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Autor/inn/enWang, Tiantian; Su, Xiaohong; Ma, Peijun; Wang, Yuying; Wang, Kuanquan
TitelAbility-Training-Oriented Automated Assessment in Introductory Programming Course
QuelleIn: Computers & Education, 56 (2011) 1, S.220-226 (7 Seiten)Infoseite zur Zeitschrift
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0360-1315
DOI10.1016/j.compedu.2010.08.003
SchlagwörterForeign Countries; Feedback (Response); Program Effectiveness; Learning Experience; Computer Science Education; Programming; Computer Assisted Testing; Intelligent Tutoring Systems; Introductory Courses; College Instruction; Instructional Effectiveness; China
AbstractLearning 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. (Contains 5 figures and 1 table.) (As Provided).
AnmerkungenElsevier. 6277 Sea Harbor Drive, Orlando, FL 32887-4800. Tel: 877-839-7126; Tel: 407-345-4020; Fax: 407-363-1354; e-mail: usjcs@elsevier.com; Web site: http://www.elsevier.com
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2017/4/10
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