Voice Assistants and Artificial Intelligence in Education

Terzopoulos, George; Satratzemi, Maya

doi:10.1145/3351556.3351588

Cited by 50 publications

(31 citation statements)

References 19 publications

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“…Based on learner models, algorithms, and neural networks, they can make decisions about the learning path of an individual student, select the content, provide scaffolding, and help to engage the student in a dialogue to improve students' knowledge and skill development. SPAs can be seen as a new subtype of ITS that calls for fresh research for studying their influence (Terzopoulos and Satratzemi 2019).…”

Section: Introductionmentioning

confidence: 99%

Enhancing problem-solving skills with smart personal assistant technology

Winkler

Söllner

Leimeister

2021

Computers & Education

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This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

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Section: Introductionmentioning

confidence: 99%

Enhancing problem-solving skills with smart personal assistant technology

Winkler

Söllner

Leimeister

2021

Computers & Education

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“…Knowledge may be tested everywhere and at any time under specific technological circumstances [ 5 ]. Education started to stress internalisation and development of individual knowledge when the acquisition of indirect human experience became convenient [ 6 ]. Students' experiences should be a major focus in music education.…”

Section: Introductionmentioning

confidence: 99%

Research on Classroom Online Teaching Model of “Learning” Wisdom Music on Wireless Network under the Background of Artificial Intelligence

Shan

Talha

2021

Computational and Mathematical Methods in Medicine

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This article uses a multimodal smart music online teaching method combined with artificial intelligence to address the problem of smart music online teaching and to compensate for the shortcomings of the single modal classification method that only uses audio features for smart music online teaching. The selection of music intelligence models and classification models, as well as the analysis and processing of music characteristics, is the subjects of this article. It mainly studies how to use lyrics and how to combine audio and lyrics to intelligently classify music and teach multimodal and monomodal smart music online. In the online teaching of smart music based on lyrics, on the basis of the traditional wireless network node feature selection method, three parameters of frequency, concentration, and dispersion are introduced to adjust the statistical value of wireless network nodes, and an improved wireless network is proposed. After feature selection, the TFIDF method is used to calculate the weights, and then artificial intelligence is used to perform secondary dimensionality reduction on the lyrics. Experimental data shows that in the process of intelligently classifying lyrics, the accuracy of the traditional wireless network node feature selection method is 58.20%, and the accuracy of the improved wireless network node feature selection method is 67.21%, combined with artificial intelligence and improved wireless, the accuracy of the network node feature selection method is 69.68%. It can be seen that the third method has higher accuracy and lower dimensionality. In the online teaching of multimodal smart music based on audio and lyrics, this article improves the traditional fusion method for the problem of multimodal fusion and compares various fusion methods through experiments. The experimental results show that the improved classification effect of the fusion method is the best, reaching 84.43%, which verifies the feasibility and effectiveness of the method.

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“…e results show that the intelligent system can be used in the classroom to increase the productivity of the teaching and learning process. Terzopoulos and Satratzemi [48] have proposed a study to analyze the abilities and developments in education by artificial intelligence and natural language processingbased intelligent devices. With the use of AI and NLP, these devices can communicate and interact with the user in human-understandable languages.…”

Section: Role Of 5g Network Technology and Artificial Intelligence For English Situational Teaching In Higher Studiesmentioning

confidence: 99%

Role of 5G and Artificial Intelligence for Research and Transformation of English Situational Teaching in Higher Studies

Yu¹,

Nazir

2021

Mobile Information Systems

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We live in a modern and technological society run by intelligent and human-like machines and systems. This is due to the advancements in the field of artificial intelligence. The machines are directly or indirectly used in different sectors like healthcare, automatic vehicles, and complex decision-making and at the same used in educational institutes. The usage of AI-based systems and the Internet has brought numerous educational innovations for both teachers and students. With the online learning platforms grounded on AI techniques, 5G has revolutionized the teaching and learning methods by smooth and faster access to educational content. Students of foreign languages, especially English learners, can now use chatbots and intelligent tutoring systems to learn and practice their speaking and listening skills offline and online. With Computer-Assisted Language Learning (CALL), the English learning process can now be interactive and productive. The students can now improve their language skills by conversing with AI-based agents instead of native speakers to avoid any fear and anxiety. The intelligent platforms can understand the consuming power of the student and hence can create and give content according to their level to create an individualized learning environment. With the help of digital assistants, people can also find it very easy and productive to improve English proficiency. To accomplish the goal of English teaching very easily and ideally, the teachers should use AI-based techniques in the classrooms. With the help of intelligent assistants for the daily workload of a teacher, we will be able to concentrate fully on the language learning and skills of the students. The current study has presented a detailed overview of 5G and AI’s role in research and transformation of English situational teaching in higher studies. The search results are compiled and presented with different details of the area.

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Voice Assistants and Artificial Intelligence in Education

Cited by 50 publications

References 19 publications

Enhancing problem-solving skills with smart personal assistant technology

Enhancing problem-solving skills with smart personal assistant technology

Research on Classroom Online Teaching Model of “Learning” Wisdom Music on Wireless Network under the Background of Artificial Intelligence

Role of 5G and Artificial Intelligence for Research and Transformation of English Situational Teaching in Higher Studies

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