EvalSeer: An Intelligent Gamified System for Programming Assignments Assessment

Nabil, Ramez; Mohamed, Nour Eldeen; Mahdy, Ahmed; Nader, Khaled; Essam, Shereen; Eliwa, Essam

doi:10.1109/miucc52538.2021.9447629

Cited by 9 publications

(2 citation statements)

References 27 publications

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“…Rezende Souza et al 19 trained a convolutional neural network on collected exercises and achieved an average accuracy of 74.9%. Nabil et al 20 introduced long-term and short-term memory into the evaluation system to perform code analysis to detect syntax errors. Srikant et al .…”

Section: Related Workmentioning

confidence: 99%

Graph semantic similarity-based automatic assessment for programming exercises

Xiang,

Wang,

Zhou

et al. 2024

Sci Rep

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This paper proposes an algorithm for the automatic assessment of programming exercises. The algorithm assigns assessment scores based on the program dependency graph structure and the program semantic similarity, but does not actually need to run the student’s program. By calculating the node similarity between the student’s program and the teacher’s reference programs in terms of structure and program semantics, a similarity matrix is generated and the optimal similarity node path of this matrix is identified. The proposed algorithm achieves improved computational efficiency, with a time complexity of $$O(n^2)$$ O ( n 2 ) for a graph with n nodes. The experimental results show that the assessment algorithm proposed in this paper is more reliable and accurate than several comparison algorithms, and can be used for scoring programming exercises in C/C++, Java, Python, and other languages.

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Section: Related Workmentioning

confidence: 99%

Graph semantic similarity-based automatic assessment for programming exercises

Xiang,

Wang,

Zhou

et al. 2024

Sci Rep

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“…EvalSeer gamified LMS implements a hybrid approach and use of gamification. EvalSeer aims to keep the students motivated and enable them to quickly and continuously develop their programming skills [17]. Cloud computing combined with virtual reality enables students to simulate physical presence [11].…”

Section: Introductionmentioning

confidence: 99%

Cloud Computing Technology and PBL Teaching Approach for a Qualitative Education in Line with SDG4

Airaj

2022

Sustainability

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This paper explores teaching–learning models in this period of the COVID-19 pandemic at Cadi Ayyad University (UCA). It investigates success conditions for e-learning quality education in higher education in line with SDG4, the 4th Sustainable Development Goal: “Ensure inclusive and quality education for all and promote lifelong learning”. This paper demonstrates that an approach of technology alongside teaching could positively impact academic teaching–learning in higher educational systems, leading to an approach focused on humans that aims to cultivate critical thinking, knowledge creation, argumentation, and creativity. This paper concludes with a proposed machine learning model to predict contribution factors to student learning success.

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