Peer Assessment and Self-Assessment in Social Learning Environments Through a New Crowd-Sourced Mechanism

摘要: Social learning environments generally provide learners with the grounds to collaboratively create and share different contents. The variety considerably large amount of created contents makes them infeasible for students read through often results in a continuous reduction students’ contribution. Therefore, social should be equipped effective mechanisms evaluate accredit learner-created content relying on participation. In order suggest voluntary mechanism peer assessment least overhead, current study proposed new crowd sourced approach. approach called content-dependent multi-label voting (COMVO) offers various options each type consisting resource, assignment, forum, discussion, reply, comment. COMVO was implemented environment utilized by experts during educational activities university course. Peer voting, self-voting, experts, expert were qualitatively analyzed. indicated that contrast which mostly consists positively describing labels, self-voting labels match those given experts. Analysis implied is reliable expert-independent. This paper also provided insights about student behaviors reciprocal effects identified investigating role extrinsic intrinsic motivational orientation their behavior. Results subjective evaluation majority respondents found an enthusiastic efficient tool potential complete other similar mechanisms.