Assessing Student Engagement in the Classroom Rick D. Axelson, PhD Assistant Professor, University of Iowa, Carver College of Medicine Arend Flick, PhD.

Slides:



Advertisements
Similar presentations
Bridging Research, Information and Culture An Initiative of the Research and Planning Group for California Community Colleges Your Name Your Institution.
Advertisements

Now That They Stay, What Next?: Using NSSE Results to Enhance the Impact of the Undergraduate Experience.
Maximizing Your NSSE & CCSSE Results
Gallaudet University Results on National Survey of Student Engagement Office of Institutional Research August, 2007.
UniLOA The University Learning Outcomes Assessment The Center for Learning Outcomes Assessment, Inc. ©
Alternative Assesment There is no single definition of ‘alternative assessment’ in the relevant literature. For some educators, alternative assessment.
Assessing Institutional Effectiveness: The Mission Engagement Index (MEI) as a Measure of Progress on Mission Goals Ellen Boylan, Ph.D. ● Marywood University.
Neag School of Education Using Social Cognitive Theory to Predict Students’ Use of Self-Regulated Learning Strategies in Online Courses Anthony R. Artino,
Steps in the Research Process I have a research question, what do I do next?
Faculty Survey of Student Engagement Using What Faculty Say about Improving Their Teaching Thomas F. Nelson Laird, IUB Jennifer Buckley, IUB Megan Palmer,
Title I Needs Assessment and Program Evaluation
Enjoyability of English Language Learning from Iranian EFL Learners' Perspective.
Choosing Your Primary Research Method What do you need to find out that your literature did not provide?
Negative Urgency, Distress Tolerance and Problematic Alcohol Use Abstract Purpose: This study aimed to explore the relations among Negative Urgency, Distress.
Want to be first in your CLASSE? Investigating Student Engagement in Your Courses Want to be first in your CLASSE? Investigating Student Engagement in.
Sara Xiong & Rebecca Radle, Advisor: Dr. Susan Wolfgram, University of Wisconsin-Stout Research Question & Hypothesis What resources do young single parents.
1 Using Factor Analysis to Clarify Operational Constructs for Measuring Mission Perception Ellen M. Boylan, Ph.D. NEAIR 32 nd Annual Conference November.
Copyright © 2001 by The Psychological Corporation 1 The Academic Competence Evaluation Scales (ACES) Rating scale technology for identifying students with.
1 MSP-Motivation Assessment Program (MSP-MAP) Tools for the Evaluation of Motivation-Related Outcomes of Math and Science Instruction Martin Maehr
Reliability and factorial structure of a Portuguese version of the Children’s Hope Scale José Tomás da Silva Maria Paula Paixão Catarina Carvalho dos Santos.
1 Self-regulated Learning Strategies and Achievement in an Introduction to Information Systems Course Catherine, S. C. (2002). Self- regulated learning.
Exploring the Relationships Among College Students’ Goal Orientations, Perfectionism, and Academic Self-Efficacy Hannah Geis and Brittany Weber, Faculty.
Mountain View College Spring 2008 CCSSE Results Community College Survey of Student Engagement 2008 Findings.
MPI Mission Perception Inventory Institutional Characteristics and Student Perception of Mission: What Makes a Difference? Ellen Boylan, Ph.D. ● Marywood.
Asian International Students Attitudes on Women in College Keyana Silverberg and Margo Hanson Advised by: Susan Wolfgram, Ph.D. University of Wisconsin-Stout.
 Cynthia J. Miller, Ph.D. Assistant Professor Dept. of Physiology & Biophysics University of Louisville.
Understanding Satisfaction and Continuing Motivation in an Online Course: An Extension of Social Cognitive, Control-Value Theory Anthony R. Artino, Jr.
Student Classroom Engagement in 4 th to 12 th Grade Christi Bergin, Ze Wang, David Bergin, Rebecca Bryant, & Renee Jamroz University of Missouri American.
GARNET: Geoscience Affective Research Network WHAT MOTIVATIONS AND LEARNING STRATEGIES DO STUDENTS BRING TO INTRODUCTORY GEOLOGY? GARNET PART 2, STUDENTS.
Applying Self-Regulated Learning Strategies in a Web-Based Instruction-An Investigation of Motivation Perception 指導教授: Chen, Ming-puu 報 告 者: Chen, Wan-Yi.
Tonya Filz & Regan A.R. Gurung University of Wisconsin – Green Bay Abstract As class sizes increase due to stagnating budgets, and as colleges and universities.
Monica L. Heller & Jerrell C. Cassady Ball State University, Muncie, IN.
