FLIPPED CLASSROOM ACTIVITY CONSTRUCTOR – USING EXISTING CONTENT

1. FLIPPED CLASSROOM ACTIVITY CONSTRUCTOR – USING EXISTING CONTENT

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

4. About you Monica Sankat working  as Assistant Professor  in MANIT Bhopal. I was born  on 14 sep 1989, I have 4 yrs teaching. I have done MCA and pursing PhD.  I have published I have selected topic Data Base Management System to design a flipped classroom.

5. Replace Header with your Name Monica Sankat DBMS and SQL DBMS 50 MANIT BHOPAL

6. Dr Neeraj  Sahu DATA MINING CLASSIFICATION /CLUSTERING MCA 3nd YEAR PG STUDENTS IN MCA IDP-ET, IIT BOMBAY EXAMPLE

7. 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.

8. 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

9. 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 University Database example(Apply Level) Explain the Level of abstraction (Understand Level) Give more efficient and accurate result.(Apply Level) Key Concept(s) to be covered Data manipulation Language . Explanation of Relational DBMS. DDL. EXAMPLE

10. Video Selection - 1 First check in National Repositories Relational DBMS Videos (https://www.youtube.com/watch?v=gK2IAzN1lcM) Clustering Videos(https://www.youtube.com/watch?v=S54W4oSqp7s) Second Look in International Repositories UCI Machine Learning Repository(https://kdd.ics.uci.edu) UCI Machine Learning (dd.ics.uci.edu/databases/kddcup99/kddcup99.html)

11. Video Selection - 2 First check in National Repositories Classification Videos (https://www.youtube.com/watch?v=RixQygYyDKI) Clustering Videos(https://www.youtube.com/watch?v=2QTeuO0C-fY) Second Look in International Repositories UCI Machine Learning (dd.ics.uci.edu/databases/kddcup99/kddcup99.html) UCI KDD Archive(www.gabormelli.com/RKB/UCI_KDD_Archive)

12. Out-of-class Activity Design - 2 Main Video Source URL https://www.youtube.com/watch?v=un9LZAy8krM Mapping Concept to Video Source 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.

13. Out-of-class Activity Design - 2 Main Video Source URL https://www.youtube.com/watch?v=un9LZAy8krM Mapping Concept to Video Source EXAMPLE 7.29min TOTAL DURATION

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

15. Out-of-class Activity Design - 3 Aligning Assessment with Learning Objective Expected activity duration 50 MIN ** It is recommended that total duration of activity and video should not be greater than one lecture duration.

16. Out-of-class Activity Design - 3 Aligning Assessment with Learning Objective EXAMPLE

17. Out-of-class Activity Design - 3 Aligning Assessment with Learning Objective EXAMPLE

18. Out-of-class Activity Design - 3 Aligning Assessment with Learning Objective EXAMPLE Total activity duration 30 minutes

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

20. 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

21. 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

22. 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

23. 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

24. 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 manipulation? DDL DML DCL EXAMPLE

25. In-class Activity Design -2 Peer Instruction Strategy – What Teacher Does  Q 2: Which of the more efficient command of privileges? DML DCL DDL EXAMPLE

26. s m1 s4 T2 s2 m3 m4 m2 T3 In-class Activity Design -2 T1 s1 T4 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. EXAMPLE

27. 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