Verfügbarkeit: Investigating knowledge structures in computer science education

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Titel:	Investigating knowledge structures in computer science education
Von:	Andreas Michael Mühling
Person:	Mühling, Andreas Michael Verfasser aut
Hauptverfasser:	Mühling, Andreas Michael (VerfasserIn)
Format:	Abschlussarbeit Buch
Sprache:	Englisch
Veröffentlicht:	2014
Schlagworte:	Wissen Informatikunterricht Struktur Hochschulschrift
Online-Zugang:	https://mediatum.ub.tum.de/node?id=1190967 https://nbn-resolving.org/urn:nbn:de:bvb:91-diss-20140520-1190967-0-6 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027397148&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Beschreibung:	X, 285 S. graph. Darst.

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Datensatz im Suchindex

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adam_text	11 TECHNISCHE UNIVERSITAT MIINCHEN FAKULTAT FUR INFORMATIK FACHGEBIET DIDAKTIK DER INFORMATIK INVESTIGATING KNOWLEDGE STRUCTURES IN COMPUTER SCIENCE EDUCATION ANDREAS MICHAEL MUHLING VOLLSTANDIGER ABDRUCK DER VON DER FAKULTAT FUR INFORMATIK DER TECHNISCHEN UNIVERSITAT MUNCHEN ZUR ERLANGUNG DES AKADEMISCHEN GRADES EINES DOKTORS DER NATURWISSENSCHAFTEN (DR. RER. NAT.) GENEHMIGTEN DISSERTATION. VORSITZENDE: UNIV.-PROF. GUDRUN J. KLINKER, PH.D. PRUFER: 1. UNIV.-PROF. DR. PETER HUBWIESER 2. PROF. CHRISTOPHER HUNDHAUSEN, PH.D., WASHINGTON STATE UNIVERSITY, USA 3. UNIV.-PROF. DR. JOHANNES MAGENHEIM, UNIVERSITAT PADERBORN DIE DISSERTATION WURDE AM 19. FEBRUAR 2014 BEI DER TECHNISCHEN UNIVERSITAT MUNCHEN EINGEREICHT UND DURCH DIE FAKULTAT FUR INFORMATIK AM 5. MAI 2014 ANGENOM- MEN. HTTP://D-NB.INFO/1056891319 CONTENTS I INTRODUCTION 1 1 PROBLEM SETTING 3 2 DETAILED OVERVIEW 11 II THEORETICAL BACKGROUND AND RELATED WORK 17 3 KNOWLEDGE AND LEARNING 19 3.1 KNOWLEDGE 19 3.1.1 PSYCHOLOGICAL FOUNDATIONS 20 3.1.2 EPISTEMOLOGICAL FOUNDATIONS 24 3.2 LEARNING 25 3.2.1 PSYCHOLOGICAL FOUNDATIONS 26 3.2.2 CONSTRUCTIVISM 27 3.2.3 CONCEPTUAL CHANGE 30 3.2.4 MEANINGFUL LEARNING 33 3.2.5 MODELS OF LEARNING 36 3.3 ASSESSMENT 37 3.3.1 LEARNING OBJECTIVES 39 3.3.1.1 TAXONOMIES 39 3.3.2 LEARNING OUTCOMES 41 3.3.2.1 SOLO TAXONOMY 41 3.3.2.2 COMPETENCIES 42 V 4 CONCEPT MAPS 45 4.1 ELEMENTS 46 4.1.1 MAP STRUCTURE 50 4.2 APPLICATIONS 52 4.2.1 LEARNING AND TEACHING 54 4.2.2 ASSESSMENT 56 4.2.2.1 SCORING SYSTEM 60 5 ANALYSIS METHODS 67 5.1 GRAPH THEORY 67 5.2 PATHFINDER NETWORKS 68 5.2.1 CONSTRUCTION 69 5.2.2 INVESTIGATING STRUCTURAL KNOWLEDGE 71 5.3 CLUSTER ANALYSIS 75 5.3.1 PARTITIONING METHODS 75 5.3.2 MODEL BASED METHODS 77 5.4 TEXT MINING 78 5.4.1 EXISTING SOFTWARE SOLUTIONS 80 III FROM CONCEPT MAPS TO CONCEPT LANDSCAPES 83 6 POSSIBILITIES AND LIMITATIONS OF CONCEPT MAPS 85 6.1 COGNITIVE VIEW 85 6.1.1 OBSERVING THE EXTERNALIZATION 92 6.2 EPISTEMOLOGICAL VIEW 97 6.2.1 CONCEPT MAPS AS GRAPHS 98 6.2.1.1 REPRESENTATIONS IN COMPUTERS 101 6.3 EDUCATIONAL VIEW 103 VI 6.3.1 ASSESSING LEARNING 104 6.3.2 SCORING CONCEPT MAPS 108 7 CONCEPT LANDSCAPES 111 7.1 DEFINITION 112 7.1.1 FORMAL DEFINITION 117 7.1.1.1 VERTICAL 117 7.1.1.2 HORIZONTAL 118 7.2 ANALYSIS METHODS 119 7.2.1 CLUSTER ANALYSIS 119 7.2.1.1 SIMILARITY BASED CLUSTERING 122 7.2.1.2 LATENT CLASS CLUSTERING 123 7.2.1.3 EXAMPLE 125 7.2.2 PATHFINDER 131 7.2.2.1 EXAMPLE 135 7.2.3 GRAPH MEASURES 138 7.2.3.1 SIMPLE GRAPH MEASURES 138 7.2.3.2 ADVANCED GRAPH MEASURES 