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Middle school students using Alice: what can we learn from logging data?

Authors:

Charlie McDowell,

Jill DennerAuthors Info & Claims

SIGCSE '13: Proceeding of the 44th ACM technical symposium on Computer science education

Pages 507 - 512

https://doi.org/10.1145/2445196.2445347

Published: 06 March 2013 Publication History

Abstract

There is growing interest in how we can use computer logging data to improve computational tools and pedagogies to engage children in complex thinking and self-expression, but our techniques lag far behind our theories. Only recently have learning scientists begun to measure, collect, analyze, and report how data informs the science of children's learning. In this paper, we describe our initial efforts towards developing tools to mine computer logging data for information on how to enhance learning opportunities. The data were collected as part of an NSF-funded project, and include logs from 320 middle school students using Alice to program computer games in semester-long courses. We describe some lessons learned and decisions made in the process of reconstructing high-level user actions in Alice from low-level Alice logs.

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Cited By

Kaur GJordan KKaur JDoyle MStephenson BDorn BSoh LBattestilli L(2023)Using Foundational CS1 Curricula for Middle School & Early High School Computer Programming EducationProceedings of the 54th ACM Technical Symposium on Computer Science Education V. 110.1145/3545945.3569877(827-833)Online publication date: 2-Mar-2023
https://dl.acm.org/doi/10.1145/3545945.3569877
Garcia DFries MBall MFox PGelosi DMock LDastur DBriccetti DKahn BDoyle MStephenson BDorn BSoh LBattestilli L(2023)BJC SparksProceedings of the 54th ACM Technical Symposium on Computer Science Education V. 110.1145/3545945.3569842(451-457)Online publication date: 2-Mar-2023
https://dl.acm.org/doi/10.1145/3545945.3569842
Guenaga MEguíluz AGaraizar PGibaja J(2021)How do students develop computational thinking? Assessing early programmers in a maze-based online gameComputer Science Education10.1080/08993408.2021.190324831:2(259-289)Online publication date: 13-Apr-2021
https://doi.org/10.1080/08993408.2021.1903248
Show More Cited By

Index Terms

Middle school students using Alice: what can we learn from logging data?
1. Applied computing
  1. Education
    1. Computer-managed instruction
2. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs
        Computer science education

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Published In

cover image ACM Conferences

SIGCSE '13: Proceeding of the 44th ACM technical symposium on Computer science education

March 2013

818 pages

ISBN:9781450318686

DOI:10.1145/2445196

Conference Chairs:
Tracy Camp
Colorado School of Mines
,
Paul Tymann
Rochester Institute of Technology
,
Program Chairs:
J. D. Dougherty
Haverford College
,
Kris Nagel
Georgia Gwinnett College

Copyright © 2013 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGCSE: ACM Special Interest Group on Computer Science Education

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Association for Computing Machinery

New York, NY, United States

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Published: 06 March 2013

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SIGCSE '13: The 44th ACM Technical Symposium on Computer Science Education

March 6 - 9, 2013

Colorado, Denver, USA

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SIGCSE '13 Paper Acceptance Rate 111 of 293 submissions, 38%;

Overall Acceptance Rate 1,595 of 4,542 submissions, 35%

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Cited By

Kaur GJordan KKaur JDoyle MStephenson BDorn BSoh LBattestilli L(2023)Using Foundational CS1 Curricula for Middle School & Early High School Computer Programming EducationProceedings of the 54th ACM Technical Symposium on Computer Science Education V. 110.1145/3545945.3569877(827-833)Online publication date: 2-Mar-2023
https://dl.acm.org/doi/10.1145/3545945.3569877
Garcia DFries MBall MFox PGelosi DMock LDastur DBriccetti DKahn BDoyle MStephenson BDorn BSoh LBattestilli L(2023)BJC SparksProceedings of the 54th ACM Technical Symposium on Computer Science Education V. 110.1145/3545945.3569842(451-457)Online publication date: 2-Mar-2023
https://dl.acm.org/doi/10.1145/3545945.3569842
Guenaga MEguíluz AGaraizar PGibaja J(2021)How do students develop computational thinking? Assessing early programmers in a maze-based online gameComputer Science Education10.1080/08993408.2021.190324831:2(259-289)Online publication date: 13-Apr-2021
https://doi.org/10.1080/08993408.2021.1903248
Eguiluz AGuenaga MGaraizar POlivares-Rodriguez C(2020)Exploring the Progression of Early Programmers in a Set of Computational Thinking Challenges via Clickstream AnalysisIEEE Transactions on Emerging Topics in Computing10.1109/TETC.2017.27685508:1(256-261)Online publication date: 1-Jan-2020
https://doi.org/10.1109/TETC.2017.2768550
Srinivas MRoy MSagri JKumar V(2018)Assessing Scratch Programmers’ Development of Computational Thinking with Transaction-Level DataTowards Extensible and Adaptable Methods in Computing10.1007/978-981-13-2348-5_30(399-407)Online publication date: 5-Nov-2018
https://doi.org/10.1007/978-981-13-2348-5_30
Clarke-Midura JAllan VClose KAlphonce CTims JCaspersen MEdwards S(2016)Investigating the Role of Being a Mentor as a Way of Increasing Interest in CSProceedings of the 47th ACM Technical Symposium on Computing Science Education10.1145/2839509.2844581(297-302)Online publication date: 17-Feb-2016
https://dl.acm.org/doi/10.1145/2839509.2844581
Ihantola PVihavainen AAhadi AButler MBörstler JEdwards SIsohanni EKorhonen APetersen ARivers KRubio MSheard JSkupas BSpacco JSzabo CToll DRagonis NKinnunen P(2015)Educational Data Mining and Learning Analytics in ProgrammingProceedings of the 2015 ITiCSE on Working Group Reports10.1145/2858796.2858798(41-63)Online publication date: 4-Jul-2015
https://dl.acm.org/doi/10.1145/2858796.2858798
Lewis CShah NDorn BSheard JCutts Q(2015)How Equity and Inequity Can Emerge in Pair ProgrammingProceedings of the eleventh annual International Conference on International Computing Education Research10.1145/2787622.2787716(41-50)Online publication date: 9-Jul-2015
https://dl.acm.org/doi/10.1145/2787622.2787716
Vihavainen ALuukkainen MIhantola PRutherfoord BLi LVan de Ven SSettle ASteinbach T(2014)Analysis of source code snapshot granularity levelsProceedings of the 15th Annual Conference on Information technology education10.1145/2656450.2656473(21-26)Online publication date: 14-Oct-2014
https://dl.acm.org/doi/10.1145/2656450.2656473
Romero CRomero JVentura S(2013)A Survey on Pre-Processing Educational DataEducational Data Mining10.1007/978-3-319-02738-8_2(29-64)Online publication date: 7-Nov-2013
https://doi.org/10.1007/978-3-319-02738-8_2

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