Kentucky State University
Exploring IoT's Higher Ed Impact Post-COVID: Enhancing Digital Learning and Cybersecurity
Grade Level at Time of Presentation
Senior
Major
Computer Science
Minor
None
Institution 23-24
Kentucky State University
KY House District #
28
KY Senate District #
37
Faculty Advisor/ Mentor
Richard Maiti, Ph.D.
Department
Computer Science
Abstract
Exploring key concepts of the Internet of Things (IoT), cybersecurity, and the digital learning ecosystem, the Covid-19 pandemic has driven innovation in education, leading to more online education, virtual classrooms, and remote collaboration tools. IoT is a network of interconnected devices embedded with sensors and software for data collection. Cybersecurity is portrayed as the safeguarding of systems from digital threats to ensure information security.
The digital learning ecosystem leverages technology and the internet to enhance education, offering flexibility and accessibility. The relevance of IoT to higher education is examined, emphasizing its potential in smart classrooms, personalized learning, and optimized resource allocation. For Historically Black Colleges and Universities (HBCUs), IoT is seen as a bridge to advanced learning opportunities and efficient campus management.
The impact of IoT on higher education is discussed, highlighting the creation of connected and smart environments to improve resource allocation and enhance accessibility. IoT contributes to the development of smart learning environments, optimizing resources and personalizing education for seamless learning experiences.
Exploring the accelerated adoption of digital learning due to the COVID-19 pandemic, leading to increased reliance on online education, virtual classrooms, and remote collaboration tools. The pandemic has spurred innovation in education, fostering the widespread adoption of technology for remote learning, collaboration, and digital transformation.
Consideration is given to the potential benefits of IoT devices in improving student learning, addressing concerns about data privacy, security risks, and implementation costs. The effectiveness of devices for knowledge transfer varies, with commonly used tools such as tablets, laptops, and smartphones playing significant roles in facilitating learning through various applications.
Student preferences for Learning Management Systems (LMS) are discussed, comparing popular choices such as Blackboard, Canvas, and Moodle. Preferences may depend on factors like user interface, functionality, and institutional practices.
Exploring IoT's Higher Ed Impact Post-COVID: Enhancing Digital Learning and Cybersecurity
Exploring key concepts of the Internet of Things (IoT), cybersecurity, and the digital learning ecosystem, the Covid-19 pandemic has driven innovation in education, leading to more online education, virtual classrooms, and remote collaboration tools. IoT is a network of interconnected devices embedded with sensors and software for data collection. Cybersecurity is portrayed as the safeguarding of systems from digital threats to ensure information security.
The digital learning ecosystem leverages technology and the internet to enhance education, offering flexibility and accessibility. The relevance of IoT to higher education is examined, emphasizing its potential in smart classrooms, personalized learning, and optimized resource allocation. For Historically Black Colleges and Universities (HBCUs), IoT is seen as a bridge to advanced learning opportunities and efficient campus management.
The impact of IoT on higher education is discussed, highlighting the creation of connected and smart environments to improve resource allocation and enhance accessibility. IoT contributes to the development of smart learning environments, optimizing resources and personalizing education for seamless learning experiences.
Exploring the accelerated adoption of digital learning due to the COVID-19 pandemic, leading to increased reliance on online education, virtual classrooms, and remote collaboration tools. The pandemic has spurred innovation in education, fostering the widespread adoption of technology for remote learning, collaboration, and digital transformation.
Consideration is given to the potential benefits of IoT devices in improving student learning, addressing concerns about data privacy, security risks, and implementation costs. The effectiveness of devices for knowledge transfer varies, with commonly used tools such as tablets, laptops, and smartphones playing significant roles in facilitating learning through various applications.
Student preferences for Learning Management Systems (LMS) are discussed, comparing popular choices such as Blackboard, Canvas, and Moodle. Preferences may depend on factors like user interface, functionality, and institutional practices.