appendix i identification of the course for...

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217 APPENDIX I IDENTIFICATION OF THE COURSE FOR MASTER OF COMPUTER APPLICATIONS FOR DEVELOPING WEB BASED LEARNING MATERIALS (WBLMs) (Data collected is for research purpose and will be kept confidential) PART - A Personal Profile 1. Name : Sex : Age : Name & Address of the Institution where Employed : 2. Highest Academic Qualification : Tick in the appropriate box & write your Area of Specialisation against each. Area of Specialisation Ph.D. M.Phil M.E M.C.A Any other (please specify)

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217

APPENDIX I

IDENTIFICATION OF THE COURSE FOR MASTER OF

COMPUTER APPLICATIONS FOR DEVELOPING WEB

BASED LEARNING MATERIALS (WBLMs)

(Data collected is for research purpose and will be kept confidential)

PART - A

Personal Profile

1. Name :

Sex :

Age :

Name & Address of the

Institution where Employed :

2. Highest Academic Qualification :

Tick in the appropriate box & write your Area of Specialisation against each.

Area of Specialisation

Ph.D.

M.Phil

M.E

M.C.A

Any other (please specify)

218

3. Teaching experience

Type of Institution No. of years

Engineering college

Arts & Science College

Any other (please

specify)

Total

PART - B

Some courses in the curriculum of Master of Computer Applications

are listed below. State whether the students are required to learn the concepts

in these courses for further learning.

Course Name of the Courses Response

Yes No

A Design and Analysis of Algorithms

B Data Structures

C System Software

D Database Management System

E Computer Graphics

From among the list of courses above indicate the suitability to deliver

on a Web Based Learning Environment. Assign the rank of 1 to the one

which is more suitable and rank 5 for least suitable course to be delivered

on Web.

219

Courses Rank Order A

B

C

DE

(Note for the data collector: Part-C of the Questionnaire has to be administered after

collecting the response for part A & Part B from the respondents)

RANK ORDER

A. Design and Analysis of Algorithms

S.No. Basic Concepts / Principles Rank Order

1.

Brute Force (Selection sort, Bubble sort, Sequential search & String matching, Closest-pair & Convex-Hull Problem, Exhaustive search)

2.Divide and Conquer (Merge sort, Quick sort, Binary search)

3.

Dynamic Programming (Binomial coefficient, Warshall’s & Floyd’s algorithm, Optimal binary search tree, Knapsack problem)

4.Greedy Technique (Prim’s Algorithm, Kruskal’s Algorithm, Huff trees)

5.Backtracking (N-Queens problem, Hamiltonian circuit problem, Sub-set sum problem)

6.Branch and Bound (Assignment problem, Knapsack problem, Travelling salesman problem)

High

Low

Difficulty Level

220

B. Data Structures

S.No. Basic Concepts / Principles Rank Order

1. Stack and Queue (Representation, List)

2.Binary Tree (Operations, Node representation, Implicit array representation, Huffman algorithm)

3.Sorting and Searching ( Exchange sorts, Insertion sorts, Merge & Radix sort, tree searching, Hashing)

4.Graph (Representation, Transitive closure, Warshall’s algorithm, Shortest path algorithm)

5.Flow problem, Dijkstra’s algorithm, Graph traversals

6.Storage Management (Linked list representation)

C. System Software

S.No. Basic Concepts / Principles Rank Order

1. Machine Structure

2.Assembler (Machine dependent and machine independent assembler features)

3.Loader (Machine dependent and machine independent assembler features)

4.Linker (Design, implementation and MS-Dos linker)

5.Macroprocessor (Design options, implementation)

6.Compliers (Design phases, system software tools, text editor, interactive debugging system)

Hig

h

Low

Difficulty Level

High

Low

Difficulty Level

221

D. Database Management System (DBMS)

S.No. Basic Concepts / Principles RankOrder

1. Embedded SQL 2. Concurrent Execution

3.

