regression analysis best fit line · mr. indrajeet varhadpande section 1: open education resource...

RC1367 Group ID - 006

Regression Analysis – Best Fit Line

Work done as part of AICTE approved IITBombayX Faculty Development Program: FDP201x Pedagogy for Online and

Blended Teaching-Learning Process

RC1367: St. Vincent Pallotti College of Engineering and Technology, Nagpur

Group ID – 006: Dr. Surendra Gole, Mrs. Namrata Gore, Mr. Indrajeet Varhadpande

Domain : Mathematics

Creativecommons license for the work - Regression Analysis by Dr. Surendra Gole, Mrs. Namrata Gore, Mr. Indrajeet Varhadpande is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Based on a work at https://ngore05.gnomio.com. To view a copy of this license, visit https://creativecommons.org/choose

http://creativecommons.org/licenses/by-nc-sa/4.0/


https://ngore05.wordpress.com/

https://ngore05.wordpress.com/



https://ngore05.gnomio.com/

https://creativecommons.org/choose

RC1367_Group ID- 006 Dr. Surendra Gole Mrs. Namrata Gore Mr. Indrajeet Varhadpande

Table of Contents

Section 1: Open Education Resource (OER): Regression Analysis - Best Fit Line ......................... 1

About the OER .............................................................................................................................. 1

Learning Objectives ....................................................................................................................... 1

Helpful Documentation for Tool Use .............................................................................................. 2 Section 2: Design Decisions ............................................................................................................. 3

Nature of Decision Taken............................................................................................................... 3

Content Decisions ......................................................................................................................... 3

Pedagogic Decisions ...................................................................................................................... 3

Technology Decisions .................................................................................................................... 3 Section 3: OER Description ............................................................................................................ 4

Active OER .................................................................................................................................... 4

Lesson settings ............................................................................................................................. 4

How to use this OER ...................................................................................................................... 7 Section 4: Evaluating Effectiveness of OER .................................................................................... 8

Effectiveness at the Level of Students ............................................................................................ 8

Effectiveness at the Level of Consumers/Other Users ...................................................................... 8 Section 5: Consolidated Log of Team Work .................................................................................. 10 Section 6: Building a Community ................................................................................................. 11

Works Cited ................................................................................................................................ 11

References .................................................................................................................................. 11

Open Education Resource: Regression Analysis - Best Fit Line


Section 1: Open Education Resource (OER):

Regression Analysis - Best Fit Line

About the OER This open education resource on Regression Analysis is containing Learning educational Dialogues (LeD’s), Learning by Doing quizzes (LbD), Discussion Forum, LxT and Feedback. This resource is useful to users for understanding the basic concepts of above topic in Mathematics. OER is downloadable from Moodle course URL related to this OER are :

LED 1: Regression Analysis – Best Fit Line

https://youtu.be/I5QKlm7lRKY

http://ngore05.gnomio.com

The detailed description about the creation and utilization of this OER is given in

document OER Submission Maths which is uploaded on the website

http://ngore05.wordpress.com in the menu ‘OER Courseware’

Target Audience : 2nd

Semester B.E. All Branches Undergraduate students Tags : Best Fit Line, Regression Analysis, Dr. Surendra Gole, Normal Equations, Least

Square Method, Sales Forcasting The OER has been developed in Apowersoft Screen Recorder.

This resource is licensed under the CC-BY-SA version 4.0. You are free to use, distribute

and modify it, including for commercial purposes, provided you acknowledge the source and share-alike. To see more details about the license visit


Learning Objectives

After using this OER, learner will be able to understand:

Basics of Regression Analysis.

Concept of Least Square Method

Application of this in sales forecasting

Helpful Documentation for Tool Use

1. For LeD Apower (an Open Source Tool, free recorder)

2. For adding quiz below LbD- short quiz code from Github.com (an Open Source Tool) 3. Gnomio.com domain has been used for creating- http://ngore05.gnomio.com and hosting

website on internet. 4. Licensing through creativecommons.com


http://ngore05.gnomio.com/



Section 2: Design Decisions Nature of Decision Taken

The design decisions involved in the creation of this OER were of broadly of four types:

1. Content Decisions

2. Pedagogic Decisions

3. Technology Decisions

Content Decisions

The content decisions related to:

a) Specific segment to be covered- (i) Theoretical and practical aspects Basic concepts of Regression Analysis

Basics of Regression Analysis.

