Unwrapping the Literature on the Impact of Exam Wrappers
Who We Are
Dr. Heather Maness
Assistant Director, Learning Analytics & Assessment, University of Florida
Dr. Deb Hokien
Associate Dean, College of Liberal Arts & Sciences, Kutztown University
Dr. Rebecca Gibbons
Director of Disciplinary and Institutional Accreditation, �Embry-Riddle Aeronautical University
Dr. Bryant Hutson
Director of Assessment, �University of North Carolina at Chapel Hill
Goals
Poll: Who Are You?
1) What is your primary “roll”?
2) How familiar are you with Exam wrappers?
GCA Goal 3
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Use Assessment Findings to Drive Rapid and Equitable Improvements in Pedagogy
Rapid = during a learning experience
(semester/quarter/course)
Today’s Outcomes
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Exam wrapper definition (Lovett)
Wrapper Protocol (Lovett, 2013)
Equity Accelerator analogy: �“Triple Decker Sandwich”
Self Efficacy & �Self-Regulated Learning
Self Efficacy
Why It Matters:
Key Characteristics:
Developed Through:
Exam Wrappers' Role:
Promote self-efficacy by encouraging students to:
A student’s belief in their ability to succeed in specific academic situations (Bandura, 1977)
Self-Regulated
Learning (SRL)
Why It Matters:
Core Components:
Challenges:
Exam Wrappers' Role:
The process by which students actively manage their own learning through planning, monitoring, and reflection (Zimmerman, 1990)
Conceptual Model
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Self-efficacy
Self-Regulated Learning
Academic Environment/ Course Design
Learning Gains
Exam: Assessment OF learning
Wrapper: Assessment
AS learning
Wrapper: Assessment
FOR learning
Execution
Variations in Exam Wrapper Implementation
Is a hot dog a sandwich?
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Are the variations “exam wrappers”?
Thoughts?
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Small Group Discussion (5-8 min)
Our Distilled �Key Ingredients
Our Structured Review
Review Methodology
Full paper: Intersection (v6 i1)
Trends and Variations
Randomized Control (5)
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Element | Variation noted |
# of wrappers | Range = 1-16, Mean = 3.6 |
# of Qs per wrapper | Range = 2-30, Mean = 7.2 |
SRL Instruction | Less than half (13/30) |
Timing | Post-exam (19), Pre-exam (1), Both (8) |
Grading | Extra Credit (9), Graded (8), None (3), Unknown (9) |
Non-Academic Impact Summary: Positive
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Context (16 studies) | Positive Impact or Outcome |
Biology, Computer Science, Engineering, Nursing, Physiology, Statistics (7) | Effective study strategies/aids use |
Chemistry, Computer Science, Psychology (4) | Positive perception of wrappers |
Psychology, Statistics, STEM [Biology, Chemistry, Calculus, Statistics] (4) | Metacognitive ability* *Only non-1st yrs (1 STEM study) |
Chemistry (1) | Self-Efficacy |
Spanish, STEM [Chemistry, Calculus, Statistics] (2) | Self-Regulated Learning |
Biology, Math (2) | Monitoring Accuracy |
Chemistry, Engineering, Psychology, Statistics (4) | Exam Affect/Confidence/ Competence |
Non-Academic Impact Summary: Negative or No Impact
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Context (6 studies) | Impact |
Biology (1) | No impact on accurate prediction |
Chemistry (1) | No impact on conceptual understanding or problem-solving |
Chemistry (1) | No impact on active study strategies |
Biology, Psychology (2) | No impact on metacognitive ability |
Biology (1) | Negative on self-efficacy (same study saw a positive effect in Chem) |
Academic Performance Impact Summary: Positive Impacts
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Context (14 studies) | Impact |
Biology, Business, Chemistry, Computer Science, Criminology, Mathematics, Nursing, Physiology, Psychology, STEM [General], Social Sciences (11) | Higher exam or assignment scores �(1 study also tracked a specific item for higher % correct) |
Chemistry, Statistics, STEM [Biology, Chemistry, Mathematics] (4) | Higher course grade |
Chemistry (2) |
|
Mathematics (1) | Higher pass rate on standardized test |
Academic Performance Impact Summary: Varied Impacts on Different Groups
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Context (12 studies) | Positive Impact or Outcome |
Biology, Business, Engineering, Food Science, Genetics, Math, Psychology (9) | Exam scores -
|
Biology, Statistics (2) | Final grades -
|
STEM (1) | Cumulative GPA increased for males but not for females |
Academic Performance Impact Summary: Negative or No Impact
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Context (10 studies) | Impact |
Biology, Computer Science, Pharmacy [Prof], Psychology, Spanish, VetMed [Prof] (7) | No impact on exam scores |
Chemistry, Genetics, Spanish, VetMed [Prof] (4) | No impact on final grade |
Biology (1) | Negative impact on final grade (same study saw no effect in Chem) |
Conclusions:
From crumbs to a recipe for success
Key Impact Studies
Study [et al.] | Wrapper (Wr) Design | Study Design | Results |
Angell (2024) | Lovett 1-3; 3 Wr, 10-15 Q, Pre; No SRL; Required, 3-5%/exam grade for thorough completion | Quant. – Quasi. Bio (N = 233) | ⇀ Moderate exam score inc. (for lower SAT/ACT) ⟳ Exam prediction accuracy |
Chen (2017) | Lovett 1-3; 4 Wr, ~8 Q, Both; SRL activity; Extra credit | Quant. – RCT Stats (S1 N = 178, S2 N = 203) | ↑ Final grades (4% to 10% w/ 2Wr) ↑ Grade if used planned resource |
LaCaille (2019) | Lovett 1-3; 16 Wr, 13 Q, Post; Yes SRL; Extra credit | Quant. – Quasi. Psych (N = 244, Interv. = 123) | ↑ Quiz and exam scores |
Mutambuki (2020) | Lovett 1-3; 2 Wr, 2 Q, Post; Yes SRL; Grading? | Quant. – Quasi. Chem (N = 427, interv. = 239) | ↑ Exam 3 and final scores ↓ Withdrawal rates |
Rosales (2019) | Lovett 1-3; 4 Wr, 3-5 Q, Post; Study tips; In-class, Grading? | Quant. – Quasi. Chem (N = 154, interv. = 71) | ↑ Final exam & course grades ↑ Withdrawal (vs failure) rates ⟳ Active study strategies |
Stephenson (2017) | Lovett 1-4; 1 Wr, 6-8 Q, Post; Brief SRL; Voluntary, 3%/exam | Quant. – S1= Quasi. S2 = RCT CompSci (N = 289; S2 N = 752) | ⟳ Final exam score ↑ Skill-building intentions |
Zimmerman (2011) | Lovett 1-2; 4 Wr, 7-10 Q, Post; Yes, hvy SRL; Voluntary, Extra Cr | Quant. – RCT Math (N = 496) | ↑ Exam Performance (>Wr = ↑↑) ↑ Standardized test scores |
Implications: Instructors
Template in Canvas Commons
Google doc direct link:
Implications: Assessment Scholars
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Don’t just add an exam wrapper, be a hero!
(and spread the word!)
Discussion & Questions