FALL 2015 QLP TA Training Workshop. AGENDA (Morning) 9:00 – 9:10Introduction to QLPTeam 9:10 –...

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Transcript of FALL 2015 QLP TA Training Workshop. AGENDA (Morning) 9:00 – 9:10Introduction to QLPTeam 9:10 –...

FALL 2015

QLP TA Training Workshop

AGENDA (Morning)

9:00 – 9:10 Introduction to QLP Team9:10 – 9:20 Student Learning Outcomes (SLOs) Kim Massaro9:20 – 9:30 Data Collection Overview & Parscore

TutorialKimberly Ward

9:30 – 9:40 Data Entry and Submission (QLCDS-upper division only)

Kim Massaro

9:40 – 9:50 Tips for TA/Graders and Resources Kimberly Ward9:50 – 10:00 Tips for Grading Writing Gail Pizzola

AGENDA (Afternoon)

1:00 – 1:10 Introduction to QLP Team1:10 – 1:20 Student Learning Outcomes (SLOs) Kim Massaro1:20 – 1:30 Data Collection Overview & Parscore

TutorialKimberly Ward

1:30 – 1:40 Data Entry and Submission (QLCDS-upper division only)

Kim Massaro

1:40 – 1:50 Tips for TA/Graders and Resources Kimberly Ward1:50 – 2:00 Tips for Grading Writing Gail Pizzola

What is the QLP?

The Quantitative Literacy Program is part of UTSA’s Quality Enhancement Plan to address the critical need for quantitative skills in students by enhancing core curriculum of select courses.

The goal is to teach students to think critically when solving problems that involve observing andinterpreting data.

Quantitative Literacy Program (QLP) Program Goals

Develop quantitative skills in undergraduate students

Implement effective teaching pedagogies and assessments to support the development of an exemplary quantitative scholarship program at the undergraduate level

Provide the organizational framework and resources for an institutional transformation to graduate a quantitatively informed citizenry

Q-Course

Current Course QLP Q-Course

• Learn Quantitative Skills• Think critically• Interpret and use data

that naturally exist in the subject area• Make informed

decisions• Makes the course more

engaging

Data + Q. Methods + Redesign

In regular (non-Q) courses, information and data are presented to students in a lecture format and discussed.In a Q-course, students generate and analyze real-world data sets appropriate for the subject.

Example: Physical Anthropology students visited the San Antonio Zoo to collect data on primate activities and created charts and graphs for study

How are Q-courses different from regular courses?

Why is it important? Get More Out of Courses

QLP courses help students1. Acquire basic quantitative literacy and numeracy skills2. Effectively communicate the results of their quantitative

analysis3. Acquire discipline-specific advanced quantitative skills

By incorporating data analysis into existing classes, students will see how informed decisions can be made in the context of their discipline.

These skills are useful in everyday life.

QLP Growth

Year One (2011-12)

Year Four (2014-15)

20 faculty 100 faculty10 Q-Courses 27 Q-Courses113 Sections 556 Sections

6,845 enrollments 26,599 enrollments

2015-16 Q-course List

ANT 2033ANT 2043ARC 4183ARC 4283BIO 1233BIO 1404COM 3073CRJ 3013ECO 2003ECO 2013ECO 2023ENG 2413ES 2013

HIS 2123 HIS 2133 KIN 3323MAT 1043MDS 4983PHI 1043POL 1013POL 1113

SOC 1013SOC 3323SPE 3603STA 1053WRC 1013WRC 1023

27 Q-courses 19 core, 8 upper division

LEARNING TO EVALUATE

QLP Student Learning Outcomes

EXPLORE

Students will demonstrate the ability to explore data to define problems and identify solutions in a variety of real-world contexts.

VISUALIZE

Students will demonstrate the ability to visualize data through converting information into different graphical and tabular forms.

ANALYZE

Students will demonstrate the ability to analyze data using different quantitative methods and draw appropriate conclusions.

TRANSLATE

Students will demonstrate the ability to translate quantitative language into verbal assumptions and vice versa.

EXPRESS

Students will demonstrate the ability to express quantitative evidence effectively in oral or written communication.

Taxonomies

PRE-TESTASSIGNMENT(S)

POST-TEST

Data Collection Overview

Different Courses—Different Processes

Depending on the course, the data collected will differ.

Core courses still give and grade Q-assignments, but no longer need to upload data to QLCDS website

Core Courses (1000 or 2000 level) Upper-Division (3000 or 4000 level)

Pre/post-test including one short written question (SLO: Express)

Pre/post-test including one short written question (SLO: Express).

Q-Assignment data not collected/submitted to the QLP

One common Q-assignment that covers four or more SLOs, including Translate and Express

PRE/POST-TEST

How to grade Parscore

Parscore Process

1. Faculty register for Parscore for their Q-course sections at the beginning of every new semester.

2. The students fill out the Parscore forms for pre/post-test.

3. The faculty/grader grades the Express piece for student.

4. The grader puts the Express score on student’s Parscore form

5. Faculty/Grader create a Parscore “key” and drop off forms to Parscore office, indicating it is a Q-course and give permission for Testing Services to send student results to the QLP.

Parscore Types

Parscore Form #F-14507-PAR-L (small one)ParScore Form #F-1712-ERI (large one)

Or

How to Grade Express Piece (large form)

Write the score that the student received in the far right column of the SUBJ SCORE box.

Bubble in the score that the student received for the Express piece in the same column.

5

How to Grade Express Piece (small form)

Write the score that the student received in the far right column of the EXAM # box.

Bubble in the score that the student received for the Express piece in the same column.

How to create a ParScore Key

Bubble in the correct answers into the multiple choice questions Write and bubble in the maximum number of points student could receive on the

Express question in Express box Write Instructor’s Name, Course ID, Section #, “Pre-test” (or “Post-test”), and “KEY.”

Or

George W

ashingtonH

IS 1013.002 Pre-test KEY

08/28/2015 MW

F 8-8:50

Geo

rge

Was

hing

ton

HIS

101

3.00

2 Pr

e-te

st K

EY08

/28/

2015

M

WF

8-8:

50

55

COLLECTING ASSESSMENT DATA

BEST PRACTICES

TA/Grader Resources

Resources Available:Your faculty should be your first resource for questions related to the Q-course.

Blackboard Learn Gradebook permissions Parscore Rubrics/grading materials

You and the faculty member can contact the QLP Team (qlp@utsa.edu) for questions related to

QLCDS Data entry/submission

For those using Blackboard Learn, there are helpful tutorials available online for use (https://learn.utsa.edu/resources_instructors.html)

TIPS FOR GRADING WRITING

Any Questions?