Intelligent and adaptive learning systems: technology enhanced support for learners and teachers
Gespeichert in:
| Format: | Buch |
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| Sprache: | English |
| Veröffentlicht: |
Hershey PA
Information Science Reference
2012
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| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | "This book focuses on how intelligent support and adaptive features can be integrated in currently used learning systems and discusses how intelligent and adaptive learning systems can be improved in order to provide a better learning environment for learners"--Provided by publisher. Includes bibliographical references and index |
| Beschreibung: | XXV, 398 S. graph. Darst. |
| ISBN: | 9781609608422 9781609608446 |
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| 500 | |a "This book focuses on how intelligent support and adaptive features can be integrated in currently used learning systems and discusses how intelligent and adaptive learning systems can be improved in order to provide a better learning environment for learners"--Provided by publisher. | ||
| 500 | |a Includes bibliographical references and index | ||
| 650 | 4 | |a Intelligent tutoring systems | |
| 650 | 4 | |a Computer-assisted instruction | |
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TABLE OF CONTENTS
FOREWORD XV II
PREFACE XX
ACKNOWLEDGMENT XXV
SECTION 1
INTELLIGENT AND ADAPTIVE COURSE PROVISION
CHAPTER 1 DECISION MODELS IN THE DESIGN OF ADAPTIVE EDUCATIONAL
HYPENNEDIA SYSTEMS I
DEMETRIOS G. SAMPSON, UNIVERSITY 0/ PIRAEUS, GREECE & CENTRE /OR
RESEARCH AND TECHNOLOGY HELLAS, GREECE PYTHAGORAS KARAMPIPERIS,
UNIVERSITY 0/ PIRAEUS, GREECE & NATIONAL CENTER 0/ SCIENTI.FIC RESEARCH
DEMOKRITOS , GREECE
CHAPTER 2 AUTOMATIE PERSONALIZATION IN E-LEARNING BASED ON
RECOMMENDATION SYSTEMS: AN OVERVIEW 19 MOHAMED KOUTHEAFR KHRIBI,
UNIVERSITY O/TUNIS, TUNISIA MOHAMED JEMNI, UNIVERSITY O/TUNIS, TUNISIA
OLFA NASRAOUI, UNIVERSITY 0/ LOUISVILLE, USA
CHAPTER 3 ENGINEERING AND REENGINEERING OFTECHNOLOGY ENHANCED LEARNING
SCENARIOS USING CONTEXT AWARENESS PROCESSES 34
CLARA INES PEILA DE CARRILLO, UNIVERSIDAD INDUSTRIAL DE SANTANDER,
COLOMBIA CHRISTOPHE CHOQUET, UNIVERSITY 0/ MAINE, FRANCE CHRISTOPHE
DESPRES, UNIVERSITY 0/ MAINE, FRANCE SEBASTIEN IKSAL, UNIVERSITY 0/
MAINE, FRANCE
PIERRE JACOBONI, UNIVERSITY 0/ MAINE, FRANCE AINA LEKIRA, UNIVERSITY 0/
MAINE, FRANCE EI AMINE OURAIBA, UNIVERSITY 0/ MAINE, FRANCE
DIEM PHAM THI-NGOC, UNIVERSITY 0/ MAINE, FRANCE
IMAGE 2
CHAPTER 4
FROM EUROPE TO CHINA: ADAPTING COURSEWARE GENERATION TO A DIFFERENT
EDUCATIONAL CONTEXT 59 XIAOHONG TAN, SHANGHAI JIAO TONG UNIVERSITY,
CHINA CARSTEN ULLRIEH, SHANGHAI JIAO TONG UNIVERSITY, CHINA RUIMIN SHEN,
SHANGHAI JIAO TONG UNIVERSITY, CHINA
CHAPTER 5 AN ARCHITECTURE FOR LEARNING ENVIRONMENTS BASED ON THE
