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IoT - Enhancing Data-driven Decision...

Ogallo, Godfrey G.

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IoT - Enhancing Data-driven Decision-making in Higher Education. Case Study of Ohio University.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	IoT - Enhancing Data-driven Decision-making in Higher Education. Case Study of Ohio University./
作者:	Ogallo, Godfrey G.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
面頁冊數:	179 p.
附註:	Source: Dissertation Abstracts International, Volume: 79-12(E), Section: A.
Contained By:	Dissertation Abstracts International79-12A(E).
標題:	Educational technology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10954386
ISBN:	9780438238497

IoT - Enhancing Data-driven Decision-making in Higher Education. Case Study of Ohio University.
Ogallo, Godfrey G.

IoT - Enhancing Data-driven Decision-making in Higher Education. Case Study of Ohio University. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 179 p.

Source: Dissertation Abstracts International, Volume: 79-12(E), Section: A.

Thesis (Ph.D.)--Ohio University, 2018.

The rapid advancement in information technology and the ubiquitous penetration of the Internet are heralding an experience in the world where every physical device is interconnect-able to other devices and the Internet. IoT forms the core of this new wave of ubiquitous technologies. This nascent technology is opening new and virtually inexhaustible sources of innovation in various sectors. As the education sector transitions to technologically augmented learning, IoT offers a great potential in the realm of higher education where some principles of IoT are already in use.

ISBN: 9780438238497Subjects--Topical Terms:

517670
Educational technology.

IoT - Enhancing Data-driven Decision-making in Higher Education. Case Study of Ohio University.
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500 $a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: A.
500 $a Adviser: Greg Kessler.
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520 $a The rapid advancement in information technology and the ubiquitous penetration of the Internet are heralding an experience in the world where every physical device is interconnect-able to other devices and the Internet. IoT forms the core of this new wave of ubiquitous technologies. This nascent technology is opening new and virtually inexhaustible sources of innovation in various sectors. As the education sector transitions to technologically augmented learning, IoT offers a great potential in the realm of higher education where some principles of IoT are already in use.
520 $a The purpose of this study was to explore how IoT can enhance data-driven decisionmaking (D3M) in the teaching and learning process in higher education. Six faculty, seven students, and four administrators participated in this study.
520 $a A qualitative case study was used to explore how IoT can be used to enhance D3M. Individual interviews and document analysis approach was used in data collection. Multiple techniques facilitated the data analysis. Provision coding was applied in the first cycle coding to organize the data into categories. Pattern coding was implemented in the second cycle coding to condense code summaries from first cycle coding into precise themes. Unified framework of construct validity was applied to enhance the credibility and dependability of the study.
520 $a Findings revealed that participants engaged with IoT to enhance the learning experience, improve collaboration on projects, augment student-centered teaching, support customized teaching, and learning, facilitate seamless learning, and parity for diverse learners. Participants had mixed concerns about the issue of individual privacy, data security and connectivity challenges. The constructs of UTAUT2 framework was used to explore the beliefs and perceptions that influence the adoption of IoT amongst the participants in higher education.
520 $a The conclusion drawn from this study elucidated that if correctly implemented, IoT can support the development of strategies that could be used to enhance the reaching and learning process.
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