Artificial intelligence learning approach through total physical response embodiment teaching on French vocabulary learning retention

2021 ◽  
pp. 1-25
Author(s):  
Tzu-Hua Huang ◽  
Lun-Zhu Wang
Keyword(s):  
Artificial Intelligence ◽  
Vocabulary Learning ◽  
Learning Approach ◽  
Learning Retention ◽  
Physical Response

Virtual Screening Meets Deep Learning

2018 ◽  
Vol 15 (1) ◽  
pp. 6-28 ◽  
Author(s):  
Javier Pérez-Sianes ◽  
Horacio Pérez-Sánchez ◽  
Fernando Díaz
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Deep Learning ◽  
Virtual Screening ◽  
Great Increase ◽  
New Drugs ◽  
Learning Approach ◽  
Screening Strategies ◽  
Computer Aided ◽  
Recent Developments

Background: Automated compound testing is currently the de facto standard method for drug screening, but it has not brought the great increase in the number of new drugs that was expected. Computer- aided compounds search, known as Virtual Screening, has shown the benefits to this field as a complement or even alternative to the robotic drug discovery. There are different methods and approaches to address this problem and most of them are often included in one of the main screening strategies. Machine learning, however, has established itself as a virtual screening methodology in its own right and it may grow in popularity with the new trends on artificial intelligence. Objective: This paper will attempt to provide a comprehensive and structured review that collects the most important proposals made so far in this area of research. Particular attention is given to some recent developments carried out in the machine learning field: the deep learning approach, which is pointed out as a future key player in the virtual screening landscape.

A review of vocabulary learning applications: From the aspects of cognitive approaches, multimedia input, learning materials, and game elements

2021 ◽  
pp. 250-272
Keyword(s):  
Foreign Language ◽  
Mobile Applications ◽  
Mobile Apps ◽  
Vocabulary Learning ◽  
Word Knowledge ◽  
Learning Approach ◽  
Feedback Systems ◽  
Learning Materials ◽  
Systematic Understanding ◽  
Game Elements

In recent years, mobile applications (apps) have been increasingly used and investigated as a vocabulary learning approach. Despite the extensive use of commercial English as a Foreign Language (EFL) vocabulary learning apps in China, there is a lack of a review of these apps for a systematic understanding of the components and usefulness of app-assisted vocabulary learning. To fill this knowledge gap, this study presents a systematic review of 15 EFL vocabulary learning apps that were most downloaded in China, focusing on how these apps help students develop word knowledge. The results of this study showed that most apps enabled students to access word knowledge through translating words into their native language. Notably, word knowledge was usually presented through text-plus-image and text-plus-image-plus-audio. Most of these mobile apps provided sentence examples as vocabulary learning materials. Many of these apps were integrated with game elements, especially in interactivity or feedback systems and reward systems. Based on the review results, we have provided three recommendations to vocabulary learning app developers concerning the use of video for the input of word knowledge, the efficiency of vocabulary learning, and the integration of more game elements.

An Example Application of an Artificial Intelligence-Supported Blended Learning Education Program in Computer Engineering

2018 ◽  
pp. 1304-1323
Author(s):  
Tuncay Yigit ◽  
Arif Koyun ◽  
Asim Sinan Yuksel ◽  
Ibrahim Arda Cankaya ◽  
Utku Kose
Keyword(s):  
Artificial Intelligence ◽  
Blended Learning ◽  
Engineering Education ◽  
Education Program ◽  
Learning Approach ◽  
Computer Engineering ◽  
Student Records ◽  
Educational Processes ◽  
Engineering Department ◽  
Teachers And Students

Blended Learning is a learning model that is enriched with traditional learning methods and online education materials. Integration of face-to-face and online learning with blending learning can enhance the learning experience and optimize seat time. In this chapter, the authors present the teaching of an Algorithm and Programming course in Computer Engineering Education via an artificial intelligence-supported blended learning approach. Since 2011, Computer Engineering education in Suleyman Demirel University Computer Engineering Department is taught with a blended learning method. Blended learning is achieved through a Learning Management System (LMS) by using distance education technology. The LMS is comprised of course materials supported with flash animations, student records, user roles, and evaluation systems such as surveys and quizzes that meet SCORM standards. In this chapter, the related education process has been supported with an intelligent program, which is based on teaching C programming language. In this way, it has been aimed to improve educational processes within the related course and the education approach in the department. The blended learning approach has been evaluated by the authors, and the obtained results show that the introduced artificial intelligence-supported blended learning education program enables both teachers and students to experience better educational processes.

Challenges of Developing AI Applications in the Evolving Digital World and Recommendations to Mitigate Such Challenges

2021 ◽  
pp. 177-198
Author(s):  
Srinivasan Vaidyanathan ◽  
Madhumitha Sivakumar ◽  
Baskaran Kaliamourthy
Keyword(s):  
Artificial Intelligence ◽  
Data Privacy ◽  
Learning Approach ◽  
Data Scarcity ◽  
Digital World

These intelligence in the systems are not organic but programmed. In spite of being extensively used, they suffer from setbacks that are to be addressed to expand their usage and a sense of trust in humans. This chapter focuses on the different hurdles faced during the course of adopting the technology namely data privacy, data scarcity, bias, unexplainable Blackbox nature of AI, etc. Techniques like adversarial forgetting, federated learning approach are providing promising results to address various issues like bias, data privacy are being researched widely to check their competency to mitigate these problems. Hardware advancements and the need for enhancing the skillset in the artificial intelligence domain are also elucidated. Recommendations to resolve each major challenge faced are also addressed in this chapter to give an idea about the areas that need improvement.

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