LIGHTWEIGHT INTEGRATION OFINTELLIGENT AGENTS 7 I
SERGEY BUTAKOV, SOLBRIDGE INTERNATIONAL SCHOOL OF BUSINESS, SOUTH KOREA
DENIS SMOLINE, AMERIEAN UNIVERSITY OFNIGERIA, NIGERIA NOUSHEEN NAIMAT
SAMUEL, SOLBRIDGE INTERNATIONAL SCHOOL OF BUSINESS, SOUTH KOREA NAIMA
NAIMAT SAMUEL, SOLBRIDGE INTERNATIONAL SCHOOL OF BUSINESS, SOUTH KOREA
SECTION 2
INTELLIGENT AND ADAPTIVE FEEDBACK, TESTING AND ASSESSMENT
CHAPTER 6 INTELLIGENT MODEL-BASED FEEDBACK: HELPING LEARNERS TO MONITOR
THEIR INDIVIDUAL LEARN ING PROGRESS 88
DIRK IFENTHALER, UNIVERSITY OF MANNHEIM, GERMANY
CHAPTER 7 A KNOWLEDGE-BASED APPROACH OF MODELING AN INTERNET-BASED
INTELLIGENT LEARNING ENVIRONMENT FOR COMPREHENDING COMMON FRACTION
OPERATIONS 101
SIU CHEUNG KONG, THE HONG KONG INSTITUTE OF EDUEATION, HONG KONG
CHAPTER 8 FROM SELF- TESTED TO SELF- TESTING : A REVIEW OF
SELF-ASSESSMENT SYSTEMS FOR LEARNING 119 MINGMING ZHOU, NANYANG
TECHNOLOGIEAL UNIVERSITY, SINGAPORE
CHAPTER9 A TOOL FOR ADAPTIVE E-ASSESSMENT OF PROJECT MANAGEMENT
COMPETENCES 133
CONSTANTA-NIEOLETA BODEA, AEADEMY OF EEONOMIE STUDIES, ROMANIA
MARIA-IULIANA DASEALU, AEADEMY OF EEONOMIE STUDIES, ROMANIA
CHAPTER 10 E-LEARNING TOOLS WITH INTELLIGENT ASSESSMENT AND FEEDBACK FAR
MATHEMATICS STUDY 151 CHRISTINE BESEHERER, UNIVERSITY OF EDUEATION
LUDWIGSBURG, GERMANY DANIEL HERDING, RWTH AAEHEN UNIVERSITY, GERMANY
ULRIEH KORTENKAMP, UNIVERSITY OF EDUEATION KARLSRUHE, GERMANY WOLFGANG
MLLER, UNIVERSITY OF EDUEATION WEINGARTEN, GERMANY MARE ZIMMERMANN,
UNIVERSITY OF EDUEATION LUDWIGSBURG, GERMANY
IMAGE 3
SEETION 3
SEMANTIC TECHNOLOGIES AND ONTOLOGIES FOR INTELLIGENT AND ADAPTIVE
LEARNING
CHAPTER 11 BOOSTING SEMANTIC RELATIONS FOR EXAMPLE POPULATION IN CONCEPT
LEARNING 165
MING-CHI LIU, NATIONAL CHENG KUNG UNIVERSITY, TAIWAN KINSHUK, ATHABASEA
UNIVERSITY, CANADA YUEH-MIN HUANG, NATIONAL CHENG KUNG UNIVERSITY,
TAIWAN DUNWEI WEN, ATHABASEA UNIVERSITY, CANADA
CHAPTER 12 IMPROVING USER PROFLLING FOR ARIEHER PERSONALIZATION:
MODELING CONTEXT IN E-LEAMING 182 LSABELA GASPARINI, UNIVERSIDADE
FEDERAL DO RIO GRANDE DO SUL, BRAZIL & UNIVERSIDADE DO ESTADO DE SANTA
CATARINA, BRAZIL
VIETORIA EYHARABIDE, UNIVERSIDAD NACIONAL DEI CENTRO DE LA PEIA. DE BS.
AS., ARGENTINA & CONSEJO NAEIONAL DE LNVESTIGAEIONES CIENTIFIEAS Y
TEENIEAS, ARGENTINA SILVIA SEHIAFFINO, UNIVERSIDAD NAEIONAL DEI CENTRO
DE LA PEIA. DE BS. AS., ARGENTINA & CONSEJO NAEIONAL DE LNVESTIGAEIONES
CIENTIFIEAS Y TEENIEAS, ARGENTINA
MAREELO S. PIMENTA, UNIVERSIDADE FEDERAL DO RIO GRANDE DO SUL, BRAZIL
ANALIA AMANDI, UNIVERSIDAD NACIONAL DEI CENTRO DE LA PEIA. DE BS. AS.,
ARGENTINA & CONSEJO NACIONAL DE LNVESTIGAEIONES CIENTIFIEAS Y TEENIEAS,
ARGENTINA JOSE PALAZZO M DE OLIVEIRA, UNIVERSIDADE FEDERAL DO RIO GRANDE
DO SUL, BRAZIL
CHAPTER 13 TRAEING THE METAEOGNITIVE COMPETENEIES OF ONLINE LEAMERS 198
VIVE KUMAR, ATHABASEA UNIVERSITY, CANADA
