Next-Generation Programming Learning Platform: Architecture and Challenges

Watanobe, Yutaka; Intisar, Chowdhury Md; Cortez, Ruth; Vazhenin, Alexander

doi:10.1051/shsconf/20207701004

Cited by 19 publications

(9 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…As a result of the analysis, it was revealed that there is an invariant set of educational tools for any training (Kidd, 2020;Liu et al, 2020;Piteira et al, 2018;Smyk et al, 2020;Watanobe et al, 2020). Their usage has a fairly long history, plus over the past year, a large number of educational platforms and applications have been developed that can be applied or adapted to the educational process.…”

Section: Problem Statementmentioning

confidence: 99%

Formation Of Students’ Inventive Skills In Robotics Through Online Training

Luchaninov¹

2022

The European Proceedings of Social and Behavioural Sciences

View full text Add to dashboard Cite

The purpose of the study is to test the effectiveness of the students' inventive skills formation in online training in the basics of circuit engineering and robotics. The TinkerCAD Circuits modelling system is used for practical mastering of the circuit engineering principles, lecture and consulting events are implemented by tools of online communication Skype and YouTube broadcasts. The training is based on the principles of gradual complication of tasks and the teaching of the invention. The study was conducted at Sholom-Aleichem Priamursky State University in the 2020-2021 academic year. Two groups were selected for the study, the control group studied the basics of circuit design using prepared tasks of different levels, the experimental group used the TinkerCAD modelling system for training to form inventive skills. The results of the study showed the technique's effectiveness: the increase in the control group was only 13 per cent, while in the experimental group there was an increase of 42 per cent. During the study, an increase in students' interest in the performance of work was noted, attempts to independently improve working devices. Further improvement of the methodology may be associated with the adaptation of the developed system to an expanded range of training areas.

show abstract

Section: Problem Statementmentioning

confidence: 99%

Formation Of Students’ Inventive Skills In Robotics Through Online Training

Luchaninov¹

2022

The European Proceedings of Social and Behavioural Sciences

View full text Add to dashboard Cite

show abstract

“…All the problems are systematically categorized [54]. The AOJ's resources have been used for various research and application purposes [55] [56]. Recently, AOJ's dataset has been used in the IBM CodeNet Project [57].…”

Section: A Aizu Online Judge Systemmentioning

confidence: 99%

Impact of Practical Skills on Academic Performance: A Data-Driven Analysis

Rahman¹,

Watanobe

Kiran

et al. 2021

IEEE Access

Self Cite

View full text Add to dashboard Cite

Most academic courses in information and communication technology (ICT) or engineering disciplines are designed to improve practical skills; however, practical skills and theoretical knowledge are equally important to achieve high academic performance. This research aims to explore how practical skills are influential in improving students' academic performance by collecting real-world data from a computer programming course in the ICT discipline. Today, computer programming has become an indispensable skill for its wide range of applications and significance across the world. In this paper, a novel framework to extract hidden features and related association rules using a real-world dataset is proposed. An unsupervised k-means clustering algorithm is applied for data clustering, and then the frequent pattern-growth algorithm is used for association rule mining. We leverage students' programming logs and academic scores as an experimental dataset. The programming logs are collected from an online judge (OJ) system, as OJs play a key role in conducting programming practices, competitions, assignments, and tests. To explore the correlation between practical (e.g., programming, logical implementations, etc.) skills and overall academic performance, the statistical features of students are analyzed and the related results are presented. A number of useful recommendations are provided for students in each cluster based on the identified hidden features. In addition, the analytical results of this paper can help teachers prepare effective lesson plans, evaluate programs with special arrangements, and identify the academic weaknesses of students. Moreover, a prototype of the proposed approach and data-driven analytical results can be applied to other practical courses in ICT or engineering disciplines.

show abstract

“…Rahman et al (2020) proposed a sequential language model that uses an attention-mechanism-based LSTM neural network to assess and classify source code based on the estimated error probability. Other research activities and challenges which take advantage of OJ system to organise a learning ecosystem have been proposed in Watanobe et al (2020).…”

Section: Related Researchmentioning

confidence: 99%

Code completion for programming education based on deep learning

Terada

Watanobe

2021

IJCISTUDIES

Self Cite

View full text Add to dashboard Cite

In solving programming problems, it is difficult for beginners to create a program from scratch. One way to navigate this difficulty is to suggest the next word following an incomplete program. In the present study, we propose a method for code completion characterised by two principal elements: the prediction of the next within-vocabulary word and the prediction of the next referenceable identifier. For the prediction of within-vocabulary words, a neural language model based on an LSTM network with an attention mechanism is proposed. Additionally, for the prediction of referenceable identifiers, a model based on a pointer network to a given incomplete program is proposed. For evaluation of the proposed method, source code accumulated in an online judge system is used. The results of the experiment demonstrate that in both statically and dynamically typed languages, the proposed method can predict the next word to a high degree of accuracy.

show abstract

Next-Generation Programming Learning Platform: Architecture and Challenges

Cited by 19 publications

References 32 publications

Formation Of Students’ Inventive Skills In Robotics Through Online Training

Formation Of Students’ Inventive Skills In Robotics Through Online Training

Impact of Practical Skills on Academic Performance: A Data-Driven Analysis

Code completion for programming education based on deep learning

Contact Info

Product

Resources

About