research-article

Management, structures and tools to scale up personal advising in large programming courses

Authors:

Jaakko Kurhila,

Arto VihavainenAuthors Info & Claims

SIGITE '11: Proceedings of the 2011 conference on Information technology education

Pages 3 - 8

https://doi.org/10.1145/2047594.2047596

Published: 20 October 2011 Publication History

Abstract

We see programming in higher education as a craft that benefits from a direct contact, support and feedback from people who already master it. We have used a method called Extreme Apprenticeship (XA) to support our CS1 education. XA is based on a set of values that emphasize actual programming along with current best practices, coupled tightly with continuous feedback between the advisor and the student. As such, XA means one-on-one advising which requires resources. However, we have not used abundant resources even when scaling up the XA model. Our experiments show that even in relatively large courses (n = 192 and 147), intensive personal advising in CS1 does not necessarily lead to more expensive course organization, even though the number of advisor-evaluated student exercises in a course grew from 252 to 17420. A thorough comparison of learning results and organizational costs between our traditional lecture/exercise-based course model and XA-based course model is presented.

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Cited By

Malmi LHellas AIhantola PIsomöttönen VJormanainen IKilamo TKnutas AKorhonen ALaakso MLópez-Pernas SPoranen TSalakoski TSuhonen J(2023)Computing Education Research in FinlandPast, Present and Future of Computing Education Research10.1007/978-3-031-25336-2_16(335-372)Online publication date: 5-Jan-2023
https://doi.org/10.1007/978-3-031-25336-2_16
Rämö JLahdenperä JHäsä J(2020)The Extreme Apprenticeship MethodPRIMUS10.1080/10511970.2020.181833231:10(1106-1120)Online publication date: 24-Sep-2020
https://doi.org/10.1080/10511970.2020.1818332
Luxton-Reilly ASimon Albluwi IBecker BGiannakos MKumar AOtt LPaterson JScott MSheard JSzabo CRößling GScharlau B(2018)Introductory programming: a systematic literature reviewProceedings Companion of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education10.1145/3293881.3295779(55-106)Online publication date: 2-Jul-2018
https://dl.acm.org/doi/10.1145/3293881.3295779
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Index Terms

Management, structures and tools to scale up personal advising in large programming courses
1. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs
        Computer science education

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cover image ACM Conferences

SIGITE '11: Proceedings of the 2011 conference on Information technology education

October 2011

340 pages

ISBN:9781450310178

DOI:10.1145/2047594

General Chairs:
Bryan Goda
United States Military Academy
,
Edward Sobiesk
United States Military Academy
,
Program Chair:
Randy Connolly
Mount Royal University, Canada

Copyright © 2011 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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Published: 20 October 2011

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SIGITE' 11: ACM Special Interest Group for Information Technology Education Conference

October 20 - 22, 2011

New York, West Point, USA

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Overall Acceptance Rate 176 of 429 submissions, 41%

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Cited By

Malmi LHellas AIhantola PIsomöttönen VJormanainen IKilamo TKnutas AKorhonen ALaakso MLópez-Pernas SPoranen TSalakoski TSuhonen J(2023)Computing Education Research in FinlandPast, Present and Future of Computing Education Research10.1007/978-3-031-25336-2_16(335-372)Online publication date: 5-Jan-2023
https://doi.org/10.1007/978-3-031-25336-2_16
Rämö JLahdenperä JHäsä J(2020)The Extreme Apprenticeship MethodPRIMUS10.1080/10511970.2020.181833231:10(1106-1120)Online publication date: 24-Sep-2020
https://doi.org/10.1080/10511970.2020.1818332
Luxton-Reilly ASimon Albluwi IBecker BGiannakos MKumar AOtt LPaterson JScott MSheard JSzabo CRößling GScharlau B(2018)Introductory programming: a systematic literature reviewProceedings Companion of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education10.1145/3293881.3295779(55-106)Online publication date: 2-Jul-2018
https://dl.acm.org/doi/10.1145/3293881.3295779
Leinonen JLeppänen LIhantola PHellas ATenenberg JChinn DSheard JMalmi LTenenberg JMalmi L(2017)Comparison of Time Metrics in ProgrammingProceedings of the 2017 ACM Conference on International Computing Education Research10.1145/3105726.3106181(200-208)Online publication date: 14-Aug-2017
https://dl.acm.org/doi/10.1145/3105726.3106181
Leinonen JLongi KKlami AVihavainen AAlphonce CTims JCaspersen MEdwards S(2016)Automatic Inference of Programming Performance and Experience from Typing PatternsProceedings of the 47th ACM Technical Symposium on Computing Science Education10.1145/2839509.2844612(132-137)Online publication date: 17-Feb-2016
https://dl.acm.org/doi/10.1145/2839509.2844612
Ott CRobins AShephard K(2016)Translating Principles of Effective Feedback for Students into the CS1 ContextACM Transactions on Computing Education10.1145/273759616:1(1-27)Online publication date: 28-Jan-2016
https://dl.acm.org/doi/10.1145/2737596
Solitro UZorzi MPasini MBrondino M(2016)A “light” Application of Blended Extreme Apprenticeship in Teaching Programming to Students of MathematicsMethodologies and Intelligent Systems for Technology Enhanced Learning, 6th International Conference10.1007/978-3-319-40165-2_8(73-80)Online publication date: 26-May-2016
https://doi.org/10.1007/978-3-319-40165-2_8
Longi KLeinonen JNygren HSalmi JKlami AVihavainen AKinnunen PSheard J(2015)Identification of programmers from typing patternsProceedings of the 15th Koli Calling Conference on Computing Education Research10.1145/2828959.2828960(60-67)Online publication date: 19-Nov-2015
https://dl.acm.org/doi/10.1145/2828959.2828960
Ahadi ALister RHaapala HVihavainen ADorn BSheard JCutts Q(2015)Exploring Machine Learning Methods to Automatically Identify Students in Need of AssistanceProceedings of the eleventh annual International Conference on International Computing Education Research10.1145/2787622.2787717(121-130)Online publication date: 9-Jul-2015
https://dl.acm.org/doi/10.1145/2787622.2787717
Kurhila JVihavainen A(2015)A Purposeful MOOC to Alleviate Insufficient CS Education in Finnish SchoolsACM Transactions on Computing Education10.1145/271631415:2(1-18)Online publication date: 27-Apr-2015
https://dl.acm.org/doi/10.1145/2716314
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