CHAPTER 14 A MULTI-AETOR ONTOLOGY-BASED ASSISTANEE MODEL: A CONTRIBUTION
TO THE ADAPTIVE SEMANTIE WEB 213
GILBERT PAQUETTE, TELE-UNIVERSITE, CANADA OLGA MARINO, TELE-UNIVERSITE,
CANADA
CHAPTER 15 CONTEXT-AWARE FRAMEWORK FOR SUPPORTING PERSONALISATION AND
ADAPTATION IN CREATION OF LEARNING DESIGNS 229
PATRIEIA CHARLTON, UNIVERSITY 0/ LONDON, UK GEORGE D. MAGOULAS,
UNIVERSITY 0/ LONDON, UK
IMAGE 4
SEETION 4
ENHANCING COLLABORATIVE LEARNING WITH ADAPTIVITY AND INTELLIGENT SUPPORT
CHAPTER 16 ANALYZING CRITICAL FUNCTIONS OF RECORDING TOOLS FOR
SYNCHRONOUS CYBER CLASSROOM 1NSTRUCTION 250
CHUN-WANG WEI, FAR EAST UNIVERSITY, TAIWAN I-CHUN HUNG, NATIONAL SUN
YAT-SEN UNIVERSITY, TAIWAN KINSHUK, ATHABASCA UNIVERSITY, CANADA
NIAN-SHING CHEN, NATIONAL SUN YAT-SEN UNIVERSITY, TAIWAN
CHAPTER 17 SOFTWARE AGENT SYSTEMS FOR SUPPORTING STUDENT TEAM PROJECT
WORKING 264
JANICE WHATLEY, UNIVERSITY 0/ SALFORD, UK
SECTION 5
ADAPTIVE AND INTELLIGENT FEATURES FOR SUPPORTING LEARNING IN VIRTUAL
WORLDS
CHAPTER 18 EMBODIED AND EMBEDDED INTELLIGENCE: ACTOR AGENTS ON VIRTUAL
STAGES 280
BOB HELLER, ATHABASCA UNIVERSITY, CANADA MIKE PROCTER, ATHABASCA
UNIVERSITY, CANADA
CHAPTER 19 TECHNOLOGY ENHANCED LANGUAGE LEAMING IN VIRTUAL WORLDS 293
TOSTI H C. CHIANG, NATIONAL CENTRAL UNIVERSITY, TAIWAN TOM T C. TSAI,
NATIONAL CENTRAL UNIVERSITY, TAIWAN IRENE Y. S. LI, NATIONAL CENTRAL
UNIVERSITY, TAIWAN INDY Y. T HSIAO, NATIONAL CENTRAL UNIVERSITY, TAIWAN
STEPHEN J H YANG, NATIONAL CENTRAL UNIVERSITY, TAIWAN
SECTION 6
ADAPTIVITY AND INTELLIGENT SUPPORT FOR MOBILE, PERVASIVE, AND UBIQUITOUS
LEARNING
CHAPTER 20 MOBILE LEAMING: AN ECONOMIC APPROACH 311
ANDREEA MOLNAR, NATIONAL COLLEGE O/IRELAND, IRELAND CRISTINA HAVA
MUNTEAN, NATIONAL COLLEGE O/IRELAND, IRELAND
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CHAPTER 21
MOBILE COMPUTING AND MIXED-INITIATIVE SUPPORT FOR WRITING COMPETENCE 327
VIVE KUMAR, ATHABASCA UNIVERSITY, CANADA MAIGA CHANG, ATHABASCA
UNIVERSITY, CANADA TRACEY L. LEACOCK, SIMON FRASER UNIVERSITY, CANADA
COMPILATION OF REFERENCES 342
ABOUT THE CONTRIBUTORS 379
INDEX 393
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DETAILED TABLE OF CONTENTS
FOREWORD XVI I
PREFACE XX
ACKNOWLEDGMEN T XXV
SECTION 1
INTELLIGENT AND ADAPTIVE COURSE PROVISION
CHAPTER 1 DECISION MODELS IN THE DESIGN OF ADAPTIVE EDUCATIONAL
HYPERMEDIA SYSTEMS I
DEMETRIOS G. SAMPSON, UNIVERSITY OF PIRAEUS, GREECE & CENTRE FOR
RESEARCH AND TECHNOLOGY HELLAS, GREECE PYTHAGORAS KARAMPIPERIS,
UNIVERSITY OF PIRAEUS, GREECE & NATIONAL CENTER OF SCIENTIFIC RESEARCH
DEMOKRITOS , GREECE
THIS CHAPTER DISCUSSES ONE OFTHE CORE ISSUES IN INTELLIGENT AND ADAPTIVE
LEARNING SYSTEMS, NAMELY DESIGN APPROACHES FOR THE DEFINITION OF
ADAPTATION BEHAVIOUR IN LEARNING SYSTEMS. FURTHERMORE, IT LOOKS INTO HOW
TO EVALUATE THE PERFORMANCE OFTHE DESIGN OFADAPTATION MODELS, WHICH
DESCRIBE THE RULES AND BEHAVIOUR OF ADAPTIVE LEARNING SYSTEMS.