School of something FACULTY OF OTHER Medical Education Unit Leeds Institute of Medical Education will skill Workshop: Pause2Learn: developing the will.
A Preliminary Investigation of Student Perceptions of Online Education Angela M. Clark University of South Alabama Presented at ISECON 2003 San Diego,
1 This CCFSSE Drop-In Overview Presentation Template can be customized using your college’s CCFSSE/CCSSE results. Please review the “Notes” section accompanying.
Community College Survey of Student Engagement (CCSSE) Benchmarks of Effective Educational Practice Summary Report Background: The Community College Survey.
Quantitative SOTL Research Methods Krista Trinder, College of Medicine Brad Wuetherick, GMCTE October 28, 2010.
1 Self-Regulation and Ability Predictors of Academic Success during College Anastasia Kitsantas, Faye Huie, and Adam Winsler George Mason University.
Presenter: Kuo, Szu-Wei
De Anza College 2009 Community College Survey of Student Engagement Presented to the Academic Senate February 28, 2011 Prepared by Mallory Newell Institutional.
ENGAGING STUDENTS, CHALLENGING THE ODDS 2006 SFCC Findings
Joan M. T. Walker Long Island University and
Student Engagement and Academic Performance: Identifying Effective Practices to Improve Student Success Shuqi Wu Leeward Community College Hawaii Strategy.
Second Language Classroom Research (Nunan, D. 1990) Assoc. Prof. Dr. Sehnaz Sahinkarakas.
So What Matters in the Development of Leadership Capacity? More Findings from the Multi-Institutional Study of Leadership * International Leadership Association.
Instrumental Behaviors Following Test Administration and Interpretation: Exploration Validity of the Strong Interest Inventory Presented by: Ana AriasAlheli.
Practices and Predictors of the Use of Accommodations by University Faculty to Support College Students with Disabilities Leena Jo Landmark, M.Ed., and.
Surveying instructor and learner attitudes toward e-learning Presenter: Jenny Tseng Professor: Ming-Puu Chen Date: April 12, 2008 Liaw, S., Huang, H.,
Investigate the present status of Self-regulated Learning skills of University students studying in the Open & Distance Learning Environment. Vajira De.
Online students’ perceived self-efficacy: Does it change? Presenter: Jenny Tseng Professor: Ming-Puu Chen Date: July 11, 2007 C. Y. Lee & E. L. Witta (2001).
Neag School of Education -- Learning Online -- Understanding the KABs of Successful Online Learners Anthony R. Artino, Jr. Cognition & Instruction Program.
Dyadic Patterns of Parental Perceptions of Health- Related Quality of Life Gustavo R. Medrano & W. Hobart Davies University of Wisconsin-Milwaukee Pediatric.
ClimateQUAL™: Organizational Climate and Diversity Assessment Sue Baughman Texas Library Association April 2009.
The authors would like to acknowledge the families at the Children’s Hospital of Wisconsin Jane P. Pettit Pain and Palliative Care Center. For more information,
Rubrics: Using Performance Criteria to Evaluate Student Learning PERFORMANCE RATING PERFORMANCE CRITERIABeginning 1 Developing 2 Accomplished 3 Content.
The Moral Framing Scale (MFS): Measuring Moral Perceptions of Social Issues Katherine R. G. White & Ciara Kidder Columbus State University & University.
© 2009 Pearson Prentice Hall, Salkind. Chapter 13 Writing a Research Proposal.
Assessing Student Engagement at the Course Level Rick D. Axelson, PhD, Univ. of Iowa, Off. Consult & Research in Medical Educ. Arend Flick, PhD, Norco.
CARL-N Mini-conference Students and Faculty Perspectives: Are We Engaged Yet? Presented by Yuhfen Diana Wu Dr. Martin Luther King, Jr. Library San Jose.
Results Reliability Consistency and stability of cluster solution across different samples In both years, three distinct cluster groups identified thus.
Development of the Construct & Questionnaire Randy Garrison & Zehra Akyol April
Using a Strategy Project to Promote Self-Regulated Learning
First-Year Experience Seminars: A Benchmark Study of Targeted Courses for Developmental Education Students.
Exploratory Factor Analysis Participants, Procedures, & Measures
Investigate the present status of Self-regulated Learning skills of University students studying in the Open & Distance Learning Environment. Vajira De.
ASSESSMENT OF STUDENT LEARNING
Participants & Procedure
Perceived versus Actual Knowledge of Autism Spectrum Disorder
Measuring Athlete Coachability
Learning online: Motivated to Self-Regulate?
Presentation transcript:

