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2 e-learning e-bizgroup Consultant

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26 e-learning e-learning e-learning e-learning

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30 e-learning,,, (Self-Study) (Instructor-led)

31 e-learning

32 e-learning,,,,,,,,,,

33 e-learning,,, (Personalization, Customization) (Delivery), (, ), Just-in-time,,, /,,,,,,,,,,,,, / /,,

34 e-learning e-learning e-learning e-learning

35 e-learning

36 e-learning :

37 e-learning :

38 e-learning : e-learningkms

39 e-learning : e-learning

40 e-learning : m-learning

41 e-learning :

42 e-learning Learning object model IBM

43 e-learning Learning object model IBM / Mindspan

44 Overview Learning Objects Learning Objects e-learning Learning Objects the ADL SCORM CLEO Lab SCORM

45 What is a Learning Object? -. - e-learning : Learning Object = Asset (not necessarily digital) + Learning Object Metadata (digital)

46 Assumptions relevant to Learning Objects.... (learning object metadata)

47 Learning Objects Content Learning Objective Metadata Category Keywords n Classificatio Objective Content Date Assessment(s) Lab materials Learning Objects Duration Name Description Author

48 Learning Object Benefits ( ),, LMS

49 Decomposing e-learning Content ( ) ( ) ( ) Learning Event/Behavior/Screen (,, ) - media and text ( )

50 Content Decomposition Model 1 * Course 1 0..N Catalog * Learning Object 1 1..N * * Event 1..N * * Content Object

51 Learning Object Compiler(IBM Solution) Templates Learning Object Compiler (a.k.a. Publishing Engine) e-learning Content Logic files Content element tags Content layout tags Takes template, content and layout and outputs deployable content Packaged content - runtime engine can be in the package or external XML files Course structure Content elements by event Content element layout by event Content Delivery Content element tags Content layout tags Learning Studio (Knowledge Producer) Course outlining, content and layout creation and management, media management, project management, team development capabilities, workflow, etc. KP Read DB Tags to generate Word Docs Input forms Content elements Persistent Store Content element tags Content layout tags Word Doc Templates KP Project Database Table based forms for content cpture and editting Content and layout data Content Authoring

52 Assumptions about Interoperability... - Large blocks (systems: LMS to HR) About learners, learning, resources Data Model exchange Data Model Small blocks (content: lesson to lesson) Binding issues syntax, protocol, API

53 Growth of Interest in the Problem 1988 aviation industry and the AICC 1992 OCLC/W3C/Dublin Core 1996/97 e-learning ARIADNE, IMS, ADL, IEEE LTSC 1998/present?, Prometeus, ALIC, SC36, CLEO Lab

54 The Current Orthodoxy for Collaboration CLEO Lab IMS AICC ADL ALIC IEEE LTSC SC36

55 Learning Object Work ADL SCORM IMS AICC IEEE NETg NLO Cisco RLO/RIO Microsoft LRN(Learning Resource interchange)

56 ADL and SCORM ADL (U.S. Advanced Distributed Learning Initiative) 1997 e-learning SCORM (Sharable Content Object Reference Model) ADL Learning Object model

57 SCORM: the Bookshelf Metaphor CONTENT Meta-data XML Binding Best Practice From IMS Content Structure AICC Format data model Derived IMS Content from Packaging AICC Meta-data dictionary From IEEE Content to LMS API From AICC Content to LMS data model From AICC

58 Current SCORM Components IMS/IEEE metadata describes content LOM LOM Content Content Course Structure IMS Content Packaging connects content LOM Content Content API LMS AICC/ADL API tracks content

59 Learning Object Metadata (LOM) IEEE LTSC, ISO JTC1 SC36 IMSARIADNE (that built on DC work) 80 (general, lifecycle, metametadata, technical, educational rights, relation, annotation, classification) SCORM usage Learning Object Metadata LOM 3 : course, sharable content object, raw media IMS ARIADNE XML

60 Aggregation: IMS Content Packaging learning activities data to support a learning style resources for activities LOM record for resource Example simplified <manifest identifier="course01" xmlns:adl= > <organization identifier="sample course"> <item identifier="sco1" resourceref="sco1res">> <adl:scormdata>some data</adl:scormdata> <item identifier="sco1" resourceref="sco2res"> <adl:scormdata>some data</adl:scormdata> </item> activities mapped to resources </item> </organization> <resources> <resource identifier="sco1res" type="webcontent"> <metadata> sco1 metadata record </metadata> <file href="course01\lesson01\sco01.htm"/> </resource> <resource identifier="sco2res" type="webcontent"> <metadata> sco2 metadata record </metadata> <file href="course01\lesson02\sco02.htm"/> </resource> </resources> </manifest>

