1. FLIPPED CLASSROOM ACTIVITY CONSTRUCTOR – USING EXISTING CONTENT
Dr.Namrata Tripathi
Assistant Professor(on contract), MANIT(Bhopal)

2. About this constructor
This activity constructor document is aimed at assisting teachers in
designing Flipped Classroom Activity in their own course using existing content.
This guide will deal with Open Education Resources (OER’s) or those
licensed under Creative Commons.
The slides with white background are information sheets.
The slides with Pale-yellow background require you to provide inputs.
Replace the text written in BLUE with your input.
This will be followed by an example input.

3. Table of Contents SECTION SLIDE # 7 19 27 ABOUT YOU 4
OUT-OF-CLASS SEGMENT 7
IN-CLASS SEGMENT 19
EVALUATION 27
COMMUNITY BUILDING

4. About you
I Dr. Namrata Tripathi working as Assistant Professor in MANIT Bhopal. I had Born on 01 july 1981, I have 14 yrs teaching and teaching in different engineering colleges. I have done M.Sc(Math) & PhD(Math). My Ph.d topic Fixed Point theorem want to design a flipped classroom. One research is going on collaboration in USA.I am making one research Project

5. Objective of a research
1.Minimizing the number of iterations in an optimization process 2. Detect the fastest iteration process performed at different platforms (say, MATLAB)
3. With the help of convergent sequence, rate of convergence can be calculated 4. Applications in different areas such as engineering, Numerical Analysis, differential equation, optimization, and approximation theory.

6. Teaching learning Methodologies
In the class teacher must use the verbal communication which is informal telling and asking the application of concern topic in daily life.
Then after this board work must be started telling the necessary thing and then raise the question to the student then we can show the model ,video or presentation show in overhead projector related to this.
After completing the topic in the remaining time the recapitulation is carried out so that student get involved in the topic.

7. Extra Curricular Activities for the development of students
Student must make a project.
How these topics are used in the area of research.
Student must attend the conference and seminar and must give presentation .
There must be group discussion for each and every topic among the student in the guidance of teacher.

8. They must participate in international conference and their work.
If the teacher motivate the students in some specific areas, mentioning that govt.(DST) giving reward and in the form of fellowship foreign visit.
Young scientist award and also give the position of young scientist job in different areas of research in India and abroad.

9. 3nd YEAR PG STUDENTS IN mathematic
Dr Namrata  Tripathi
FIXED POINT
CLASSIFICATION /CLUSTERING
Maths
3nd YEAR PG STUDENTS IN mathematic
IDP-ET, IIT BOMBAY
EXAMPLE

10. About Out-of-class Segment
Definition of classification.
Definition of clustering.
There are some method of classification that introduced.
There are some method of clustering that introduced.
URL of video searched by me.
1 lecture being transferred by me.

11. Out-of-class Activity Design -1
Learning Objective(s) of Out-of-Class Activity
Understand the definition of classification and clustering.
Developed new efficient method to classification and clustering.
Find out computational results
Key Concept(s) to be covered
Knn classifier
Centroid classifier
K-mean clustering

12. Out-of-class Activity Design-1
Learning Objective(s) of Out-of-Class Activity
At the end of watching the videos student should be able to
Developed new classifier (Apply Level)
Explain the classification and clustering (Understand Level)
Give more efficient and accurate result.(Apply Level)
Key Concept(s) to be covered
New classifier.
Explanation of classification.
Clustering.
EXAMPLE

13. Video Selection - 1 First check in National Repositories
Classification Videos (
Clustering Videos(
Second Look in International Repositories
UCI Machine Learning Repository(
UCI Machine Learning (dd.ics.uci.edu/databases/kddcup99/kddcup99.html)

14. Video Selection - 2 First check in National Repositories
Classification Videos (
Clustering Videos(
Second Look in International Repositories
UCI Machine Learning (dd.ics.uci.edu/databases/kddcup99/kddcup99.html)
UCI KDD Archive(

15. Out-of-class Activity Design - 2
Main Video Source URL
Mapping Concept to Video Source
CONCEPT
VIDEO SEGMENT
DURATION
(in min)
Classification
07:29 7
TOTAL DURATION
7.29**
* It is recommended to provide customized shortened URLs, as they are easier to remember for future use.
** It is recommended that total duration of video watching and activity should not be more than 1Lecture duration.

