article

Ability-training-oriented automated assessment in introductory programming course

Authors:

Kuanquan WangAuthors Info & Claims

Computers & Education, Volume 56, Issue 1

Pages 220 - 226

https://doi.org/10.1016/j.compedu.2010.08.003

Published: 01 January 2011 Publication History

Abstract

Learning to program is a difficult process for novice programmers. AutoLEP, an automated learning and assessment system, was developed by us, to aid novice programmers to obtain programming skills. AutoLEP is ability-training-oriented. It adopts a novel assessment mechanism, which combines static analysis with dynamic testing to analyze student programs. It not only helps students to sufficiently test the programs, but also evaluates whether the programs meet the specification or not. AutoLEP encourages students to find and work through bugs, by providing automatic syntactic and structural checking, and immediate detailed feedback. This can improve students' learning experience in programming and reduce the workload of the teaching staff. AutoLEP has been used in the C programming course at Harbin Institute of Technology and many other universities since 2004. The feedback on AutoLEP and its incorporation into the introductory programming course has been positive, both by students and teaching staff.

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Cited By

Zhang YPaquette LHu X(2024)Academic procrastination, incentivized and self-selected spaced practice, and quiz performance in an online programming problem systemComputers & Education10.1016/j.compedu.2024.105029214:COnline publication date: 1-Jun-2024
https://dl.acm.org/doi/10.1016/j.compedu.2024.105029
Sterbini ATemperini M(2024)Automated Analysis of Algorithm Descriptions Quality, Through Large Language ModelsGenerative Intelligence and Intelligent Tutoring Systems10.1007/978-3-031-63028-6_20(258-271)Online publication date: 10-Jun-2024
https://dl.acm.org/doi/10.1007/978-3-031-63028-6_20
Sterbini ATemperini M(2023)Q2A-II, a System to Support Peer Assessment on Homework: A Study on Four Years of UseEmerging Technologies for Education10.1007/978-981-97-4246-2_20(249-262)Online publication date: 26-Nov-2023
https://dl.acm.org/doi/10.1007/978-981-97-4246-2_20
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Ability-training-oriented automated assessment in introductory programming course
1. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs

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cover image Computers & Education

Computers & Education Volume 56, Issue 1

January, 2011

325 pages

ISSN:0360-1315

Issue’s Table of Contents

Copyright © Elsevier Ltd © 2010.

Publisher

Elsevier Science Ltd.

United Kingdom

Publication History

Published: 01 January 2011

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Cited By

Zhang YPaquette LHu X(2024)Academic procrastination, incentivized and self-selected spaced practice, and quiz performance in an online programming problem systemComputers & Education10.1016/j.compedu.2024.105029214:COnline publication date: 1-Jun-2024
https://dl.acm.org/doi/10.1016/j.compedu.2024.105029
Sterbini ATemperini M(2024)Automated Analysis of Algorithm Descriptions Quality, Through Large Language ModelsGenerative Intelligence and Intelligent Tutoring Systems10.1007/978-3-031-63028-6_20(258-271)Online publication date: 10-Jun-2024
https://dl.acm.org/doi/10.1007/978-3-031-63028-6_20
Sterbini ATemperini M(2023)Q2A-II, a System to Support Peer Assessment on Homework: A Study on Four Years of UseEmerging Technologies for Education10.1007/978-981-97-4246-2_20(249-262)Online publication date: 26-Nov-2023
https://dl.acm.org/doi/10.1007/978-981-97-4246-2_20
Wang TSantoso DWang KSu XLv Z(2020)Automatic Grading for Complex Multifile ProgramsComplexity10.1155/2020/32790532020Online publication date: 1-Jan-2020
https://dl.acm.org/doi/10.1155/2020/3279053
Al-Khalifa ADevlin M(2020)Evaluating a Peer Assessment Approach in Introductory Programming CoursesUnited Kingdom & Ireland Computing Education Research conference.10.1145/3416465.3416467(51-58)Online publication date: 3-Sep-2020
https://dl.acm.org/doi/10.1145/3416465.3416467
Scatalon LGarcia RBarbosa E(2020)Teaching Practices of Software Testing in Programming Education2020 IEEE Frontiers in Education Conference (FIE)10.1109/FIE44824.2020.9274256(1-9)Online publication date: 21-Oct-2020
https://dl.acm.org/doi/10.1109/FIE44824.2020.9274256
Medeiros RRamalho GFalcão T(2019)A Systematic Literature Review on Teaching and Learning Introductory Programming in Higher EducationIEEE Transactions on Education10.1109/TE.2018.286413362:2(77-90)Online publication date: 1-May-2019
https://dl.acm.org/doi/10.1109/TE.2018.2864133
Wang ZXu L(2019)Grading Programs Based on Hybrid AnalysisWeb Information Systems and Applications10.1007/978-3-030-30952-7_63(626-637)Online publication date: 20-Sep-2019
https://dl.acm.org/doi/10.1007/978-3-030-30952-7_63
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
Keuning HJeuring JHeeren B(2018)A Systematic Literature Review of Automated Feedback Generation for Programming ExercisesACM Transactions on Computing Education10.1145/323171119:1(1-43)Online publication date: 28-Sep-2018
https://dl.acm.org/doi/10.1145/3231711
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