Abstract
A breakthrough in the development of online learning occurred with the utilization of Learning Management Systems (LMS) as a tool for creating, distributing, tracking, and managing various types of educational and training material. Since the appearance of the first LMS, major technological enhancements transformed this tool into a powerful application for managing curriculum, providing rich-content courseware, assessment and evaluation, and dynamic collaboration. With several current research fields targeting various technologies related to the LMS, the future promises many changes in its structure, operations, and implementation. The most important technology that is expected to transform many future aspects is the Internet of Things (IoT). In this paper, we provide a framework for a future LMS enhanced by IoT capabilities. We outline several elements of the LMS that will be affected by IoT, and the expected enhancements and changes that IoT will bring to the LMS functionalities. The framework presented for the IoT-enhanced LMS constitutes the main component of a three year research project that is being conducted at the Arts, Sciences, and Technology University (AUL). In this paper, we illustrate the main parts of this project and the implementation plan of each part, including the prospected outcomes and benefits.
Highlights
Learning Management Systems (LMS) are an evolving technology in today’s society, which provides course creation, delivery, management, tracking, reporting, and assessment of online learning materials
The framework presented for the Internet of Things (IoT)-enhanced LMS constitutes the main component of a three year research project that is being conducted at the Arts, Sciences, and Technology University (AUL)
According to (Cata, 2015), many applications within the smart university will benefit from IoT services, such as: (1) Smart Parking that enables the monitoring of vacant parking avoiding jams or accidents; (2) Smart Lighting that automatically reduces the classroom light based on the external natural light data gathered from a sensor reducing electricity consumption; (3) Smart Tracking that monitors goods and equipment inside a university by the use of radio-frequency identification (RFID) technology to evaluate any emergency case; (4) Smart Inventory that identifies any equipment associated with a barcode by reading its Quick Response (QR) tag with a barcode reader
Summary
Khaleel Mershad1 & Pilar Wakim Faculty of Engineering, Arts, Sciences and Technology University, Beirut, Lebanon Correspondence: Khaleel Mershad, Department of Computer and Communications Engineering, Faculty of Engineering, Arts, Sciences & Technology University (AUL), Beirut, Lebanon.
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