An intelligent tutoring system for supporting active learning: A case study on predictive parsing learning

Castro-Schez, J. J.; Glez-Morcillo, C.; Albusac, Javier; Vallejo, David

doi:10.1016/j.ins.2020.08.079

Cited by 29 publications

(16 citation statements)

References 39 publications

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“…System. Intelligent tutoring system (ITS) is a kind of effective teaching technology for students based on cognitive science and comprehensively utilizing the technical achievements of artificial intelligence technology, educational psychology, computer science, and other disciplines [13][14][15]. ITS can intelligently find the hard to find blind spots of students and teachers in learning and teaching and intelligently eliminate the blind spots, which can reduce students' learning burden, improve teachers' teaching efficiency, and finally achieve the purpose of improving students' academic performance.…”

Section: Intelligent Teachingmentioning

confidence: 99%

Design of Higher Education System Based on Artificial Intelligence Technology

Li¹,

Yang

et al. 2021

Discrete Dynamics in Nature and Society

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In order to solve the problems of low security and response efficiency and slow running speed of the current designed higher education system, a higher education system based on artificial intelligence technology is designed. Firstly, according to the characteristics of artificial intelligence technology, intelligent teaching system, agent technology, and data mining technology are introduced in detail. Then it analyzes the overall and detailed functional requirements of the system and adaptively generates knowledge content and teaching mode suitable for students’ ability and personality by using intelligent reasoning ability and the collection and analysis of students’ personality characteristics. Through data mining of intelligent teaching system, the decision tree about curriculum is obtained, and the students’ cognitive ability is calculated. Based on the theory of cognitive science, using the “double master” teaching mode, combined with agent technology and intelligent teaching system, the system function is divided into six modules. Through the design of database structure and data table, the design of higher education system based on artificial intelligence technology is realized. The experimental results show that the proposed method has high security and response efficiency, fast running speed, and good teaching effect.

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Section: Intelligent Teachingmentioning

confidence: 99%

Design of Higher Education System Based on Artificial Intelligence Technology

Li¹,

Yang

et al. 2021

Discrete Dynamics in Nature and Society

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“…Traditional oral English training mainly focuses on the research of speech recognition algorithm, which mainly depends on the rapid development of computer technology, artificial intelligence technology, and information and communication technology [7][8][9]. In the continuous development of speech recognition technology, there are mainly speech signal linear prediction coding technology, dynamic time planning adjustment technology, linear prediction cepstrum technology, and dynamic time warping technology [10][11][12]. In the application of speech technology in computer-aided language learning, it is mainly the application of information technology to combine speech recognition technology with oral English training courses, so as to create a real oral English learning environment for oral English learners, and on this basis, in order to promote the virtuous circle of oral English learning, we should increase the corresponding multimedia technology and improve the interest of English learners [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Intelligent English Pronunciation Training System Based on Android Platform

Cao

Hao²

2021

Complexity

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Oral English, as a language tool, is not only an important part of English learning but also an essential part. For nonnative English learners, effective and meaningful voice feedback is very important. At present, most of the traditional recognition and error correction systems for oral English training are still in the theoretical stage. At the same time, the corresponding high-end experimental prototype also has the disadvantages of large and complex system. In the speech recognition technology, the traditional speech recognition technology is not perfect in recognition ability and recognition accuracy, and it relies too much on the recognition of speech content, which is easily affected by the noise environment. Based on this, this paper will develop and design a spoken English assistant pronunciation training system based on Android smartphone platform. Based on the in-depth study and analysis of spoken English speech correction algorithm and speech feedback mechanism, this paper proposes a lip motion judgment algorithm based on ultrasonic detection, which is used to assist the traditional speech recognition algorithm in double feedback judgment. In the feedback mechanism of intelligent speech training, a double benchmark scoring mechanism is introduced to comprehensively evaluate the speech of the speech trainer and correct the speaker’s speech in time. The experimental results show that the speech accuracy of the system reaches 85%, which improves the level of oral English trainers to a certain extent.

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“…Thirdly, knowledge about the learner is represented in a learner model. From these three models, algorithms can adapt a sequence of learning activities to each learner [13]. Instead of models, many recent ITSs use machine learning techniques, self-learning algorithms based on large data sets and neural networks to enable them to make appropriate content which then is provided to the learner.…”

Section: Example Of Aied Tools: Intelligent Tutoring Systemsmentioning

confidence: 99%

Artificial Intelligent in Education

et al. 2022

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The application of Artificial Intelligence or AI in education has been the subject of academic research for more than 30 years. The field examines learning wherever it occurs, in traditional classrooms or at workplaces so to support formal education and lifelong learning. It combines interdisciplinary AI and learning sciences (such as education, psychology, neuroscience, linguistics, sociology and anthropology) in order to facilitate the development of effective adaptive learning environments and various flexible, inclusive tools. Nowadays, there are several new challenges in the field of education technology in the era of smart phones, tablets, cloud computing, Big Data, etc., whose current research questions focus on concepts such as ICT-enabled personalized learning, mobile learning, educational games, collaborative learning on social media, MOOCs, augmented reality application in education and so on. Therefore, to meet these new challenges in education, several fields of research using AI have emerged over time to improve teaching and learning using digital technologies. Moreover, each field of research is distinguished by its own vision and methodologies. In this article, to the authors present a state of the art finding in the fields of research of Artificial Intelligence in Education or AIED, Educational Data Mining or EDM and Learning Analytics or LA. We discuss their historical elements, definition attempts, objectives, adopted methodologies, application examples and challenges.

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An intelligent tutoring system for supporting active learning: A case study on predictive parsing learning

Cited by 29 publications

References 39 publications

Design of Higher Education System Based on Artificial Intelligence Technology

Design of Higher Education System Based on Artificial Intelligence Technology

Optimization of Intelligent English Pronunciation Training System Based on Android Platform

Artificial Intelligent in Education

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