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https://doi.org/10.1109/educon...
Article . 2016 . Peer-reviewed
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Support peer assessment processes in online problem-based learning

Authors: Samaka, Mohammed; Miao, Yongwu; Wang, Disi;

Support peer assessment processes in online problem-based learning

Abstract

Problem Based Learning (PBL) is proposed as one of the most well-known alternatives to traditional lectures in modeling engineering graduates to become independent workers, critical thinkers, problem solver, lifelong learners, and team worker. In the past decades much has been reported about how to support online PBL, but much less attention has been given to support assessment in an online PBL. Recently, the authors of this paper have developed a domain-specific modeling language approach and an associated web-based PBL application to support the development and delivery of online PBL modules in a cost-effective and flexible manner. In this paper, the authors emphasize to support peer assessment in an online PBL. Through using a peer assessment example, the authors present how to support teachers, who may not have a comprehensive technical knowledge, to specify a peer assessment process as a segment of a PBL script, a graphical representation of a PBL strategy. Then the PBL application can transform a PBL script that including the peer assessment into a formal model represented in an international e-learning technical standard IMS-Learning Design (IMS-LD). Finally, such a formal model can be executed in any IMS-LD compatible run-time environment. We have demonstrated the technical feasibility of this approach through specifying and transforming the example peer assessment script.

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Keywords

Embedded systems, Teaching, E-learning, Adaptive systems, Cost effectiveness, Engineering education, Specification languages, Domain specific modeling languages, Education, Peer assessment, Informatik, IMS-LD, Problem based learning, Modeling languages, learning deisgn

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Average
Top 10%
Top 10%
Green