Agricultural Research Management Information System

Home
Research Summary
Search
About Us
- ARMIS
- Brochure
Contact Us
Report
User Request
Data Input
Help
- Operation Manual
  - PDF
  - Video
- Program Area & Commodity
We have reached 37600 number of research entries at this moment.

- Logout

Research Detail

Home
Research
Detail

Automatic Equal Distrubution and Evaluation of Computer Programs Among Several Groups of Learners with Multiple Instructors- Work in Progress

G. M. M. Bashir
Associate Professor
Dept. of CCE, Patuakhali Science and Technology University, Bangladesh

Abstract/ Executive Summary:

To evaluate the learning process by automatic system for examination need to question equal distribution system and automatic marking system. Question equal distribution generally based on complexity value to distribute among the students by an instructor directions. In this paper, questions are classified into three types simple, medium and complex. Through the blended learning approach the distance learning is one of the main factors that are why students can appear in the examination from distance places. Marking system of examination follows the structured rule. But to evaluate the unstructured answer script is the vital and complex. Sometime marking of an answer script violate the instructors sentiment. According to sentiment variations that is impact on the marking of an answer script. To eliminate this problem, equal distribution of problems and evaluation system is generated automatically. We demonstrate a flow chart and a website for java programming for evaluation of computer problems. Our proposed idea ensures students are aware of the expected nature and standards of assessable work and students can readily locate and access all resources when needed as well as readily submit material to peers or teaching team.

Keywords: Blended learning, Equal distribution, Face-to-face interaction, Partial marking, Virtual Examination.

Location:

Start Date:

End Date:

Program Area: Knowledge Management

Non-commodity: Database Management

Objectives:

Methodology:

We have used two techniques for solving the complexity of question distribution and partial marking. Question distribution is made on the basis of three types of questions (Simple, Medium and Hard) according to randomness for first distribution of question. For this result same questions will not be set to the neighboring students. Hence, it is the evaluation of blended learning approach.

Question Distribution

Question Distribution (QD) = Id {Simple, Medium, Hard}…………………………… (1)

Simple_1 = length (simple question) % 2

Medium_1 = length (Medium question) % 3

Hard_1 = length (Hard question) % 4

QD1 = Id {Simple_1, Medium_1, Hard_1}……………………………………………. (2)

QD2 = Id {Simple_1 + 2, Medium_1 +3, Hard_1+4}………………………………..... (3)

QD2 = Id {Simple_2, Medium_2, Hard_2}

QD3 = Id {Simple_2 + 2, Medium_2 +3, Hard_2+4}………………………………… (4)

QD3 = Id {Simple_3, Medium_3, Hard_3}

This process will continue up to total provided questions.

[Note: If questions are large then the distribution percentage will increase]

Automated Marking System

Suppose a simple type of question of 20 marks.

If output is correct got 20 marks and If not correct then partial marking

Partial Marking (PM) = …………..…………… (5)

Actual result = count (No. of characters that matched with string of target output)

Target result = String length ()

Source of Information: J. Patuakhali Sci. and Tech. Univ. 2014, 5(1):19-26

Article Link (Online Journal):

Funding Source:

Total Budget (Tk.) :

Achievement/Findings:

Technology enhances learning capabilities of learners by our proposed work. Blended learning approach helps to understand programming problems at easier fashion. Increase the knowledge of education through social interaction. We took only 100 students as our sample and our efficiency of blended learning approach is 78%. Our approach can be easily configured to any institutions because it can be applied with existing infrastructure of university class room. Because most of the universities already have multimedia projectors, internet, internal server, e-library and sound system based class room. This learning approach can be evaluated by the automated exam controlling system. As a result a student able to appear in the exam from distance places in the world.Our aim is to work with more students from many other universities of Bangladesh and we will try to get the more accurate output. Again we will try to find the best decision so that we can increase the performance of our classes. In future we want to develop the all type of unstructured answer of the question converts to structure for automated examine answer script and partial marking.

Knowledge Management: Journal