Computer Programming Practical Works Activities: From Human to Automatic Scoring

Computer Programming Practical Works Activities: From Human to Automatic Scoring

karima Boussaha, Amira Hanneche, Zakaria Chaoua
ISBN13: 9781668450277|ISBN10: 1668450275|ISBN13 Softcover: 9781668450291|EISBN13: 9781668450307
DOI: 10.4018/978-1-6684-5027-7.ch009
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MLA

Boussaha, karima, et al. "Computer Programming Practical Works Activities: From Human to Automatic Scoring." Virtual Technologies and E-Collaboration for the Future of Global Business, edited by Jingyuan Zhao and Joseph Richards, IGI Global, 2022, pp. 154-181. https://doi.org/10.4018/978-1-6684-5027-7.ch009

APA

Boussaha, K., Hanneche, A., & Chaoua, Z. (2022). Computer Programming Practical Works Activities: From Human to Automatic Scoring. In J. Zhao & J. Richards (Eds.), Virtual Technologies and E-Collaboration for the Future of Global Business (pp. 154-181). IGI Global. https://doi.org/10.4018/978-1-6684-5027-7.ch009

Chicago

Boussaha, karima, Amira Hanneche, and Zakaria Chaoua. "Computer Programming Practical Works Activities: From Human to Automatic Scoring." In Virtual Technologies and E-Collaboration for the Future of Global Business, edited by Jingyuan Zhao and Joseph Richards, 154-181. Hershey, PA: IGI Global, 2022. https://doi.org/10.4018/978-1-6684-5027-7.ch009

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Abstract

The most important cause to the difficulties many freshmen feel to learn programming is their lack of generic problem solving skills and programming debugging skills on their own. On this basis, this chapter introduces a new learner's self-assessment environment as CEHL. The proposed system helps the learner to take full responsibility for learning and completing his work by relying on him to correct his mistakes. CEHL developed so-called S_Onto_ALPPWA in its current second version allowing comparing learners' productions with those elaborated by the teacher. The authors conducted to analyze the effectiveness of two developed versions of an automated assessment scoring tool. Version 1 and Version 2 of this tool are detailed in authors previously published articles by comparing them with the expert scoring. So to achieve this objective, the researchers use a correlational research design to examine the correlations between S_Onto_ALPPWA and expert raters' performances.

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