CHAPTER2 AUTOMATIE PERSONALIZATION IN E-LEARNING BASED ON RECOMMENDATION
SYSTEMS:AN OVERVIEW 19 MOHAMED KOUTHEALR KHRIBI, UNIVERSITY OFTUNIS,
TUNISIA MOHAMED JEMNI, UNIVERSITY OFTUNIS, TUNISIA
OLJA NASRAOUI, UNIVERSITY OF LOUISVILLE, USA
IN THIS CHAPTER, AN OVERVIEW OFPERSONALIZATION IN TECHNOLOGY ENHANCED
LEARNING BASED ON RECOMMENDATION SYSTEMS AND WEB MINING TECHNOLOGIES IS
PRESENTED.
IMAGE 7
CHAPTER3
ENGINEERING AND REENGINEERING OFTECHNOLOGY ENHANCED LEAMING SCENARIOS
USING CONTEXT AWARENESS PROCESSES 34
CLARA INES PENA DE CARRILLO, UNIVERSIDAD INDUSTRIAL DE SANTANDER,
COLOMBIA CHRISTOPHE CHOQUET, UNIVERSITY 0/ MAINE, FRANCE CHRISTOPHE
DESPRES, UNIVERSITY 0/ MAINE, FRANCE SEBASTIEN IKSAL, UNIVERSITY 0/
MAINE, FRANCE
PIERRE JACOBONI, UNIVERSITY 0/ MAINE, FRANCE AINA LEKIRA, UNIVERSITY 0/
MAINE, FRANCE EI AMINE OURAIBA, UNIVERSITY 0/ MAINE, FRANCE DIEM PHAM
THI-NGOC, UNIVERSITY 0/ MAINE, FRANCE
IN THIS CHAPTER, A CONTEXT MODELLING APPROACH IS INTRODUCED THAT
SUPPORTS TEACHERS AND TUTORS, HELPING TO REINFORCE THEIR SKILLS AND
ABILITIES IN CARRYING OUT REENGINEERING PROCESSES ON THEIR PEDAGOGICAL
SCENARIOS.
THIS ENABLES TEACHERS AND TUTORS TO ADAPT THEIR TEACHING ACTIONS,
CONSIDERING THEIR LEAMERS PROFILES AND PERFORMANCES IN TECHNOLOGY
ENHANCED LEAMING ENVIRONMENTS.
CHAPTER 4 FROM EUROPE TO CHINA: ADAPTING COURSEWARE GENERATION TO A
DIFFERENT EDUCATIONAL CONTEXT 59 XIAOHONG TAN, SHANGHAI JIAO TONG
UNIVERSITY, CHINA CARSTEN ULLRICH, SHANGHAI JIAO TONG UNIVERSITY, CHINA
RUIMIN SHEN, SHANGHAI JIAO TONG UNIVERSITY, CHINA
THIS CHAPTER DISCUSSES HOW CULTURAL ISSUES CAN BE CONSIDERED IN THE
COURSE GENERATION PROCESS OF ADAPTIVE LEAMING SYSTEMS AND DEMONSTRATES
THE CHANGES THAT ARE REQUIRED TO ADJUST AN ADAPTIVE LEAMING SYSTEM FOR
USE IN ANOTHER CULTURE.
CHAPTER 5 AN ARCHITECTURE FOR LEAMING ENVIRONMENTS BASED ON THE
LIGHTWEIGHT INTEGRATION OFINTELLIGENT AGENTS 71
SERGEY BUTAKOV, SOLBRIDGE INTERNATIONAL SCHOOL 0/ BUSINESS, SOUTH KOREA
DENIS SMOLINE, AMERICAN UNIVERSITY 0/ NIGERIA, NIGERIA NOUSHEEN NAIMAT
SAMUEL, SOLBRIDGE INTERNATIONAL SCHOOL 0/ BUSINESS, SOUTH KOREA NAIMA
NAIMAT SAMUEL, SOLBRIDGE INTERNATIONAL SCHOOL 0/ BUSINESS, SOUTH KOREA
IN THIS CHAPTER, A THEORETICAL FRAMEWORK IS PRESENTED THAT EXTENDS THE
CAPABILITIES OF LEAMING MANAGEMENT SYSTEMS WITH A MULTI-AGENT BASED
PLATFORM USING INTELLIGENT AGENTS FOR PERFORMING VARIOUS TASKS TO
IMPROVE COURSE PROVISION.
IMAGE 8
SECTION 2
INTELLIGENT AND ADAPTIVE FEEDBACK, TESTING AND ASSESSMENT
CHAPTER6 INTELLIGENT MODEL-BASED FEEDBACK: HELPING LEARNERS TO MONITOR
THEIR INDIVIDUAL LEARNING PROGRESS 88
DIRK IFENTHALER, UNIVERSITY 0/ MANNHEIM, GERMANY
THIS CHAPTER DISCUSSES THE THEORETICAL BACKGROUND FOR AN INTELLIGENT
FEEDBACK APPROACH AND INTRODUCES TWO INTELLIGENTAND AUTOMATED
MODEL-BASED FEEDBACK TOOLS. THESETOOLS PROVIDE FEEDBACK BASED ON NATURAL
LANGUAGE TEXT INPUT AS WEIL AS USE GRAPHICAL REPRESENTATIONS BASED ON
THE LEARNERS PRIOR KNOWLEDGE IN ORDER TO PROMOTE THE LEARNER S
SELF-REGULATED LEARNING.
CHAPTER 7 A KNOWLEDGE-BASED APPROACH OFMODELING AN INTERNET-BASED
INTELLIGENT LEARNING ENVIRONMENT FOR COMPREHENDING COMMON FRACTION
OPERATIONS 101
SIU CHEUNG KONG, THE HONG KONG INSTITUTE 0/ EDUCATION, HONG KONG
IN THIS CHAPTER, AN INTERNET-BASED INTELLIGENT LEARNING ENVIRONMENT FOR
FRACTION LEARNING IS INTRODUCED, FOCUSING ON THE NEXT STEP SUPPORT
FEATURE THAT PROVIDES LEARNERS WITH INTELLIGENT FEEDBACK TO BREAK THE
IMPASSE IN FRACTION OPERATIONS.
CHAPTER 8 FROM SELF-TESTED TO SELF-TESTING : A REVIEW
OFSELF-ASSESSMENT SYSTEMS FOR LEARNING 119 MINGMING ZHOU, NANYANG
TECHNOLOGICAL UNIVERSITY, SINGAPORE
THIS CHAPTER DISCUSSES THE ROLE OF SELF-ASSESSMENT TESTS IN INTELLIGENT
TUTORING SYSTEMS AND PROVIDES AN IN-DEPTH ANALYSIS AND SYNTHESIS OF
CURRENT RESEARCH AND DEVELOPMENTS IN THIS AREA. FURTHERMORE, A MODEL FOR
DIRECT SELF-ASSESSMENT IS PRESENTED, EMPHASIZING LEARNERS INITIATIVES
AS WEIL AS AN EXTERNAL SCAFFOLD FOR INTELLIGENT SELF-ASSESSMENT.
CHAPTER 9 A TOOL FOR ADAPTIVE E-ASSESSMENT OF PROJECT MANAGEMENT
COMPETENCES 133
CONSTANTA-NICOLETA BODEA, ACADEMY 0/ ECONOMIC STUDIES, ROMANIA
MARIA-IULIANA DASCALU, ACADEMY 0/ ECONOMIC STUDIES, ROMANIA
THIS CHAPTER INTRODUCES A TOOL FOR ADAPTIVE E-ASSESSMENT FOR PROJECT
MANAGEMENT COMPETENCES, USING THE COMPUTER ADAPTIVE TESTING (CAT)
PRINCIPLE. THE EFFECTIVENESS OFTHE TOOL IS DEMONSTRATED THROUGH AN
EVALUATION WITH 150 STUDENTS.
IMAGE 9
CHAPTER 10
E-LEARNING TOOLS WITH INTELLIGENT ASSESSMENT AND FEEDBACK FOR
MATHEMATICS STUDY 151 CHRISTINE BESEHERER, UNIVERSITY 0/ EDUEATION
LUDWIGSBURG, GERMANY DANIEL HERDING, RWTH AAEHEN UNIVERSITY, GERMANY
ULRIEH KORTENKAMP, UNIVERSITY 0/ EDUEATION KARLSRUHE, GERMANY
WOLFGANG MLLER, UNIVERSITY 0/ EDUEATION WEINGARTEN, GERMANY MARE
ZIMMERMANN, UNIVERSITY 0/ EDUEATION LUDWIGSBURG, GERMANY
THIS CHAPTER DISCUSSES INTELLIGENT ASSESSMENT IN MATHEMATICS EDUCATION
USING SEM I-AUTOMATIE FEEDBACK.
THE AUTHORS PRESENT A MODEL FOR INTELLIGENT ASSESSMENT AND INTRODUCE
SEVERAL PROTOTYPE APPLICATIONS OF SEM I-AUTOMATIE FEEDBACK AND
ASSESSMENT BASED ON THIS MODEL.
