Write2Code: Pen-Based Educational Tool for Java

Pedro Guillermo Feijoo-Garcia, Yu-Peng Chen, Shaghayegh Esmaeili, Yingbo Ma, Christina Gardner-McCune

Abstract


Java instruction generally involves the use of Integrated Development Envi-ronments (IDEs) to assist learners in understanding program structure and code syntax. However, the usage of IDEs can make learners’ understanding dependent on the computer, which makes it challenging for them to transi-tion to write their solutions by hand for programming assessments and cod-ing interviews. Research suggests that handwriting slows down learners’ thinking processes, helping them to better reflect on and engage in problem-solving contexts. We developed Write2Code, a handwriting-recognition ap-plication, to scaffold students’ learning of code syntax and logic by recog-nizing Java input from their handwritten text. In this paper, we present the tool’s architecture, features, and third-party technologies. We also describe how our design helps learners understand Java through an interface that promotes an unplugged experience with feedback similar to an IDE.

Keywords


Computing education; handwritten recognition; visual languages; instructional technologies; scaffolding

Full Text:

PDF


Copyright (c) 2021 Pedro Guillermo Feijoo-Garcia, Yu-Peng Chen, Shaghayegh Esmaeili, Yingbo Ma, Christina Gardner-McCune


International Journal of Emerging Technologies in Learning (iJET) – eISSN: 1863-0383
Creative Commons License
Indexing:
Scopus logo Clarivate Analyatics ESCI logo EI Compendex logo IET Inspec logo DOAJ logo DBLP logo Learntechlib logo EBSCO logo Ulrich's logo Google Scholar logo MAS logo