论文信息 - Assessing the Need of Augmenting Video Lectures with Supporting Information

Assessing the Need of Augmenting Video Lectures with Supporting Information

Massively Online Open Courses (MOOCs) consist of online video lectures delivered by experts. Learner drop-out is a major concern for MOOCs. Early drop-outs are often associated with cognitive overload partially caused by unfamiliarity of concepts being taught. In such cases, the course can be augmented with supporting information such as definition and explanation for concepts. In this paper, we propose a metric quantifying the need for augmentation of individual concepts as a course progresses. We examine the metric using a MOOC course. We also present a preliminary experiment with 36 undergraduate students on using such augmentation.

[1] Nitish Srivastava,et al. Enriching textbooks through data mining , 2010, ACM DEV '10.

[2] Keith Tyler-Smith. Early Attrition among First Time eLearners: A Review of Factors that Contribute to Drop-out, Withdrawal and Non-completion Rates of Adult Learners undertaking eLearning Programmes , 2006 .

[3] Sreenivas Gollapudi,et al. Empowering authors to diagnose comprehension burden in textbooks , 2012, KDD.

[4] Ian H. Witten,et al. An open-source toolkit for mining Wikipedia , 2013, Artif. Intell..

[5] Gerard Salton,et al. On the Specification of Term Values in Automatic Indexing , 1973 .

[6] Panagiotis Adamopoulos,et al. What makes a great MOOC? An interdisciplinary analysis of student retention in online courses , 2013, ICIS.

[7] David E. Pritchard,et al. Studying Learning in the Worldwide Classroom Research into edX's First MOOC. , 2013 .

[8] Timothy Leary. Turn On, Tune In, Drop Out , 1966 .

[9] Lucila Ohno-Machado,et al. Natural language processing: an introduction , 2011, J. Am. Medical Informatics Assoc..

[10] Douglas H. Fisher,et al. Wrapping a MOOC: Student Perceptions of an Experiment in Blended Learning , 2013 .

[11] Ian H. Witten,et al. Learning to link with wikipedia , 2008, CIKM '08.