Useful recommendations for successful implementation of programming courses

Binas, M.; Pietriková, Emília

doi:10.1109/iceta.2014.7107618

Cited by 6 publications

(4 citation statements)

References 10 publications

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“…Such an approach attracts student attention and makes knowledge transfer more effective. Moreover, if it is appropriately combined with other innovative methods [14], the overall result might be surprising.…”

Section: Resultsmentioning

confidence: 99%

AUDIENCE RESPONSE SYSTEMS: BENEFITS & UTILIZATION

Pietriková¹

2015

AEI

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The following article deals with Audience Response Systems (ARS). The main goal is to provide a survey on utilization possibilities of ARS in various forms, with a focus on particular advantages. The article is dedicated to those readers who interact with an audience or a larger group of people. Particular attention is paid to technologies available to construct one's own ARS, whether as a combination of existing and custom solutions, or only one's own solution. Separate part deals with an experimental comparison of two of the available technologies. Combination of Arduino and Java as a combination of hardware and software on one hand, and combination of PHP and web on the other hand. The conclusion includes an overall evaluation of the tested solutions.

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Section: Resultsmentioning

confidence: 99%

AUDIENCE RESPONSE SYSTEMS: BENEFITS & UTILIZATION

Pietriková¹

2015

AEI

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“…Nevertheless, presented approach can be applied in the following areas: Course or book profile (object profile based on subject profile, selection of the most useful course or book), candidate profile (subject profile based on object profile, what is required to be solved), skills profile and student assessment [23] (object profile based on subject profile, consisting of abilities necessary to solve some task), statistics (subject profile, frequency evaluation of a language construct indicating its difficulty), or complexity profile (complexity evaluation of a language construct or a library). Obviously, comparison of student profiles with each other may reveal plagiarism.…”

Section: Conclusion Remarksmentioning

confidence: 99%

Towards Programmer Knowledge Profile Generation

Pietriková¹,

Chodarev²

2016

AEI

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The following article deals with static analysis of source code in Java and it is intended for readers interested in techniques focused on evaluation of programming abilities of students or potential job candidates. The main objective of the static analysis is to collect the most relevant and significant data about programmers. If such data is properly visualized, it can result in knowledge profile which further determines programmer's real programming abilities as well as his habits. This can be useful mainly for impartial observer who does not know the code author. In the following article we present our first attempts to create and visualize knowledge profiles through static analysis and statistics regarding frequency of language elements. In perspective, the conclusion combines advanced techniques towards creation of more precise profiles as the future work.

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“…In our programming courses, we use an approach of programming custom computer games (Biňas & Pietriková, 2014). Generally, aspects of a programming language along with an individual game-related problems are dispensed gradually.…”

Section: The Arena Platformmentioning

confidence: 99%

“…With high numbers of attendees it is crucial to provide fast feedback and fair assessment of assignments, which is not possible to achieve without automation of the assessment process. The educational view on the evaluation of programming assignments is also discussed in a work of Biňas and Pietriková (2014) and Pietriková, Juhár, and Šťastná (2015).…”

Section: Introductionmentioning

confidence: 99%

Security Measures in Automated Assessment System for Programming Courses

Stastna¹,

Juhár²,

Binas³

et al. 2015

AIP

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A desirable characteristic of programming code assessment is to provide the learner the most appropriate information regarding the code functionality as well as a chance to improve. This can be hardly achieved in case the number of learners is high (500 or more). In this paper we address the problem of risky code testing and availability of an assessment platform Arena, dealing with potential security risks when providing an automated assessment for a large set of source code. Looking at students' programs as if they were potentially malicious inspired us to investigate separated execution environments, used by security experts for secure software analysis. The results also show that availability issues of our assessment platform can be conveniently resolved with task queues. A special attention is paid to Docker, a virtual container ensuring no risky code can affect the assessment system security. The assessment platform Arena enables to regularly, effectively and securely assess students' source code in various programming courses. In addition to that it is a motivating factor and helps students to engage in the educational process.

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Useful recommendations for successful implementation of programming courses

Cited by 6 publications

References 10 publications

AUDIENCE RESPONSE SYSTEMS: BENEFITS & UTILIZATION

AUDIENCE RESPONSE SYSTEMS: BENEFITS & UTILIZATION

Towards Programmer Knowledge Profile Generation

Security Measures in Automated Assessment System for Programming Courses

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