An added challenge is how to facilitate annotations on a digital video in a collaborative distance learning environment.
The aim of this kind of distance learning environment is to facilitate the access to these plants for students and professionals in the area of control engineering.
As such, issues that could contribute to weak performance and that could be monitored and dealt with in an institution cannot be employed in a distance learning environment.
In this research, an auto-detection system has been designed, using image processing and recognition technique, for defining the facial expressions and behavior easily found when a learner is inattentive or in bad mentality under distance learning environment.
The paper presents the data components of an open and distance learning (ODL) system that access the information stored in a database and the file system, their underlying technology, their interaction with the network services, and features regarding the ways they address issues faced in an open vendor-independent distance learning environment and outlines the system's overall architecture.
The author attributed this result to technical difficulties, including problems with internet connection and computer problems requiring the assistance of engineers, which ultimately resulted in greater time expenditure by students in the distance learning environment.
It is agreed upon that if SRL skills are important to the success of learning in the traditional classroom, then these skills can be expected to play an even more important role for students participating in the distance learning environment (Barnard, Lan, To, Paton, & Lai, 2009; Kramarski & Michalsky, 2010).
Several scholars suggested that if SRL skills are important to the success of learning in the traditional classroom (Effat & Gillies, 2015; Kramarski & Michalsky, 2010), then these skills can be expected to play an even more important role for students participating in the distance learning (DL) environment (Barnard et al., 2009).
