Towards the Development of Detection of Learned Helplessness in Mathematics: Design and Data Collection Challenges from a Developing Country Perspective
John Paul P. Miranda, Rex P. Bringula, Laharni S. Simpao, Jordan L. Salenga, Juvy C. Grume, Madilaine Claire B. Nacianceno, Lester G. Loyola, Jaymark A. Yambao

TL;DR
This paper discusses the challenges faced in designing and collecting data for a web-based tutoring system aimed at detecting learned helplessness in students within a developing country context, highlighting environmental and logistical hurdles.
Contribution
It documents specific design and data collection challenges encountered in deploying an educational web app in resource-constrained settings for behavioral analysis.
Findings
Limited participant eligibility due to logistical constraints
Environmental disruptions impacted data collection efforts
Design features included hints, problem sequencing, and game modes
Abstract
This study investigates the challenges in designing, data collection, and implementation of a web-based Tutoring System (TS) for teaching linear equations within a developing country context. Originally designed as an Android app, the system was redeveloped as a web application to facilitate cross-platform access and data collection. This redesign enabled enhanced tracking through interaction logs and included features like problem skipping, hints, difficulty-based problem sequencing, and game modes with adaptable progression (e.g., easy-to-hard, hard-to-easy). The main objective was to document the design and data collection challenges encountered in data collection for the development of a model capable of detecting learned helplessness in students' behaviors while using a web application for solving linear equation. Challenges included outdated devices, unreliable internet, and…
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