Electronic peer review and peer grading in computer-science courses

Gehringer, Edward F.

doi:10.1145/364447.364564

Cited by 84 publications

(41 citation statements)

References 8 publications

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“…Other examples are Kybartaite et al [16] and Gehringer [17]. The first one studies the benefits of virtual campus systems and the second one analyzed web systems for the peer review of students.…”

Section: Related Workmentioning

confidence: 99%

Use of Social Networks to Motivate Computer-Engineering Students to Participate in Self-assessment Activities

Guerrero¹,

Jaume-i-Capó²

2014

SIC

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Motivation is essential in the learning process of university students, and teachers should have a wide range of strategies to address this issue. The emergence of social technologies has had a considerable influence in e-learning systems, and a number of experts state that their use is a good method to motivate students and to increase their participation in activities. This study attempts to determine whether social networks and social applications should be viewed as many other tools or whether they can actually provide extra motivation for students to participate. The study compared the percentage of student participation in tasks of self-assessment. The experiments covered three traditional strategies of student motivation and another one in which social networks were used to introduce, explain and deliver the self-assessment tasks. The case with a higher participation was the one in which students obtained a reward from the completion of the activity. Despite this result, the statistical analysis indicated that the use of social networks obtained similar results as a strategy of continuous and regular motivational speeches.

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Section: Related Workmentioning

confidence: 99%

Use of Social Networks to Motivate Computer-Engineering Students to Participate in Self-assessment Activities

Guerrero¹,

Jaume-i-Capó²

2014

SIC

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“…Kern, Saraiva, and Pacheco [5] discuss its motivation in terms of collaboration, written expression, critical thinking, and professional responsibility. Several other scholars around the world have also practiced it in engineering and computing settings, e.g., [6][7][8][9][10][11][12][13][14].…”

Section: Approach To Growing a Peer Review Culture Among Studentsmentioning

confidence: 99%

Growing a Peer Review Culture among Graduate Students

Kern

Possamai

Selig

et al. 2009

Education and Technology for a Better World

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Abstract. Usual processes for pursuing education excellence in a graduate 1 program are candidate selection, coursework, research, and thesis defense. This paper is an experience report on a complementary approach: the growing of a peer review culture among graduate students. We instruct first-year masters and doctoral students on principles for preparing a thesis proposal. Students present their proposals in collective discussion sessions with feedback from professors. The students then submit their proposals through a web interface and are instructed on the role they will play next -of anonymous referees of their peers' proposals. The referee reports and general statistics are made available to all participating students and advisers. Updated proposals are submitted to an annual workshop open to all participating students and advisers. About 60 students take part in this annual series of seminars with peer review and workshop, generating individual thesis proposals and 180 referee reports, 3 for each proposal. Students and their advisers receive detailed feedback on individual participation as author and referee. The main strength of this experience is the opportunity to assimilate the techniques of objective criticism and to reflect about the quality of own and others' work. The paper outlines future research and development issues.

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“…Supporting programs for peer review in educational environments are reported as early as 1995. More recent tools, like PG [2,3], OASIS [4] or CPR [5], use the web to manage peer interaction.…”

Section: Adaptive Peer Reviewmentioning

confidence: 99%

An Algorithm for Peer Review Matching Using Student Profiles Based on Fuzzy Classification and Genetic Algorithms

Crespo

Pardo

Pérez³

et al. 2005

Innovations in Applied Artificial Intelligence

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Abstract. In the context of Intelligent Tutoring Systems, there is a potential for adapting either content or its sequence to student as to enhance the learning experience. Recent theories propose the use of teamworking environments to improve even further this experience. In this paper an effective matching algorithm is presented in the context of peer reviewing applied to an educational setting. The problem is formulated as an optimization problem to search a solution that satisfies a set of given criteria modeled as "profiles". These profiles represent regions of the solution space to be either favored or avoided when searching for a solution. The proposed technique was deployed in a first semester computer engineering course and proved to be both effective and well received by the students.

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Electronic peer review and peer grading in computer-science courses

Cited by 84 publications

References 8 publications

Use of Social Networks to Motivate Computer-Engineering Students to Participate in Self-assessment Activities

Use of Social Networks to Motivate Computer-Engineering Students to Participate in Self-assessment Activities

Growing a Peer Review Culture among Graduate Students

An Algorithm for Peer Review Matching Using Student Profiles Based on Fuzzy Classification and Genetic Algorithms

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