Physics 218 towards a set of guidelines. Why guidelines for 218 ?  This guidelines need to be created for several purposes: 1.to be as fair as possible.

Slides:



Advertisements
Similar presentations
CS112: Course Overview George Mason University. Today’s topics Go over the syllabus Go over resources – Marmoset – Blackboard – Piazza – Textbook Highlight.
Advertisements

HUDM4122 Probability and Statistical Inference March 30, 2015.
Lecture 1: Overview CMSC 201 Computer Science 1 (Prof. Chang version)
POGIL vs Traditional Lecture in Organic I Gary D. Anderson Department of Chemistry Marshall University Huntington, WV.
 Catalog Description:  Pre ‑ requisite: Math Level 2, Math 087, placement, or equivalent. This is a one semester course in the basic fundamentals of.
Qualitative Research An Alternative to the Numbers Game.
Fall 2004 WWW IS112 Prof. Dwyer Intro1: Overview and Syllabus Professor Catherine Dwyer.
CS 201: Introduction To Programming With Java
Physics 151 Week 11 Day 2 Topics: Forces, Apparent Weight, & Friction  Energy  Dot Produce  Work  Conservation of Energy with Work  Work-Energy Theorem.
Dr. Tatiana Erukhimova [year] Overview of Today’s Class Folders Syllabus and Course requirements Tricks to survive Mechanics Review and Coulomb’s Law.
Modern Optics Lab Modern Optics Lab Introductory Meeting.
MSAE E4215 Mechanical Behaviour of Structural Materials Lecturer: I. C. Noyan Text: Herzberg, 4 th Edition- Deformation and Fracture Mechanics of Engineering.
Establishing corrective norms Session III TEAM WORKSHOP team3.ppt - 1 Team Workshop - Session III  Summary of Brainstorming/Affinity grouping exercise.
Introduction to Programming Environments for Secondary Education CS 1140 Dr. Ben Schafer Department of Computer Science.
Computer Science 102 Data Structures and Algorithms V Fall 2009 Lecture 1: administrative details Professor: Evan Korth New York University 1.
PHYS 214: The Nature of Physics Physics 214: The Nature of PhysicsSpring 2004 Lecturer:Professor D. Koltick Office:Room 335 Physics Building Phone:
Miscellaneous Notes: This is a bare-bones template – make it fancier if you wish, but be sure to address at least the items listed here. Basically this.
History for General Education at SUNY Potsdam.  Creating Courses Targeted toward General Education Learning Objectives  Increasing Success of First-Year.
Redesign of Beginning and Intermediate Algebra using ALEKS Lessons Learned Cheryl J. McAllister Laurie W. Overmann Southeast Missouri State University.
Teaching Assistant Workshop Mechanical Engineering Fall 2013.
1 HCC Brandon Independent Study Orientation Power Point Instructor: Tiffany Cantrell.
COMP 111 Programming Languages 1 First Day. Course COMP111 Dr. Abdul-Hameed Assawadi Office: Room AS15 – No. 2 Tel: Ext. ??
Design IS 101Y/CMSC 101 Computational Thinking and Design Tuesday, October 15, 2013 Carolyn Seaman University of Maryland, Baltimore County.
Course Introduction CSCI Software Engineering II Fall 2014 Bill Pine.
Ms. Lemons General Chemistry Syllabus and Class Guidelines.
COMP 208/214/215/216 Lecture 3 Planning. Planning is the key to a successful project It is doubly important when multiple people are involved Plans are.
ECEN 301Discussion #1 – Syllabus1 All Sections MWF 1:00 – 1:50 PM 256 CB Lecture: MW Recitation: F Labs: M or Th Instructor: Prof. David Long Office: CB.
1 My Experiences as Faculty Member and Researcher Dr. Kalim Qureshi.
CSCE 1040 Computer Science 2 First Day. Course Dr. Ryan Garlick Office: Research Park F201 B –Inside the Computer Science department.
Welcome to Physics 1D03.
Dana Nau: CMSC 722, AI Planning Licensed under the Creative Commons Attribution-NonCommercial-ShareAlike License:
Welcome to CS 115! Introduction to Programming. Class URL Write this down!
Math 110: Pre-calculus I Instructor: Mike Panitz Monday, Wednesday, 1:15pm – 3:20pm Room 250
