from external Knowledge Organization Systems, and inferring connections between texts; further a tool for organizing information items (documents, text passages notes, images) linked to the concept map. The sensemaking assistant we envision guides users through the sensemaking process; for each function it suggests appropriate cognitive processes [3, 4] and provides tools that automate tasks. The comprehensive sensemaking model introduced in [2] specifies functions in the iterative process of sensemaking: Task analysis and planning; Gap identification (tools for both: brainstorming, finding documents on the task); information acquisition, data seeking and structure seeking (search tool: finding databases, query expansion, passage retrieval; summarization tool); information organization, building structure, instantiating structure, information synthesis / new ideas / emerging sense (conceptual space tools mentioned above); information presentation, creating reports (from concept map to outline, guide through the writing process [5], analyze draft writing for coherence and clarity [6]) The system tracks sources.  [7] and [8] give examples of related work. Students using a sensemaking assistant may well internalize good ways for intellectual processes and good conceptual organization in addition to learning a useful application. The paper will provide some evidence from the literature and propose further testing.

Keywords: Sensemaking assistant, thinking tools, computer support for learning.

References:
[1] Zhang, P. (2010). Sensemaking: conceptual changes, cognitive mechanisms, and structural representations. PhD Dissertation. University of Maryland.
[2]  Zhang, P., Soergel, D. (2014). Towards a comprehensive model of the cognitive process and mechanisms of individual sensemaking. JASIST, 65(9), 1733 1756.
[3] ꟷ (2016). Process patterns and conceptual changes in knowledge representations during information seeking and sensemaking. J. Information Science, 42(1), 59-78.
[4] ꟷ (2020). Cognitive Mechanisms in Sensemaking. JASIST, 71 (2): 158 171.
[5] The Easy Essay - . www.theeasyessay.com.
[6] Hemingway Editor. http://hemingwayapp.com
[7] Subramonyam, H. (2019). Designing Interactive Intelligent Systems for Human Learning, Creativity, and Sensemaking. UIST 2019  Adjunct Publication p. 158 161.
[8] Anderson Inman, L.; Arvindam, A.; Oronzio, M. (2015) The Science Behind Ideaphora. Lake Oswego, OR, 13 p.
https://cdn-educators.brainpop.com/wp-content/uploads/2015/12/The_Science_Behind_Ideaphora_White_Paper.pdf

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