Online Judge System and Its Applications in C Language Teaching

Wu, Huiting; Liu, Yanshen; Qiu, Lin; Liu, Yi

doi:10.1109/iset.2016.14

Cited by 17 publications

(8 citation statements)

References 6 publications

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“…Facial expression is one of the most powerful, natural, and universal signals for human beings to convey their emotional states and intentions regardless of national borders, race, and gender [1,2], and there were multitudinous related applications such as the health management [3], aided driving [4,5], and others [6][7][8][9]. In the earlier researches on facial expressions of emotion, Ekman and Friesen argued that human beings perceive certain basic emotions in the same way regardless of their cultural background, and they defined the typical facial expressions into 6 categories: anger, disgust, fear, happiness, sadness, and surprise [10,11].…”

Section: Introductionmentioning

confidence: 99%

Emotion Recognition of Students Based on Facial Expressions in Online Education Based on the Perspective of Computer Simulation

Wang

Niu

et al. 2020

Complexity

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Online education has developed rapidly due to its irreplaceable convenience. Under the severe circumstances caused by COVID-19 recently, many schools around the world have delayed opening and adopted online education as one of the main teaching methods. However, the efficiency of online classes has long been questioned. Compared with traditional face-to-face classes, there is a lack of direct, timely, and effective communication and feedback between teachers and students in the online courses. Previous studies have shown that there is a close and stable relationship between a person’s facial expressions and emotions generally. From the perspective of computer simulation, a framework combining a face expression recognition (FER) algorithm with online courses platforms is proposed in this work. The cameras in the devices are used to collect students’ face images, and the facial expressions are analyzed and classified into 8 kinds of emotions by the FER algorithm. An online course containing 27 students conducted on Tencent Meeting is used to test the proposed method, and the result proved that this method performs robustly in different environments. This framework can also be applied to other similar scenarios such as online meetings.

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Section: Introductionmentioning

confidence: 99%

Emotion Recognition of Students Based on Facial Expressions in Online Education Based on the Perspective of Computer Simulation

Wang

Niu

et al. 2020

Complexity

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“…The findings demonstrate that gamification in OJ creates a competitive and collaborative culture, which increases problem-solving skills in both fast and slow learners [14]. The results of a study show that learner ability and enthusiasm have improved in solving problems using the C language while using the OJ Platform [15]. Two research studies have also shown that practicing programming through POJ platforms improves learners' performance and problem-solving abilities more than existing learning approaches [16,17].…”

Section: Introductionmentioning

confidence: 89%

Context-Aware Practice Problem Recommendation Using Learners’ Skill Level Navigation Patterns

Ramesh¹,

Kannimuthu²

2023

Intelligent Automation &Amp; Soft Computing

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The use of programming online judges (POJs) has risen dramatically in recent years, owing to the fact that the auto-evaluation of codes during practice motivates students to learn programming. Since POJs have greater number of programming problems in their repository, learners experience information overload. Recommender systems are a common solution to information overload. Current recommender systems used in e-learning platforms are inadequate for POJ since recommendations should consider learners' current context, like learning goals and current skill level (topic knowledge and difficulty level). To overcome the issue, we propose a context-aware practice problem recommender system based on learners' skill level navigation patterns. Our system initially performs skill level navigation pattern mining to discover frequent skill level navigations in the POJ and to find learners' learning goals. Collaborative filtering (CF) and content-based filtering approaches are employed to recommend problems in the current and next skill levels based on frequent skill level navigation patterns. The sequence similarity measure is used to find the top k neighbors based on the sequence of problems solved by the learners. The experiment results based on the real-world POJ dataset show that our approach considering the learners' current skill level and learning goals outperforms the other approaches in practice problem recommender systems.

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“…Lee and Ko [20] applied a pretest-posttest investigation via using Codecademy and Gidget and suggest that using online tools in teaching and learning programming is successful and effective [20]. H. Wu, Liu, Qiu, and Liu [21] tested the efficiency of an online judge system in programming learning and found that the system increases the interest of student and the student ability to solve exercises. Also, learnability and think ability of student were developed.…”

Section: Online Programming Language Learningmentioning

confidence: 99%

Online Programming Language Learning Using Massive Open Online Courses in Saudi Universities

2021

IJETER

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Severalstudies stated that Computer Science (CS) students at Saudi Arabia universities face difficulties in programming languages learning (PLL) and need more assistance. Fortunately, Massive Open Online Courses (MOOCs) have been recognized as modern meansthat could be acceptable amongst CS learners. This piece of research aims to clarify the importance of enhancing PLL via MOOCs in Saudi Arabia. This research applied a quantitative research approach that utilized questionnaire as a research instrument. The survey was distributed among CS students to illustrate the current situation of the students’ need and acceptance of MOOCs on PLL. The investigation included 132 participants from different departments in the faulty of Computer Science (CS) at Umm Alqura University and Taif University in Saudi Arabia. The questionnaire results show that 98% believe that they need additional courses in PLL and 94% are accepting the idea of utilizing MOOCs on PLL, on the other hand, the results also show that 77% of the participants have not attended a single PLL course via MOOC. Other results and future research are discussed as wel

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Online Judge System and Its Applications in C Language Teaching

Cited by 17 publications

References 6 publications

Emotion Recognition of Students Based on Facial Expressions in Online Education Based on the Perspective of Computer Simulation

Emotion Recognition of Students Based on Facial Expressions in Online Education Based on the Perspective of Computer Simulation

Context-Aware Practice Problem Recommendation Using Learners’ Skill Level Navigation Patterns

Online Programming Language Learning Using Massive Open Online Courses in Saudi Universities

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