Teaching Mathematical, Computer, and Statistical Sciences Ryan Isaac Harris ……….…………….… Jason Vermette.
ELG2336 Introduction to Laboratory
+ Introduction to Class IST210 Class Lecture. + Course Objectives Understand the importance of data, databases, and database management Design and implement.
CS 100Lecture 11 Welcome to CS 100 n Goal: Learn to write intelligible, correct computer programs n Language: Java (but the language should not be the.
Matter and Interactions 1 Fall 2006 Matter & Interactions I Physics Professor & Lecturer: Dr. Reinhard Schumacher Teaching Assistants: Ms. Elisa.
Introduction to ECE 2401 Data Structure Fall 2005 Chapter 0 Chen, Chang-Sheng
Syllabus Highlights CSE 1310 – Introduction to Computers and Programming Vassilis Athitsos University of Texas at Arlington 1.
Principles of Physics. Download the following files: Syllabus All the documents are available at the website:
WorkRoles Responsi- bilities Instructors
U.S. ACADEMIC EVALUATION SYSTEM Danielle Steider.
Evaluation & Assessment 10/31/06 10/31/06. Typical Point Breakdown COURSE GRADES: Grades will be assigned on the basis of 450 points, distributed as follows:
IST 210: Organization of Data
CIS 842: Specification and Verification of Reactive Systems Lecture ADM: Course Administration Copyright , Matt Dwyer, John Hatcliff, Robby. The.
Lecture 1: Overview CMSC 201 Computer Science 1. Course Info This is the first course in the CMSC intro sequence, followed by 202 CS majors must pass.
CSCE 1030 Computer Science 1 First Day. Course Dr. Ryan Garlick Office: Research Park F201 B –Inside the Computer Science department.
Unit 4 Review LISTENING, NOTE TAKING, AND REMEMBERING.
1 CS 101 Today’s class will begin about 5 minutes late We will discuss the lab scheduling problems once class starts.
Welcome to CS 101! Introduction to Computers Fall 2015.
BIT 143: Programming – Data Structures It is assumed that you will also be present for the slideshow for the first day of class. Between that slideshow.
Your Comments I understand the concepts, but the math formulas being spat out like machine gun bullets are really confusing me. Is there a way we can see.
Who are we???  Four Year Comprehensive College of the SUNY system  604 acre campus located on Long Island about 20 miles east of NYC  Multicultural.
King Saud University1 CSC 112 Java Programming I Introduction.
Syllabus Highlights CSE 1310 – Introduction to Computers and Programming Vassilis Athitsos University of Texas at Arlington 1.
CS112: Course Overview George Mason University. Today’s topics Go over the syllabus Go over resources – Marmoset – Blackboard – Piazza – Textbook Highlight.
Grading Exams and Papers. Exams What is there to think about? What should they know? Scores between students Scores between graders The post-grading.
Data Structures and Algorithms in Java AlaaEddin 2012.
Lectures 1 – Course Overview Monday January 7 th (start Ch. 1 on Wed. 9 th ) Organization of the course Course web page Breakdown of the grade Schedule.
COP4020 INTRODUCTION FALL COURSE DESCRIPTION Programming Languages introduces the fundamentals of the design and implementation of programming languages.
IST 210: ORGANIZATION OF DATA Introduction IST210 1.
Dana Nau: CMSC 722, AI Planning Licensed under the Creative Commons Attribution-NonCommercial-ShareAlike License:
REMINDER: If you haven’t yet passed the Gateway Quiz, make sure you take it this week! (You can find more practice quizzes online in the Gateway Info menu.
WELCOME TO MICRO ECONOMICS AB 224 Discussion of Syllabus and Expectations in the Class.
WELCOME TO MANAGERIAL ECONOMICS MT 445 Discussion of Syllabus and Expectations in the Class.
Advanced Lab Topical Conference 2009 Session III: Curricular Roles for Advanced Labs Presented by: Gabe Spalding, Illinois Wesleyan University
Computer Science 102 Data Structures CSCI-UA
Physics Lab Policies.
Presentation transcript:

