Revolutionizing Education System with Automatic Question Generation Using Rule Based Method

The current research aimed at creating a rule-based method for forming Wh- and Yes/No-type questions based on textual input. The study uses the rule-based method to automatically create Wh- and Yes/No-questions. The approach is based on the syntactic analysis of input sentences to identify the corresponding question forms to be used and apply certain rules for each type. For the proposed method, the achieved accuracy is 82. 20% in generating Wh- and Yes/No-type questions. The findings suggest that the rule-based approach produces appropriate questions corresponding to intervention aims, including checking for understanding and encouraging critical thinking. Such a method may be more effective than many other approaches that are currently used in practice in terms of ease, efficiency, and relevance to education environments. That provides a rich solution that can meet the needs of educators and students alike.

Authors

Publication Details

Journal
Journal of Information Systems Engineering & Management
Published
2025-03-04
DOI
https://doi.org/10.52783/jisem.v10i15s.2497
Primary Topic
Educational Technology and Assessment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Revolutionizing Education System with Automatic Question Generation Using Rule Based Method

Sanah Nashir Sayyed
Journal of Information Systems Engineering & Management
Educational Technology and Assessment
article

Revolutionizing Education System with Automatic Question Generation Using Rule Based Method

Sanah Nashir Sayyed
article en

Abstract

The current research aimed at creating a rule-based method for forming Wh- and Yes/No-type questions based on textual input. The study uses the rule-based method to automatically create Wh- and Yes/No-questions. The approach is based on the syntactic analysis of input sentences to identify the corresponding question forms to be used and apply certain rules for each type. For the proposed method, the achieved accuracy is 82. 20% in generating Wh- and Yes/No-type questions. The findings suggest that the rule-based approach produces appropriate questions corresponding to intervention aims, including checking for understanding and encouraging critical thinking. Such a method may be more effective than many other approaches that are currently used in practice in terms of ease, efficiency, and relevance to education environments. That provides a rich solution that can meet the needs of educators and students alike.

Journal of Information Systems Engineering & ManagementVol. 10(15s)
Openalex Percentile: Top 95%
Educational Technology and Assessment
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.