PhotoMAT: A Mobile Tool for Aiding in Student Construction of Research Questions and Data Analysis

Tia Renee Shelley; Chandan Dasgupta; Alexandra Silva; Leilah Lyons; Tom Moher

doi:10.1007/s10758-014-9235-3

PhotoMAT: A Mobile Tool for Aiding in Student Construction of Research Questions and Data Analysis

Tia Renee Shelley^*, Chandan Dasgupta, Alexandra Silva, Leilah Lyons, Tom Moher

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

4 Citations (Scopus)

Abstract

This paper presents a new mobile software tool, PhotoMAT (Photo Management and Analysis Tool), and students’ experiences with this tool within a scaffolded curricular unit—Neighborhood Safari. PhotoMAT was designed to support learners’ investigations of backyard animal behavior and works with image sets obtained using fixed-position field cameras (“camera traps”) that capture “bursts” of images in response to motion. PhotoMAT was designed to help learners emulate two ways wildlife researchers use camera traps: documenting wildlife diversity via the relative frequency of appearances of different species, and exploring species’ behavior.

Original language	English
Pages (from-to)	85-92
Number of pages	8
Journal	Technology, Knowledge and Learning
Volume	20
Issue number	1
DOIs	https://doi.org/10.1007/s10758-014-9235-3
Publication status	Published - Apr 2015
Externally published	Yes

Keywords

n/a OA procedure
Mobile education tools
Science education
Learner centered design

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10.1007/s10758-014-9235-3

Cite this

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abstract = "This paper presents a new mobile software tool, PhotoMAT (Photo Management and Analysis Tool), and students{\textquoteright} experiences with this tool within a scaffolded curricular unit—Neighborhood Safari. PhotoMAT was designed to support learners{\textquoteright} investigations of backyard animal behavior and works with image sets obtained using fixed-position field cameras (“camera traps”) that capture “bursts” of images in response to motion. PhotoMAT was designed to help learners emulate two ways wildlife researchers use camera traps: documenting wildlife diversity via the relative frequency of appearances of different species, and exploring species{\textquoteright} behavior.",

keywords = "n/a OA procedure, Mobile education tools, Science education, Learner centered design",

author = "Shelley, {Tia Renee} and Chandan Dasgupta and Alexandra Silva and Leilah Lyons and Tom Moher",

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AU - Dasgupta, Chandan

AU - Silva, Alexandra

AU - Lyons, Leilah

AU - Moher, Tom

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AB - This paper presents a new mobile software tool, PhotoMAT (Photo Management and Analysis Tool), and students’ experiences with this tool within a scaffolded curricular unit—Neighborhood Safari. PhotoMAT was designed to support learners’ investigations of backyard animal behavior and works with image sets obtained using fixed-position field cameras (“camera traps”) that capture “bursts” of images in response to motion. PhotoMAT was designed to help learners emulate two ways wildlife researchers use camera traps: documenting wildlife diversity via the relative frequency of appearances of different species, and exploring species’ behavior.

KW - n/a OA procedure

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KW - Science education

KW - Learner centered design

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JO - Technology, Knowledge and Learning

JF - Technology, Knowledge and Learning

IS - 1

ER -

PhotoMAT: A Mobile Tool for Aiding in Student Construction of Research Questions and Data Analysis

Abstract

Keywords

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