Overcoming Self-Regulatory Deficits of At-Risk Math Students at an Urban Technical College: A Self-Regulated Learning (SRL) Intervention - PowerPoint PPT Presentation

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Overcoming Self-Regulatory Deficits of At-Risk Math Students at an Urban Technical College: A Self-Regulated Learning (SRL) Intervention

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Title: Overcoming Self-Regulatory Deficits of At-Risk Math Students at an Urban Technical College: A Self-Regulated Learning (SRL) Intervention


1
Overcoming Self-Regulatory Deficits of At-Risk
Math Students at an Urban Technical College A
Self-Regulated Learning (SRL) Intervention
  • Barry J. Zimmerman, Adam Moylan, John Hudesman,
    and Bert Flugman
  • Graduate School and University CenterCity
    University of New York

Project funded by a Grant from the Institute for
Educational Sciences
2
Setting New York City College of Technology
  • population 13, 370
  • 37.1 Black (non-Hispanic)
  • 28.6 Hispanic
  • 15.9 Asian/Pacific Islander
  • 11.6 White (non-Hispanic)
  • 0.3 Native American
  • 7 Other
  • 80 of incoming freshmen receive need based aid
  • Graduation rate for associate degree students
    averages 21 after six years
  • Only 38 of entering freshmen pass the entrance
    exam in mathematics

3
Why are many minority students in a urban
technical college at-risk in math?
  • In addition to ineffective prior math
    instruction, these students are often deficient
    in key SRL skills, such as
  • They often overestimate their math proficiency
    metacognitively and under-prepare for exams.
  • They fail to self-evaluate their efforts to learn
    accurately.
  • They fail to attribute errors to shortcomings in
    strategy.
  • They fail to adapt their erroneous approaches to
    subsequent math problems.

4
Cyclical Self-Regulatory Phases
Performance Phase Self-Control Self-instruction Im
agery Attention focusing Task strategies Self-Obse
rvation Metacognitive Monitoring Self-recording

Forethought Phase Task Analysis Goal
setting Strategic planning Self-Motivation
Beliefs Self-efficacy Outcome expectations Intrins
ic interest/value Goal orientation
Self-Reflection Phase Self-Judgment Self-evaluatio
n Causal attribution Self-Reaction Self-satisfacti
on/affect Adaptive/defensive
5
A SRL perspective on errors in math
  • Problem solving errors are not signs of
    imperfection but rather are essential sources of
    guidance for SRL.
  • Errors should be reflected upon carefully because
    they reveal alternative ways to solve math
    problems.
  • SRL occurs when students make successful
    adaptations from personal errors.
  • Students should be praised and graded favorably
    for recognizing and overcoming errors rather than
    criticized and penalized for making them.

6
Present Study
  • Semester-long classroom intervention for
    undergraduates (N 496) in challenging math
    courses (developmental math introductory
    college math).
  • Particular focus was placed on enhancing
    self-reflection processes to improve students
    responses to academic feedback
  • Random assignment of Ss to SRL or control
    classrooms

7
Strategic Instruction
  • Teacher models specific strategies at each step
    of the problem
  • Teacher writes down strategies clearly on the
    board in words
  • Teacher explains to the students that they need
    to write down strategies
  • Students encouraged to monitor strategy use
    during math problem solving

8
Increased Practice and Feedback
  • Teacher sets aside time for students engage in
    individual practice of strategies for problem
    solving and error detection
  • Teacher asks students to verbalize error
    detection / problem solving strategies while
    reviewing or working through practice problems
  • Teacher asks students to check their
    understanding (discuss answers to problems and
    errors) with peers in pairs or groups.

9
Quiz
Use the following rating scale to answer the
questions before and after each problem
Definitely not Not confident Undecided
Confident Very confident
confident 1 2
3 4
5
Before solving each problem, circle the number that represents how confident you are that you can solve it correctly. After you have solved each problem, circle the number that represents how confident are you that you solved it correctly.
1 2 3 4 5 1 2 3 4 5

1. Divide by long division
10
Quiz Reflection Form Error Analysis
Revision Sheet, MA175 Quiz ____ Item ____
Now that you have received your corrected quiz,
you have the opportunity to improve your score.
Complete all sections thoroughly and
thoughtfully. Use a separate revision sheet for
each new problem.
  • PLAN IT
  • a. How much time did you spend studying for this
    quiz? _______
  • b. How many practice problems did you do in
    this topic area __________in preparation
  • for this quiz? (circle one)
    0 5 / 5 10 / 10
  • c. What did you do to prepare for this quiz?
    (use study strategy list to answer this question)
  • 2. After you solved this problem, was your
    confidence rating too high (i.e. 4 or 5)?
    Yes/no
  • 3. Explain what strategies or processes went
    wrong on the quiz problem.

11
Quiz Reflection Form Strategic Practice
PRACTICE IT 4. Now re-do the original
quiz problem and write the strategy you are using
on the right.

