Wayne State University College of Education TEAC: Inquiry Brief Proposal Presentation Presented by the TEAC Advisory Committee April 24, 2012
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Transcript Wayne State University College of Education TEAC: Inquiry Brief Proposal Presentation Presented by the TEAC Advisory Committee April 24, 2012
Wayne State University
College of Education
TEAC: Inquiry Brief
Proposal Presentation
Presented by the TEAC Advisory Committee
April 24, 2012
Overview
Program Overview
Claims & Rationale
Methods of Assessment
Results, Discussion, Plan
Claim 1
Claim 2
Claim 3
Auditor’s Comments
Program Overview
Background and History
Distinguishing Features of the Program
Requirements for Admissions & Graduation
Demographics of Initial Certification Candidates
Description of Faculty
Logistics of Program
Claims & Rationale
Claim 1: Initial Certification Completers
understand subject matter knowledge they will teach
(Learning to Learn, Multicultural, Technology).
Claim 2: Initial Certification Completers have
pedagogical knowledge (Learning to Learn,
Multicultural, Technology).
Claim 3: Initial Certification Completers know
how to teach in a caring and effective matter
(Learning to Learn, Multicultural, Technology).
Methods of Assessment
Sources of Measure
Surveys (performance assessments, WSU surveys,
MDE surveys, observations)
Course Grades (methods & total GPA)
Ratings of Capstone Conversation
Scores on MTTC
Research Design
Reliability and Validity Factors
Claim 1:
Subject Matter
Knowledge
Subcommittee: Janet Andrews, Mariane Fahlman,
Chavon Jackson, Jo-Ann Snyder, Cheryl Somers,
Initial Certification Completers
understand subject matter
knowledge they will teach.
Learn and understand the subject matter they hope to
teach.
Competencies & Data Sources
Competencies: 1, 2,
Data Sources:
•Unit Plan
•MDE Supervisor Survey
•University Supervisor
Final Eval. Observation
•GPA
•MTTC
•Cooperating Teachers
Final Eval. Observation
•WSU Student Exit Survey
Performance Assessments and
Observation Data
Claim 1: Findings
Finding 1 – based on unit plan
assessment, 95% of students
demonstrated knowledge of subject
matter at the proficient or exemplary
level
Finding 2 – both cooperating teachers
and college supervisors rates 93%
proficient or exemplary in knowledge of
subject matter
Claim 1: Findings
Finding 3 – all teacher candidates
receive a grade of C or better in all
subject matter courses.
Finding 4 – all teacher candidates
successfully complete the MTTC.
Findings of CCT: LEARNING
TO LEARN
Receiving passing grades in 100 % of
content area classes is evidence that
strategies for learning were at their
command
Successful completion of the MTTC test
demonstrated their mastery of content
material again evidencing their ability to
learn
Discussion of Content
Knowledge (claim 1)
The data we examined suggests that our
candidates have learned and do understand
the subject matter when they leave us.
Our data sources for cross-cutting themes
appeared to be too narrow.
Additionally we have data we have not
examined for cross-cutting themes (e.g. mc
course, tech course).
Implications for Content
Knowledge (claim 1)
Need better documentation of how students use
technology to develop concepts in their discipline.
We need to include other sources that demonstrate
evidence of this such as:
DIVERSITY:
University Foreign
Culture requirement,
COE Multicultural
requirement,
COE inclusion
requirement,
TECHNOLOGY
Computer literacy
requirement,
Technology course
in every curriculum
E-Portfolios
Blackboard
LEARNING TO
LEARN:
What else can we
do?
Claim 2:
Knowledge of
Pedagogy
Subcommittee: Oscar Abbott, Abby Butler, Bev
Schneider, David Whitin, Phyllis Whitin,
Initial Certification Completers
have pedagogical knowledge:
They organize for effective instruction by
establishing a safe and orderly environment that is
conducive to learning and creative and critical
thinking.
They utilize school, community, and technological
resources and integrate content across the
curriculum.
They use a range of assessment strategies to
inform ongoing instruction.
Competencies & Data Sources
Competencies: 2, 3, 4, 8, 9
Data Sources:
Community
Observation
District School
Curriculum Analysis
Final Eval Observ.
Univ. Supervisor’s
Final Final Eval
Observ.
