IEEE 1484.11.1-2022(Redline)
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IEEE Standard for Learning Technology–Data Model for Content Object Communication (Redline)
Published By | Publication Date | Number of Pages |
IEEE | 2022 | 52 |
Revision Standard – Active. A data model to support the interchange of data elements and their values between a content object and a runtime service (RTS) is described in this standard. This standard is based on a current industry practice called “computer managed instruction” (CMI). The work on which this standard is based was developed to support a client–server environment in which a learning technology system, generically called a “learning management system” (LMS), delivers digital content, called “content objects,” to learners. The data model supports learner data and preferences; interactions; objectives; content-object entry, exit, and status information; time parameters; and scores.
PDF Catalog
PDF Pages | PDF Title |
---|---|
1 | IEEE Std 1484.11.1-2022 Front Cover |
2 | Title page |
4 | Important Notices and Disclaimers Concerning IEEE Standards Documents Notice and Disclaimer of Liability Concerning the Use of IEEE Standards Documents Translations |
5 | Official statements Comments on standards Laws and regulations Data privacy Copyrights |
6 | Photocopies Updating of IEEE Standards documents Errata Patents |
7 | IMPORTANT NOTICE |
8 | Participants |
9 | Introduction |
10 | Contents |
11 | 1. Overview 1.1 Scope 1.2 Purpose 1.3 Word usage |
12 | 2. Normative references 3. Definitions, acronyms, and abbreviations 3.1 Definitions |
13 | 3.2 Acronyms and abbreviations 4. Conformance |
14 | 4.1 Data instances 4.2 Sending implementations 4.3 Receiving implementations 4.4 Repository implementations 4.5 Implementation-defined values 4.6 Smallest permitted maximum values 5. Data model |
15 | 5.1 Content object communication |
16 | 5.1.1 Comments from learner |
17 | 5.1.2 Comments from LMS 5.1.3 Completion status 5.1.4 Completion threshold |
18 | 5.1.5 Credit 5.1.6 Data model version 5.1.7 Entry |
19 | 5.1.8 Exit 5.1.9 Interactions |
20 | 5.1.9.1 ID |
21 | 5.1.9.2 Type |
22 | 5.1.9.3 Objectives ID 5.1.9.4 Time stamp 5.1.9.5 Correct responses |
26 | 5.1.9.6 Weighting 5.1.9.7 Learner response |
29 | 5.1.9.8 Result 5.1.9.9 Latency |
30 | 5.1.9.10 Description 5.1.10 Launch data 5.1.11 Learner ID |
31 | 5.1.12 Learner name 5.1.13 Learner preference data 5.1.13.1 Audio level |
32 | 5.1.13.2 Language 5.1.13.3 Delivery speed 5.1.13.4 Audio captioning 5.1.14 Lesson status |
33 | 5.1.15 Location |
34 | 5.1.16 Max time allowed 5.1.17 Mode 5.1.18 Objectives |
35 | 5.1.18.1 ID 5.1.18.2 Score |
36 | 5.1.18.3 Status 5.1.18.4 Progress measure 5.1.18.5 Completion status |
37 | 5.1.18.6 Success status 5.1.18.7 Description 5.1.19 Progress measure |
38 | 5.1.20 Raw passing score 5.1.21 Scaled passing score 5.1.22 Score 5.1.23 Session time |
39 | 5.1.24 Success status 5.1.25 Suspend data 5.1.26 Time limit action |
40 | 5.1.27 Total time 5.2 Auxiliary data types 5.2.1 Comment type |
41 | 5.2.1.1 Comment 5.2.1.2 Location 5.2.1.3 Time stamp 5.2.2 Completion status type |
42 | 5.2.3 Date time type 5.2.4 Language type |
43 | 5.2.5 Localized string type |
44 | 5.2.5.1 Language 5.2.5.2 String 5.2.6 Long identifier type 5.2.7 Progress measure type |
45 | 5.2.8 Score type 5.2.8.1 Raw 5.2.8.2 Min |
46 | 5.2.8.3 Max 5.2.8.4 Scaled 5.2.9 Short identifier type 5.2.10 Success status type |
47 | Annex A (informative) Bibliography |
48 | Annex B (informative) Understanding the ISO/IEC 11404:1996 real and time interval data type definitions used in this standard B.1 Real data type B.2 Time interval data type |
50 | Annex C (informative) ISO 8601:2000 representation of the data time type |
51 | Annex D (informative) Conceptual model of IEEE Std 1484.11.1 |