Concept of Least Square Method

Application of this in sales forecasting

Pedagogic Decisions

1. It was decided that self-learning LeD videos will be created with demonstrating each

aspects of construction procedure. 2. Recall and understand questions will be provided in LbD and multiple choice questions

(MCQ) will be given under the videos. Technology Decisions

While developing the LeD videos, the following technological decisions were undertaken:

a) Tool to be used for creating LeD videos – Apower Recorder. It has a time limit of 10 minutes and provides option for creating videos as mp4 files that can be directly played from browser

b) www.youtube.com for uploading LeD videos along with creative commons license. c) For adding LbD quiz below LeD videos - short quiz code from Github.com (an Open

Source Tool) d) Technical matter in form of ppt using Microsoft office PowerPoint presentation.


http://www.youtube.com/


Section 3: OER Description

Active OER

For checking the active OER, one have to access http://ngore05.gnomio.com or download it

from

– LED 1: Regression Analysis - URL


Lesson settings

This OER is a LeD video based on concept of ‘Regression Analysis ’. PPTs were prepared on selected topic using Power point presentation. Using Apower screencast videos were made.

Screenshot of preparation of LED videos using Apower Screencast software

These LED videos were then uploaded in Youtube website


http://ngore05.gnomio.com/

Screenshot of uploading video in youtube using gmail login

and the link was embedded in Moodle site ngore05.gnomio.com site for OER.


Screenshot of moodle web platform used for hosting OER courseware,

LbD, Discussion Forum & LxT and MCQs in form of quiz were added below LeD

video for learner to assess themselves.


RC1367_Group ID- 006

Dr. Surendra Gole

Mrs. Namrata Gore

Mr. Indrajeet Varhadpande i,

Screenshot of Creativecommons license to the wordpress site


How to use this OER

Step 1: One may download the LED video on ‘Regression Analysis – Best Line Fit (OER) directly from from youtube. URL is given below:

LED 1: Regression Analysis https://youtu.be/I5QKlm7lRKY

One can also access from http://ngore05.gnomio.com

Best Practices with OER

It is a self-learning module for students of all branches in undergraduate course of

engineering with MCQ practice set.

Flipped Classroom activity can be carried out based on this video.



http://ngore05.gnomio.co/

Section 4: Evaluating Effectiveness of OER

The OER effectiveness can be assessed at 2 levels:

1. At the level of students

2. At the level of consumers/other users

Effectiveness at the Level of Students

Students can access the OER i.e. LeD videos for learning concepts and solving practice examples as per their convenience. Students can evaluate themselves by solving practice questions provided in the videos and LbD-MCQ given below video.

Effectiveness at the Level of Consumers/Other Users Total number of views, number of likes and dislikes and number of subscriber can help in identifying the effectiveness of OER at the level of consumer/other users.

Feedback form through Contact link Besides this email address of presenters of this OER has been provided in website in contact, so viewers can directly e-communicate their comments regarding ease of use, concept covered, way of presentation etc in the respective OERs.

Screenshot of Contact link in Menu of OER website for feedback


Screenshot of Student / User feedback through email in contact link

Screenshot of Student / User feedback through Moodle Course


Section 5: Consolidated Log of Team Work The consolidated log of team work is as shown below:

Activity Team Member Amount of Time

(in Hrs.)

Discussion Group Leader 2.00

Group Member 1 2.00

Group Member 2 2.00

Tool Group Leader 1.00

Exploration

Group Member 1 1.00

Group Member 2 1.00

OER Creation Group Leader 4.00

Group Member 1 5.00

Group Member 2 3.00

OER Group Leader 2.00

Documentation

Group Member 1 2.00

Group Member 2 6.00

Individual Group Leader 2.00

Reflection

Group Member 1 2.00

(Diary Logging)

Group Member 2 2.00

OER Evaluation Group Leader 2.00

Group Member 1 2.00

Group Member 2 2.00



Section 6: Building a Community

Possible Sources for Community Building

Some of the viable sources for building a community are:

At Local/Institutional Level- Community building process has already started at institutional level during face to face interaction phase at RCs and during Group Project Activity. It is further successfully extended in various other academic activities

At the Level of Interested Users- e-mail address of presenters were provided in each

videos. Resultantly interested users may direct contact for community building Works Cited

1. Error! Hyperlink reference not valid. (an Open Source Tool, free recorder)

2. Quiz code from wordpress support hosted by Github (an Open Source Tool)

3. http://gnomio.com

4. http://wordpress.com 5. https://en.wikipedia.org

6. www.youtube.com

7. www.google.com

8. www.creativecommons.com

References

This presentation is based on Open Education Resource: Flipping the classroom with MOODLE, OER Submission Example by IDP in Educational Technology 2016, IIT Bombay.

Blooms Taxonomy


http://gnomio.co/

https://en.wikipedia.org/

http://www.youtube.com/

http://www.google.com/

http://www.creativecommons.com/

regression analysis best fit line · mr. indrajeet varhadpande section 1: open education resource...

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