Classroom
WSU Student Entry
Lesson Plan
WSU Student Exit
Management Plan
Unit Plan
Case Study
Cooperating Teacher’s
Survey
Survey
MDE Supervisor Exit
Survey
Performance Assessments and Observation Data
Competency
Performance Assessments
CO* DSC* CMP*
2
37%
49%
3
48%
LP
UP
Observations
CS
CTF
USF
89% 95%
93%
96%
91% 97% 87%
95%
94%
4
42%
90% 95%
95%
96%
8
44%
85% 90% 76%
97%
97%
49%
89%
95%
97%
9
40%
Percentages are proportions of students rated proficient or
higher on the respective competency for each data source.
*Indicates assessments given early in the program where a
score of basic is considered acceptable.
Findings for Pedagogy (Claim 2)
•
Higher percentages of proficient or exemplary ratings are
found in assessments that take place later in the program.
•
Highest ratings (Lesson/Unit Plan) and Cooperating
Teacher and Supervisor assessments indicate that
candidates exit the program pedagogically well prepared.
•
There are lower ratings for CO, DSC, CMP, and CS. CO,
DSC, and CMP reflect introductory experiences. CS is
assessed later in the program.
Discussion for Pedagogy (Claim 2)
CO, DSC, and CMP, with only 37 – 48% showing
proficient and above performance, are indicative of a
beginning level understanding when this content is
first introduced. A rating of basic is considered
satisfactory for these 3 assignments.
Data from 2010-2011 reflect the work of many
candidates who were not exposed to the service
learning component that is designed to give candidates
experience working with children and community
organizations.
The low Case Study scores (87% and 76%) are of
more concern since it is assessed later in the program.
Discussion for Pedagogy:
Cross-Cutting Themes (Claim 2)
Learning to Learn is reflected in five performance
assessments and two observations: CO, DSC, CS, LP, UP,
and CTF, USF.
Multicultural is reflected in three performance assessments
and two observations: DSC, LP, UP and CTF, USF.
Evidence for these two themes is integrated throughout
students’ experiences.
Technology is only reflected in two assessments: DSC, LP.
Evidence for Technology theme is thin.
Implications for Pedagogy (claim 2)
Closely monitor assessments with lower ratings, and
implement changes to strengthen the program.
These results, particularly for CS, suggest modifications to
our program, e.g. to incorporate into methods classes
additional experiences involving formulating instructional
decisions based on ongoing observational assessments.
Modules developed by SED may be useful to all initial
certification candidates in their work on CMP.
Revise assessment rubrics that reflect technology in
candidates’ teaching.
Initiate conversations to examine evidence of technology-
integrated pedagogy at the program level for each content
area.
Claim 3:
Caring and
Effective
Teaching
Subcommittee: Tom Edwards, Sharon Elliott,
Sharon Sellers-Clark, Bo Shen, Marshall Zumberg,
Initial Certification Candidates
are Caring and Effective
Caring Teaching: Reflects interest in, and
concern for, students.
Effective Teaching: Results in student
learning
Competencies & Data Sources
Competencies: 3, 4, 5, 6, 7, 10
Data Sources:
Community
Observation (CO),
Classroom
Management Plan
(CMP),
Reflective Journal (RJ),
Teaching and Learning
Statement (TLS),
Lesson Plan (LP),
Unit Plan (UP),
Case Study (CS).
Performance Assessment
Competency
CO*
3
CMP*
RJ
48%
73%
4
73%
5
47%
TLS
LP
UP
CS
91%
97%
87%
84%
90%
95%
87%
88%
95%
85%
86%
91%
82%
6
42%
44%
77%
81%
7
35%
44%
74%
86%
10
39%
82%
Percentages are proportions of students rated proficient or higher on the
respective competency for each data source.
*Indicates assessments given early in the program where a score of basic is
considered acceptable.
Note:
Community Observation (CO), Classroom Management Plan (CMP), Reflective
Journal (RJ), Teaching and Learning Statement (TLS), Lesson Plan (LP), Unit Plan
(UP), Case Study (CS)
Competencies & Data Sources
Competencies: 3, 4, 5, 6, 7, 10
Data Sources: (Con’t.)
Capstone Conversation (CC),
WSU Student Entry Survey (WSEn),
WSU Student Exit Survey (WSEx)
MDE Student Exit Survey-MDE (MSEx),
MDE Supervisor Survey (MSS),
University Supervisor Final Observation (USF),
Cooperating Teacher Final Observation (CTF).
