Assessment process for programming assignments

Ala-Mutka, Kirsti; Järvinen, Hannu-Matti

doi:10.1109/icalt.2004.1357399

Cited by 60 publications

(23 citation statements)

References 7 publications

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“…Additionally, the student's code script must pass all tests to be considered successful. If the student answer and model answer do not match, the marker does not provide feedback and the student fails [20] [16]. Then, these systems give feedback on the student's solution which either passes or fails.…”

Section: Related Workmentioning

confidence: 99%

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A new marking technique in semi-automated assessment

Buyrukoğlu

Batmaz

Lock

2017

2017 12th International Conference on Computer Science and Education (ICCSE)

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Abstract-The number of students learning programming languages in higher education and secondary schools has substantially increased, especially in the last decade. The increasing number of (novice) programmers makes code script assessment more important. Thus, this study proposes a new marking technique based on a semi-automated assessment approach. It advocates providing detailed and consistent feedback for novice programmers based on formative assessment. An experiment was carried out to check the feasibility of the proposed marking technique. The initial results and findings show that this is a potentially valuable approach.

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Section: Related Workmentioning

confidence: 99%

“…The research also aims to reduce the marker's workload. The best assessment approach, in terms of providing consistent feedback, is the fully-automated system [16]. However, more detailed feedback can be provided using a human marker [17] [18].…”

Section: Introductionmentioning

confidence: 99%

A new marking technique in semi-automated assessment

Buyrukoğlu

Batmaz

Lock

2017

2017 12th International Conference on Computer Science and Education (ICCSE)

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“…Computer science educators have developed a number of methods to automatically test students' programming assignments (Ala-Mutka & Ja¨rvinen, 2004;Edwards, 2003;Higgins, Symeonidis, & Tsintsifas, 2002;Joy, Griffiths, & Boyatt, 2005;Saikkonen, Malmi, & Korhonen, 2001). Automatic assessment systems typically do black-box testing by comparing output of a student-made program with a model solution for a number of test cases.…”

Section: Introductionmentioning

confidence: 99%

Categorizing variations of student-implemented sorting algorithms

Taherkhani

Korhonen

Malmi

2012

Computer Science Education

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In this study, we examined freshmen students' sorting algorithm implementations in data structures and algorithms' course in two phases: at the beginning of the course before the students received any instruction on sorting algorithms, and after taking a lecture on sorting algorithms. The analysis revealed that many students have insufficient understanding of implementing sorting algorithms. For example, they include unnecessary swaps in their Insertion or Selection sort implementations resulting in more complicated and inefficient code. Based on the data, we present a categorization of these types of variations and discuss the implications of the results. In addition, we introduce an instrument to recognize these algorithms automatically. This is done in terms of white-box testing. Our aim is to develop an automatic assessment system to help teachers in the burden of marking students' assignments and give feedback to the students on their algorithmic solutions. We outline how the presented results can be used to develop the instrument further.

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“…Scott et al [12], Ala-Mutka [3], Ben Ari [5] and Ramadhan and du Boulay [9] are among those who have confirmed that visualization can increase programming comprehension. Animation tools have the ability to show the novice what is happening inside variables in the machine; as a result comprehension is enhanced.…”

Section: Review Of Program Visualization Techniquesmentioning

confidence: 99%

“…Recent attempts to introduce visualization as a technique for teaching programming have produced promising results [3], [4], [5]. However, most of the visualization techniques are still very much entangled with machine mechanisms.…”

Section: Introductionmentioning

confidence: 99%