Intelligent System Using Deep Learning for Answering Learner Questions in a MOOC

Hamal, Oussama; Faddouli, Nour-eddine El

doi:10.3991/ijet.v17i02.26605

Cited by 7 publications

(5 citation statements)

References 14 publications

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“…This cluster highlights the growing interest and potential of AI technologies and contains a total link strength of 34, with 23 links among the items in the cluster. The presence of keywords such as "vocabulary learning," "task design," and "sociocultural theory" suggests that the field is a complex and multidisciplinary one, with connections to various areas of linguistics, psychology, and education (Hamal & El Faddouli, 2022). Specific topics within the cluster include the use of conversational agents and chatbots to simulate authentic language interactions, as well as the use of dynamic assessments and automated writing evaluation tools to provide personalized feedback to language learners (Huang et al, 2022).…”

Section: Findings and Discussionmentioning

confidence: 99%

A bibliometric analysis of artificial intelligence in L2 teaching and applied linguistics between 1995 and 2022

Kartal,

Yeşilyurt

2024

ReCALL

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This study offers a comprehensive bibliometric analysis of artificial intelligence (AI) applications in the field of second language (L2) teaching and applied linguistics, spanning from the early developments in 1995 to 2022. It aims to uncover current trends, prominent themes, and influential authors, documents, and sources. A total of 185 relevant articles published in Social Sciences Citation Index (SSCI) indexed journals were analyzed using the VOSviewer bibliometric software tool. Our investigation reveals a highly multidisciplinary and interconnected field, with four main clusters identified: AI, natural language processing (NLP), robot-assisted language learning, and chatbots. Notable themes include the increasing use of intelligent tutoring systems, the importance of syntactic complexity and vocabulary in L2 learning, and the exploration of robots and gamification in language education. The study also highlights the potential of NLP and AI technologies to enhance personalized feedback and instruction for language learners. The findings emphasize the growing interest in AI applications in L2 teaching and applied linguistics, as well as the need for continued research to advance the field and improve language instruction and assessment. By providing a quantitative and rigorous overview of the literature, this study contributes valuable insights into the current state of research in AI-assisted L2 teaching and applied linguistics and identifies key areas for future exploration and development.

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Section: Findings and Discussionmentioning

confidence: 99%

A bibliometric analysis of artificial intelligence in L2 teaching and applied linguistics between 1995 and 2022

Kartal,

Yeşilyurt

2024

ReCALL

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“…By taking into account the diversity of learner profiles and providing each learner with a path customized to their needs through the exploitation of their interactions with the learning environment, Smaili, Khoudda, Sraidi, Azzouzi, and Charaf (2022) aimed to personalize the MOOC content for each learner to advance their academic performance and to enhance the effectiveness of the online platform. Hamal and El Faddouli (2022) present an intelligent system built on cuttingedge developments in artificial intelligence, mainly deep learning applications, that may assist the learner by responding to all of his/her queries on the topics covered in the MOOC in the area of Natural Language Processing (NLP).…”

Section: Applications Of the Adaptive And Intelligent Moocsmentioning

confidence: 99%

Adaptive and Intelligent MOOCs: How they Contribute to the Improvement of the MOOCs’ Effectiveness

Papadimitriou

2023

IJREL

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Several traditional MOOCs have been developed utilizing particular traditional approaches for distance learning. The main objective of this article is to examine numerous studies and research about the provision of adaptive and intelligent MOOCs to address issues, such as dropout rate, for improving their efficiency compared to conventional MOOCs. Important issues that have been the essential study interests of MOOC scholars in recent years, including dropout rate, completion rate, loneliness, and other topics, were studied. Finally, the research questions posed on the effectiveness of Adaptive and Intelligent MOOCs, the learner’s characteristics used for adaptation, the adaptive and intelligent methods and techniques used, and the improvements they bring to traditional MOOCs as a compass for designing Adaptive and Intelligent MOOCs in the coming years, are discussed.

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“…Therefore, people were developing countries to change to digital citizenship's lifelong learning, which consists of three skills: digital literacy, digital competency and digital intelligence [26] to help achieve lifelong learning and many countries have adopted this technology. For example, in their research Hamal and Faddouli [27] used intelligent systems developed on deep learning techniques to analyze student responses in MOOCs. The medical community has adapted as well.…”

Section: Education Digital Manpowermentioning

confidence: 99%

Gamers’ Total Experience and Game Motivation for Further Education Digital Manpower

Pornpongtechavanich¹,

Nilsook²,

Wannapiroon³

2023

Int. J. Emerg. Technol. Learn.

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Digital Manpower is very necessary in Thailand today as the growth of technology continues to increase. For example, tech giant Gartner has announced new technology trends every year including 2022, announcing the following technology trends: Total Experience, Composable Application, Decision Intelligence, Hyperautomation, Distributed Enterprises, Autonomic Systems, Generative AI, AI Engineering etc. The application of technology in daily life is increasing. The development of Digital Manpower is therefore very important in order to increase the knowledge and expertise of the country's people in technology. From the statistics, the country has increased internet usage in many ways. For example, from the statistics in 2021, Thai children playing games were number 1 in the world, and in 2022, Thai children playing games are in 2nd place in the world. But the problem faced with Thai education today is that children like to play games and think that they can study in the field of computers. But, in fact, students are not directed into the technology field taking into account their own aptitudes. causing the study to be not fully effective and some leave their courses midway. Therefore, this research is interested in the confirmation factors of children playing games by collecting data on Gamers' Total Experience and Game Motivation in order to analyze the data and discover the confirmation factors that direct the admissions to various computer disciplines. What direction and aptitude do you need to be able to enter a group of computer science disciplines in order to become a Digital Manpower in the country's future development. The researcher has collected data from a sample of 630 people from all six groups in computer science. The confirmation factor was analyzed by the LISREL program. It was found that each group of computer disciplines had different confirmation factors.

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Intelligent System Using Deep Learning for Answering Learner Questions in a MOOC

Cited by 7 publications

References 14 publications

A bibliometric analysis of artificial intelligence in L2 teaching and applied linguistics between 1995 and 2022

A bibliometric analysis of artificial intelligence in L2 teaching and applied linguistics between 1995 and 2022

Adaptive and Intelligent MOOCs: How they Contribute to the Improvement of the MOOCs’ Effectiveness

Gamers’ Total Experience and Game Motivation for Further Education Digital Manpower

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