Machine Learning Approach for the Design of an Assessment Outcomes Recommendation System
It is believed that the evaluation of the outcomes of the course, based on grades, is necessary to improve the teaching and learning process. Our research processes and workflows supported by AI utilize machine learning technology in order to interpret big data, analyze broad data sets and recognize...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , |
| منشور في: |
2021
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://ieeexplore.ieee.org/document/9677281 https://depot.sorbonne.ae/handle/20.500.12458/1264 |
| الوسوم: |
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| _version_ | 1857415064363991040 |
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| author | Abu Zitar, Raed |
| author2 | Fatime Al-Zahra Shaimaa Mounir Lamees Dalbah |
| author2_role | author author author |
| author_facet | Abu Zitar, Raed Fatime Al-Zahra Shaimaa Mounir Lamees Dalbah |
| author_role | author |
| dc.creator.none.fl_str_mv | Abu Zitar, Raed Fatime Al-Zahra Shaimaa Mounir Lamees Dalbah |
| dc.date.none.fl_str_mv | 2021 2022-03-28T07:04:48Z 2022-03-28T07:04:48Z |
| dc.identifier.none.fl_str_mv | https://ieeexplore.ieee.org/document/9677281 https://depot.sorbonne.ae/handle/20.500.12458/1264 10.1109/ACIT53391.2021.9677281 |
| dc.language.none.fl_str_mv | en |
| dc.relation.none.fl_str_mv | 2021 22nd International Arab Conference on Information Technology (ACIT) |
| dc.subject.none.fl_str_mv | Knowledge engineering Machine learning algorithms Education Neural networks Machine learning Predictive models Gain measurement |
| dc.title.none.fl_str_mv | Machine Learning Approach for the Design of an Assessment Outcomes Recommendation System |
| dc.type.none.fl_str_mv | Controlled Vocabulary for Resource Type Genres::text::conference object::conference proceedings |
| description | It is believed that the evaluation of the outcomes of the course, based on grades, is necessary to improve the teaching and learning process. Our research processes and workflows supported by AI utilize machine learning technology in order to interpret big data, analyze broad data sets and recognize associations with more reliably. The course learning outcomes will be assessed on the basis of QF-Emirates guidelines and use it to suggest teaching and learning measures. It will be used to determine courses learning results based on the empirical knowledge presented. We research and test the design of the right neural networks that achieves our goal. A modern algorithm was improvised for this reason. For our proposed recommendation system, a database program was created to store data and include details in the analysis of course learning outcomes. As a machine-learning system, the proposed approach is tested and results are competitive. |
| id | sorbonner_89050f22952281ede2cdc07c0f4553ea |
| identifier_str_mv | 10.1109/ACIT53391.2021.9677281 |
| language_invalid_str_mv | en |
| network_acronym_str | sorbonner |
| network_name_str | Sorbonne University Abu Dhabi repository |
| oai_identifier_str | oai:depot.sorbonne.ae:20.500.12458/1264 |
| publishDate | 2021 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Machine Learning Approach for the Design of an Assessment Outcomes Recommendation SystemAbu Zitar, RaedFatime Al-ZahraShaimaa MounirLamees DalbahKnowledge engineeringMachine learning algorithmsEducationNeural networksMachine learningPredictive modelsGain measurementIt is believed that the evaluation of the outcomes of the course, based on grades, is necessary to improve the teaching and learning process. Our research processes and workflows supported by AI utilize machine learning technology in order to interpret big data, analyze broad data sets and recognize associations with more reliably. The course learning outcomes will be assessed on the basis of QF-Emirates guidelines and use it to suggest teaching and learning measures. It will be used to determine courses learning results based on the empirical knowledge presented. We research and test the design of the right neural networks that achieves our goal. A modern algorithm was improvised for this reason. For our proposed recommendation system, a database program was created to store data and include details in the analysis of course learning outcomes. As a machine-learning system, the proposed approach is tested and results are competitive.2022-03-28T07:04:48Z2022-03-28T07:04:48Z2021Controlled Vocabulary for Resource Type Genres::text::conference object::conference proceedingshttps://ieeexplore.ieee.org/document/9677281https://depot.sorbonne.ae/handle/20.500.12458/126410.1109/ACIT53391.2021.9677281en2021 22nd International Arab Conference on Information Technology (ACIT)oai:depot.sorbonne.ae:20.500.12458/12642024-09-11T11:18:36Z |
| spellingShingle | Machine Learning Approach for the Design of an Assessment Outcomes Recommendation System Abu Zitar, Raed Knowledge engineering Machine learning algorithms Education Neural networks Machine learning Predictive models Gain measurement |
| title | Machine Learning Approach for the Design of an Assessment Outcomes Recommendation System |
| title_full | Machine Learning Approach for the Design of an Assessment Outcomes Recommendation System |
| title_fullStr | Machine Learning Approach for the Design of an Assessment Outcomes Recommendation System |
| title_full_unstemmed | Machine Learning Approach for the Design of an Assessment Outcomes Recommendation System |
| title_short | Machine Learning Approach for the Design of an Assessment Outcomes Recommendation System |
| title_sort | Machine Learning Approach for the Design of an Assessment Outcomes Recommendation System |
| topic | Knowledge engineering Machine learning algorithms Education Neural networks Machine learning Predictive models Gain measurement |
| url | https://ieeexplore.ieee.org/document/9677281 https://depot.sorbonne.ae/handle/20.500.12458/1264 |