An AI-driven Approach for Tailoring Java Programming Instructions

AI and virtual assistants are transforming higher education by using digital tools to enhance teaching and learning in ways that go beyond traditional methods. These digital tools are not merely supplementary aids but are increasingly gaining popularity in educationalsetting offering innovative approaches that transcend conventional methods. In this research we introduce ByteBuddy a virtual assistant which assists instructors on Java instructions. ByteBuddy's framework is designed in a way to integrate easily into educational context. This study reveals the architecture of ByteBuddy, the process model that captured the behavior of students in the learning environment and the observation of its application in java instructions. By applying this study, we provide profound insights on how the effective use of ByteBuddy supplements the teaching practices and measure learning outcomes.

Authors

Institutions

Publication Details

Published
2025-02-05
DOI
https://doi.org/10.1109/idciot64235.2025.10914687
Citations
2
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
2.97
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An AI-driven Approach for Tailoring Java Programming Instructions

Gomathi Thiyagarajan, V. Vijayalakshmi
2 citations
Distributed and Parallel Computing Systems
2.97
article

An AI-driven Approach for Tailoring Java Programming Instructions

Gomathi Thiyagarajan, V. Vijayalakshmi
article en
2 citations

Abstract

AI and virtual assistants are transforming higher education by using digital tools to enhance teaching and learning in ways that go beyond traditional methods. These digital tools are not merely supplementary aids but are increasingly gaining popularity in educationalsetting offering innovative approaches that transcend conventional methods. In this research we introduce ByteBuddy a virtual assistant which assists instructors on Java instructions. ByteBuddy's framework is designed in a way to integrate easily into educational context. This study reveals the architecture of ByteBuddy, the process model that captured the behavior of students in the learning environment and the observation of its application in java instructions. By applying this study, we provide profound insights on how the effective use of ByteBuddy supplements the teaching practices and measure learning outcomes.

SRM Institute of Science and Technology (IN), CMR University (IN)
Openalex Percentile: Top 10%
Distributed and Parallel Computing Systems
2.97
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

An AI-driven Approach for Tailoring Java Programming Instructions — Gomathi Thiyagarajan, V. Vijayalakshmi · (2025) | TGRS Research Map | TGRS