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143
Some Scaling Laws for MOOC Assessments
"... One problem that arises with the increasing numbers of stu-dents in Massive Open Online Courses (MOOCs) is that of student evaluation. The large number of students makes it infeasible for the instructors or the teaching assistants to grade all assignments, while the present auto-grading tech-nology ..."
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and has come under serious criticism. In this paper, we take a statistical approach towards un-derstanding the feasibility of peer-grading for MOOCs. Un-der simple (yet general) models, we show that peer-grading as a standalone will not scale, i.e., as the number of stu-dents increases, the expected
Automated Student Model Improvement
- In Proceedings of the 5th International Conference on Educational Data Mining
, 2012
"... Student modeling plays a critical role in developing and improving instruction and instructional technologies. We present a technique for automated improvement of student models that leverages the DataShop repository, crowd sourcing, and a version of the Learning Factors Analysis algorithm. We demon ..."
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Cited by 14 (6 self)
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Student modeling plays a critical role in developing and improving instruction and instructional technologies. We present a technique for automated improvement of student models that leverages the DataShop repository, crowd sourcing, and a version of the Learning Factors Analysis algorithm. We
Towards the Automated Verification of Multithreaded Java Programs
, 2002
"... In this paper we investigate in the possible application of parameterized veri cation techniques (see [1, 12, 13, 16, 15, 25]) to synchronization skeletons of multithreaded Java programs. As first conceptual contribution, we identify a class of infinite-state abstract models that preserve the main f ..."
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Cited by 34 (9 self)
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In this paper we investigate in the possible application of parameterized veri cation techniques (see [1, 12, 13, 16, 15, 25]) to synchronization skeletons of multithreaded Java programs. As first conceptual contribution, we identify a class of infinite-state abstract models that preserve the main
MyLearningMentor: A Mobile App to Support Learners Participating in MOOCs
"... Abstract: MOOCs have brought a revolution to education. However, their impact is mainly benefiting people with Higher Education degrees. The lack of support and personalized advice in MOOCs is causing that many of the learners that have not developed work habits and selflearning skills give them up ..."
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the available hours for the next week as part of the Preferences), or when new tasks and/or deadlines are set in the MOOC. The fourth requirement (REQ4) is that MLM must enable learners to publish and curate information about the MOOCs and their tasks (following a social, or crowdsourced, model) so
Learning about social learning in MOOCs: From statistical analysis to generative model
, 2013
"... We study user behavior in the courses offered by a major Massive Online Open Course (MOOC) provider during the summer of 2013. Since social learning is a key element of scalable education in MOOCs and is done via online discussion forums, our main focus is in understanding forum activities. Two sali ..."
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Cited by 10 (0 self)
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at rates that are infeasible for students or teaching staff to read through. Furthermore, a substantial portion of the discussions are not directly course-related. We investigate factors that correlate with the decline
Research Article Study Partners Recommendation for xMOOCs Learners
"... which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Massive open online courses (MOOCs) provide an opportunity for people to access free courses offered by top universities in the world and therefore attracted great attention an ..."
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investigated the learners ’ behavior features to classify the learners into three groups. Then we proposed a topic model to measure learners ’ course knowledge awareness. Finally, a social network was constructed based on their activities in the course forum, and the relationship in the network
The MOOC Hype: Can We Ignore It? Reflections on the Current Use of Massive Open Online Courses in Software Modeling Education
"... Abstract. At the end of the 2014 MODELS Educators Symposium, a panel discussed the topic of the use of MOOCs (Massive Open Online Courses) in model-driven engineering education with the audience. Currently, there are no MOOCs that target software modeling. The panel argued if it would be worthwhile ..."
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Abstract. At the end of the 2014 MODELS Educators Symposium, a panel discussed the topic of the use of MOOCs (Massive Open Online Courses) in model-driven engineering education with the audience. Currently, there are no MOOCs that target software modeling. The panel argued if it would
Towards Feasible Instructor Intervention in MOOC Discussion Forums Indicate Submission Type: Research-in-Progress
"... Massive Open Online Courses allow numerous people from around the world to have access to knowledge that they otherwise have not. However, high student-to-instructor ratio in MOOCs restricts instructors ’ ability to facilitate student learning by intervening in discussions forums, as they do in face ..."
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identify interventions that promote student learning. Such machine learning models may allow building of dashboards to automatically prompt instructors on when and how to intervene in discussion forums. In the longer term, it may be possible to automate these interventions relieving instructors
A Preliminary Evaluation of the Determinants of Certification Success in MOOCs: A Multi-level Study Full paper
"... In this paper, we investigate the determinants of certification success in massive open online courses (MOOCs) using multi-level modeling. Our model includes individual student level characteristics as well as country-level infrastructure, economy and culture-related variables. In our complete model ..."
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In this paper, we investigate the determinants of certification success in massive open online courses (MOOCs) using multi-level modeling. Our model includes individual student level characteristics as well as country-level infrastructure, economy and culture-related variables. In our complete
Linguistic reflections of student engagement in massive open online courses
- In International AAAI Conference on Weblogs and Social
, 2014
"... While data from Massive Open Online Courses (MOOCs) of-fers the potential to gain new insights into the ways in which online communities can contribute to student learning, much of the richness of the data trace is still yet to be mined. In particular, very little work has attempted fine-grained con ..."
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Cited by 9 (3 self)
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-grained con-tent analyses of the student interactions in MOOCs. Survey research indicates the importance of student goals and in-tentions in keeping them involved in a MOOC over time. Automated fine-grained content analyses offer the potential to detect and monitor evidence of student engagement and how
Results 1 - 10
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143
