Date of Award
6-2022
Document Type
Open Access
Degree Name
Bachelor of Science
Department
Computer Science
First Advisor
Aaron Cass
Keywords
Japanese kanji, freehand sketching, character recognition, stroke order, corrective feedback, natural languages, writing
Abstract
The focus of this research paper is to determine the correct time to provide corrective feedback to people who are learning how to write Japanese kanji. To do this, we developed a system that is able to recognize Japanese kanji that is handwritten onto an iPad screen and check for errors such as wrong stroke order. Previous research has achieved success in developing similar systems, but this project is unique because the research question involves the timing of corrective feedback. In particular, we are looking at whether immediate or delayed corrective feedback results in better learning.
Recommended Citation
Mulgrew, Phoenix, "Corrective Feedback Timing in Kanji Writing Instruction Apps" (2022). Honors Theses. 2574.
https://digitalworks.union.edu/theses/2574
Included in
Applied Linguistics Commons, Computational Linguistics Commons, First and Second Language Acquisition Commons, Graphics and Human Computer Interfaces Commons, Other Computer Sciences Commons
Rights Statement
