Teaching Portfolio

– Presentedby

AshwiniBP

AssitantProfessor DepartmentofComputerScienceandEngineering

SIT,Tumkur,Karnataka

India

Agenda

Ø  Teachingphilosophystatement Ø  Samplecourse

Ø  Teachinglearningprocess Ø  Fundamentalsofcurriculumdesign

Ø  Dynamicclassroom

Ø  Effec:veAssessment Ø  Collabora:velearning

Ø  Harnessingthepoweroftechnology

Ø  Wri:ngResearch

Teaching philosophy statement

My statement concentrated on

COURSE DELIVERY part for which I am

solely responsible.

To know all the students of my

course by NAME, and address them with

names.

To conduct MORE

discussions and INTERACTIONS

with my students.

Collect the FEEDBACK from

students at regular intervals

through small tests, their

opinions, polling etc...And try to improve myself,

which is a benefit for my

students.

To improve the RESULTS of my course in this

year compare to previous year at

least by 5%

IDENTIFY and cater to slow

learners

APPRECIATE the students and motivate for

better learning

To INTRODUCE working in

COLLABORATION

Achieve the EXPECTED

OUTCOMES of the course

Italsoconcentratedon

Sample Course

During phase 1: • Object Oriented Modeling and Design • Level :UG • Credits:4

During phase 2: • Finite Automata and Formal Languages • Level :UG • Credits :4

Reflections on Fundamentals of Course Design

Introduced to proper words to be used in our objectives and outcomes of a course.

Revised the objectives and outcomes of each course I handled from then.

Used Backward Design technique to design the syllabus for the new course to be introduced in the department. "Big Data and Data Analytics”

The revised objectives and outcomes along with the planning for the activities will be added shared with the students from coming academic year.

Objectives of the course: Big Data and Data Analytics Ø UnderstandwhatisBigdata,itsevolu:onanditstechnologicalfounda:ons.

Ø DescribethearchitectureofHDFSandHbase,Developandexecutesimplemap

reduceapplica:ons

Ø Describe theHiveandpigarchitectureanddemonstrate analyzingof thebig

data.

Ø Discussthevariousdataanaly:caltechniquesandunderstandtheusageofR-

studio.

Ø Apply the Advanced Analy:cal Theory And Methods such as Clustering,

Classifica:on,Associa:onRuleMiningtoanalyzedata

Ø Illustratetheimportanceofsocialmediaanaly:csandtextminingandanalyze

thetextdata.

TEXT BOOKS

Black Book: BIG DATA, 2015 Edition, Dreamlech Press.(UNIT:1,2,4,6)

Tom White, "Hadoop: The Definitive Guide", Third Edition, O'Reilley, 2012.(UNIT :1)

Data Science and Big Data Analytics: Discovering, Analyzing,Visualizing and Presenting Data,EMCEducation Services (Editor),January 2015(UNIT:4,5)

Book chapter:www.public.asu.edu/~xiahu/papers/bookchap12Hu.pdf (UNIT:6 )

Reflections on the module: Dynamic

Class room

The points on CSSF and ITTF were eye opener. Though the questions were trivial responding to

those questions was very tricky.

Recording our own activities was very challenging. Students supported well and did all

the recording and editing part

Conducted the following activities to achieve active learning • Word Antakshari • Brain Storming • Concept test • Think Pair Share

Reflections on the module Effective Assessment

Reading the paper “Designing Tests to Maximize Learning” by Richard M. Felder was very effective, and enlightened me .

The followings points are always remembered and followed by me

• Never surprise the students with new questions in the exams • Solve the paper yourself first and then test the students to check the time

management. • Evaluate the students for what they have written and not for what is missing. • Solve the difficult questions in the class rather than testing them with those. • Students should be aware of the rubrics for your evaluation.

Sample Rubric 0-2needlotof

improvement3-4needimprovement 5-6good 7excellent

Followingtheindenta:on Notfollowedorminimallyfollowed

Correctindenta:onwithmisseditinmorethanplaces

Correctindenta:onwithmisseditin1-2places

Correctindenta:on

Debuggingtheerrors Notabletodebugonownoronlyfewsyntaxones

Abletodebugallsyntaxerrorsnotseman:cerrors

Abletoclearallsyntaxandfewseman:cerrors

Clearbothsyntaxandseman:cerrors

Execu:onoftheprogramandunderstandingtheoutput

Notexecutedorjustexecutedwithoutknowingtheoutput

Executedandabletoseethedesiredoutput

Executedandabletoseeandunderstandthedesiredoutput

Executedandabletoseethedesiredoutput,understandjus:fy

Analyzingtheoutput NotanalyzedorveryliXleanalysis

Analyzethetypeoftheinputtobegiven

Analyzethetypeoftheinputtobegivenandexpectedoutputpar:ally

Analyzethetypeoftheinputtobegivenandexpectedoutputcompletely

MaintainingLabrecord Notmaintainedorminimallymaintained

Incomplete(Missedprograms)

Incomplete(Missedpartsofitlikeflowchartandoutput)

CompleteProgramAlgorithmFlowchartOutput

Reflections on the module Collaborative learning

Conducted JIGSAW activity for three courses, Foundations of Data Science, Object Oriented Modeling and Design and Finite Automata and Formal Languages.

