Award Abstract # 0920341
WeBWorK: Improving Student Success in Mathematics

NSF Org: DUE
Division Of Undergraduate Education
Recipient: THE MATHEMATICAL ASSOCIATION OF AMERICA (INCORPORATED)
Initial Amendment Date: August 31, 2009
Latest Amendment Date: August 21, 2017
Award Number: 0920341
Award Instrument: Continuing Grant
Program Manager: Sandra Richardson
srichard@nsf.gov
 (703)292-4657
DUE
 Division Of Undergraduate Education
EDU
 Directorate for STEM Education
Start Date: September 1, 2009
End Date: August 31, 2018 (Estimated)
Total Intended Award Amount: $1,211,352.00
Total Awarded Amount to Date: $1,452,322.00
Funds Obligated to Date: FY 2009 = $230,670.00
FY 2010 = $251,640.00

FY 2011 = $479,465.00

FY 2013 = $490,547.00
History of Investigator:
  • Arnold Pizer (Principal Investigator)
    apizer@math.rochester.edu
  • Michael Gage (Co-Principal Investigator)
  • Douglas Ensley (Co-Principal Investigator)
  • Vicki Roth (Co-Principal Investigator)
  • John Wyatt (Co-Principal Investigator)
  • J Michael Pearson (Former Co-Principal Investigator)
  • Linda Braddy (Former Co-Principal Investigator)
  • Lloyd Douglas (Former Co-Principal Investigator)
Recipient Sponsored Research Office: Mathematical Association of America
11 DUPONT CIRCLE NW
WASHINGTON
DC  US  20036-1206
(202)387-5200
Sponsor Congressional District: 00
Primary Place of Performance: Mathematical Association of America
11 DUPONT CIRCLE NW
WASHINGTON
DC  US  20036-1206
Primary Place of Performance
Congressional District:
00
Unique Entity Identifier (UEI): TY44D55D6B65
Parent UEI:
NSF Program(s): CCLI-Type 3 (Comprehensive),
TUES-Type 3 Project
Primary Program Source: 04001314DB NSF Education & Human Resource
04001011DB NSF Education & Human Resource

04000910DB NSF Education & Human Resource

04001112DB NSF Education & Human Resource
Program Reference Code(s): SMET, 9178
Program Element Code(s): 749300, 751200
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.076

ABSTRACT

WeBWorK: Improving Student Success in Mathematics

Discipline: Mathematical Sciences (21)

This CCLI Phase 3 project, "WeBWorK: Improving Student Success in Mathematics," is updating, expanding, and enhancing one of the most used, freely-distributed, open source, online, mathematics homework systems. By providing students with immediate feedback about the validity of their answers and giving them the opportunity to correct mistakes while they are still thinking about the problem, WeBWorK is helping students stay on task and is increasing the effectiveness of student homework in the learning process. Using WeBWorK, students each receive individualized versions of problems, enabling instructors to encourage students to work together. Additionally, instructors can select different levels and types of questions for the students ranging from routine questions to more advanced interactive questions.

The Mathematical Association of America (MAA) is partnering with the developers of WeBWorK to create a permanent supportive home for WeBWorK, thus providing the mathematical sciences community with dependable, long-term access to WeBWorK while at the same time strengthening the on-going maintenance and development. The MAA is providing a hosting service for WeBWorK courses so professors can gain experience with WeBWorK without first having to have it installed at their home institutions. Additionally, WeBWorK is being integrated into more course management systems.

The project assessment team is investigating the impact of WeBWorK on student learning and evaluating the efficacy of the project's dissemination efforts. Furthermore, the MAA is expanding research into effective practices for the use of WeBWorK. Training workshops are providing faculty with the tools they need to make effective use of WeBWorK. Presentations and publications are exposing faculty to results from using WeBWorK for improving student learning in college mathematics.

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

WeBWorK, a freely-distributed open source online homework system, enhances the educational effectiveness of homework in mathematics, statistics and other STEM disciplines by providing students with immediate feedback about the validity of their answers and giving them the opportunity to correct mistakes while they are still thinking about the problem. The immediate feedback provided by WeBWorK keeps students on task and increases the effectiveness of student homework in the learning process. The system provides students with individualized versions of problems, so instructors can encourage students to work together, knowing that each student must develop an answer to his or her own version of the problem. Using WeBWorK, instructors can ask routine questions as well as more advanced interactive questions, and thus it surpasses other online homework systems whose flexibility in checking answers to questions is more limited. 

A major goal of the project was to triple the number of institutions using WeBWorK from about 150 at the begining of the project to 450.  We tripled the number and then tripled it again!   The site http://webwork.maa.org/wiki/WeBWorK_Sites lists over 1,350  institutions using WeBWorK.  These institutions include high schools, community colleges, colleges and universities mostly in the United States, but many in other countries. Many major universities (e.g. Michigan, Indiana, Ohio State, Utah, Missouri, Arizons State, UC schools, etc) have many thousands of students using WeBWorK every term.  The WeBWorK Open Problem Library contains over 37,500 homework questions covering most areas and levels in mathematics.  WeBWorK displays well on mobile devices, has many accessibility features, integrates well with LMS's, and works with the statistical package R.


Last Modified: 10/11/2018
Modified by: Arnold K Pizer

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