NotesFAQContact Us
Search Tips
Back to results
Peer reviewed Peer reviewed
PDF on ERIC Download full text
ERIC Number: EJ1039698
Record Type: Journal
Publication Date: 2014-Jun
Pages: 12
Abstractor: As Provided
ISSN: EISSN-2013-9144
Massive Open Online Courses (MOOCS): Emerging Trends in Assessment and Accreditation
Chauhan, Amit
Digital Education Review, v25 p7-19 Jun 2014
In 2014, Massive Open Online Courses (MOOCs) are expected to witness a phenomenal growth in student registration compared to the previous years (Lee, Stewart, & Claugar-Pop, 2014). As MOOCs continue to grow in number, there has been an increasing focus on assessment and evaluation. Because of the huge enrollments in a MOOC, it is impossible for the instructor to grade homework and evaluate each student. The enormous data generated by learners in a MOOC can be used for developing and refining automated assessment techniques. As a result, "Smart Systems" are being designed to track and predict learner behavior while completing MOOC assessments. These automated assessments for MOOCs can automatically score and provide feedback to students multiple choice questions, mathematical problems and essays. Automated assessments help teachers with grading and also support students in the learning processes. These assessments are prompt, consistent, and support objectivity in assessment and evaluation (Ala-Mutka, 2005). This paper reviews the emerging trends in MOOC assessments and their application in supporting student learning and achievement. The paper concludes by describing how assessment techniques in MOOCs can help to maximize learning outcomes.
Universitat de Barcelona. Passeig de la Vall d'Hebron 171, Edifici Llevant P3, Barcelona, 08035 Spain. e-mail:; Web site:
Publication Type: Journal Articles; Reports - Evaluative
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A