ERIC Number: EJ1161698
Record Type: Journal
Publication Date: 2018
Pages: 27
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1539-3100
EISSN: N/A
Collaborative Calibrated Peer Assessment in Massive Open Online Courses
Boudria, Asma; Lafifi, Yacine; Bordjiba, Yamina
International Journal of Distance Education Technologies, v16 n1 Article 5 p76-102 2018
The free nature and open access courses in the Massive Open Online Courses (MOOC) allow the facilities of disseminating information for a large number of participants. However, the "massive" propriety can generate many pedagogical problems, such as the assessment of learners, which is considered as the major difficulty facing in the MOOC. In fact, the immense number of learners who exceeded in some MOOC the hundreds of thousands make the instructors' evaluation of students' production quite impossible. In this work, the authors present a new approach for assessing the learners' production in MOOC. This approach combines the peer assessment with the collaborative learning and the calibrated method. It aims at increasing the degree of trust in peer-assessment. For evaluating the proposed approach, the authors implemented a MOOC dedicated for learning algorithms. In addition, an experiment was conducted during two months for knowing the effects of the proposed approach. The obtained results are presented in this paper. They are judged as very interesting and encouraging.
Descriptors: Large Group Instruction, Online Courses, Peer Evaluation, Cooperation, Educational Technology, Technology Uses in Education, Integrated Learning Systems, Distance Education, Students, Models, Student Characteristics, Grouping (Instructional Purposes), Foreign Countries, College Students, Hypothesis Testing
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Algeria
Grant or Contract Numbers: N/A