Assessing Student Engagement in the Classroom Rick D. Axelson, PhD Assistant Professor, University of Iowa, Carver College of Medicine Arend Flick, PhD Professor of English, Norco College Annual Conference of the American Evaluation Association San Antonio, Texas; November 11, 2010

Presentation Outline 1. What is Engagement? 2. Accountability vs Educ Research 3. Classroom-based Survey 4. Pilot Testing of the Survey  Norco College, CA  University of Iowa, Carver College of Medicine

1. What is Engagement? Increasingly Important Concept – student engagement a key to improving education (perception that students are less engaged) Increasingly Important Concept – student engagement a key to improving education (perception that students are less engaged) Everyday language: commitment, involvement, participation Everyday language: commitment, involvement, participation Educational Accountability: involvement of students in good educational practices at their institutions (NSSE, CSEQ) Educational Accountability: involvement of students in good educational practices at their institutions (NSSE, CSEQ) Educational Research Literature: connections between students and their learning environments: Educational Research Literature: connections between students and their learning environments:  Behavioral – time-on-task, physical involvement, participation in activities  Cognitive- interest, attention, meaning, effort  Affective –bonds with teachers, classmates – affecting effort, integration, attachment, commitment to institution Meta-construct involving all three components (Fredricks, Blumenfeld, Paris, 2004) Meta-construct involving all three components (Fredricks, Blumenfeld, Paris, 2004)

2. Accountability vs. Educ Research To refine the definition of engagement, need to distinguish accountability from research usage of the term To refine the definition of engagement, need to distinguish accountability from research usage of the term Accountability vs.Educational research Measure:Aggregate indexVariable(s) in a learning process or task Level:Institutional-levelClassroom-level Focuses on:Overall amount Processes/mechanisms for of engagementbecoming engaged Use:CompareUnderstand/Diagnose Institutionsa learning process

3. Classroom-based Survey Purposes: for instructors to use as a diagnostic tool (mid-, end-of-semester) for instructors to use as a diagnostic tool (mid-, end-of-semester) for researchers to study engagement processes for researchers to study engagement processes Definition: ‘ “learning task engagement” …refer[s] to students’ cognitive investment, active participation, and emotional engagement with specific learning tasks.’ (Chapman 2003) Survey Item Development: Theory/research literature –Motivated Strategies for Learning Questionnaire (MSLQ) (Pintrich et al, 1993); & psychological conditions of engagement at work (e.g., Kahn 1990) for affective engagement Theory/research literature –Motivated Strategies for Learning Questionnaire (MSLQ) (Pintrich et al, 1993); & psychological conditions of engagement at work (e.g., Kahn 1990) for affective engagement Instructors/teaching evaluations – Review material with instructors to see what information would be useful for designing/delivering course; adopted items from standard course evaluation forms Instructors/teaching evaluations – Review material with instructors to see what information would be useful for designing/delivering course; adopted items from standard course evaluation forms

3. Survey Content Background/Context for Course: Background/Context for Course:  Expected benefits from course  Demographics, First-generation college, Current work & family situation Perceptions of Classroom environment & course: Perceptions of Classroom environment & course:  Instructor  Course organization, reading materials, pace of course, etc.  Classmates Engagement: Engagement:  Motivations and attitudes (MSLQ subsets)  Learning strategies used by students (MSLQ subsets)  Time & study environment mgt (MSLQ subsets)  Affective engagement & identity (conditions for psychological engagement at work, bonds/fit with class & course) Open ended: student comments about the course & suggested improvements Open ended: student comments about the course & suggested improvements

