Smart MOOC integrated with intelligent tutoring: A system architecture and framework model proposal
Massive Open Online Courses (MOOCs) are a type of Learning Management Systems (LMSs), but it seems that the influence of the instructor in these systems is minimal or simply lacking. These systems present the learning content and materials to all learners attending the course in the same way and fai...
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Format: | Article |
Language: | English |
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Elsevier
2022-01-01
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Series: | Computers and Education: Artificial Intelligence |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2666920X22000479 |
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author | Ramazan Yilmaz Halil Yurdugül Fatma Gizem Karaoğlan Yilmaz Muhittin Şahi̇n Sema Sulak Furkan Aydin Mustafa Tepgeç Cennet Terzi Müftüoğlu Ömer ORAL |
author_facet | Ramazan Yilmaz Halil Yurdugül Fatma Gizem Karaoğlan Yilmaz Muhittin Şahi̇n Sema Sulak Furkan Aydin Mustafa Tepgeç Cennet Terzi Müftüoğlu Ömer ORAL |
author_sort | Ramazan Yilmaz |
collection | DOAJ |
description | Massive Open Online Courses (MOOCs) are a type of Learning Management Systems (LMSs), but it seems that the influence of the instructor in these systems is minimal or simply lacking. These systems present the learning content and materials to all learners attending the course in the same way and fail to offer individualized instruction that recognizes the individual differences and needs of the learners. It is reported that such problems can be eliminated by making the new generation intelligent learning systems. However, there is still an ongoing search for making such systems intelligent and a conceptual discussion concerning them. Integrating an intelligent tutoring system (ITS) with learning analytics, this study seeks to design and present the framework of an ITS with open access that a) identifies the learning needs of learners through adaptive mastery testing and guides learners based on these needs, b) overcomes learning deficiencies, monitors learners' interactions with content through learning analytics and offers suggestions, c) supports learning with dynamic assessment processes and d) tests learners’ learning competencies. This article aims to explain the conceptual and system framework for the design of an adaptive, dynamic, intelligent tutoring system (SMIT), supported by learning analytics, which is a product of the project, which aims to integrate LMS and ITS, on the idea of how to make systems such as MOOCs smarter. In line with the findings obtained from the research, various suggestions were made for the design of smart Moocs. |
first_indexed | 2024-04-11T13:30:18Z |
format | Article |
id | doaj.art-be6117f841f443c19885ff059af9bb33 |
institution | Directory Open Access Journal |
issn | 2666-920X |
language | English |
last_indexed | 2024-04-11T13:30:18Z |
publishDate | 2022-01-01 |
publisher | Elsevier |
record_format | Article |
series | Computers and Education: Artificial Intelligence |
spelling | doaj.art-be6117f841f443c19885ff059af9bb332022-12-22T04:21:52ZengElsevierComputers and Education: Artificial Intelligence2666-920X2022-01-013100092Smart MOOC integrated with intelligent tutoring: A system architecture and framework model proposalRamazan Yilmaz0Halil Yurdugül1Fatma Gizem Karaoğlan Yilmaz2Muhittin Şahi̇n3Sema Sulak4Furkan Aydin5Mustafa Tepgeç6Cennet Terzi Müftüoğlu7 Ömer ORAL8Bartın University, Faculty of Science, Department of Computer Technology and Information Systems, Turkey; Corresponding author. Bartin University, Bartin, Turkey.Hacettepe University, Faculty of Education, Department of Computer Education and Instructional Technology, TurkeyBartın University, Faculty of Science, Department of Computer Technology and Information Systems, TurkeyPresidency of the Republic of Turkey Human Resources Office Ankara, TurkeyBartın University, Faculty of Science, Department of Computer Technology and Information Systems, TurkeyPresidency of the Republic of Turkey Human Resources Office Ankara, TurkeyPresidency of the Republic of Turkey Human Resources Office Ankara, TurkeyPresidency of the Republic of Turkey Human Resources Office Ankara, TurkeyHacettepe University, Faculty of Education, Department of Computer Education and Instructional Technology, TurkeyMassive Open Online Courses (MOOCs) are a type of Learning Management Systems (LMSs), but it seems that the influence of the instructor in these systems is minimal or simply lacking. These systems present the learning content and materials to all learners attending the course in the same way and fail to offer individualized instruction that recognizes the individual differences and needs of the learners. It is reported that such problems can be eliminated by making the new generation intelligent learning systems. However, there is still an ongoing search for making such systems intelligent and a conceptual discussion concerning them. Integrating an intelligent tutoring system (ITS) with learning analytics, this study seeks to design and present the framework of an ITS with open access that a) identifies the learning needs of learners through adaptive mastery testing and guides learners based on these needs, b) overcomes learning deficiencies, monitors learners' interactions with content through learning analytics and offers suggestions, c) supports learning with dynamic assessment processes and d) tests learners’ learning competencies. This article aims to explain the conceptual and system framework for the design of an adaptive, dynamic, intelligent tutoring system (SMIT), supported by learning analytics, which is a product of the project, which aims to integrate LMS and ITS, on the idea of how to make systems such as MOOCs smarter. In line with the findings obtained from the research, various suggestions were made for the design of smart Moocs.http://www.sciencedirect.com/science/article/pii/S2666920X22000479Learning management systemMassive open online course (MOOCs)Educational data miningLearning analyticsIntelligent tutoring systemAdaptive mastery testing |
spellingShingle | Ramazan Yilmaz Halil Yurdugül Fatma Gizem Karaoğlan Yilmaz Muhittin Şahi̇n Sema Sulak Furkan Aydin Mustafa Tepgeç Cennet Terzi Müftüoğlu Ömer ORAL Smart MOOC integrated with intelligent tutoring: A system architecture and framework model proposal Computers and Education: Artificial Intelligence Learning management system Massive open online course (MOOCs) Educational data mining Learning analytics Intelligent tutoring system Adaptive mastery testing |
title | Smart MOOC integrated with intelligent tutoring: A system architecture and framework model proposal |
title_full | Smart MOOC integrated with intelligent tutoring: A system architecture and framework model proposal |
title_fullStr | Smart MOOC integrated with intelligent tutoring: A system architecture and framework model proposal |
title_full_unstemmed | Smart MOOC integrated with intelligent tutoring: A system architecture and framework model proposal |
title_short | Smart MOOC integrated with intelligent tutoring: A system architecture and framework model proposal |
title_sort | smart mooc integrated with intelligent tutoring a system architecture and framework model proposal |
topic | Learning management system Massive open online course (MOOCs) Educational data mining Learning analytics Intelligent tutoring system Adaptive mastery testing |
url | http://www.sciencedirect.com/science/article/pii/S2666920X22000479 |
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