SECTION 3
SEMANTIC TECHNOLOGIES AND ONTOLOGIES FOR INTELLIGENT AND ADAPTIVE
LEARNING
CHAPTER 11 BOOSTING SEMANTIC RELATIONS FOR EXAMPLE POPULATION IN CONCEPT
LEARNING 165
MING-CHI LIU, NATIONAL CHENG KUNG UNIVERSITY, TAIWAN KINSHUK, ATHABASEA
UNIVERSITY, CANADA YUEH-MIN HUANG, NATIONAL CHENG KUNG UNIVERSITY,
TAIWAN DUNWEI WEN, ATHABASEA UNIVERSITY, CANADA
TH IS CHAPTER DISCUSSES THE AUTOMATIE CONSTRUCTION AND USE OF DIRECTED
SEMANTIC RELATIONS BETWEEN LEARN ING OBJECTS IN ORDER TO SCAFFOLD
LEARNERS SEMANTIC REASONING AND ENABLE THE PROVISION OF ADAPTIVE
LEARNING CONTE NT BASED ON SEMANTIC RELATIONS. IN THIS CHAPTER, AN
APPROACH FOR DIRECTED SEMANTIC RELATION GRAPH CONSTRUCTION IS
INTRODUCED, AND A LEARNING SCENARIO FOR DEMONSTRATING THE USE OF SUCH A
GRAPH IS PRESENTED.
CHAPTER 12 IMPROVING USER PROFILING FOR ARIEHER PERSONALIZATION:
MODELING CONTEXT IN E-LEARNING 182 ISABELA GASPARINI, UNIVERSIDADE
FEDERAL DO RIO GRANDE DO SUL, BRAZIL & UNIVERSIDADE DO ESTADO DE SANTA
CATARINA, BRAZIL
VIETORIA EYHARABIDE, UNIVERSIDAD NAEIONAL DEI CENTRO DE LA PEIA. DE BS.
AS., ARGENTINA & CONSEJO NAEIONAL DE INVESTIGACIONES CIENTIFIEAS Y
TEENIEAS, ARGENTINA SILVIA SEHIAFFINO, UNIVERSIDAD NAEIONAL DEI CENTRO
DE LA PEIA. DE BS. AS., ARGENTINA & CONSEJO NAEIONAL DE INVESTIGACIONES
CIENTIFIEAS Y TEENIEAS, ARGENTINA
MAREELO S. PIMENTA, UNIVERSIDADE FEDERAL DO RIO GRANDE DO SUL, BRAZIL
ANALFA AMANDI, UNIVERSIDAD NAEIONAL DEI CENTRO DE LA PCIA. DE BS. AS.,
ARGENTINA & CONSEJO NACIONAL DE INVESTIGAEIONES CIENTIFIEAS Y TECNIEAS,
ARGENTINA JOSE PALAZZO M DE OLIVEIRA, UNIVERSIDADE FEDERAL DO RIO GRANDE
DO SUL, BRAZIL
THIS CHAPTER FOCUSES ON MODELLING CONTEXT AND CULTURAL INFORMATION
THROUGH ONTOLOGIES. THEY INTRODUCE A PERSONALIZED APPROACH CALLED
ADAPTSUR THAT AIMS AT IMPROVING THE PERSONALIZATION CAPABILITIES OF
LEARNING SYSTEMS BY CONSIDERING CONTEXTUAL AND CULTURAL ASPECTS.
FURTHERMORE, THE INTEGRATION OF THIS APPROACH INTO TWO ADAPTIVE AND
INTELLIGENT LEARNING SYSTEMS IS DEMONSTRATED.
IMAGE 10
CHAPTER 13
TRACING THE METACOGNITIVE COMPETENCIES OF ON[INE LEAMERS 198
VIVE KUMAR, ATHABASCA UNIVERSITY, CANADA
THIS CHAPTER FOCUSES ON TRACING METACOGNITIVE COMPETENCES RE[ATED TO
SE[F-REGU[ATION FROM LEAMING ACTIVITIES OF ON[INE [EAMERS THROUGH AN
ONTO[OGY-BASED MECHANISM. THIS MECHANISM AIMS AT PROVIDING OPPORTUNITIES
FOR AUTHENTIC REAL-TIME FEEDBACK THAT NOT ONLY CONSIDERS [EAMERS
TASK-SPECIFIC, COMPETENCIES BUT ALSO THEIR METACOGNITIVE COMPETENCIES.
CHAPTER 14 A MU[TI-ACTOR ONTO[OGY-BASED ASSISTANCE MODE[: A CONTRIBUTION
TO THE ADAPTIVE SEMANTIC WEB 213
GI/BERT PAQUETTE, TELE-UNIVERSITE, CANADA GIGA MARINO, TELE-UNIVERSITE,
CANADA
THIS CHAPTER CONTRIBUTES TO THE ADAPTIVE SEMANTIC WEB AND INTRODUCES A
PERSONA[IZED ASSISTANCE MODEL THAT IS BASED ON ONTO[OGY MODELLING AND
SEMANTIC WEB TECHNIQUES, HE[PING [EAMERS PROCESSING TASK-BASED SCENARIOS
AND FINDING RESOURCES SUITED TO THEIR KNOW[EDGE, COMPETENCY, AND CONTEXT
OF USE.
