The Effective Use of Quicksort Visualizations in the Classroom Scott Grissom, Grand Valley State University Tom Naps, University of Wisconsin - Oshkosh.

Slides:



Advertisements
Similar presentations
Tegrity Student Survey Overview Fall 2010 Semester (results directly output from QuestionPro service)
Advertisements

1 The New Technology Internet Tablet PC (wireless) Projector (wireless) Router (wireless) Students/student groups (with laptops, handhelds, etc.)
In an attempt to streamline, provide much faster feedback to Deans and faculty, and significantly reduce the cost, student evaluations of faculty by course.
H.S. Physical Science Chapters 1 and 2
The WINSS School Improvement Planning Tool: An Overview.
Getting the Most Out of Online Homework Session S158 George Woodbury College of the Sequoias Visalia, CA.
Evaluating Online Tutorials for Data Structures and Algorithms Courses June 24, Simin Hall, PhD Mechanical Engineering Prof. Clifford A. Shaffer,
Methodology Student Course Performance with Objectives Based Assessment Todd A Zimmerman, Gabriel Hanna - University of Wisconsin-Stout Question: Does.
Hybrid Statistics Clicks Janet Winter Penn State Berks.
Supplemental Instruction & Tutoring Center for Student Achievement January 16, 2013.
Sakai Fall 2008 Sakai Student Survey Based on 100 responses.
Trials and Tribulations of Usability Testing by Scott Grissom1 Trials and Tribulations of Usability Testing Scott Grissom Grand Valley State University.
Graduate Student Satisfaction with an Online Discrete Mathematics Course Amber Settle, CTI, DePaul University joint work with Chad Settle, University of.
IT Student Survey 2009 Your name here. Overview Over 1,400 responses were received. Students across all faculties, nationalities and years were represented.
Pilot New Student Orientation. Today’s Roadmap Background Orientation as part a piece of the puzzle Orientation learning objectives Overview of the in-person.
Blended Courses: How to have the best of both worlds in higher education By Susan C. Slowey.
AP Statistics Introduction. Benefits of Statistics  Used in all different subject areas, especially: medicine, science, business, psychology, actuarial.
Evidence From Principles of Economics Courses Knowledge Retention and Online Course Work Neal H. OlitskySarah B. Cosgrove University of Massachusetts Dartmouth.
The Role of Automation in Undergraduate Computer Science Chris Wilcox Colorado State University 3/5/2015.
SENSE 2013 Findings for College of Southern Idaho.
Implementing Active Learning Strategies in a Large Class Setting Travis White, Pharm.D., Assistant Professor Kristy Lucas, Pharm.D., Professor Pharmacy.
Click-and-Think over Chalk-and-Talk: The New Pedagogy via Interactive Excel Spreadsheets in Mathematics and the Sciences Scott A. Sinex Department of Physical.
Cooking with CHEF Ingredients: What is CHEF? CompreHensive collaborativE Framework Open Sauce Course Management System from University of Michigan CompreHensive.
SDMAY02 Personal Effort James McCollum (leader) EE 180 hours Scott Seieroe EE 165 hours Josh Nielsen EE 165 hours Scott Keister (reporter) EE 120 hours.
Hybrid Courses: Some Random Thoughts on Expectations and Outcomes Martha Goshaw Seminole State College of Florida November 12, 2009.
CS6604 Spring 2012 Notes on Algorithm Visualization Clifford A. Shaffer Department of Computer Science Virginia Tech.
College Algebra: An Overview of Program Change Dr. Laura J. Pyzdrowski Dr. Anthony S. Pyzdrowski Dr. Melanie Butler Vennessa Walker.
Virtual Tutor for the 21 st - Century Cyber classroom By Dr. Joselina Cheng By Dr. Joselina Cheng IABPAD Dallas Conference April 26, 2008 April 26, 2008.
ENHANCING STUDENT ENGAGEMENT AND UNDERSTANDING THROUGH VIDEO LECTURES AND QUIZZING AMY RUTLEDGE, SPECIAL INSTRUCTOR OF MANAGEMENT INFORMATION SYSTEMS OAKLAND.
Adventures in flipping a cell biology course Dr. Katie Shannon Biological Sciences Missouri S&T Flipped Fridays.
Teaching Thermodynamics with Collaborative Learning Larry Caretto Mechanical Engineering Department June 9, 2006.
Aug. 9, 2007Gehringer: Improving Course Materials … Through Peer Review … Expertiza: Improving Course Materials and Learning Outcomes through.
A PARTIAL FLIP, A WHOLE TRANSFORMATION: REDESIGNING SOPHOMORE CIRCUITS Theresa M. Swift, Assistant Teaching Professor Barbara Wilkins, Instructional Designer.
Case Study: Redesign of an Online MIS Course to Include Multiple Learning Styles Gary Ury Northwest Missouri State University
Building an Online Educational Community for Algorithm Visualization Cliff Shaffer Virginia Tech Susan Rodger Duke University Tom Naps University of Wisconsin.
Learning Diversity in Online Education The survey findings of two researchers in online education.
Learning about Learning TQI Modeling Pilot. Start with a question How many university faculty does it take to change a light bulb? CHANGE ?????
Philip W. Young Dept. of Chemistry & Engineering Physics, University of Wisconsin-Platteville, Platteville, WI Correlation between FCI Gains and.
Redesign Alliance Conference Orlando, FL, March 19th, 2007 © 2007 by Gordon Hodge General Psychology is the largest of UNM’s 20 “killer”
Student-Rated Effectiveness of Virtual Learning as a Replacement Pedagogical Tool Is virtual learning less effective in higher education? Sufficient literature.
WRIT 1122 Faculty meeting September 23, Satisfaction with goals and features  The survey results showed that faculty are satisfied overall with.
GATEWAY INITIATIVE Hillsborough Community College Fall 2007 Preliminary Results A Formative Evaluation.
Final Report. WST 100 and WST 300 Large introductory course traditionally serving up to 2400 students a year in 18 sections With redesign we are able.
Evaluating Educational Technology Brian McNurlen & Chris Migotsky University of Illinois at Urbana-Champaign.
2013 Common Block Development Evaluation and Feedback February 26, 2014.
A Framework for Integrating Technology Mark Grabe.
How to use Algorithm Visualizations in Your Class Cliff Shaffer Virginia Tech Susan Rodger Duke University Tom Naps University of Wisconsin Oshkosh Steve.
The Use of Formative Evaluations in the Online Course Setting JENNIFER PETERSON, MS, RHIA, CTR DEPARTMENT OF HEALTH SCIENCES.
Reasons Behind the Positive Effects of Using Dynamic Computer Software in High School Mathematics Classrooms Rajee Amarasinghe, California State University,
These slides are for internal Bandera meetings and are not meant to be publicly disclosed. Bandera Meeting: Sept 9, 2001.
Teaching Business: BADM Major Requirements Six Foundational Courses BADM 101 Introduction to Business BADM 110 Foundations of Management BADM 226 Organizational.
Survey Results. Setting CS3114 during Fall, 2011 VT Lecture-based class Students had recently spent one week using our hashing tutorial in.
Banaras Hindu University. A Course on Software Reuse by Design Patterns and Frameworks.
PSYCH 610 Entire Course (UOP) For more course tutorials visit  PSYCH 610 Week 1 Individual Assignment Research Studies Questionnaire.
PSYCH 610 guide / psych610guidedotcom.  PSYCH 610 Week 1 Individual Assignment Research Studies Questionnaire  PSYCH 610 Week 2 Individual Assignment.
Innovative Applications of Formative Assessments in Higher Education Beyond Exams Dan Thompson M.S. & Brandy Close M.S. Oklahoma State University Center.
Responding to Mid-Semester Student Feedback Pew FTLC Fall Teaching Conference, August 21, 2013.
Blended Learning Strategies in a First- Year Engineering Program AMBER KEMPPAINEN, MICHIGAN TECHNOLOGICAL UNIVERSITY HOUGHTON, MI Keywords:
Grade Scale Quiz 3 Results: Average class score after partial credit: XX.X% Commonly missed questions: # ____________________ We will be going over some.
Project SPROUT Simple Protocol for Observing Undergraduate Teaching Lynn C. Reimer School of Education University of California, Irvine This material is.
Philip W. Young Dept. of Chemistry & Engineering Physics, University of Wisconsin-Platteville, Platteville, WI Correlation between FCI Gains and.
Scott Elliot, SEG Measurement Gerry Bogatz, MarketingWorks
Supporting Active Learning by Introducing an Interactive Teaching Tool in a Data Structures and Algorithms Course Tommy Färnqvist 47th ACM Technical Symposium.
The Flipped Classroom Approach
Exploring Geoscience Methods - InTeGrate Climate of Change - InTeGrate
Notetaking and Study Skills Syllabus
Theme 4 Describing Variables Numerically
GTECH 709 Criteria for evaluation
How Blended is your Moodle
ALEKS & College Algebra - A Journey to Finding the Best Model:
Presentation transcript:

