Knowledge Organisers for learning: Examples, non-examples and concept maps in university mathematics
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Published:2023
Issue:2
Volume:3
Page:103-129
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ISSN:2767-1925
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Container-title:STEM Education
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language:
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Short-container-title:steme
Affiliation:
1. Department of Mathematics, University of Auckland, Auckland CBD, Auckland, New Zealand; 0407jia@gmail.com 2. Department of Mathematics, University of Auckland, Auckland CBD, Auckland, New Zealand; t.evans@auckland.ac.nz
Abstract
<abstract>
<p>Finding effective ways to engage students in sense-making while learning is one of the central challenges discussed in mathematics education literature. One of the big issues is the prevalence of summative assessment tasks prompting students to demonstrate procedural knowledge only, which is a common problem at the tertiary level. In this study, in a large university classroom setting (<italic>N</italic> = 355), an instructional innovation was designed, developed, implemented and evaluated involving novel tasks–Knowledge Organisers. The tasks comprised prompts for students to generate examples/non-examples and construct a concept map of the key mathematical concepts in the course. The initiative's design was based on the current understanding of human cognitive architecture. A concept map is a visualisation of a group of related abstract concepts with their relationships identified by connections using directed arrows, which can be viewed as an externalisation of a schema stored in a learner's long-term memory. As such, we argue for a distinction between a <italic>local conceptual understanding</italic> (e.g., example space) versus a <italic>global conceptual understanding</italic>, manifesting through a high-quality concept map linking a group of related concepts. By utilising a mixed-methods approach and triangulation of the findings from qualitative and quantitative analyses, we were able to discern critical aspects pertaining to the feasibility of implementation and evaluate learners' perceptions. Students' performance on concept mapping is positively correlated with their perceptions of the novel tasks and the time spent completing them. Qualitative analysis showed that students' perceptions are demonstrably insightful about the key mechanisms that supposedly make the tasks beneficial to their learning. Based on the results of the data analyses and their theoretical interpretations, we propose pedagogical strategies for the effective use of Knowledge Organisers.</p>
</abstract>
Publisher
American Institute of Mathematical Sciences (AIMS)
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