Physics 218 towards a set of guidelines

Why guidelines for 218 ?  This guidelines need to be created for several purposes: 1.to be as fair as possible to all UP students.  For things that are common to all the grading should be common to all 2.to reduce the load on the instructors  Common setting of things helps a lot 3.to reduce friction among ourselves  If teaching 218 seems a highly stressful and contentious enterprise we are not doing it well.  P218 is a departmental service course.  Instructors can’t just do what they want.  Basic rules of the game apply to everyone.  If you can’t play nice, you shouldn’t play here. June 24th, 20152

Things agreed by mostly everyone

No-brainers  Lab grades to be passed centrally to department.  218-wide Coordinator or Lab coordinator ?  Challenge exam’s TA(s) to be identified early on from 218 TA pool for grade/proctoring. June 24th, 20154

TA’s performance  Office hours (p27 of survey)  Ask them to hold some office hours. June 24th, 20155

TA’s performance  Rating by Instructors (p29)  Rate only when something does not work.  Who Rates ? Rec. and Lab Coordinators ? Harder to implement for each lecture leader. June 24th, 20156

Assuming we do things we did last semester with only minor changes.

Target Final Grade Allocation (p6)  Table in survey was biased by one person putting all 100% for A’s.  Without that entry we get:  Propose to use that by default in the future.  Will put into guidelines  Discussion of absolute scale later on June 24th, Biased

Reporting to students (p9/10)  As the semester progress students need to clearly know where they stand so they can roughly estimate the letter grade they are on track to obtain. In the past this was done instructor by instructor in very different manners  Students talk to each other; one class was told that XX was an A and the other that YY was an A. This is a disaster.  A predictor is more useful for the average student than for the good one.  Survey supported the creation of common predictor  what type to use ? June 24th, 20159

Reporting to students (p9/10), cont.  Comments on the right.  Between three possibilities.  Option 1: ignore all other activities and base off midterms  Option 2: try to come up with average that considers q-drops and all other activities. Needs to be slightly conservative  Custom option: Two people selected this. One of them basically proposes a modified Option 2 that includes recitation/lab/etc grades.  It seems majority prefers Option 2.  We could implement that using previous semester’s information on the number of q-drop for each letter grades too.  We’ll put into guidelines June 24th,

Multiple Exam Versions (p13-14) Varying Answers  No majority of votes.  11 out of 15 instructors think that 2% (5%) or less students cheat in a room filled at 50% (66%)  Majority thinks that we should have two exam flavors, for either room occupancies considered.  Make known there are several versions  Only difference in ordering or value of parameters.  Will put into guidelines. June 24th,

Mastering Homework – cheating (p25/26)  Widespread copy and paste.  This is not during the process of investigating, comparing and learning.  One proposal June 24th,

Mastering Homework cheating (cont)  Widespread copy and paste.  This is not during the process of investigating, comparing and learning.  From one proposal  Reduce to 5% weight  Make points irrespective of correct answers  Ask TA to query each group about one problem from homework and deduct points if they don’t do appropriately. June 24th,

Recitations (p33-34)  Mechanical steps ?  Not acceptable, hmm. June 24th,  Instructors preferred a larger set of problems  3 or 4 problems 15 minutes long each  We should aim for that.

Things that require medium-level changes Some could be incorporated in Fall 2015

Curriculum (p4-5)  Remove Waves all together ?  Important if common final  7 out of 16 wants to remove it  3 out of 16 want to shorten it  Shorten Periodic Motion, how ? June 24th,

Curriculum (p4-5), comments  Remove Waves all together ?  Important if common final  7 out of 16 wants to remove it  3 out of 16 want to shorten it  Shorten Periodic Motion, how ? June 24th,

Common Weights (p42)  Strong preference towards common weights in all activities.  Should put this in Fall 2015 June 24th,

Common Syllabus (p42)  Strong preference towards common syllabus  We can put this in Fall 2015  (Back to reporting to students) June 24th,

Common Homework set (P43) June 24th,  Strong preference to use common Homework set.  (back to considering reporting to students)

Reporting to students (p9/10) (copy)  As the semester progress students need to clearly know where they stand so they can roughly estimate the letter grade they are on track to obtain. In the past this was done instructor by instructor in very different manners  Students talk to each other; one class was told that XX was an A and the other that YY was an A. This is a disaster.  A predictor is more useful for the average student than for the good one.  Survey supported the creation of common predictor  what type to use ? June 24th,

Reporting to students (p9/10), (copy) cont.  Comments on the right.  Between three possibilities.  Option 1: ignore all other activities and base off midterms  Option 2: try to come up with average that considers q-drops and all other activities. Needs to be slightly conservative  Custom option: Two people selected this. One of them basically proposes a modified Option 2 that includes recitation/lab/etc grades.  It seems majority prefers Option 2.  We could implement that using previous semester’s information on the number of q-drop for each letter grades too.  We’ll put into guidelines June 24th,

Absolute Scale (p7)  Consensus on that there should be an absolute scale.  How ? Most common proposal is having exam banks; need many to gauge all aspects of course. Also enough problems that they can’t memorize. Also results could differ when taken in the final or in the midterms. June 24th,

More Drastic Changes in the future

Common Finals (p11)  Consensus in having one if possible.  Consensus in having one the week before finals.  “Fourth common midterm”  Too late for Fall 2015 June 24th,

Common Finals (p11), comments  Consensus in having one if possible.  Consensus in having one the week before finals.  “Fourth common midterm”  Too late for Fall 2015 June 24th,

Time allocation for Labs and Recitations(P40)  Feeling that Lab is not valued by students. Supported by polls in two different classes.  “The manifestation of physics is lost on the technical details”.  “I wouldn’t even see the increase of velocity if I didn’t have the computer to begin with”.  “At the end we just rush and try numbers randomly until we get the green checkmark”.  Feeling that too much time given to the Lab vs Recitation  Consensus on about equal times for each  Probably require significant scheduling changes. June 24th,

Involuntary Bias (p16)  General support in having exams created by other people.  Several options on the table  Option 2: “Draw and replace” seems most popular.  Variations of that in the next slide June 24th,

Involuntary Bias (p16), comments June 24th,

Chapter Thank you 30June 24th, 2015