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Technology and Map-Learning: Users, Methods, and Symbols
This article investigates the cognitive processes used by learners (adults and young adolescents) for tasks that require the integration of geographical information across spaces, hierarchies, and geographic scales. An experiment simulated basic GIS functions and contained four experimental conditio...
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Published in: | Annals of the Association of American Geographers 2003-12, Vol.93 (4), p.828-850 |
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description | This article investigates the cognitive processes used by learners (adults and young adolescents) for tasks that require the integration of geographical information across spaces, hierarchies, and geographic scales. An experiment simulated basic GIS functions and contained four experimental conditions (Chunk, Layer, Scale, and Whole). Reaction time, accuracy, and confidence were recorded as dependent variables related to the success of the integration process. The data were used as input for a back-propagation neural-network model. The neural network model was successful in learning patterns and could be used to predict the confidence, reaction time, and accuracy for combinations of learners, experimental conditions, and map-feature categories. A multivariate analysis of variance was used to determine significant relationships among the behavioral variables and characteristics of the learners, experimental conditions related to GIS functions, and map features (points, lines, and areas). The results of the analysis generally indicated that young adolescent learners were slower, less accurate, and more confident than adult learners for all experimental conditions. Overall, subjects were more accurate and confident in tasks that required less integration of geographical information. Learners had the most success recalling information related to area symbols and the least success recalling information related to point symbols. |
doi_str_mv | 10.1111/j.1467-8306.2003.09304004.x |
format | article |
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An experiment simulated basic GIS functions and contained four experimental conditions (Chunk, Layer, Scale, and Whole). Reaction time, accuracy, and confidence were recorded as dependent variables related to the success of the integration process. The data were used as input for a back-propagation neural-network model. The neural network model was successful in learning patterns and could be used to predict the confidence, reaction time, and accuracy for combinations of learners, experimental conditions, and map-feature categories. A multivariate analysis of variance was used to determine significant relationships among the behavioral variables and characteristics of the learners, experimental conditions related to GIS functions, and map features (points, lines, and areas). The results of the analysis generally indicated that young adolescent learners were slower, less accurate, and more confident than adult learners for all experimental conditions. Overall, subjects were more accurate and confident in tasks that required less integration of geographical information. Learners had the most success recalling information related to area symbols and the least success recalling information related to point symbols.</description><subject>Adolescence</subject><subject>Adolescents</subject><subject>Adult education</subject><subject>Bgi / Prodig</subject><subject>Cartography</subject><subject>Cognition</subject><subject>Cognition & reasoning</subject><subject>Cognitive development</subject><subject>Cognitive models</subject><subject>General methodology</subject><subject>Geographic information systems</subject><subject>Geography</subject><subject>GIS</subject><subject>Learning</subject><subject>Map skills</subject><subject>Methods, Models, and GIS</subject><subject>Modeling</subject><subject>neural network</subject><subject>Neurons</subject><subject>Space</subject><subject>spatial abilities</subject><subject>Spatial analysis</subject><subject>spatial cognition</subject><subject>Technology</subject><subject>young adolescents</subject><issn>0004-5608</issn><issn>2469-4452</issn><issn>1467-8306</issn><issn>2469-4460</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2003</creationdate><recordtype>article</recordtype><sourceid>8BJ</sourceid><recordid>eNqVkE1v2zAMhoWhBZpm-wc9BBu2U-3RlmTL6ykI0nZA2h3WngVZH40NxcqkBK3__WS4WYCeVl0kig9fki9CXzJIs3i-t2lGijJhGIo0B8ApVBgIAElfPqDJv9wJmkD8TGgB7Aydh9DGMMMFmSD2oOW6c9Y99TPRqdmd2CYrLXzXdE8_Zo9B-3A5u9O7tVPxMRC_-03tbPiITo2wQX96vafo8Xr5sLhNVr9ufi7mq0SSqiIJq0yh8orlUmgVuxpphKq1EcyorC5rSqWuCiVpnTGqGROqlKKiMiea5gwknqJvo-7Wuz97HXZ80wSprRWddvvAccmgKgBH8PMbsHV738XZeA4MypIQFqGrEZLeheC14VvfbITveQZ8sJS3fLCND7bxwVJ-sJS_xOqvry1EkMIaLzrZhKNEAZREiyO3HLnnxur-PS34_P5-fgijzsWo04ad80cdmlFMh42vx3TTGec34tl5q_hO9Nb5w2z4f_b6C7MsqdM</recordid><startdate>200312</startdate><enddate>200312</enddate><creator>Lloyd, Robert</creator><creator>Bunch, Rick L.