Concurrency Control (Lock-Based Protocol, Granting of locks, Two phase locking protocol, implementation of locking, Graph based protocols)

4. Query by example

5.Relational Database Design (1NF, 2NF, 3NF, 4NF, Boyce-codd Normal form)

6.Evaluation of Expression (Materialization, Pipelining)

E. Computer Graphics

S.No. Basic Concepts / Principles RankOrder

1. Bresenham’s Algorithms ( Line, Circle, Ellipse)

2. Cohen Sutherland Clipping Algorithm 3. Line and Text Clipping Algorithms

4. 2 Dimensional ( Translation, Scaling and Rotation Algorithms)

5. 3 Dimensional ( Translation, Scaling and Rotation Algorithms)

6. Color Models

High

Low

Difficulty Level

High

Low

Difficulty Level

222

IDENTIFICATION OF THE COURSE FOR MASTER OF

COMPUTER APPLICATIONS FOR DEVELOPING WEB BASED

LEARNING MATERIALS (WBLMs)

(Data collected is for research purpose and will be kept confidential)

PART - A

Demographic Profile

1. Name :

Sex :

Age :

Name & Address of the

Institution where Studying :

2. Year / Semester of Study :

3. Specialization in Undergraduate

Programme :

223

PART – B

IDENTIFICATION OF COURSES

Some courses in the curriculum of Master of Computer

Applications are listed below. Indicate the suitability of the courses to be

delivered on a Web Based Learning Environment. Assign the rank of 1 to

the one which is more suitable and rank 5 for the least suitable course to

be delivered on Web.

Course Name of the Courses RankOrder

A Design and Analysis of Algorithms B Data Structures

C System Software

D Database Management System E Computer Graphics

F Any Other Course (Please Specify):_____________(Note for the data collector: Part-C of the Questionnaire has to be

administered after collecting the response for part A & Part B from the

respondents)

224

PART C

IDENTIFICATION OF CONCEPTS IN THE

COURSES RANK ORDER

A. Design and Analysis of Algorithms

S.No. Basic Concepts / Principles Rank Order

1.

Brute Force (Selection sort, Bubble sort, Sequential search & String matching, Closest-pair & Convex-Hull Problem, Exhaustive search)

2.Divide and Conquer (Merge sort, Quick sort, Binary search)

3.

Dynamic Programming (Binomial coefficient, Warshall’s & Floyd’s algorithm, Optimal binary search tree, Knapsack problem)

4.Greedy Technique (Prim’s Algorithm, Kruskal’s Algorithm, Huff trees)

5.Backtracking (N-Queens problem, Hamiltonian circuit problem, Sub-set sum problem)

6.Branch and Bound (Assignment problem, Knapsack problem, Travelling salesman problem)

High

Low

Difficulty Level

225

B. Data Structures

S.No. Basic Concepts / Principles Rank Order

1. Stack and Queue (Representation, List)

2.Binary Tree (Operations, Node representation, Implicit array representation, Huffman algorithm)

3.Sorting and Searching (Exchange sorts, Insertion sorts, Merge & Radix sort, tree searching, Hashing)

4.Graph (Representation, Transitive closure, Warshall’s algorithm, Shortest path algorithm)

5.Flow problem, Dijkstra’s algorithm, Graph traversals

6.Storage Management (Linked list representation)

C. System Software

S.No. Basic Concepts / Principles Rank Order

1. Machine Structure

2.Assembler (Machine dependent and machine independent assembler features)

3.Loader (Machine dependent and machine independent assembler features)

4.Linker (Design, implementation and MS-Dos linker)

5.Macroprocessor (Design options, implementation)

6.Compliers (Design phases, system software tools, text editor, interactive debugging system)

High

Low

Difficulty Level

High

Low

Difficulty Level

226

D. Database Management System (DBMS)

S.No. Basic Concepts / Principles RankOrder

1. Embedded SQL 2. Concurrent Execution

3.

