University of Saskatchewan - Computer Science
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Edmonton
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University of Alberta
University of Saskatchewan
Canada
University of Saskatchewan
Canada
Let's Talk Science
University of Saskatchewan
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Teledom International
University of Saskatchewan
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Saskatchewan
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Bachelor
Computer Science with Economics
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Obafemi Awolowo University
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University of Reading
University of Saskatchewan
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Computer Science
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Troubleshooting
Peer Review in Mentorship: Perception of the Helpfulness of Review and Reciprocal Ratings
Roberto Araya
Peer review is the main mechanism for quality evaluation and peer-mentoring in the research community. Yet
it has been criticized with respect to its summative function
as being prone to bias and inconsistency and approaches had been proposed to improve it (e.g. double blind review). However
relatively less attention has been paid on how well it meets its formative objective
i.e. providing useful feedback to help the authors improve their quality of work. In our previous work we proposed a modified peer review process
which involved a back-evaluation of reviews by the authors. This paper reports the results of a study of the application of this peer review process to support a group of teachers in Chile engage in group peer mentorship in the context of a summer continuing education course. The objectives are to find out if authors reciprocate their reviews feedback in the back-evaluation given to their reviewers
and if the review length affects the helpfulness and authors’ satisfaction with the reviews. Our results showed that peers did not reciprocate their ratings and review length did not affect peers’ satisfaction with the reviews.
Peer Review in Mentorship: Perception of the Helpfulness of Review and Reciprocal Ratings
Group matching for peer mentorship in small groups
Ethics of scientific peer review: Are we judging or helping the review recipients?
Kewen Wu
Exploiting the Use of Wikis to Support Collaborative Writing: A Case Study of an Undergraduate Computer Science Class
Mapping Wiki User Contribution Types to Motivations for Participation: a Case Study
Kewen Wu
Mapping Wiki User Contribution Types to Motivations for Participation: a Case Study
As we are entering the age of open social e-learning environments
group (peer) mentorship becomes an increasingly important mode of learning. The academic peer review system can be viewed as a group mentorship system. Peer reviews have been used for over a century by the research community to provide not only quality control for publishing new research contributions
but also as a way to provide constructive feedback to the authors and help them to improve their work. There are two critical questions that need to be addressed in both peer-review and group peer mentorship: 1) how to motivate reviewers (mentors) to give serious
detailed and constructive feedback
2) how to find good reviewers (mentors) for a particular author (mentee). This research addresses the above questions in the context of a group online peer-mentorship system aimed at improving the writing skills of university students using a conference peer review model.
Can Online Peer-Review Systems Support Group Mentorship?
Fred Phillips
Group peer mentorship is a collaborative learning venture where peers are both mentors and mentees. Existing work had shown that trust is vital in building a strong mentoring relationship. In this research
we implemented a modified peer review process with a group of professional accountants
to sup- port them in group peer mentorship. Our goal was to find out how peers’ inter- personal trust scores affect their rating behavior both as mentors and as mentees. Our results show that the interpersonal trust score influences rating behavior and it depends on the roles assumed by peers in the mentoring rela- tionship.
Dynamics of trust in group peer mentorship
Recommendation
Trust and Reputation Management in a Group Online Mentorship System
Existing online mentorship systems typically match mentors and mentees manually. Recommender systems can be used to match mentors and mentees and trust and reputation mechanisms can be used to improve the deci-sion process. This paper discusses the state-of-the-art in online mentorship sys-tems
recommender systems
and trust and reputation mechanisms. It further proposes a five-stage process for automatic matching groups of mentors and mentees in online mentorship systems.
Recommendation
Trust and Reputation Management in a Group Online Mentorship System
Scientist and educator with a demonstrated history of teaching in the higher education industry and research in the area of educational technology. Interested in educational data mining
inclusive learning (special needs’ support) and collaborative learning.
Bunmi Olakanmi
PhD
MBCS
Research Scientist
Automotive Finance and Leasing
KPMG Professional Services
Teledom International
University of Saskatchewan
University of Alberta