Online Learning enables to deliver both learning and
information dynamically. It allows to tap the knowledge of experts and
non-experts and catapult those messages beyond classroom walls and into the
workplace but it is more difficult to assess a learner’s motivation. In a
traditional classroom, teachers know how to motivate their students and how to
exploit this knowledge to adapt or optimize their instruction when a student
shows signs of De-motivation. While in on-line learning, it is difficult to find
whether the student is engaged or disengaged in their learning process, thus measuring
disengagement in online learning is likely to help poor performance students.
Hence we propose a new framework called Quasi Framework, which is trying to
measure the significant relationship between disengagement level and their
academic achievement.
Quasi Framework is an ongoing research on e-learning
technology, The base idea of this research is "To find out the disengaged
learners in online learning
automatically without interrupting their learning activities. To improve the
efficiency of Quasi Framework, we divided it into several Platforms such as
1) Quasi Learning
2) Quasi Collaborate
3) Quasi Analysis
4) Quasi Assessment.
Quasi Learning.
Quasi Learning offers a free online course to students, and
it helps the educators to find out the disengaged students in an effective
manner.
Advantages of Quasi Learning
--> Improved open access to courses they registered.
--> Improved interactions between students and
instructors.
--> Provision of tools to enable students to
independently solve problems.
--> Special Interest has been provided to the slow
learners and Rural based Students.
--> Direct and immediate feedback from teachers.
Quasi Collaborate
Quasi Collaborate offers the platform for educators to add
their own e-learning courses.
Quasi Analysis
Quasi Analysis is a platform which finds out the
disengagement students based on their learning abilities and their assessment
process.
Quasi Assessment
Quasi Assessment is a platform used to determine the
knowledge gained by students and to determine if adjustments need to be made to
either the teaching or learning process.
Advantages of Quasi Assessment.
* Instant feedback to students.
* Greater flexibility with respect to location and timing.
* Improved reliability (machine marking is much more
reliable than human marking).
* Improved impartiality (machine marking does not 'know' the
students so does not favour nor make allowances for minor errors).
* Greater storage efficiency - tens of thousands of answer
scripts can be stored on a server compared to the physical space required for
paper scripts.
* Enhanced question styles which incorporate interactivity
and multimedia.
