EDUFLOW : Students And Teachers Learning Webapp

EDUFLOW is an advanced, AI-powered educational management system designed to enhance the learning and teaching experience by integrating modern technologies with intelligent automation. The primary objective of the system is to simplify academic processes such as content creation, assessment generation, timetable management, and resource organization for both students and teachers. Traditional educational systems often face challenges such as time-consuming content preparation, lack of personalized learning support, and inefficient resource management. EDUFLOW addresses these issues by providing a centralized platform that leverages artificial intelligence to automate and optimize educational tasks. The system enables students to generate study materials, practice quizzes, and personalized timetables, helping them improve their learning efficiency and time management. At the same time, teachers can create quizzes, exams, and teaching schedules with minimal effort, reducing their workload and allowing them to focus more on effective teaching. One of the key features of EDUFLOW is its integration with AI models, which generate high-quality educational content such as multiple-choice questions, study notes, flashcards, and summaries based on user input. This significantly reduces manual effort and ensures the availability of diverse and up-to-date learning resources.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-01
DOI
https://doi.org/10.5281/zenodo.19205066
Primary Topic
Intelligent Tutoring Systems and Adaptive Learning
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

EDUFLOW : Students And Teachers Learning Webapp

Prathmesh Kore, Aryan Nandgaonkar, Om Dhamale, Mayur Godse et al.
Zenodo (CERN European Organization for Nuclear Research)
Intelligent Tutoring Systems and Adaptive Learning
article

EDUFLOW : Students And Teachers Learning Webapp

Prathmesh Kore, Aryan Nandgaonkar, Om Dhamale, Mayur Godse, Shital Kawale
article en

Abstract

EDUFLOW is an advanced, AI-powered educational management system designed to enhance the learning and teaching experience by integrating modern technologies with intelligent automation. The primary objective of the system is to simplify academic processes such as content creation, assessment generation, timetable management, and resource organization for both students and teachers. Traditional educational systems often face challenges such as time-consuming content preparation, lack of personalized learning support, and inefficient resource management. EDUFLOW addresses these issues by providing a centralized platform that leverages artificial intelligence to automate and optimize educational tasks. The system enables students to generate study materials, practice quizzes, and personalized timetables, helping them improve their learning efficiency and time management. At the same time, teachers can create quizzes, exams, and teaching schedules with minimal effort, reducing their workload and allowing them to focus more on effective teaching. One of the key features of EDUFLOW is its integration with AI models, which generate high-quality educational content such as multiple-choice questions, study notes, flashcards, and summaries based on user input. This significantly reduces manual effort and ensures the availability of diverse and up-to-date learning resources.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 12%
Intelligent Tutoring Systems and Adaptive Learning
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.