| 000 -LEADER |
|---|
| fixed length control field |
02284nam a22002417a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
FT8863 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20251209131604.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
251209b ||||| |||| 00| 0 eng d |
| 041 ## - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
engtag |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
T58.6 D66 2025 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
. |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Domingo, Sophia Kaye G.; Dominguez, Clarissa V.; Espeño, Stephen E. |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
ABCiFy: Enhancing Alphabet Learning through image classification using convolutional neural network |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
. |
| Name of producer, publisher, distributor, manufacturer |
. |
| Date of production, publication, distribution, manufacture, or copyright notice |
c2025 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Other physical details |
Capstone Project: (Bachelor of Science in Information Technology) - Pamantasan ng Lungsod ng Maynila, 2025 |
| 336 ## - CONTENT TYPE |
|---|
| Source |
text |
| Content type term |
text |
| Content type code |
text |
| 337 ## - MEDIA TYPE |
|---|
| Source |
unmediated |
| Media type term |
unmediated |
| Media type code |
unmediated |
| 338 ## - CARRIER TYPE |
|---|
| Source |
volume |
| Carrier type term |
volume |
| Carrier type code |
volume |
| 505 ## - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
ABSTRACT: Traditional methods of teaching the alphabet often struggle to maintain young children’s engagement and typically lack auditory and interactive assessment features, thereby limiting their effectiveness in supporting simultaneous learning. This study introduces ABCify, a web-based alphabet leaning system designed for children aged three to six. ABCiFy integrates Convolutional Neural Network (CNN) technology for image classification, Text-to-Speech (TTS) functionality to aid pronunciation, and an interactive quiz component for real-time assessment and reinforcement. Developed using the Agile methodology, the system was iteratively refined to align with defined functional requirements. Evaluation results indicate that the CNN model achieved an accuracy of 85% in object classification and alphabet association. The TTS feature effectively supported pronunciation learning, while the quiz component facilitated the validation of children’s progress in alphabet recognition. These findings suggest that ABCiFy has the potential to transform traditional alphabet learning into a more engaging, multi-sensory educational experience. Future work will focus on enhancing the CNN model’s accuracy, expanding the object database to support broader learning contexts, implementing a color-coded indicator in the Progress Tracker to visually represent performance levels, and incorporating visual records of quiz responses to promote reflective learning and error analysis. |
| 526 ## - STUDY PROGRAM INFORMATION NOTE |
|---|
| Classification |
Filipiniana |
| 655 ## - INDEX TERM--GENRE/FORM |
|---|
| Genre/form data or focus term |
academic writing |
| 942 ## - ADDED ENTRY ELEMENTS |
|---|
| Source of classification or shelving scheme |
|
| Item type |
Thesis/Dissertation |