4. Pilot-testing of Survey IRB Approval obtained from Norco College and UI IRB Approval obtained from Norco College and UI Sample: Sample:  Norco College – 3 courses (Business, English, Psychology), 10 instructors, ~ 200 students (77 respondents so far)  University of Iowa, College of Medicine – 1 class (anatomy), 1 instructor, 150 students (survey just distributed) Survey Administered via SurveyMonkey – offered to provide students with customized report on their learning strategies Survey Administered via SurveyMonkey – offered to provide students with customized report on their learning strategies Analysis: Analysis:  Descriptive results  Measurement (Rasch models to screen items/persons; CFA)  Relationships (Methods depend on the measurement analysis)

4. Respondents from Norco College (n=77) Demographics Gender: 70% women, 30% men Gender: 70% women, 30% men Age: mean =26.5, standard dev. =10.5, (min=17, max=60) Age: mean =26.5, standard dev. =10.5, (min=17, max=60) Race/eth: 41% Latino, 12% Asian, 36% White, 3% African-American Race/eth: 41% Latino, 12% Asian, 36% White, 3% African-American Mother’s Ed: 53% HS grad or less, 40% some college or more Mother’s Ed: 53% HS grad or less, 40% some college or more Father’s Ed: 44% HS grad or less, 42% some college or more Father’s Ed: 44% HS grad or less, 42% some college or more Current Situation Outside work: 36% none, part-time 37%, full-time 27% Outside work: 36% none, part-time 37%, full-time 27% Class load: 50% part-time, 50% full-time students Class load: 50% part-time, 50% full-time students # of Children: 70% none, 20% 1-2 children, 10% 3+ children # of Children: 70% none, 20% 1-2 children, 10% 3+ children Responses by Course: English – 62%; Psychology – 20%; Business – 18% Responses by Course: English – 62%; Psychology – 20%; Business – 18%

4. Initial Look at the Reliabilities of the Measures Background/Context for Course: Background/Context for Course:  Expected benefits from course (5 items, alpha =.84) Perceptions of Classroom Environment & Course: Perceptions of Classroom Environment & Course:  Instructor (11 items, alpha =.92)  Course organization (10 items, alpha =.92)  Classmates (8 items, alpha=.86) Engagement: Engagement:  Motivations and attitudes (5 MSLQ subscales)  Learning strategies used by students (5 MSLQ subscales)  Time & study environment mgt (4 MSLQ subscales)  Affective engagement & identity (9 items, alpha=.84)

4. Reliabilities of the Measures (Cont’d) MSLQ Engagement Measures: MSLQ Engagement Measures:  Motivations and Attitudes: internal goal orientation, task value, control of learning beliefs, self-efficacy for learning, test anxiety  Learning Strategies: rehearsal, elaboration, organization, critical thinking, meta-cognitive self- regulation  Resource Management: time and study environment, effort regulation, peer learning, help- seeking Scales in gold font alpha >.73; Scales in white font alpha.73; Scales in white font alpha <.73 Underlined scales: alpha <.73 in MSLQ’s validation study

4. Next Steps in Pilot Study Finish data collection Finish data collection Refine measures with Rasch model and Confirmatory Factor analyses: reduce number of items on new scales and examine the MSLQ scales (5 of 14 with low reliabilities) Refine measures with Rasch model and Confirmatory Factor analyses: reduce number of items on new scales and examine the MSLQ scales (5 of 14 with low reliabilities) (Does the same measurement model hold for Norco & UI students?) (Does the same measurement model hold for Norco & UI students?) Examine relationships between: 1) types of engagement and 2) engagement and other variables (e.g., students’ perception of classroom environment & course, expected benefits from the course) Examine relationships between: 1) types of engagement and 2) engagement and other variables (e.g., students’ perception of classroom environment & course, expected benefits from the course) Discuss results with instructors – useful information? Discuss results with instructors – useful information?

Contact Information: Rick D. Axelson, PhD ( ) Assistant Professor, University of Iowa, College of Medicine, Office of Consultation and Research in Medical Education Arend Flick, PhD ( ) Professor of English, Faculty Development Coordinator, Norco College