Person:
Freeman, Jason

Permanent Link
https://hdl.handle.net/1853/71266
Associated Organization(s)
Organizational Unit
ORCID
ArchiveSpace Name Record

Filters

2016 - 2020 2
2
1
2
1 1 1
2
2
Reset filters

Settings
search.filters.applied.f.isOrgUnitOfPublicationTitle: College of Design × Author: Magerko, Brian ×

Publication Search Results

Now showing 1 - 2 of 2
Thumbnail Image
Item

Promoting Intentions to Persist in Computing: An Examination of Six Years of the EarSketch Program

2020-01-21 , Wanzer, Dana Linnell , McKlin, Thomas (Tom) , Freeman, Jason , Magerko, Brian , Lee, Taneisha

Background and Context: EarSketch was developed as a program to foster persistence in computer science with diverse student populations. Objective: To test the effectiveness of EarSketch in promoting intentions to persist, particularly among female students and under-represented minority students. Method: Meta-analyses, structural equation modeling, multi-level modeling, and qualitative analyses were performed to examine how participation in EarSketch and other factors affect students’ intentions to persist in computing. Findings: Students significantly increased their intentions to persist in computing, g=.40[.25,54], but examination within just the five quasi-experimental studies did not result in a significant difference for students in EarSketch compared to students not in EarSketch, g=.08[-.07, .23]. Student attitudes towards computing and the perceived authenticity of the EarSketch environment significantly predicted intentions to persist in computing. Implications: Participation in computer science education can increase students’ intentions to persist in programming, and EarSketch is one such program that can aid in these intentions.

View
Thumbnail Image
Item

An interactive, graphical coding environment for EarSketch online using Blockly and Web Audio API

2016-04 , Mahadevan, Anand , Freeman, Jason , Magerko, Brian

This paper presents an interactive graphical programming environment for EarSketch, using Blockly and Web Audio API. This visual programming element sidesteps syntac- tical challenges common to learning text-based languages, thereby targeting a wider range of users in both informal and academic settings. The implementation allows seamless integration with the existing EarSketch web environment, saving block-based code to the cloud as well as exporting it to Python and JavaScript.

View