1x1 Trainer with Handwriting Recognition

1x1 Trainer with Handwriting Recognition

handwriting recognition

convolutional neural network

multiplication table

learning

children

mobile learning

Nowadays, computers and mobile devices play a huge role in our daily routines; they are used at work, for private purposes and even at school. Moreover, they are used as support for different kinds of activities and task, like for example, learning applications. The interaction of these applications with a computer is based on predefined input methods, whereas a touchscreen facilitates direct input via handwriting by using a finger or a pen.This paper deals with the invention of a mobile learning application, which is supposed to facilitate children’s learning of simple multiplication. The aim of this paper is to collect the data of children’ experiences using interactive handwriting on mobile devices. In order to gain this data, a school class of the school “Graz-Hirten” was tested and afterwards for evaluational purposes interviewed. The results of these usability tests have shown that children perceived handwriting via finger on screen as quite positive.

Rabko, Michael

Ebner, Martin

International Journal of Interactive Mobile Technologies (iJIM); Vol. 12 No. 2 (2018); pp. 69-79

1865-7923

International Association of Online Engineering (IAOE), Vienna, Austria

2018-03-29

Copyright (c) 2018 Martin Ebner, Michael Rabko

application/pdf

eng

info:eu-repo/semantics/article

info:eu-repo/semantics/publishedVersion

Peer-reviewed Article