SLIDE 1
CS 501: TA Training Seminar Neeraj Kumar cs.ucsb.edu/ leadta CS - - PowerPoint PPT Presentation
CS 501: TA Training Seminar Neeraj Kumar cs.ucsb.edu/ leadta CS - - PowerPoint PPT Presentation
CS 501: TA Training Seminar Neeraj Kumar cs.ucsb.edu/ leadta CS 501: TA Training Seminar Inclusive Classroom, Students in Need and Academic Integrity Neeraj Kumar cs.ucsb.edu/ leadta Plan for Today Logistics Sign-up for peer
SLIDE 2
SLIDE 3
Logistics Quick recap Implicit Bias Students in Need
Sign-up for peer evaluation Sign-up for course presentation
Academic Integrity (In-class exercise)
Plan for Today
SLIDE 4
Recap : Effective Teaching
∗
Slides taken from slideshare.net/derekbruff/lecturing-basics
SLIDE 5
Recap : Effective Teaching
∗
Slides taken from slideshare.net/derekbruff/lecturing-basics
SLIDE 6
Recap : Effective Teaching
∗
Slides taken from slideshare.net/derekbruff/lecturing-basics
SLIDE 7
Recap : Effective Teaching
∗
Slides taken from slideshare.net/derekbruff/lecturing-basics
SLIDE 8
Recap : Effective Teaching
∗
Slides taken from slideshare.net/derekbruff/lecturing-basics
SLIDE 9
Recap : Effective Teaching
∗
Slides taken from slideshare.net/derekbruff/lecturing-basics
SLIDE 10
Recap : Effective Teaching
∗
Slides taken from slideshare.net/derekbruff/lecturing-basics
SLIDE 11
Implicit Bias
SLIDE 12
Implicit Bias
Thoughts and feelings are “implicit” if we are unaware of them or mistaken about their nature. We have a bias when, rather than being neutral, we have a preference for (or aversion to) a person or group of people.
Examples
SLIDE 13
Implicit Bias
Thoughts and feelings are “implicit” if we are unaware of them or mistaken about their nature. We have a bias when, rather than being neutral, we have a preference for (or aversion to) a person or group of people.
Examples
A competitive programming team with all female programmers..??
SLIDE 14
Implicit Bias
Thoughts and feelings are “implicit” if we are unaware of them or mistaken about their nature. We have a bias when, rather than being neutral, we have a preference for (or aversion to) a person or group of people.
Examples
A competitive programming team with all female programmers..?? All south asians are great at math!!
SLIDE 15
Implicit Bias
Thoughts and feelings are “implicit” if we are unaware of them or mistaken about their nature. We have a bias when, rather than being neutral, we have a preference for (or aversion to) a person or group of people.
Examples
A competitive programming team with all female programmers..?? All south asians are great at math!! A project group with all atheletes is weak.. and many more ...
SLIDE 16
Implicit Bias
Thoughts and feelings are “implicit” if we are unaware of them or mistaken about their nature. We have a bias when, rather than being neutral, we have a preference for (or aversion to) a person or group of people.
Examples
A competitive programming team with all female programmers..?? All south asians are great at math!! A project group with all atheletes is weak.. and many more ...
SLIDE 17
Implicit Bias
Thoughts and feelings are “implicit” if we are unaware of them or mistaken about their nature. We have a bias when, rather than being neutral, we have a preference for (or aversion to) a person or group of people.
Examples
A competitive programming team with all female programmers..?? All south asians are great at math!! A project group with all atheletes is weak.. and many more ...
How to “de-bias”?
– Don’t assume anything based on race, gender or socio-economic background!
SLIDE 18
Implicit Bias
Thoughts and feelings are “implicit” if we are unaware of them or mistaken about their nature. We have a bias when, rather than being neutral, we have a preference for (or aversion to) a person or group of people.
Examples
A competitive programming team with all female programmers..?? All south asians are great at math!! A project group with all atheletes is weak.. and many more ...
How to “de-bias”?
– Don’t assume anything based on race, gender or socio-economic background! – Equal attention to everyone in the class – Equal access to consulting / advising outside the class ..
SLIDE 19
Students in Need
SLIDE 20
Students in Need
More information here
http://www.sa.ucsb.edu/responding-to-distressed- students
SLIDE 21
Students in Need
More information here
http://www.sa.ucsb.edu/responding-to-distressed- students
SLIDE 22
Academic Integrity Cheating and Plagiarism
SLIDE 23
Academic Integrity Cheating and Plagiarism
Breaking the rules e.g during an exam
SLIDE 24
Academic Integrity Cheating and Plagiarism
Breaking the rules e.g during an exam Passing someone else’s work as your own
SLIDE 25
Academic Integrity Cheating and Plagiarism
Breaking the rules e.g during an exam Passing someone else’s work as your own Reporting Cheating
Academic dishonesty affects everyone, so you must report such an act!
SLIDE 26
Academic Integrity Cheating and Plagiarism
Breaking the rules e.g during an exam Passing someone else’s work as your own Reporting Cheating
Academic dishonesty affects everyone, so you must report such an act! Report to the course instructor – they can decide to pursue on their own or report to Dean of Students ⇒ A formal hearing about 30-60 mins
SLIDE 27
Academic Integrity Cheating and Plagiarism
Breaking the rules e.g during an exam Passing someone else’s work as your own Reporting Cheating
Academic dishonesty affects everyone, so you must report such an act! Report to the course instructor – they can decide to pursue on their own or report to Dean of Students ⇒ A formal hearing about 30-60 mins How this helps :
Confront and stop dishonest behavior Record student name to track repeat offenders Promote academic integrity
SLIDE 28
Detecting and Preventing Cheating
Group Exercise
Strategies to detect and prevent cheating for a programming assignment? Strategies to detect and prevent cheating for theoretical homework?
SLIDE 29
Detecting and Preventing Cheating
Group Exercise
Strategies to detect and prevent cheating for a programming assignment? Strategies to detect and prevent cheating for theoretical homework?
- Announce use of MOSS (Measure of Software Similarity)
- Paraphrase assignment so that its not easy to google search
- Randomly compare submissions
- Announce consequences of cheating
- Google search to see what is around beforehand
- Paraphrase questions so that its not easy to google search
- Announce consequences of cheating
Obvious red flags : flawless submission from an otherwise average student, familiar content
SLIDE 30