139 7.2.3.3 COMMUNITY DETECTION 141 7.2.3.4 FREQUENT SUBGRAPH ANALYSIS 142 7.2.4 VISUALIZATION 143 7.2.4.1 VERTICAL LANDSCAPES 144 7.2.4.2 HORIZONTAL LANDSCAPES 145 8 SOFTWARE SUPPORT FOR CONCEPT LANDSCAPES 149 8.1 COMAPED 150 8.1.1 REQUIREMENTS ANALYSIS 150 8.1.2 DESIGN AND IMPLEMENTATION 152 VII 8.2 COMATO 155 8.2.1 REQUIREMENTS ANALYSIS 155 8.2.2 DESIGN AND IMPLEMENTATION 156 8.3 CONEX 156 8.3.1 REQUIREMENTS ANALYSIS 157 8.3.2 DESIGN AND IMPLEMENTATION 157 IV CASE STUDIES 161 9 OVERVIEW 163 10 CS1: COMPUTER SCIENCE EDUCATION FOR NON-MAJORS 167 10.1 DESCRIPTION OF THE SETTING 167 10.2 DATA COLLECTION & RESEARCH QUESTIONS 169 10.3 ANALYSIS AND RESULTS 173 10.3.1 RQ1: DEVELOPMENT OF KNOWLEDGE 174 10.3.2 RQ2: COMMON KNOWLEDGE AND MISCONCEPTIONS 177 10.3.3 RQ3: THE PROCESS OF LEARNING 182 10.4 DISCUSSION 182 11 CS2: KNOWLEDGE STRUCTURES OF BEGINNING CS STUDENTS 187 11.1 DESCRIPTION OF THE SETTING 187 11.1.1 DESCRIPTION OF THE SUBJECT INFORMATICS 188 11.2 DATA COLLECTION & RESEARCH QUESTIONS 190 11.3 ANALYSIS AND RESULTS 193 11.3.1 RQ1: PRIOR KNOWLEDGE OF BEGINNING CS STUDENTS 193 11.3.2 RQ2: EFFECT OF CS EDUCATION IN SECONDARY SCHOOLS ... 198 11.4 DISCUSSION 199 VIII 12 CS3: CONCEPTUAL KNOWLEDGE AND ABILITIES 205 12.1 DESCRIPTION OF THE SETTING 205 12.2 DATA COLLECTION & RESEARCH QUESTIONS 206 12.3 ANALYSIS AND RESULTS 209 12.3.1 RQ1: DEVELOPMENT OF STRUCTURAL KNOWLEDGE 210 12.3.2 RQ2: CONNECTIONS BETWEEN KNOWLEDGE AND ABILITIES ... 215 12.4 DISCUSSION 220 V CONCLUSION 225 13 SUMMARY 227 14 DISCUSSION 231 14.1 CASE STUDIES 235 15 FURTHER RESEARCH 239 15.1 IDENTIFYING THRESHOLD CONCEPTS OF CS 240 15.2 COMBINING KNOWLEDGE SPACE THEORY AND CONCEPT MAPS .... 241 16 ACKNOWLEDGEMENTS 243 APPENDIX A EXAMPLE MAPS FOR PATHFINDER ANALYSIS 245 APPENDIX B ADDITIONAL DIAGRAMS FOR CS1 247 APPENDIX C ADDITIONAL DIAGRAMS FOR CS3 249 LIST OF FIGURES 259 LIST OF TABLES 264 REFERENCES 265 IX
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spellingShingle	Mühling, Andreas Michael Investigating knowledge structures in computer science education Wissen (DE-588)4066559-8 gnd Informatikunterricht (DE-588)4026898-6 gnd Struktur (DE-588)4058125-1 gnd
subject_GND	(DE-588)4066559-8 (DE-588)4026898-6 (DE-588)4058125-1 (DE-588)4113937-9
title	Investigating knowledge structures in computer science education
title_auth	Investigating knowledge structures in computer science education
title_exact_search	Investigating knowledge structures in computer science education
title_full	Investigating knowledge structures in computer science education Andreas Michael Mühling
title_fullStr	Investigating knowledge structures in computer science education Andreas Michael Mühling
title_full_unstemmed	Investigating knowledge structures in computer science education Andreas Michael Mühling
title_short	Investigating knowledge structures in computer science education
title_sort	investigating knowledge structures in computer science education
topic	Wissen (DE-588)4066559-8 gnd Informatikunterricht (DE-588)4026898-6 gnd Struktur (DE-588)4058125-1 gnd
topic_facet	Wissen Informatikunterricht Struktur Hochschulschrift
url	https://mediatum.ub.tum.de/node?id=1190967 https://nbn-resolving.org/urn:nbn:de:bvb:91-diss-20140520-1190967-0-6 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027397148&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
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