61 Runtime Communication HTML wrapper from LMS LMS/ Content API Calls API Adaptor From LMS Internet Processing Simple API LMS Initialize() LMSGet /SetValue (element) LMSFinish() JavaScript calling conventions API Adaptor is part of LMS

62 ADL 2001 Objectives Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec AICC IMS TB IEEE IMS TB AICC IEEE IMS TB IEEE AICC IMS TB IEEE IMS Content Packaging Test & Evaluation Phase SCORM 1.1 Release 1. Content Packaging Application Profiles; 2. New LOM & Binding ADL PlugFest 4 Cont. Pack. Developers Guide To SCORM SCORM 1.2 Release ADL PlugFest 5 Repositories SCORM 1.3 Release Query Services Application Profiles ADL PlugFest 6 Data Models Seq.&Nav SCORM 2.0 Release New Data Models Seq. & Nav. Skins, etc. 1. Content Model - Meta-data - XML Binding - CSF 2. Run-time Environment - API - Data Model Repository Functional Requirements 2.0 SCORM Architecture Scope Document LON Repository Test Bed Repository Query Services Hand Held Delivery SCORM 2.0 Test & Evaluation Phase CLEO Seq.& Navigation, Skins, Learning Models Coordinated Test Bed - CMU & National Guard Bureau 2.0 SCORM Advanced Research Content Conversion/Repository Test -Performance Support -Intelligent Tutoring Systems -Simulations

63 the CLEO Lab customized learning experiences online virtual lab? applied research collaboration goal: address critical path limitations of SCORM model goal: demonstrate how SCORM might support a richer set of pedagogically sound learning experiences goal: share research with relevant initiatives to accelerate the development of viable specifications

64 CLEO Lab Participants U.S. ADL Initiative contributing $ 300K, staff resources Corporate members CISCO Systems, Click2Learn, IBM Mindspan Solutions, Microsoft Corporation, NETg contributing $50K, staff resources Funded academic researchers Carnegie Mellon University, Open University, U.K. Organized under aegis of IEEE ISTO

65 The CLEO Lab Approach Learning scenarios drive interoperability requirements learning scenarios academic oversight technical framework data models e.g. learner performance scenario delivery agent e.g. platform services e.g. sequencing development e.g. reusable parts content e.g. rich media

66 CLEO Lab Status Original project end/deliverables due December 2001 Interest in continuing after December From CMU, first cut at framework and data models for learning content structure, sequencing, rendering Open U. collecting documents to define taxonomy of learning models Priority focus on content sequencing About to begin user studies on sequencing requirements ADL engineers allocated for sequencing testbed Fall 2001

67 Useful Learning Object Specification Areas AICC HACP * AICC LMS API * ADL SCORM API * AICC Course Structure Interchange Format * IMS Content Packaging Specification ( ) ADL SCORM Metadata IEEE LOM

68 Work to be done XML DTD/ Schema Learning Object Learning Object XML Learning Object Course Learning Object Content Management System

69 IBM / Mindspan.

70 On-Off line e-learning Cyber KAIST Sales & Marketing Manager

71 Seminar e-learning Cyber KAIST # Samsung-dong, Kangnam-gu, Seoul, Korea Tel

72 Seminar Contents ;

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77 Seminar DB

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85 CRM 1 : 1 ycpark@webpattern.com

87 CRM 1:1

88 e-learning CRM e-learning 1:1 Feedback e-learning + CRM : Case Study

89 e-learning history(?)

90 was successful?

91 Why?

92 e-learning CRM e-learning 1:1 Feedback e-learning + CRM case Study

93 e-learning? CRM?

94 B2B e-learninge

95 1:1 Feedback CRM

96 e-learning CRM e-learning 1:1 Feedback e-learning + CRM case Study

97 e-learning + CRM : Case Study

98 e-learning + CRM : Case Study

99 one way CRM Passive Recommendation by Explicit Data Active & Automated Recommendation By Explicit & Implicit Data

100 DataFlow Real-time Evidence Collection Analysis & Inference Monitoring Data flow

101 Communication

102 Communication

103 Communication Communication

104 Communication

105 Contents Communication

106 CRM + e-learninge Log CRM + e-learning / Log Feedback Contents - feedback

107 Thank-You

108 B2B e-learning

109 Inews24.com

148 Q A &

SchoolNet튜토리얼.PDF

SchoolNet튜토리얼.PDF Interoperability :,, Reusability: : Manageability : Accessibility :, LMS Durability : (Specifications), AICC (Aviation Industry CBT Committee) : 1988, /, LMS IMS : 1997EduCom NLII,,,,, ARIADNE (Alliance