16. Out-of-class Activity Design - 2
Main Video Source URL
Mapping Concept to Video Source
CONCEPT
VIDEO SEGMENT
DURATION
(in min)
CLASSIFICATION
V1 - 0:00 – 3:45
3.75
V2 - 3:47 – 3:75
METHOD
V4 - 3:47 – 7:29
7.29
EXAMPLE
TOTAL DURATION
7.29min

17. Designing Assessments
Developed new classifier (Apply Level)
Explain the classification and clustering (Understand Level)
Give more efficient and accurate result.(Apply Level)

18. Out-of-class Activity Design - 3
Aligning Assessment with Learning Objective
Learning
Objective
Assessment Strategy
Expected duration
(in min)
Additional Instructions (if any)
Developed new classifier
Explain the classification 50
Instructions
Expected activity duration
50 MIN
** It is recommended that total duration of activity and video should not be greater than one lecture duration.

19. Out-of-class Activity Design - 3
Aligning Assessment with Learning Objective
Learning Objective
Assessment Strategy
Expected Duration
(in min)
Additional Instructions (if any)
Developed new classifier
Knn classifier
Centroid classifier
K-mean clustering
50 minutes
EXAMPLE

20. Out-of-class Activity Design - 3
Aligning Assessment with Learning Objective
Learning Objective
Assessment Strategy
Expected Duration
(in min)
Additional Instructions (if any)
Developed new classifier
FUZZY Knn classifier
10 minutes
EXAMPLE

21. Out-of-class Activity Design - 3
Aligning Assessment with Learning Objective
Learning Objective
Assessment Strategy
Expected Duration
(in min)
Additional Instructions (if any)
Developed new classifier
Fuzzy Knn (FK-NN )classifier
10 minutes
EXAMPLE
Total activity duration
30 minutes

22. In-class Segment Method of classification. Method of clustering.
Method video searched by me.
Method 1 lecture being transferred by me.

23. In-class Activity Design -1
Learning Objective(s) of In - Class Activity
Understand the method of classification and clustering.
Developed new efficient method to classification and clustering.
Key Concept(s) to be covered
Centroid classifier
K-mean clustering

24. In-class Activity Design -1
Learning Objective(s) of In-Class Activity
At the end of the class, students will be able to,
Developed new method of classifier
Use the classification and clustering
Key Concept(s) to be covered
Use of classification method in Real World Problem Solving.
Implementation using classification method.
EXAMPLE

25. In-class Activity Design -2
Active Learning activity(ies) that you plan to do
Developed new classifier
Explain the classification and clustering
Give more efficient and accurate result.
Explain the strategy by giving details of
Explain the classification and clustering by Teacher.
Student developed new classifier .
Justify why the above is an active learning strategy
Outcomes are efficient and accurate

26. In-class Activity Design -1
Real world problem solving using.
At the end of the class, students will be able to,
Developed new method of classifier
Use the classification and clustering
Concept clarification using.
Use of classification method in Real World Problem Solving.
Implementation using classification method.
EXAMPLE

27. In-class Activity Design -2
Peer Instruction Strategy – What Teacher Does
Pose the two PI questions at the start of the class and provide summary of basic classification and clustering.
Q 1: What will select to the method of classification ?
Knn classifier
Centroid classifier
K-mean clustering
EXAMPLE

28. In-class Activity Design -2
Peer Instruction Strategy – What Teacher Does
 Q 2: Which of the more efficient method of classification ?
Knn classifier
Centroid classifier
K-mean clustering
Fuzzy knn.
EXAMPLE

29. In-class Activity Design -2
TPS Strategy – What Instructor does
First provide a premise
Four method of classification m1, m2,m3 and m4, located at four different an agricultural land, are used to crop classification information about excess so Soil and temperature to a central station located at a distant agricultural university. The crop classification information give a output if the value of temperature and soil exceeds. The central station needs to know which area gave high output.
Assuming that each information is passed as best method of classification. m1 T1 s1 m2 T2 s2 m3 T3 s m4 T4 s4
EXAMPLE

30. In-class Activity Design -2
TPS Strategy – What Instructor does
Instruction: Assuming that Temperature and Soil of a method are Tn and Sn (where n is the station number) as given in the fig,
EXAMPLE

31. Mathematics
find in use of
each and every field.