CHAPTER 15 CONTEXT-AWARE FRAMEWORK FOR SUPPORTING PERSONA[ISATION AND
ADAPTATION IN CREATION OF LEARN ING DESIGNS 229
PATRICIA CHARLTON, UNIVERSITY 0/ LONDON, UK GEORGE D. MAGOULAS,
UNIVERSITY 0/ LONDON, UK
THIS CHAPTER DEALS WITH ADAPTATION AND PERSONA[IZATION IN THE CREATION
OFLEAMING DESIGNS, AND INTRODUCES A CONTEXT-AWARE ADAPTATION FRAMEWORK
THAT USES SEMANTIC WEB TECHNO[OGIES AND ONTOLOGICA[ MODELS FOR
SUPPORTING THE CREATION OF [EAMING DESIGNS THAT PROVIDE TEACHERS AND
COURSE DESIGNERS WITH ADAPTIVE AND PERSONALIZED EXPERIENCES.
SECTION 4
ENHANCING COLLABORATIVE LEARNING WITH ADAPTIVITY AND INTELLIGENT SUPPORT
CHAPTER 16 ANA[YZING CRITICA[ FUNCTIONS OF RECORDING TOOLS FOR
SYNCHRONOUS CYBER C[ASSROOM INSTRUCTION 250
CHUN-WANG WEI, FAR EAST UNIVERSITY, TAIWAN I-CHUN HUNG, NATIONAL SUN
YAT-SEN UNIVERSITY, TAIWAN KINSHUK, ATHABASCA UNIVERSITY, CANADA
NIAN-SHING CHEN, NATIONAL SUN YAT-SEN UNIVERSITY, TAIWAN
THIS CHAPTER DISCUSSES THE RECORDING OF LIVE INSTRUCTIONA[ ACTIVITIES
CONDUCTED IN SYNCHRONOUS CYBER C[ASSROOMS, INC[UDING LECTURES,
DEMONSTRATIONS, AND DISCUSSIONS. THE AUTHORS EXPLORE THE FUNCTIONA[
REQUIREMENTS FOR THE TYPES OF INSTRUCTION MODES AND CONDUCTED AN
ANALYSIS TO FIND THE BEST MATCH BETWEEN THE INSTRUCTION MODES AND THE
ESSENTIAL FUNCTIONS OF RECORDING TOOLS, AIMING AT PROVIDING [EAMERS WITH
THE MOST EFFECTIVE TOO[S TO [EAM IN A CYBER C1ASSROOM SETTING.
IMAGE 11
CHAPTER 17
SOFTWARE AGENT SYSTEMS FOR SUPPORTING STUDENT TEAM PROJECT WORKING 264
JANICE WHATLEY, UNIVERSITY OFSALFORD, UK
THIS CHAPTER FOCUSES ON USING AGENT TECHNOLOGIES FOR PROVIDING
INTELLIGENT SUPPORT TO STUDENTS FOR GETTING STARTED ON THEIR TEAM
PROJECTS, ALLOCATING TASKS TO INDIVIDUALS, AND AGREEING GROUND RULES FOR
THE TEAM. A SOFTWARE AGENT SYSTEM IS INTRODUCED AND THE EVALUATION OFTHE
SYSTEM BY STUDENTS IS DISCUSSED.
SECTION 5
ADAPTIVE AND INTELLIGENT FEATURES FOR SUPPORTING LEARNING IN VIRTUAL
WORLDS
CHAPTER 18 EMBODIED AND EMBEDDED INTELLIGENCE: ACTOR AGENTS ON VIRTUAL
STAGES 280
BOB HELLER, ATHABASCA UNIVERSITY, CANADA MIKE PROCTER, ATHABASCA
UNIVERSITY, CANADA
THIS CHAPTER FOCUSES ON EMBODIED AND EMBEDDED INTELLIGENCE IN VIRTUAL
WORLDS AND INTRODUCES THE AGENT ACTOR, FREUDBOT, A COMPUTER-CONTROLLED
INTELLIGENT AVATAR WHO RESPONDS INTELLIGENTLY TO HIS SURROUNDINGS IN
SECOND LIFE AND INTERACTS AND COMMUNICATES WITH OTHER AVATARS CONTROLLED
BY LEAMERS, ENGAGING THEM IN LEAMING THROUGH NATURAL LANGUAGE
CONVERSATIONS.
CHAPTER 19 TECHNOLOGY ENHANCED LANGUAGE LEAMING IN VIRTUAL WORLDS 293
TOSTI H C. CHIANG, NATIONAL CENTRAL UNIVERSITY, TAIWAN TOM T. C. TSAI,
NATIONAL CENTRAL UNIVERSITY, TAIWAN LRENE Y S. LI, NATIONAL CENTRAL
UNIVERSITY, TAIWAN LNDY Y T. HSIAO, NATIONAL CENTRAL UNIVERSITY, TAIWAN
STEPHEN J H YANG, NATIONAL CENTRAL UNIVERSITY, TAIWAN
THIS CHAPTER INTRODUCES HOW VIRTUAL WORLDS CAN BE USED FOR IMPROVING
LANGUAGE LEAMING, BENEFITTING FROM THE EMBEDDED INTELLIGENCE AND SOCIAL
CHARACTER OFTHESE WORLDS. FURTHERMORE, THIS CHAPTER DEMONSTRATES TWO
SUCCESSFUL CASE STUDIES OF LANGUAGE LEAMING IN SECOND LIFE.