</creator><general>Taylor & Francis Group</general><general>Blackwell Publishers</general><general>Blackwell Publishing</general><general>Association of American Geographers</general><general>Taylor & Francis Ltd</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7UA</scope><scope>8BJ</scope><scope>C1K</scope><scope>F1W</scope><scope>FQK</scope><scope>H96</scope><scope>JBE</scope><scope>L.G</scope></search><sort><creationdate>200312</creationdate><title>Technology and Map-Learning: Users, Methods, and Symbols</title><author>Lloyd, Robert ; Bunch, Rick L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4994-89f6d2982caed000fcfadbefa8fd1b7b55ce96dc5b185e88ad7ca95c24e5280c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2003</creationdate><topic>Adolescence</topic><topic>Adolescents</topic><topic>Adult education</topic><topic>Bgi / Prodig</topic><topic>Cartography</topic><topic>Cognition</topic><topic>Cognition & reasoning</topic><topic>Cognitive development</topic><topic>Cognitive models</topic><topic>General methodology</topic><topic>Geographic information systems</topic><topic>Geography</topic><topic>GIS</topic><topic>Learning</topic><topic>Map skills</topic><topic>Methods, Models, and GIS</topic><topic>Modeling</topic><topic>neural network</topic><topic>Neurons</topic><topic>Space</topic><topic>spatial abilities</topic><topic>Spatial analysis</topic><topic>spatial cognition</topic><topic>Technology</topic><topic>young adolescents</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lloyd, Robert</creatorcontrib><creatorcontrib>Bunch, Rick L.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Water Resources Abstracts</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>International Bibliography of the Social Sciences</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>International Bibliography of the Social Sciences</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Annals of the Association of American Geographers</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lloyd, Robert</au><au>Bunch, Rick L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Technology and Map-Learning: Users, Methods, and Symbols</atitle><jtitle>Annals of the Association of American Geographers</jtitle><date>2003-12</date><risdate>2003</risdate><volume>93</volume><issue>4</issue><spage>828</spage><epage>850</epage><pages>828-850</pages><issn>0004-5608</issn><issn>2469-4452</issn><eissn>1467-8306</eissn><eissn>2469-4460</eissn><coden>AAAGAK</coden><abstract>This article investigates the cognitive processes used by learners (adults and young adolescents) for tasks that require the integration of geographical information across spaces, hierarchies, and geographic scales. An experiment simulated basic GIS functions and contained four experimental conditions (Chunk, Layer, Scale, and Whole). Reaction time, accuracy, and confidence were recorded as dependent variables related to the success of the integration process. The data were used as input for a back-propagation neural-network model. The neural network model was successful in learning patterns and could be used to predict the confidence, reaction time, and accuracy for combinations of learners, experimental conditions, and map-feature categories. A multivariate analysis of variance was used to determine significant relationships among the behavioral variables and characteristics of the learners, experimental conditions related to GIS functions, and map features (points, lines, and areas). The results of the analysis generally indicated that young adolescent learners were slower, less accurate, and more confident than adult learners for all experimental conditions. Overall, subjects were more accurate and confident in tasks that required less integration of geographical information. Learners had the most success recalling information related to area symbols and the least success recalling information related to point symbols.</abstract><cop>Oxford, UK</cop><pub>Taylor & Francis Group</pub><doi>10.1111/j.1467-8306.2003.09304004.x</doi><tpages>23</tpages></addata></record> |
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source | International Bibliography of the Social Sciences (IBSS); JSTOR Archival Journals; Taylor and Francis Social Sciences and Humanities Collection |
subjects | Adolescence Adolescents Adult education Bgi / Prodig Cartography Cognition Cognition & reasoning Cognitive development Cognitive models General methodology Geographic information systems Geography GIS Learning Map skills Methods, Models, and GIS Modeling neural network Neurons Space spatial abilities Spatial analysis spatial cognition Technology young adolescents |
title | Technology and Map-Learning: Users, Methods, and Symbols |
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