TC 310, Spring 2004 Mid-term Evaluation Results. Overall results 1.Overall high scores 2.Overall, consistency across dimensions 3.Still room for improvement.

Slides:



Advertisements
Similar presentations
On Deck For the Month of March. Midterms They Sneak Up Quickly! Start Studying Early and Work Hard! (Remember Goals You Set)
Advertisements

Header, Specification, Body Input Parameter List Output Parameter List
Midterm Evaluations of Teaching Pilot Project Kiran Mahal & Dr. Simon Bates.
Booster Trainings There will be times when we all need a more intensive refresher across campus. –When might those times may be? –What will the format.
Chapter 6: The Standard Deviation as a Ruler and the Normal Model.
September 19, 2009Section 4 Section Notes1 EWMBA201A Eva Vivalt.
THE TEST CYCLE. CREATION Write objectives – match objectives! Table of Specifications Write items (match objectives, meet quality characteristics, edit,
McDaniels – Dec 19, Outline ADC Calculations – Estimation of placement uncertainty – Effect on Set 1 and Set 2 values.
MAT 1235 Calculus II Section 7.1 Integration By Parts
AR = Higher Test Scores “Active Reading” “Active Reading”
Primary school-based counselling: Is it associated with reductions in psychological distress? Mick Cooper Professor of Counselling.
Prospects for funding of adult social care Gemma Tetlow ADASS Spring Seminar, 15 April 2015 Yarnfield Park Conference Centre, Staffordshire © Institute.
Social Psychology: Why We Do Dumb or Irrational Things: 10 Brilliant Social Psychology Experiments.
Examples for the midterm. data = {4,3,6,3,9,6,3,2,6,9} Example 1 Mode = Median = Mean = Standard deviation = Variance = Z scores =
Quality Of Life, Health And Well Being Of Highly Active Individuals Louisa Raisbeck, Jeanne Johnston, Joel Stager, Francoise Benay Human Performance Laboratory,
Student Growth in the Washington State Teacher Evaluation System Michelle Lewis Puget Sound ESD
Prepared by Jennifer Kreie, New Mexico State UniversityHosted by the University of Arkansas Microsoft Enterprise Consortium SQL Fundamentals Aggregating.
+ General Education Assessment Spring 2014 Quantitative Literacy.
Measures of Central Tendency And Spread Understand the terms mean, median, mode, range, standard deviation.
FINAL WRAP-UP Phil 108 All about final grades. Q UIZ AND F INAL The Quiz: The Quiz: 40 % of your final exam The Final: The Final: 60 % of your final exam.
Analyses PLAN and PSAT Score Results Fall 2012 PSAT/NMSQT.
Comparisons of independent schools across time: QCEA 2005, 2006, and 2007 Key assumptions Summary of Results Arabic: All students, and independent school.
Discussion What information did you hear today that point to areas of success and accomplishments? Were there survey results that suggest areas where more.
UNDERSTANDING 2012 NATIONAL SURVEY OF STUDENT ENGAGEMENT (NSSE) RESULTS Nicholls State University October 17, 2012.
Conducted in the summer of 2012 at 19 COCA-I camps, with a total participation of 2725 campers.
This material is based upon work supported by the National Science Foundation under Grant No and Any opinions, findings, and conclusions.
Max – a game with two dice. Preparations You need a dice cup and two dice. There‘s no limit to the number of players. You just have to be the best bluffer.
NWEA Data and Goal Setting Where do we need to go? How will we get there?
PEG Year 12 Tracking progress 25 th of November 2015.
Committee on University Effectiveness Working Group on Institutional Assessment April 8, 2011.
Format  Presentation  Why are we taking a creative approach to learning?  What does that actually mean?  How have we implemented it?  Discussion.
Final FRCA VIVA Course Evaluation June 2012.
PSLE Debriefing Meeting. Schedule Debriefing sessions are typically held 1 – 2 days after the evaluation. The supervisor will schedule this meeting during.
9 March 2004ECON 130 (003) Spring University of Hawai‘i at Mānoa Department of Economics ECON 130 (003): Principles of Economics (Micro)
Two-Dimensional Data Class of 5 students Each student has 3 test scores Store this information in a two- dimensional array First dimension: which student.
COLLEGE ADMISSION TEST SCORES Student IDReadingWritingMathTotal S S S S S
16-19 Accountability Measures. When Outcomes from summer 2016 (for students on 2 year courses). That is enrolments September First publication:
CSE 486/586, Spring 2014 CSE 486/586 Distributed Systems Paxos Steve Ko Computer Sciences and Engineering University at Buffalo.
Do Now  You have given your beginning of the year diagnostic assessment. Your 30 students produce these results:  20 score below 50%  7 score between.
IPO Lap Problem 1 Create a flow chart and IPO for the following application: A user is allowed to enter 5 numbers. The application should provide summary.
Scoring the Technical Evaluation Maximum possible score
US Curriculum benchmark 2016
Advanced Queries in MS Access
Jennifer Lee Hoffman, PhD, University of Washington
New Approach to Teammate Evaluation Rationale #8 Week 9
What makes cities hotter?
Patrice Bleau CHARLOTTE - September 2009
The Urban Heat Island Effect in Atlanta, Georgia
Standards Based Grading
Team Project Showcase Presentation: 15 to 20 minutes Peer evaluation
Access Center Assessment Report
Teacher Effectiveness and Support for Growth
New Approach to Teammate Evaluation Rationale #7 Week 11
EECE.3170 Microprocessor Systems Design I
Preparing a PROFILOR® Feedback Report
Bellwork ~ Solve 1.) x - 3 < 6 2.) x + 6 > -3
METL Assessment: November Co..
ASSESSMENT 11 assessment groups should inspect
Midterm Scores > stem(scores) The decimal point is at the | 10 | 38
Creating Coaching Cycles that Move Coach Practice Forward
Query Functions.
Links…
Around the room Orders of operations.
EECE.2160 ECE Application Programming
An Overview of the Achievement Profile Data
© 2016 Cognizant. © 2016 Cognizant Competitors.
All slides must use an aspect ratio of 16:9.
Midterm Statistics.
Arezo Ghiam IME 301 Project Winter 2010
Levine et al continued.
Presentation transcript:

TC 310, Spring 2004 Mid-term Evaluation Results

Overall results 1.Overall high scores 2.Overall, consistency across dimensions 3.Still room for improvement (avg <> 5) 4.Some divergence across dimensions Note: Think/learned/prepare > Enjoyed Note: Enjoyed > Think/learned/prepare

Unpacking averages 1.Max is 5 or higher! 2.Min suggest points of dissent (e.g., look at design rationales & debriefing questions)

Unpacking averages 1.Some min scores are unsurprising…

Unpacking averages Question: Why might the writing of rationales not be seen as leading to learning or work preparation?

Unpacking averages Question: Why might the formulation/asking of questions about designs not be seen as leading to learning or work preparation?