still-developing motor skills and lesser experience with technology compared to most adults.

[start_dates] => Array ( [0] => 2016-08-08 15:00:00 ) [end_dates] => Array ( [0] => 2016-08-08 16:00:00 ) [where] => FENS L065 [headline] => [comments_count] => 0 [created] => 1470212670 [error] => [errorcode] => 0 ) --> MSc. Thesis Defense: Ali Emre İnal | Mühendislik ve Doğa Bilimleri Fakültesi
MSc. Thesis Defense: Ali Emre İnal
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  • MSc. Thesis Defense: Ali Emre İnal

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Computer Science and Engineering, MSc. Thesis, 2016


Thesis Jury

Prof. Dr. Berrin Yanıkoğlu (Thesis Advisor),

Assoc. Prof. Dr. Selim Balcısoy,

Assoc. Prof. Dr. Aytaç Göğüş



Date & Time: August 8th, 2016 –  3:00 PM

Place: Faculty of Engineering and Natural Sciences - L065

Keywords: Educational application, Child centered design, Handwriting recognition, Tablet computer, Android



Tablet computers have become a significant consumer technology by providing ​a ​more natural way of interaction via touch sensitive screens, compared to keyboard and mouse input. ​For this purpose, they are being used increasingly for education purposes, ​especially aimed for children. ​ ​In this thesis, an educational application ​based on handwriting recognition technologies is developed for 1st grade students. ​​The developed application ​lets teachers prepare online study material directly from text books that students write on and receive back a rich set of information such as timing​ and writing order, along with a student's completed homework. Arithmetic and linguistic exercises suitable for first grade curriculum ​are implemented into application. 

The thesis covers all aspects about designing and developing such an educational application, including: how to design a friendly and straightforward interface for children; how to prepare study material paralleling a variety of question types (matching, arithmetic, Turkish) found in elementary school education; and what applications would be most beneficial on the tablet platform. Besides the design and ​user ​interface ​issues, technical ​solutions are developed for how to ​implement sophisticated applications such as a Hidden Markov Model based recognizer on the Android platform​, and how to verify answers.


After the initial design, ​assessments are collected from first grade students on ​two separate occasions​ and​ the design of the application was ​iteratively improved to suit the ​young ​students’ needs​ who still-developing motor skills and lesser experience with technology compared to most adults.