SA/SNZ TS ISO/IEC 20748.3:2020
Information technology for learning, education and training - Learning analytics interoperability, Part 3: Guidelines for data interoperability
Objective of this document is to specify guidelines for mapping between different learning analytics data representations. Using xAPI and IMS Caliper as reference specifications, this document introduces data API regarding learning analytics as well as guidelines to use the APIs, which can be generalized to other contexts. Both syntactic and semantic mappings are in scope. This document is identical with, and has been reproduced from, ISO/IEC TS 20748-3:2020 Information technology for learning, education and training - Learning analytics interoperability - Part 3: Guidelines for data interoperability.
SA/SNZ TS ISO/IEC 20748.3:2020 Information technology for learning, education and training - Learning analytics interoperability Guidelines for data interoperability
Preface
Foreword
Introduction
1 Scope
2 Normative references
3 Terms and definitions
4 Abbreviated terms
5 Introduction to data APIs for LET purposes
5.1 General
5.2 Experience API (xAPI)
5.3 IMS Caliper
5.4 Brief comparison of xAPI and IMS Caliper
5.4.1 Context for the comparison
5.4.2 Detailed comparison
6 Summary of use cases for data interoperability
6.1 General
6.2 Mapping rules for xAPI and IMS Caliper
6.3 Customized profiles for each specification
6.4 xAPI for non-specified data (non-profiled data)
6.5 Necessary for guideline to use both specifications
7 Guideline for data interoperability
7.1 Understanding data flows for learning analytics and data collection process
7.2 Preparation for data interoperability
7.2.1 General
7.2.2 xAPI statements and relationship with its profiles
7.2.3 IMS Caliper information model and relationship with its profiles
7.3 Design guide for the mapping rules for xAPI and IMS Caliper
Annex A (informative) Use cases and practices for data interoperability
Bibliography
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SA/SNZ TS ISO/IEC 20748.3:2020 Information technology for learning, education and training - Learning analytics interoperability Guidelines for data interoperability
Preface
Foreword
Introduction
1 Scope
2 Normative references
3 Terms and definitions
4 Abbreviated terms
5 Introduction to data APIs for LET purposes
5.1 General
5.2 Experience API (xAPI)
5.3 IMS Caliper
5.4 Brief comparison of xAPI and IMS Caliper
5.4.1 Context for the comparison
5.4.2 Detailed comparison
6 Summary of use cases for data interoperability
6.1 General
6.2 Mapping rules for xAPI and IMS Caliper
6.3 Customized profiles for each specification
6.4 xAPI for non-specified data (non-profiled data)
6.5 Necessary for guideline to use both specifications
7 Guideline for data interoperability
7.1 Understanding data flows for learning analytics and data collection process
7.2 Preparation for data interoperability
7.2.1 General
7.2.2 xAPI statements and relationship with its profiles
7.2.3 IMS Caliper information model and relationship with its profiles
7.3 Design guide for the mapping rules for xAPI and IMS Caliper
Annex A (informative) Use cases and practices for data interoperability
Bibliography