Graduate Thesis Or Dissertation

 

Enhancing Instructors’ Teaching Experience through Virtualization Public Deposited

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https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/xw42nc29x

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  • In the current education environment, many instructors make use of some type of software, such as Visual Studio or a software library like OpenGL, in the classroom. Incorrect setup and configuration on an individual’s own system is a common problem when using these software tools. This thesis explores the difficulty that these setup and configuration problems create for the student learning experience as well as the instructor teaching experience. We interviewed ten instructors and four students as part of a qualitative study to gather data about the severity of this problem in preventing student learning and effective delivery of material. The participants were chosen from Computer Science, Mechanical Engineering, Statistics, and Robotics classes. The main criterion for the class selection was whether that class’ usage of software came with the potential of running into configuration issues. The study shows that almost all classes did suffer from configuration issues in software tools; these issues distracted the students from actual coursework, forcing them to expend their time and energy on resolving these issues instead. It was also found that instructors and students often resorted to a “use whatever works” or a “trial and error” strategy for dealing with the issues encountered, which did not guarantee the issues’ resolution. To help instructors and students resolve a substantial portion of these setup and configuration issues with software tools, we propose the design of a virtualized system which leverages an existing cloud tool OpenStack. This system modifies the services provided by OpenStack to enable easy access to preconfigured Virtual Machines which help to resolve these issues with setup and configuration. This thesis, along with presenting the result of the study, outlines this system framework. Furthermore, it discusses the system in the context of the data gathered and the types of problems that framework could effectively handle. The lessons learned from the study and from our system design can also help inform future solutions and systems.
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  • description.provenance : Approved for entry into archive by Laura Wilson(laura.wilson@oregonstate.edu) on 2016-09-06T23:09:00Z (GMT) No. of bitstreams: 2 license_rdf: 1536 bytes, checksum: df76b173e7954a20718100d078b240a8 (MD5) PatilAjinkya2016.pdf: 1304490 bytes, checksum: 7bd56ee060ca0041084634f378f8d680 (MD5)
  • description.provenance : Submitted by Ajinkya Patil (patila@oregonstate.edu) on 2016-08-25T04:44:41Z No. of bitstreams: 2 license_rdf: 1536 bytes, checksum: df76b173e7954a20718100d078b240a8 (MD5) PatilAjinkya2016.pdf: 1304490 bytes, checksum: 7bd56ee060ca0041084634f378f8d680 (MD5)
  • description.provenance : Approved for entry into archive by Julie Kurtz(julie.kurtz@oregonstate.edu) on 2016-08-30T16:13:04Z (GMT) No. of bitstreams: 2 license_rdf: 1536 bytes, checksum: df76b173e7954a20718100d078b240a8 (MD5) PatilAjinkya2016.pdf: 1304490 bytes, checksum: 7bd56ee060ca0041084634f378f8d680 (MD5)
  • description.provenance : Made available in DSpace on 2016-09-06T23:09:00Z (GMT). No. of bitstreams: 2 license_rdf: 1536 bytes, checksum: df76b173e7954a20718100d078b240a8 (MD5) PatilAjinkya2016.pdf: 1304490 bytes, checksum: 7bd56ee060ca0041084634f378f8d680 (MD5) Previous issue date: 2016-08-18

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