E-Learning Student Assistance Model for the First Computer Programming Course

Hasany, Noman

doi:10.5121/ijite.2017.6101

Cited by 4 publications

(2 citation statements)

References 10 publications

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“…Dobesova et al [8] presented an open portal of eLearning for programming including visual programming languages. Hasany et al [9] devised eLearning for the first computer programming course, including tutoring and assessment. Estévez et al [10] implemented program coding scaffoldings to teach and experiment with some basic mechanisms of AI systems to high school students using Scratch.…”

Section: Work On Elearning Systems For Programming Languagesmentioning

confidence: 99%

GPT-Empowered Personalized eLearning System for Programming Languages

Jin,

Kim

2023

Applied Sciences

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The eLearning approach to programming language instruction has gained widespread acceptance due to advantages such as accessibility, temporal flexibility, and content reusability. However, the current eLearning for programming predominantly employs the delivery of one-size-fits-all content, engendering elevated costs in both the development of language coursework and administration of eLearning sessions, which includes the labor-intensive task of grading student submissions. A compelling research question to consider is how to construct an eLearning system capable of delivering personalized, student-centric content, automating the generation of coursework elements, and eliminating the need for instructor involvement in the management of eLearning sessions. Our approach to delivering a definite solution to the question involves the utilization of a suite of advanced software technologies: GPT to dynamically generate course contents/components, prompt engineering to personalize course content for each individual student, and autonomous computing to manage eLearning sessions without the need for human intervention. The research results encompass the design of an eLearning framework covering all programming languages, a fully functional Python-based implementation, seamless integration with ChatGPT for dynamic content generation, a high degree of content personalization, and the elimination of manual effort required for managing eLearning sessions.

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Section: Work On Elearning Systems For Programming Languagesmentioning

confidence: 99%

GPT-Empowered Personalized eLearning System for Programming Languages

Jin,

Kim

2023

Applied Sciences

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“…In Hasany (2017), Hasany presented an e-learning system called c-Learn. Students can use it anywhere and at any time as a web application to cope up with the problem that as more lessons are covered, the weak students become weaker in programming.…”

Section: Related Workmentioning

confidence: 99%

A proposal of recommendation function for element fill-in-Blank problems in java programming learning assistant system

Wint

Funabiki

Syaifudin

et al. 2021

IJWIS

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Purpose To advance Java programming educations, the authors have developed a Web-based Java programming learning assistant system (JPLAS). It offers the element fill-in-blank problem (EFP) for novice students to study Java grammar and basic programming skills by filling in the missing elements in a source code. An EFP instance can be generated by selecting an appropriate code, and applying the blank element selection algorithm. As it is expected to cover broad grammar topics, a number of EFP instances have been generated. This paper aims to propose a recommendation function to guide a student solving the proper EFP instances among them. Design/methodology/approach This function considers the difficulty level of the EFP instance and the grammar topics that have been correctly answered by the student, and is implemented at the offline answering function of JPLAS using JavaScript so that students can use it even without the Internet connections. Findings To evaluate the effectiveness of the proposal, 85 EFP instances are prepared to cover various grammar topics, and are assigned to a total of 92 students in two universities in Myanmar and Indonesia to solve them using the recommendation function. Their solution results confirmed the effectiveness of the proposal. Originality/value The concept of the difficulty level for an EFP instance is newly defined for the proper recommendation, and the accuracy in terms of the average numbers of answer submission times among the students is verified.

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