Enhancing the Teaching and Learning Process Using Video Streaming Servers and Forecasting Techniques

Abstract

Higher educational institutes (HEI) are adopting ubiquitous and smart equipment such as mobile devices or digital gadgets to deliver educational content in a more effective manner than the traditional approaches. In present works, a lot of smart classroom approaches have been developed, however, the student learning experience is not yet fully explored. Moreover, module historical data over time is not considered which could provide insight into the possible outcomes in the future, leading new improvements and working as an early detection method for the future results within the module. This paper proposes a framework by taking into account module historical data in order to predict module performance, particularly the module result before the commencement of classes with the goal of improving module pass percentage. Furthermore, a video streaming server along with blended learning are sequentially integrated with the designed framework to ensure correctness of teaching and learning pedagogy. Simulation results demonstrate that by considering module historical data using time series forecasting helps in improving module performance in terms of module delivery and result outcome in terms of pass percentage. Furthermore, the proposed framework provides a mechanism for faculties to adjust their teaching style according to student performance level to minimize the student failure rate.

Smartphone Use and Academic Performance of University Students: A Mediation and Moderation Analysis

“…The results of the undertaken study demonstrate the smartphone affirmative influence on student academic performance in universities; the previous literature also exhibited similar outcomes [25][26][27][28][29]. Outcomes also demonstrating that the multimedia media messaging (MMS) has an affirmative influence on student academic performance in universities, this also confirms the results of research studies that were carried out by Hasan et al [15], Dzamesi et al [16], Lepp et al [29], Rosen et al [31], and Junco [34]. Outcomes of the undertaken study further exhibit that smartphones' applications also exerted an affirmative influence on student academic performance in university students.…”

Predicting Student Performance in Higher Educational Institutions Using Video Learning Analytics and Data Mining Techniques

“…At Middle East College (MEC), different systems are in place to store student information. The student information system (SIS) stores the related academic data; the learning management system (LMS)-i.e., Moodle-is used as an e-learning tool to disseminate knowledge at the same time as online behavior is stored in the logs for each student; and the video streaming server (VSS) is used alongside Moodle to share video lectures to the students [7]. As mobile culture is on the rise, an in-house built mobile application-eDify-has been developed to share video lectures to students since spring 2019, enhancing the teaching and learning process.…”

eDify: Enhancing Teaching and Learning Process by Using Video Streaming Server

“…Hasan et al [12] used a virtual application that helps dental students to learn the procedures. Hasan et al [8] implemented a streaming server that helps support the flip teaching in computer courses.…”

“…The prototype model was used to develop a mobile learning system, "eDify," used at the college. Where Video Streaming Server (VSS) was already implemented in Spring 2015 as an in-house capability to support flipped teaching pedagogy [6][7] [8]. The primary reason for this application's motivation is to use the existing framework for the VSS and provide the facility to the students to use their mobile phones for their learning.…”