Mahdi, Reham (2020) Exploring the role of experience API in supporting new trends in Educational Technology: A literature review. Masters thesis, Concordia University.
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Abstract
Despite its growth in the area of educational technology, Experience API (xAPI) continues to be under-used as a solution across the different platforms in institutions and organizations. There is a lack of any detailed summary in the literature about the potential and the limitation of using xAPI in conjunction with learning platforms and technologies. This thesis examines the role of xAPI in promoting, shaping and supporting learning in organizational contexts. This discussion is developed by using cases reported in the literature and new cases from contemporary educational technologies. The thesis illustrates the role the standard plays within current major trends in digital learning and within the context of a broader ecosystem of learning platforms and technologies. It provides a useful and thorough account of xAPI and its potential to an audience of individuals responsible for implementing xAPI within organizations. xAPI provides to some extent a promise of improved impact to Performance Evaluation and Evaluating training Effectiveness. However, xAPI lacks concrete cases and examples to support its utilization in the fields of Learning Analytics, Performance Management, Predictive Learning and Workforce Planning.
Keywords: Experience API (xAPI), Learning Management Systems, Learning Record Store, Learning Analytics, Microlearning, Evaluation Effectiveness, Predictive Learning, Adaptive Learning, Workforce Planning.
Divisions: | Concordia University > Faculty of Arts and Science > Education |
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Item Type: | Thesis (Masters) |
Authors: | Mahdi, Reham |
Institution: | Concordia University |
Degree Name: | M.A. |
Program: | Educational Technology |
Date: | 5 December 2020 |
Thesis Supervisor(s): | Shaw, Steven |
Keywords: | Keywords: Experience API (xAPI), Learning Management Systems, Learning Record Store, Learning Analytics, Microlearning, Evaluation Effectiveness, Predictive Learning, Adaptive Learning, Workforce Planning. |
ID Code: | 988349 |
Deposited By: | REHAM MAHDI |
Deposited On: | 27 Oct 2022 13:51 |
Last Modified: | 27 Oct 2022 13:51 |
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