000			02753nam a22002297a 4500
003			FT8774
005			20251106110130.0
008			251106b ||||| |||| 00| 0 eng d
041			_aengtag
050			_aT58.6 C86 2025
082			_a.
100	1		_a Cunanan, Eldwin Emmanuel T.; Franco, Ma. Francheska L.; Gulapa, Kate Ysabelle I.
245			_aEasye: A digital learning platform for beginner’s writing companion with feedback analysis
264		1	_a. _b. _cc2025
336			_2text _atext _btext
337			_2unmediated _aunmediated _bunmediated
338			_2volume _avolume _bvolume
505			_aABSTRACT: In today’s digital era, many young learners and individuals with literacy challenges struggle to acquire basic writing skills due to traditional teaching methods that fail to sustain engagement and adapt to diverse learning needs. This study addresses the critical need for an innovative, accessible, interactive educational tool to enhance handwriting proficiency. The main objective of the research is to design and develop EasyE, a digital learning platform designed for young learners. The platform integrates machine learning for handwriting recognition, a feedback analysis system, and a progress tracking feature with engaging tasks to support skill improvement. To address this, the researchers design and develop EasyE, an intuitive digital learning platform that serves as a writing companion designed to the user’s needs. EasyE incorporates Optical Character Recognition (OCR) to convert handwritten input into digital data, optimizing data entry and enabling immediate and meaningful feedback. Demonstrated using Julyter Lab, the OCR system not only needs handwritten characters but also assesses handwritten quality for comprehensive evaluation. The platform’s feedback analysis feature, implemented in Visual Studio Code, evaluates writing accuracy through a scoring system that examines individual strokes and overall character formation. Additionally, EasyE, integrates recursive algorithms to deconstruct complex learning tasks into manageable steps, creating a personalized, gradually intensifying learning experience that maintains user engagement without causing cognitive overload. As a result, EasyE successfully combines advanced technologies to support learners at every stage of their writing journey, with testing showing notable improvements in writing quality, user engagement, and motivation, highlighting its potential as an effective educational tool. Incorporating interactive digital platforms like EasyE can significantly enhance early writing development and support literacy education through adaptive and engaging methods.
526			_aF
655			_aacademic writing
942			_2lcc _cMS
999			_c37037 _d37037