Top Research Papers on AIML

This survey aims to provide a comprehensive review of state-of-the-art methods in sign language capturing, recognition, translation and representation, pinpointing their advantages and limitations.

The study combines a quantitative study of approximately 30 classrooms in Baden-Württemberg and North Rhine-Westphalia with a qualitative analysis of two classrooms in Hamburg to explore the conditions and effects of adaptive, individualized practice with intelligent feedback and scaffolding on classroom-based communicative task performance and language learning processes in general.

This comprehensive review paper aims to contribute to the evolving landscape of AI-driven language translation by critically examining the existing literature, identifying key debates, and uncovering areas of innovation and limitations.

It is found that using algorithmic responses changes language and social relationships, which increases communication speed, use of positive emotional language, and conversation partners evaluate each other as closer and more cooperative.

The article explores natural language processing (NLP), data-driven learning (DDL), automated writing evaluation (AWE), computerized dynamic assessment (CDA), intelligent tutoring systems (ITSs), automatic speech recognition (ASR), and chatbots to suggest that AI will be continuously integrated into language education and AI technologies and applications will have a profound impact on language learning and teaching.

A study that evaluates bias in existing Natural Language Processing models used in psychiatry and discusses how these biases may widen health inequalities, and offers recommendations for avoiding these harms in the future.

Artificial Intelligence (AI) plays an increasingly important role in language education; however, the trends, research issues, and applications of AI in language learning remain largely under-investigated. Accordingly, the present paper, using bibliometric analysis, investigates these issues via a review of 516 papers published between 2000 and 2019, focusing on how AI was integrated into language education. Findings revealed that the frequency of studies on AI-enhanced language education increased over the period. The USA and Arizona State University were the most active country and instituti...

How AI is currently used in ELT is described, and some of the opportunities and challenges that AI can provide for learners, teachers and institutions are explored.

This work evaluates CILLE as a Chinese-as-a-foreign-language (CFL) education tool through a seven-week, mixed-methods study with university students and shows how CILLE is designed and experienced by students to learn CFL.

The findings of this literature review suggest that AI has the potential to significantly enhance English language learners' communication skills by providing personalized and interactive learning experiences, however, further research is needed to explore the long-term effects and optimal integration of AI in language learning environments.

The paper explores the existing usability of chatbot to assess whether it can fulfill customers ever-changing needs and sheds light on the potential of intelligent systems.

It is suggested that a large language model could be used to translate discharge summaries into patient-friendly language and format, but implementation will require improvements in accuracy, completeness, and safety.

AI's present applications in healthcare, including its benefits, limitations and future scope are reviewed, alongside further research into the specific capabilities and limitations of its medical use.

Generative artificial intelligence (AI), such as ChatGPT, has taken the world by storm, especially in the education sector, because of its capacity to produce responses that are contextually relevant and appear to imitate human language. This has increased concerns from both scholars and practitioners regarding the potential impacts of ChatGPT on students' learning. However, research on higher education students' adoption of ChatGPT is still scant. Drawing on the modified technology acceptance model (TAM) and a sample of 1389 higher education students recruited in 11 universities in Vietnam wi...

The integration of generative artificial intelligence (AI) in English language teaching presents opportunities and challenges for instructors. This study explores the attitudes of higher education English language instructors towards generative AI tools, their intentions to use them and the institutional support and professional development necessary to teach and learn with them. As the field continues to evolve rapidly, it is essential to comprehend the readiness of front-line language instructors. This qualitative interpretive study seeks to identify the digital competencies and pedagogical ...

This scoping literature review examines the application of Generative Artificial Intelligence (GenAI), a disruptive technology, in language teaching and learning. Since its launch in November 2022, GenAI has captured global attention with OpenAI's ChatGPT, powered by the generative pre-trained transformer-3 (GPT-3) large-language model. The emergence of GenAI holds immense implications across various domains, including language education. This review aims to provide an overview of the current state of research and identify research gaps and future directions in this emerging field. The review ...

Abstract The use of transformer‐based language models in artificial intelligence (AI) has increased adoption in various industries and led to significant productivity advancements in business operations. This article explores how these models can be used to augment human innovation teams in the new product development process, allowing for larger problem and solution spaces to be explored and ultimately leading to higher innovation performance. The article proposes the use of the AI‐augmented double diamond framework to structure the exploration of how these models can assist in new product de...

As its broad application prospect in agriculture, industry, service and public sectors, AI may bring opportunities and challenges to the labor market of multifarious industries, a new technology that is overcritical of worker’s quality and competence, but numerous posts demanding human intelligence are generated.

A potential menu of safeguards and limitations to significantly limit the deployment of physiognomic AI systems is considered, which the authors hope can be used to strengthen local, state, and federal legislation.

Our entertainment and shopping media, smartphones and other devices all generate data. In 2021, just one minute on the internet accounted for 200,000 tweets, two million views on Twitch, 197 million emails and 69 million text messages, and $1.6 million in online shopping spend. This phenomenon, known as Big Data, comprises the data shared by the 3 Vs: volume, speed and variety. However, the wealth of information leads to a poverty of attention on our part, and challenges our ability to concentrate on data from different sources at the same time, which makes it necessary to set up automatic sys...