The activity was not so successful when I conducted for Foundations of Data Science, because I faced problems in planning, rubrics of evaluation and even in execution.

But when did it as a practicum, it was successful. I got the right number for the team size and planning was good.

Reflections on the module Harnessing the power of technology

I was using the ICT tools before but now the tool is reducing my work and making me smart.

Created a virtual class room through Edmodo.

The resources such as videos, slides and review questions were posted on edmodo.

Conducted flipped class room with the help of the virtual class room

Developed a Faculty development model for our college.

Results of Flipped Class Room

43 students among 60 could answer all the

questions

11 could answer few and

6 students were not prepared for the flipped class room and did not

participate actively

Feedback about the activity •  I asked the students

to give a feedback about the activity and 28 students voted

• 27 liked the activity • 1 disliked

Writing Rearch

Topic: Concept Maps for organizing the Course Delivery in Finite Automata and Formal Languages: An Undergraduate Course

Successfully able to guide UG students to publish papers in national level competition and conference.

Symptoms Based Disease Predictor

Union Budget Analysis Using R

One of the teams stood 2nd for their work.

Contd…..

I have listed all the concepts of the FAFL course and connected them to form a concept map. Based on the concept map, a course delivery plan is developed by organizing the concepts based on its importance and dependencies.

This will impact on the order of the concepts delivered as well as organizing of the concepts in

the minds of the students. Cmap tool used to generate the concept maps.

Results

Classnumber

Date FiniteAutomata(Module1)

1 CentralConceptsofAutomataTheory

2Determinis:cFiniteAutomata(DFA)

3

4Nondeterminis:cFiniteAutomata(NFA)

5

6Nondeterminis:cFiniteAutomata(NFA)WITHεtransi:ons

7

8 Applica:onsofFiniteAutomata

Classnumber

Date

FiniteAutomata(Module1)Mainconcept Subconcepts Pre-requisite

concepts1 CentralConceptsof

AutomataTheoryAlphabet,Strings,Language,Problem

Set,Input,Finite,Power,Iden:ty,Epsilon

2 Determinis:cFiniteAutomata(DFA)

FormalDefini:onofDFA,DFAandstrings,Extended,transi:onfunc:on,LanguageofDFA

Strings,Language,State,Startstate,Finalstate,Acceptstring,Rejectstring

3

4 Nondeterminis:cFiniteAutomata(NFA)

Informalview,Formaldefini:on,Extendedtransi:onfunc:on,LanguageofNFA,NFAtoDFA

Strings,Language,DFA,Null,PowerSet,Startstate,Finalstate

5

6 Nondeterminis:cFiniteAutomata(NFA)WITHεtransi:ons

ε-transi:ons,ε-closure,Extendedtransi:onfunc:on,Elimina:ngε-transi:ons,ε-NFAtoDFA

Strings,DFA,NFAtoDFA,Epsilon,PowerSet7

8 Applica:onsofFiniteAutomata

TextSearch,Recognizingkeywords,FindingStringsinText

DFA,NFA,Strings

FeedBack

Subject FAFL

EVEN 2014-15 82%

EVEN 2015-16 91%

Comparison of the CIE : 50marks

u  2015-16

0

5

10

15

20

25

30

2014-15 2015-16

45> 40-45 30-40 20-30 <20

Outcomes of each module

MODULE OUTCOME WHATDIDN’TWORK/needsimprovement

OVERALLEXPERIENCE

Coursedesign Designednewcourse

CompleteCourseplanyettoimplement

Ac:velearning Abletodocumentnewac:vity

Timemanagement

Effec:veAssessment

IntroducedtoRubrics

Addingtocourseplan

Collabora:velearning

GoodresponsefromstudentsExperimentednewac:vi:es

NotabletoincludetoCIE

PowerofTechnology

Usededmodo Yettoincludeothertools

Wri:ngResearch Mypaper,guidedUGstudents

Needtoimprovealot

Thank You

Questions?