Internal Usability Testing of Automated Essay Feedback in an Intelligent Writing Tutor
Roscoe, Rod (University of Memphis) | Varner, Laura (University of Memphis) | Cai, Zhiqiang (University of Memphis) | Weston, Jennifer (University of Memphis) | Crossley, Scott (Georgia State University) | McNamara, Danielle (University of Memphis)
Research on automated essay scoring (AES) indicates that computer-generated essay ratings are comparable to human ratings. However, despite investigations into the accuracy and reliability of AES scores, less attention has been paid to the feedback delivered to the students. This paper presents a method developers can use to quickly evaluate the usability of an automated feedback system prior to testing with students. Using this method, researchers evaluated the feedback provided by the Writing-Pal, an intelligent tutor for writing strategies. Lessons learned and potential for future research are discussed.
May-18-2011
- Country:
- North America > United States
- Mississippi (0.04)
- Tennessee > Shelby County
- Memphis (0.04)
- New Jersey
- Mercer County > Princeton (0.04)
- Bergen County > Mahwah (0.04)
- Georgia > Fulton County
- Atlanta (0.04)
- California > San Diego County
- San Diego (0.04)
- North America > United States
- Genre:
- Research Report (0.68)
- Industry:
- Technology: