Gameplay Telemetry for a Block-based Programming Game

Principal Investigator(s):  View help for Principal Investigator(s) Gregory Chung, University of California-Los Angeles

Version:  View help for Version V1

Name File Type Size Last Modified
Algorithm - content and structure.pdf application/pdf 283.3 KB 10/30/2023 01:42:AM
Algorithm - optimal distance.pdf application/pdf 639 KB 10/28/2023 11:01:AM
background_2021.xlsx application/vnd.openxmlformats-officedocument.spreadsheetml.sheet 19.2 KB 10/29/2023 05:19:PM
codespark_codebook.xlsx application/vnd.openxmlformats-officedocument.spreadsheetml.sheet 60.7 KB 10/24/2023 05:04:PM
codespark_level_features_solutions.xlsx application/vnd.openxmlformats-officedocument.spreadsheetml.sheet 166.9 MB 10/30/2023 01:11:AM
pre-post_assessment_ct_features.xlsx application/vnd.openxmlformats-officedocument.spreadsheetml.sheet 57.7 KB 10/24/2023 05:05:PM
pre-post_data.xlsx application/vnd.openxmlformats-officedocument.spreadsheetml.sheet 288.8 KB 10/25/2023 06:42:AM
telemetry_2021.csv text/csv 77 MB 10/30/2023 01:10:AM

Project Citation: 

Chung, Gregory. Gameplay Telemetry for a Block-based Programming Game. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2023-12-08. https://doi.org/10.3886/E195666V1

Project Description

Summary:  View help for Summary
This project explored developing telemetry-based measures related to computational thinking (CT) processes of young children use as they used a game-based programming game, codeSpark Academy. Associations between CT processes and an external measure of CT, TechCheck, was also explored. 

The data file include: (a) codebook for the datasets; (b) raw telemetry; (c) ratings of each game level against CT processes; (d) game level solutions; (e) student background information; (f) pretest and posttest data; and (g) ratings of each game test items against CT processes


Funding Sources:  View help for Funding Sources Institute of Education Sciences, U.S. Department of Education (R305A190433)

Scope of Project

Subject Terms:  View help for Subject Terms games; educational assessment; telemetry; process data
Geographic Coverage:  View help for Geographic Coverage Los Angeles
Time Period(s):  View help for Time Period(s) 1/1/2021 – 12/31/2021
Collection Date(s):  View help for Collection Date(s) 1/1/2021 – 12/31/2021
Universe:  View help for Universe First grade (n = 37) and third grade (n = 36) students from a public charter school.
Data Type(s):  View help for Data Type(s) event/transaction data; observational data; other; survey data

Methodology

Response Rate:  View help for Response Rate
During winter 2021 and fall 2021, students from first and third grade were recruited (two classrooms per grade) at a charter school. Students came from socioeconomically disadvantaged families. 56% were English learners and 96% were of Hispanic or Latino ethnicity. The pretest was given one week before the students started playing codeSpark Academy. The intervention took place over the course of six weeks in which players were given six weekly lessons that illustrated the different computational constructs in context of the game levels. Students were encouraged to continue playing codeSpark Academy outside of class. One week after the intervention, the posttest was given.
Unit(s) of Observation:  View help for Unit(s) of Observation Students

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Published Versions

V1 [2023-12-08]

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