International Journal of Advance Computational Engineering and Networking (IJACEN)
Follow Us On :
current issues
Volume-12,Issue-2  ( Feb, 2024 )
Past issues
  1. Volume-12,Issue-1  ( Jan, 2024 )
  2. Volume-11,Issue-12  ( Dec, 2023 )
  3. Volume-11,Issue-11  ( Nov, 2023 )
  4. Volume-11,Issue-10  ( Oct, 2023 )
  5. Volume-11,Issue-9  ( Sep, 2023 )
  6. Volume-11,Issue-8  ( Aug, 2023 )
  7. Volume-11,Issue-7  ( Jul, 2023 )
  8. Volume-11,Issue-6  ( Jun, 2023 )
  9. Volume-11,Issue-5  ( May, 2023 )
  10. Volume-11,Issue-4  ( Apr, 2023 )

Statistics report
May. 2024
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 134
Paper Published : 1558
No. of Authors : 4061
  Journal Paper

Paper Title :
MKM Formula To Calculate E-Learning

Author :Manish Kumar Majumdar, Shom Prasad Das, Srinivas Choudhury, Monica Bharadwaj

Article Citation :Manish Kumar Majumdar ,Shom Prasad Das ,Srinivas Choudhury ,Monica Bharadwaj , (2014 ) " MKM Formula To Calculate E-Learning " , International Journal of Advance Computational Engineering and Networking (IJACEN) , pp. 96-99, Volume-2,Issue-9

Abstract : The mostly growing and cheapest learning technique in today’s world is E-Learning. With the accelerating trend of technology and with the motto to “Education for All”, E-Learning is making its space in today’s world. No doubt it will be very vital tomorrow, but it can’t replace face-to-face teaching. Every human has his own understanding and logic developing capability after reading an article. So, E-Learning can’t provide cent percent understanding of the contents to everyone who goes through it. The question always remains in mind that “How much did I learn from the materials provided?” Taking few factors in to consideration like Total Pages (P), Total Figures (F), Total Lines (L), Time per page (T) and the last factor is Remembering Capacity (B) into consideration we can approximately find amount of data a reader can remember after the process of E-Learning. Here we are suggesting the mechanisms to enhance the remembering capacity and better designing of the E-Learning modules. It will be helpful for both the parties i.e. one who is designing the material and the other, who is reading that. Hence here we provide the formula so called “MKM” or Manish Kumar Majumdar’s formula to find how much a reader has understood after performing E-Learning.

Type : Research paper

Published : Volume-2,Issue-9


Copyright: © Institute of Research and Journals

| PDF |
Viewed - 52
| Published on 2014-09-01
IRAJ Other Journals
IJACEN updates
Paper Submission is open now for upcoming Issue.
The Conference World