Analyzing User Engagement in a Fraction Learning App for Elementary Students

Fractions are a crucial part of mathematics education, but their abstract nature and complex operations often pose significant challenges for elementary students, potentially leading to future academic difficulties. To address this issue, a study was conducted to develop and implement a Fraction Learning App to enhance fraction understanding among elementary students. Initial results indicated that students using the app significantly outperformed traditional methods, showing higher engagement and improved learning outcomes. Despite these positive results, there is a need to delve deeper into user behavior to optimize the app's effectiveness. Understanding which features and sub-features are most and least used and analyzing daily and hourly usage patterns can provide valuable insights. Additionally, segmenting users based on engagement levels can inform targeted interventions. This study addressed three key research questions: the usage patterns of app features, daily and hourly usage trends, and user engagement levels. Findings revealed that specific features were more engaging, usage peaked during certain times, and distinct user segments exhibited different engagement characteristics. These insights are critical for refining the app, ensuring it meets diverse student needs, and enhancing educational outcomes. Future research should explore long-term impacts, scalability, and additional technological integrations to improve learning experiences further.

Authors

Institutions

Publication Details

Published
2024-09-26
DOI
https://doi.org/10.1109/eecsi63442.2024.10776077
Primary Topic
Educational Methods and Media Use
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analyzing User Engagement in a Fraction Learning App for Elementary Students

Irma Nuur Rochmah, Muhammad Irfan Luthfi, Nisa Dwi Septiyanti
Educational Methods and Media Use
article

Analyzing User Engagement in a Fraction Learning App for Elementary Students

Irma Nuur Rochmah, Muhammad Irfan Luthfi, Nisa Dwi Septiyanti
article en

Abstract

Fractions are a crucial part of mathematics education, but their abstract nature and complex operations often pose significant challenges for elementary students, potentially leading to future academic difficulties. To address this issue, a study was conducted to develop and implement a Fraction Learning App to enhance fraction understanding among elementary students. Initial results indicated that students using the app significantly outperformed traditional methods, showing higher engagement and improved learning outcomes. Despite these positive results, there is a need to delve deeper into user behavior to optimize the app's effectiveness. Understanding which features and sub-features are most and least used and analyzing daily and hourly usage patterns can provide valuable insights. Additionally, segmenting users based on engagement levels can inform targeted interventions. This study addressed three key research questions: the usage patterns of app features, daily and hourly usage trends, and user engagement levels. Findings revealed that specific features were more engaging, usage peaked during certain times, and distinct user segments exhibited different engagement characteristics. These insights are critical for refining the app, ensuring it meets diverse student needs, and enhancing educational outcomes. Future research should explore long-term impacts, scalability, and additional technological integrations to improve learning experiences further.

Yogyakarta State University (ID), University of Bunda Mulia (ID)
National Central University
Quality Education
Openalex Percentile: Top 64%
Educational Methods and Media Use
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.