Survey and Observation Data
Percentages are proportions of students rated proficient or higher on the
respective competency for each data source.
*Indicates assessments given early in the program where a score of basic is
considered acceptable.
Note: CC=Capstone Conversation; WSEn=Student Entry Survey;
WSEx=Student Exit Survey; MSS=MDE Supervisor Survey; USF=University
Supervisor Final Evaluation Observation; CTF=Cooperating Teacher Final
Evaluation Observation.
Findings for Caring & Effective (Claim 3)
Percentage of proficient and exemplary ratings tends to be
higher on assessments that occur later in the program.
Highest percentages of students rated proficient and
exemplary on items related to caring and effective teaching
occurred in the MSS, USF, and CTF.
There are only small differences in the percentages of
students rated proficient and exemplary on the WSEx and
MSEx compared to the USF and CTF.
Lowest percentages of proficient and exemplary ratings
occurred on the CO and CMP, both of which occur early in
the program. (It is also noteworthy that a rating of “basic” is
considered satisfactory on those two assessments.)
Findings for Cross-Cutting Themes
in Caring & Effective Teaching
Caring & Effective Teaching: Data drawn from 7
performance assessments, 4 surveys, and 2 observations
across 6 competencies.
Learning to Learn data was drawn from
Four of the performance assessments (CO, RJ, TLS, LP)
across Competencies 7 & 10.
Three (CC, WSEn, WSEx) of the surveys in Competency 6.
Both of the observations in Competency 6 (CTF, USF)
Findings for Cross-Cutting Themes
in Caring & Effective Teaching
Caring & Effective Teaching: Data drawn from 7
performance assessments, 4 surveys, and 2 observations
across 6 competencies.
Multicultural Perspective data was drawn from
Six of the assessments (CO, RJ, TLS, LP, UP, CS) across
Competencies 5, 6, 7, & 10.
All four of the of the surveys across Competencies 5 and 7.
Both of the observations across Competencies 5 and 7
Findings for Cross-Cutting Themes
in Caring & Effective Teaching
Caring & Effective Teaching: Data drawn from 7
performance assessments, 4 surveys, and 2 observations
across 6 competencies.
Technology data was drawn from
Three of the assessments (TLS, LP, UP) in Competency 4.
Three of the surveys (WSEn, MSS, WSEx) across
Competencies 3, 4, and 6.
There was no data addressing issues of caring & effective
teaching from either either observation that provided direct
evidence of technology.
Findings for Cross-Cutting Themes
(CCTs) in Caring & Effective Teaching
There was data for each of the CCTs embedded in the data
for Caring & Effective.
The data that was there supports each theme.
Multi-Cultural Perspective had the most supporting data.
Technology had the least supporting data.
Technology is not addressed directly in either the CTF or
USF.
Discussion: Caring & Effective Teaching
Our analysis of the data revealed a clear trend in the
growth of the proportion of candidates rated proficient or
higher on the performance assessments in areas related to
caring & effective teaching.
This analysis suggests that our program completers grow
over time in their ability to provide caring and effective
teaching.
The vast majority reach proficient or exemplary ratings.
The evidence we have supports the claim that we prepare
teachers who are caring & effective.
Discussion: CCTs in Caring & Effective
Regarding the cross-cutting themes, the evidence
of a multi-cultural perspective is strongest, because it comes
from more data sources and addresses more of the related
competencies.
of learning to learn is adequate ,
of technology is weakest, coming from only a few data sources,
one of which is self-reported.
Implications for Caring and
Effective Teaching
Revisit the rubrics of those performance assessments with
the lowest percentages of proficient and exemplary ratings
to ensure that the rubrics are providing the information we
seek.
Consider revising the rubrics for all of the performance
assessments so they provide more information about our
candidates technological proficiency in the service of
pedagogy.
Revisit the CMP rubric to learn why no data related to
caring & effective teaching from that source supports any
cross-cutting theme.
Revise the observation reporting forms to provide
information on technology.
Small Group Discussion
1. Do we have the evidence to support these claims? Why/Why not?
2. What are the strengths of the evidence?
3. What might be missing?
4. Other assessments/tools we should consider to assure:
Subject Matter Knowledge
Pedagogical Knowledge
Caring & Effective Teaching
With the 3 cross cutting themes:
Learning to Learn
Multicultural Perspectives
Technology
Auidtor’s Comments