12
Quiz Reflection Form Transfer of Knowledge


Definitely not Not confident Undecided
Confident Very confident
confident
5. How confident are you now that you
1 2 3
4 5 can correctly solve this
similar item?
6. Now use the strategy to solve the alternative
problem. 7. How confident are you now
that you 1 2
3 4 5 can
correctly solve a similar problem on a quiz or
test in the future?
13
Research Design
  • This study involves a developmental math course
    and an introductory college-level math course. In
    both course levels, students are randomly
    assigned to either the SRL or control classroom.
  • The sample involved a total of 496 students in
    remedial and college-level mathematics courses.
  • There were 4 experimental teachers and 9 control
    teachers
  • Control classrooms receive traditional remedial
    or college-level math instruction.
  • The two groups are compared using multiple
    examination measures and course-related
    self-regulatory measures.

14
Self-Regulation Intervention
  • Train instructors to become coaches of SRL
  • 1. Trained over 3 days before semester
  • 2. Weekly meetings to review implementation by
    instructors
  • 3. Classroom component (modeling, emulation,
    strategy charts, focus on errors as sources of
    understanding)
  • B. Instructors trained to use Self-Reflection
    forms with math quizzes
  • 1. Correcting errors on quizzes
  • 2. Solving alternative problems
  • 3. Gaining points on quiz for self-reflection

15
Math Achievement Measures
  • Math periodic exams. Three uniform, cumulative
    math tests that were administered during the
    semester were used as problem solving performance
    measures. Students were required to fully write
    out their problem solving processes. This exam is
    developed jointly by SRL and control teachers.
  • Math final exam. Comprehensive, department-wide
    final exam scores were used as another
    achievement measure.

16
Self-Efficacy Measures
  • Self-efficacy. As a measure of task-specific math
    self-efficacy, before solving each problem,
    students rated their confidence in their ability
    to solve the problem correctly using a 5-point
    scale (1 definitely not confident, 2 not
    confident, 3 undecided, 4 confident, 5
    very confident).
  • Self-efficacy accuracy. The accuracy calibration
    or magnitude of error between students
    self-efficacy beliefs and their actual
    performance was assessed by subtracting the
    absolute value of the bias score (if problem was
    correct, then the bias score was 5 minus the
    self-efficacy rating if there was an error, then
    the self-efficacy score was subtracted from 1)
    from 4, with 0 being completely inaccurate and 4
    completely accurate.

17
Self-Evaluation Measures
  • Self-evaluation. To measure post-performance
    self-evaluative judgments, students rated their
    confidence that their responses were correct
    using the same scale as for the self-efficacy
    measure.
  • Self-evaluation accuracy. Accuracy calibration of
    post-performance self-evaluative judgments was
    assessed similarly to self-efficacy accuracy.

18
Correlations among Measures (Combined Math
Courses)
Measure 1 2 3 4 5 6
1. Self-Efficacy 1. Self-Efficacy 0.91 0.50 0.43 0.43 0.33
2. Self-Evaluation 2. Self-Evaluation 2. Self-Evaluation 0.43 0.49 0.45 0.34
3. Self-Efficacy Bias 3. Self-Efficacy Bias 3. Self-Efficacy Bias 0.93 -0.46 -0.34
4. Self-Evaluation Bias 4. Self-Evaluation Bias 4. Self-Evaluation Bias 4. Self-Evaluation Bias -0.46 -0.37
5. Periodic Math Exam 5. Periodic Math Exam 5. Periodic Math Exam 5. Periodic Math Exam 0.71
6. Final Math Exam 6. Final Math Exam 6. Final Math Exam
All correlation coefficients ps gt,01 All correlation coefficients ps gt,01
19
Developmental Math Performance
? ?
?
p lt .05 p lt .01. Error bars are standard
errors of the mean.
20
Introductory Math Performance
? ?
? ?
21
Self-efficacy and Self-Evaluation Results
  • There were no significant differences between SRL
    and control group students in their self-efficacy
    or self-evaluation judgments.
  • The mean for the self-efficacy belief was 3.43
    for Controls and 3.39 for SRL on a 5-point scale
  • The means for the self-evaluation belief was
  • 3.58 for controls and 3.45 for SRL
  • These means fall between confident and undecided.

22
Developmental Math Calibration
23
Introductory Math Calibration
24
Within SRL Group Analyses
  • Self-reflection rate of self-reflection
    forms / of quiz errors
  • Formula adjusts for differences in Ss
    opportunities to use the form because students
    who made fewer errors would have fewer chances to
    self-reflect
  • A median split of the self-reflection rate was
    used to compare performance of high
    self-reflectors with low self-reflectors

25
Self-Reflectors Math Exam Results(Combined Math
Courses)
26
Self-Reflectors Math Calibration(Combined Math
Courses)
27
Conclusions
  • SRL students surpassed control students on
    periodic exams as well final exams
  • SRL students reported less over-confidence than
    control students in both their math
    self-efficacy beliefs and self-evaluative
    judgments.
  • SRL students who engaged in greater error
    correction displayed higher math exam grades and
    calibration than students who were low in error
    correction.
  • Although self-efficacy and self-evaluation
    measures were correlated positively with periodic
    and final math exam performance, the SRL
    intervention did not influence these self-
    beliefs.
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