IMAGE 12
SECTION 6
ADAPTIVITY AND INTELLIGENT SUPPORT FOR MOBILE, PERVASIVE, AND UBIQUITOUS
LEARNING
CHAPTER 20 MOBILE LEARNING: AN ECONOMIC APPROACH 311
ANDREEA MOLNAR, NATIONAL COLLEGE O/IRELAND, IRELAND CRISTINA
HAVAMUNTEANNATIONAL COLLEGE O/IRELAND, IRELAND, NATIONAL COLLEGE 0/
IRELAND, IRELAND
THIS CHAPTER DISCUSSES THE CONSIDERATION OF COSTS OFTHE EDUCATIONAL
MULTIMEDIA CONTENT DELIVERY IN MOBILE LEARNING AND INTRODUCES AN
E-IEARNING FRAMEWORK THAT PREDICTS A LEARNER S ECONOMIC BEHAVIOUR AND
TAKES IT INTO ACCOUNT WHEN DELIVERING EDUCATIONAL MULTIMEDIA CONTENT.
FURTHERMORE, A MECHANISM FOR REDUCING THE COST OFTHE EDUCATIONAL CONTENT
DELIVERY OVER MULTIMEDIA NETWORKS IS PRESENTED.
CHAPTER 21 MOBILE COMPUTING AND MIXED-INITIATIVE SUPPORT FOR WRITING
COMPETENCE 327
VIVE KUMAR, ATHABASCA UNIVERSITY, CANADA MAIGA CHANG, ATHABASCA
UNIVERSITY, CANADA TRACEY L. LEACOCK, SIMON FRASER UNIVERSITY, CANADA
THIS CHAPTER FOCUSES ON ENHANCING LEARNERS ACADEMIC WRITING COMPETENCE
THROUGH THE USE OFPERSONALIZED MOBILE LEARNING AND MIXED-INITIATIVES.
TWO STUDIES ARE PRESENTED, DEMONSTRATING WAYS OFRECORDING TRACES OF
PROBLEM SOLVING AND WRITING PROCESSES THAT CAN BE USED FOR PROVIDING
PERSONALIZED SUPPORT FOR IMPROVING LEARNERS ACADEMIC WRITING
COMPETENCIES.
COMPILATION OF REFERENCES 342
ABOUT THE CONTRIBUTORS 379
INDEX 393
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| spelling | Intelligent and adaptive learning systems technology enhanced support for learners and teachers Sabine Graf ... [et al.] Hershey PA Information Science Reference 2012 XXV, 398 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier "This book focuses on how intelligent support and adaptive features can be integrated in currently used learning systems and discusses how intelligent and adaptive learning systems can be improved in order to provide a better learning environment for learners"--Provided by publisher. Includes bibliographical references and index Intelligent tutoring systems Computer-assisted instruction Computerunterstützter Unterricht (DE-588)4070087-2 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Computerunterstützter Unterricht (DE-588)4070087-2 s DE-604 Graf, Sabine Sonstige oth Erscheint auch als Online-Ausgabe 978-1-60960-843-9 V:DE-604 application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=024564614&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
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| subject_GND | (DE-588)4070087-2 (DE-588)4143413-4 |
| title | Intelligent and adaptive learning systems technology enhanced support for learners and teachers |
| title_auth | Intelligent and adaptive learning systems technology enhanced support for learners and teachers |
| title_exact_search | Intelligent and adaptive learning systems technology enhanced support for learners and teachers |
| title_full | Intelligent and adaptive learning systems technology enhanced support for learners and teachers Sabine Graf ... [et al.] |
| title_fullStr | Intelligent and adaptive learning systems technology enhanced support for learners and teachers Sabine Graf ... [et al.] |
| title_full_unstemmed | Intelligent and adaptive learning systems technology enhanced support for learners and teachers Sabine Graf ... [et al.] |
| title_short | Intelligent and adaptive learning systems |
| title_sort | intelligent and adaptive learning systems technology enhanced support for learners and teachers |
| title_sub | technology enhanced support for learners and teachers |
| topic | Intelligent tutoring systems Computer-assisted instruction Computerunterstützter Unterricht (DE-588)4070087-2 gnd |
| topic_facet | Intelligent tutoring systems Computer-assisted instruction Computerunterstützter Unterricht Aufsatzsammlung |
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