A Deep Dive into a Groundbreaking Approach to Machine Learning-Powered E-Learning
Information retrieval aims to find the most important data for specific queries. The challenge is retrieving relevant data efficiently due to the large search area. Existing solutions lead to unnecessary processing costs. Additionally, identifying the main focus of the query is crucial for targeted...
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| Format: | Article |
| Language: | English |
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Politeknik Elektronika Negeri Surabaya
2024-12-01
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| Series: | Emitter: International Journal of Engineering Technology |
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| Online Access: | https://emitter2.pens.ac.id/ojs/index.php/emitter/article/view/855 |
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| author | Subhabrata Sengupta Rupayan Das Satyajit Chakrabarti |
| author_facet | Subhabrata Sengupta Rupayan Das Satyajit Chakrabarti |
| author_sort | Subhabrata Sengupta |
| collection | DOAJ |
| description |
Information retrieval aims to find the most important data for specific queries. The challenge is retrieving relevant data efficiently due to the large search area. Existing solutions lead to unnecessary processing costs. Additionally, identifying the main focus of the query is crucial for targeted retrieval. Current methods struggle to address these issues effectively. To overcome these challenges, we have proposed a goal-question-indicator (GQI) approach for personalized learning inquiry (PLA). This approach allows for efficient retrieval of variable-sized data with reduced processing requirements. We have also presented the open learning analytics platform's (Open-LAP) pointer motor segment, which helps end users specify goals, generates discussion topics, and provides self-characterizing pointers.
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| format | Article |
| id | doaj-art-0016e65068f1428291a9275576dc970f |
| institution | Kabale University |
| issn | 2355-391X 2443-1168 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Politeknik Elektronika Negeri Surabaya |
| record_format | Article |
| series | Emitter: International Journal of Engineering Technology |
| spelling | doaj-art-0016e65068f1428291a9275576dc970f2025-01-30T11:15:38ZengPoliteknik Elektronika Negeri SurabayaEmitter: International Journal of Engineering Technology2355-391X2443-11682024-12-0112210.24003/emitter.v12i2.855A Deep Dive into a Groundbreaking Approach to Machine Learning-Powered E-LearningSubhabrata Sengupta0Rupayan Das1Satyajit Chakrabarti2University of Engineering & Management, IndiaUniversity of Engineering & Management, IndiaUniversity of Engineering & Management, India Information retrieval aims to find the most important data for specific queries. The challenge is retrieving relevant data efficiently due to the large search area. Existing solutions lead to unnecessary processing costs. Additionally, identifying the main focus of the query is crucial for targeted retrieval. Current methods struggle to address these issues effectively. To overcome these challenges, we have proposed a goal-question-indicator (GQI) approach for personalized learning inquiry (PLA). This approach allows for efficient retrieval of variable-sized data with reduced processing requirements. We have also presented the open learning analytics platform's (Open-LAP) pointer motor segment, which helps end users specify goals, generates discussion topics, and provides self-characterizing pointers. https://emitter2.pens.ac.id/ojs/index.php/emitter/article/view/855ICTInformation RetrievalKnowledge BaseLearner ModelLearning AnalyticsOpen Learning Analytics |
| spellingShingle | Subhabrata Sengupta Rupayan Das Satyajit Chakrabarti A Deep Dive into a Groundbreaking Approach to Machine Learning-Powered E-Learning Emitter: International Journal of Engineering Technology ICT Information Retrieval Knowledge Base Learner Model Learning Analytics Open Learning Analytics |
| title | A Deep Dive into a Groundbreaking Approach to Machine Learning-Powered E-Learning |
| title_full | A Deep Dive into a Groundbreaking Approach to Machine Learning-Powered E-Learning |
| title_fullStr | A Deep Dive into a Groundbreaking Approach to Machine Learning-Powered E-Learning |
| title_full_unstemmed | A Deep Dive into a Groundbreaking Approach to Machine Learning-Powered E-Learning |
| title_short | A Deep Dive into a Groundbreaking Approach to Machine Learning-Powered E-Learning |
| title_sort | deep dive into a groundbreaking approach to machine learning powered e learning |
| topic | ICT Information Retrieval Knowledge Base Learner Model Learning Analytics Open Learning Analytics |
| url | https://emitter2.pens.ac.id/ojs/index.php/emitter/article/view/855 |
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