Developing a mobile science tutoring system for grade school children that evaluates student engagement through gaze and behaviour

Date of Publication

2013

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Computer Science

Subject Categories

Computer Sciences

College

College of Computer Studies

Department/Unit

Computer Science

Thesis Adviser

Merlin Suarez

Defense Panel Member

Rhia Trogo
Rafael Cabredo

Abstract/Summary

The research built around the existing system, Environmental Awareness Learning System, has cited several limitation that this new iteration, EARLS2, wishes to answer. The first issue is that because the lesson content of the EALS System was found to be too easy in terms of difficulty, the researchers were not able to come to a solid conclusion in measuring the systems ability to reengage the student with their interventions. Following the zone of flow theory which states that there must be a right amount of difficulty in learning new material and answering challenging exercises, the researchers chose to add a new module of more difficult lessons to challenge the students more and to be able to induce disengagement from the students so redirecting their engagement can be possible and measurable. Secondly, the previous system also cites the lack of using visual context as modality in the evaluation of engagement. According to DMellos paper on his system Gaze tutor, making the learning system gaze-reactive bore results of improvement in students, deep level comprehension. Another paper by Ishii et. al. furthers this theory by discovering a positive correlation between the duration-based estimation of a persons gaze and his level of engagement. Following this, the researchers have chosen to add gaze tracking as modality in determining the engagement of the student. Lastly, the researchers have ported the system into a mobile device, specifically the iPad, for the convenience of the target users, DLSZ Grade 3 Science students, who regularly use iPads as a supplementary learning medium. This document will serve as the elaboration of the new systems design and implementation and design decisions made by the researchers, as well as the methodology of evaluating the applications effectiveness in tracking and redirecting engagement as well as user acceptance and the analysis of the results of this evaluation.

Abstract Format

html

Language

English

Format

Print

Accession Number

TU18489

Shelf Location

Archives, The Learning Commons, 12F, Henry Sy Sr. Hall

Physical Description

1 v. (various foliations) : illustrations (some colored) ; 28 cm. + ; user manual and technical manual.

Keywords

Intelligent tutoring systems; Science--Tutors and tutoring; Mentoring in education

Embargo Period

11-23-2021

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