Engaging with massive online courses

@article{Anderson2014EngagingWM,
  title={Engaging with massive online courses},
  author={Ashton Anderson and Daniel P. Huttenlocher and Jon M. Kleinberg and Jure Leskovec},
  journal={Proceedings of the 23rd international conference on World wide web},
  year={2014}
}
The Web has enabled one of the most visible recent developments in education---the deployment of massive open online courses. [] Key Result We find that making badges more salient produced increases in forum engagement.

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References

SHOWING 1-10 OF 12 REFERENCES

Deconstructing disengagement: analyzing learner subpopulations in massive open online courses

A simple, scalable, and informative classification method is presented that identifies a small number of longitudinal engagement trajectories in MOOCs and compares learners in each trajectory and course across demographics, forum participation, video access, and reports of overall experience.

Open Learning at a Distance: Lessons for Struggling MOOCs

Seeing MOOCs narrowly as a technology that expands access to in-classroom teaching can miss opportunities and help spur innovation in science education.

Studying Learning in the Worldwide Classroom Research into edX's First MOOC.

Abstract “Circuits and Electronics” (6.002x), which began in March 2012, was the first MOOC developed by edX, the consortium led by MIT and Harvard. Over 155,000 students initially registered for

Does the discussion help? The impact of a formally assessed online discussion on final student results

A case study based on an undergraduate engineering management unit employing a formally assessed online discussion area found that two variables were significantly related to a student's final unit mark—prior academic ability and the number of new postings made to the online discussion.

Instructional Complexity and the Science to Constrain It

Education involves many important issues, such as cultural questions of values, but this work focuses on instructional decision-making in the context of determined instructional goals and suggests ways to manage instructional complexity.

Factors that Influence Participation In Online Learning

Findings indicated that online learner participation and patterns of participation are influenced by the following factors: technology and interface characteristics, content area experience, student roles and instructional tasks, and information overload.

Improved Learning in a Large-Enrollment Physics Class

Increased student attendance, higher engagement, and more than twice the learning in the section taught using research-based instruction in an introductory undergraduate physics course is found.

Steering user behavior with badges

A formal model for reasoning about user behavior in the presence of badges is introduced and several robust design principles emerge from the framework that could potentially aid in the design of incentives for a broad range of sites.

Incentives, gamification, and game theory: an economic approach to badge design

A game-theoretic approach to badge design is taken, analyzing the incentives created by widely-used badge designs in a model where winning a badge is valued and effort is costly, and potential contributors to a site endogenously decide whether or not to participate, and how much total effort to put into their contributions to the site.

Characterizing and curating conversation threads: expansion, focus, volume, re-entry

This work develops and evaluates a range of approaches for two key sub-problems inherent in conversational curation: length prediction and the novel task of re-entry prediction, based on an analysis of the network structure and arrival pattern among the participants, as well as a novel dichotomy in the structure of long threads.