The Effective Use of Quicksort Visualizations in the Classroom Scott Grissom, Grand Valley State University Tom Naps, University of Wisconsin - Oshkosh

The Effective Use of Quicksort Visualizations in the Classroom Scott Grissom, Grand Valley State University Tom Naps, University of Wisconsin - Oshkosh

The Effective Use of Visualizations to Enhance Learning Scott Grissom, Grand Valley State University Tom Naps, University of Wisconsin - Oshkosh

Overview ITiCSE 2000 Survey Results ITiCSE 2002 Working Group A Few Demos Results Plans for the Future

2000 Survey Results 91 responses, 21 countries 92% use static visualizations at least weekly 33% use dynamic visualizations at least weekly Many faculty noted the amount of time required to use visualizations

Working Group Findings Six Levels of Enagement none passive viewing active responses manipulation constructing presenting

A Few Demos

Winter 2001 Study Two sections studied Quicksort on their own outside of class using the JHAVE visualization framework Extended Use group used the tool throughout the semester including an online quiz about Quicksort Limited Use group used the tool only to study quicksort

Dependent Variables final exam questions How well did the tool help you learn? poor (1) - excellent (5) Describe your experience using the tool very difficult (1) - very easy (5)

Extended Use Students scored higher on the final exam questions (17.2 vs 9.6) rated the learning effectiveness higher (3.9 vs 2.1) rated the usability higher (3.7 vs 2.3)

Therefore…. Students receive more benefits from a visualization after spending more time with it.

Winter 2002 We compared None, Passive Viewing and Active Response. Active Response group showed significant improvement in a post-test compared to the None group

Fall 2002 We are comparing Manipulation with Manipulation / Constructing

Conclusions Simply showing a passive visualization in lecture may not be very effective Integrate the tool into the course to be more effective Encourage students to use the tool on a regular and meaningful basis

What’s Next? NSF CCLI - EMD grant Continue empirical studies Focus on ‘how’ to use visualizations Develop ‘plug and play’ resources printed study guides interactive visualizations online quiz facilities