Concurrency Control (Lock-Based Protocol, Granting of locks, Two phase locking protocol, implementation of locking, Graph based protocols)

4. Query by example

5.Relational Database Design (1NF, 2NF, 3NF, 4NF, Boyce-codd Normal form)

6.Evaluation of Expression (Materialization, Pipelining)

E. Computer Graphics

S.No. Basic Concepts / Principles RankOrder

1.Bresenham’s Algorithms (Line, Circle, Ellipse)

2. Cohen Sutherland Clipping Algorithm

3. Line and Text Clipping Algorithms

4.2 Dimensional (Translation, Scaling and Rotation Algorithms)

5.3 Dimensional (Translation, Scaling and Rotation Algorithms)

6. Color Models

High

Low

Difficulty Level

High

Low

Difficulty Level

227

APPENDIX II

QUESTIONNAIRE FOR IDENTIFYING ISSUES

OF e-LEARNING

1. What is e-Learning? (From your own point of view, in 3 to 4 lines).

It is NOT WHY do you want to learn through e-Mode but HOW do

you learn through e-Mode).

Note: Please put a tick mark as per your choice, in any one of the

appropriate boxes.

S.No. Question 1 2 31 To what extent have you surfed

through e-Contents of similar subjects?

Many Times (> 5 times)

Few Times (3–5 times)

Not much (<3 times)

2 What is your desirable Time-Duration (TD) for comfortable learning from e-Content module at one spell of instance?

TD > 15 Minutes.

TD: 3-15 Minutes.

TD < 3 Minutes.

3 How much volume of Animated Graphics (AG), do you think is necessary for effective e-Learning?

AG > 50% AG:10% - 50%

AG < 10%

4 To what extent e-content of one subject need to be represented?

In Smaller episodes of Concepts

In separate Units of Subject

Entire subject in one lot

5 To what extent e-content of each segment of a subject need to be represented?

Must be represented in

small Independent

Segments

Can be represented in

Grouped Segments

Need not be split into independent

segments

6 Do you think small independent segments need to be sequenced

Yes, Very much

May be Need not be

228

S.No. Question 1 2 3logically?

7 Do you think interactive questions are needed?

Very much needed

To some extent needed

Not much needed

8 To what extent do you prefer basic concepts stressed?

Must be highly concept oriented

No specific choice

Must be informative and need not stress

on concepts 9 Do you agree - presentations

should indulge in longer mental retention

Yes, I agree To some extent I don’t think so

10 To what extent Real World Problems need to be included?

Very high extent

To some extent Not much

11 To what extent Numerical exercises need to be included?

Very much To some degree

Not much

12 To what extent Critical/Analytical ability tests need to be included?

Very high extent

To some extent Not much

13 Do you feel instructional process of your chosen subject content of NPTEL is very clear?

Very clear To some extent Not very clear

14 To what extent do you think Large figures with specifications would be appealing?

With many figures

With fairly enough figures

Figures should be minimal

15 Do you prefer User friendly menus for each specific navigation component?

Highly preferred for

each navigation

When moderately

present

Only for essentially required

navigation 16 To what extent video

presentations need to be incorporated?

In large proportion

To moderate levels

Videos should be minimized

17 To what extent concept/topic need to be introduced for every episode?

Detailed Introduction

needed

Brief Introduction is

enough

Only the main title need to be

Introduced 18 Do you want to be informed on

pre-requisite topics for each topic? Must for every

topic Indication only for main topics

No need

You are: You are from:

229

APPENDIX III

POST-TEST

(VALIDATION OF INSTRUCTIONAL APPROACH)

AIM

1. To validate the proposed Instructional Approach.

2. To assess the effectiveness of e-contents for ‘Computer

Graphics’.

3. To assess the effectiveness of three components viz.,

“Reusable Objects”, “Cognitive Structures” and “Motivation

through Real World Task” of the Approach.

Questions

7. Instruction through modular approach of e-content delivery on

‘Computer Graphics’ is more effective than Non-modular

approach?

8. Concept that has “Real World Situation” has motivated me to learn

that topic further.

9. Indication of pre-requisite topics has linked me well with Topic of

interest.

10. Demonstration through appropriate media is appealing.

11. Integrating with critical thinking question has created eagerness to

learn more.

12. Instruction on Concept through small modular approach is

effective.

230

Your Feedback (Put a Mark)

Question No. Agree Neutral Do not

Agree

1

2

3

4

5

6

231

APPENDIX IV

SAMPLE CONTENT OF NPTEL

232

233

234

235