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Remote Development and Distance Delivery of Innovative Courses: Challenges and Opportunities.

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Title: Remote Development and Distance Delivery of Innovative Courses: Challenges and Opportunities.
Authors: Marasović, Kristina1 kristina.marasovic@croatia.rit.edu, Lutz, Michael2 mjlvse@rit.edu
Source: ICSE: International Conference on Software Engineering. 2015, p299-302. 4p.
Subjects: Distance education research, Rochester Institute of Technology (Rochester, N.Y.), Online education, Computer software development
Abstract: The Rochester Institute of Technology (RIT) offers programs of study at several of RIT's international campuses: Dubrovnik and Zagreb (Croatia), Dubai (United Arab Emirates) and Priština (Kosovo). At RIT Croatia, some courses are delivered as distance education courses using Polycom, a video conferencing system, supported by other online education tools. Although distance learning methods and tools provide an effective way to offer instructions remotely, delivering a course that emphasizes team-based software development, with laboratory exercises and in-class team activities, creates new challenges that need to be addressed. This paper discusses the authors' experiences with the remote development and delivery of one of those courses - the SWEN-383 Software Design Principles and Patterns course in the Information Technology program at RIT Croatia. The paper first explains the role and need for offering this particular course. It then discusses how the collaborative development of this new course was conducted between the U.S. and the Croatian campuses, including remote delivery from Zagreb to Dubrovnik. The paper concludes with observations and suggestions for those who may engage in such a project in the future. [ABSTRACT FROM AUTHOR]
Copyright of ICSE: International Conference on Software Engineering is the property of Association for Computing Machinery and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Remote Development and Distance Delivery of Innovative Courses: Challenges and Opportunities.
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  Data: The Rochester Institute of Technology (RIT) offers programs of study at several of RIT's international campuses: Dubrovnik and Zagreb (Croatia), Dubai (United Arab Emirates) and Priština (Kosovo). At RIT Croatia, some courses are delivered as distance education courses using Polycom, a video conferencing system, supported by other online education tools. Although distance learning methods and tools provide an effective way to offer instructions remotely, delivering a course that emphasizes team-based software development, with laboratory exercises and in-class team activities, creates new challenges that need to be addressed. This paper discusses the authors' experiences with the remote development and delivery of one of those courses - the SWEN-383 Software Design Principles and Patterns course in the Information Technology program at RIT Croatia. The paper first explains the role and need for offering this particular course. It then discusses how the collaborative development of this new course was conducted between the U.S. and the Croatian campuses, including remote delivery from Zagreb to Dubrovnik. The paper concludes with observations and suggestions for those who may engage in such a project in the future. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of ICSE: International Conference on Software Engineering is the property of Association for Computing Machinery and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1109/ICSE.2015.159
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        Text: English
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      – SubjectFull: Rochester Institute of Technology (Rochester, N.Y.)
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      – SubjectFull: Online education
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              Text: 2015
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