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Heugh, Kathleen; French, Mei; Arya, Vandana; Pham, Min; Tudini, Vincenza; Billinghurst, Necia; Tippett, Neil; Chang, Li-Ching; Nichols, Julie; Viljoen, Jeanne-Marie – AILA Review, 2022
Key findings, analysis and recommendations that have emerged from a research project, 'Using Human Language Technology to enhance academic integrity, inclusivity, knowledge exchange, student diversity and retention' at the University of South Australia conducted in 2019 are discussed in this article. The primary purpose of the project was to…
Descriptors: Multilingualism, Translation, Higher Education, Bilingual Education
Winiarti, Sri; Sunardi; Ahdiani, Ulaya; Pranolo, Andri – Asian Journal of University Education, 2022
Indonesia is a country that is famous for its culture, arts, traditional crafts, and even traditional houses. This diversity is reflected in each region by having a unique culture as an icon of the area. Therefore, the diversity of arts and culture needs to be preserved, so that it can be used as education and study material for scientific…
Descriptors: Diversity, Cultural Influences, Cultural Maintenance, Buildings
Essel, Harry Barton; Vlachopoulos, Dimitrios; Tachie-Menson, Akosua; Johnson, Esi Eduafua; Baah, Papa Kwame – International Journal of Educational Technology in Higher Education, 2022
Chatbot usage is evolving rapidly in various fields, including higher education. The present study's purpose is to discuss the effect of a virtual teaching assistant (chatbot) that automatically responds to a student's question. A pretest-posttest design was implemented, with the 68 participating undergraduate students being randomly allocated to…
Descriptors: Computer Assisted Instruction, Artificial Intelligence, Teaching Assistants, Undergraduate Students
Fichten, Catherine; Jorgensen, Mary; Havel, Alice; Vo, Christine; Libman, Eva – Online Submission, 2022
We present eight studies dealing with artificial intelligence and mobile apps that assist post-secondary students with attention deficit hyperactivity disorder (ADHD) and other disabilities with their academic work. Study 1, based on an advisory board and on a Google search, provided glowing testimonials about AI tools. However, Study 2, a scoping…
Descriptors: Artificial Intelligence, College Students, Telecommunications, Computer Oriented Programs
Eugenia Siapera – International Journal of Bullying Prevention, 2022
The article develops a critical approach to AI in content moderation adopting a decolonial perspective. In particular, the article asks: to what extent does the current AI moderation system of platforms address racist hate speech and discrimination? Based on a critical reading of publicly available materials and publications on AI in content…
Descriptors: Artificial Intelligence, Computer Mediated Communication, Bullying, Decolonization
Ronald Soong; Katelyn Downey; Arvin Moser; Pablo Monje; Amy Jenne; Rajshree Ghosh Biswas; Monica Bastawrous; Rudraksha Majumdar; Daniel Henryk Lysak; Antonio Adamo; Benjamin Goerling; Venita Decker; Falko Busse; Santiago Dominguez; Effiette Sauer; Svetlana Mikhaylichenko; Vivienne Luk; Andre´ J. Simpson – Journal of Chemical Education, 2022
The recent popularity of benchtop (BT) NMR systems has prompted its applications in undergraduate laboratories around the world. Owing to their low maintenance cost, due to the lack of a superconducting magnetic core, and simple operation, these BT NMR systems can fulfill many of the learning objectives outlined in the undergraduate organic…
Descriptors: Undergraduate Study, College Science, Science Laboratories, Computer Assisted Instruction
Worsley, Marcelo; Martinez-Maldonado, Roberto; D'Angelo, Cynthia – Journal of Learning Analytics, 2021
Multimodal learning analytics (MMLA) has increasingly been a topic of discussion within the learning analytics community. The Society of Learning Analytics Research is home to the CrossMMLA Special Interest Group and regularly hosts workshops on MMLA during the Learning Analytics Summer Institute (LASI). In this paper, we articulate a set of 12…
Descriptors: Learning Analytics, Artificial Intelligence, Data Collection, Statistical Inference
Dingus, Rebecca; Black, Hulda G. – Marketing Education Review, 2021
As technology changes rapidly, marketing educators are challenged with maintaining a curriculum that is ever-evolving in order for their graduates to be real-world ready. This paper suggests a highly adaptable exercise that can be used to teach tone analysis while simultaneously familiarizing students with an application of artificial intelligence…
Descriptors: Artificial Intelligence, Marketing, Communication Strategies, Audience Awareness
Artificial Intelligence for Education: Knowledge and Its Assessment in AI-Enabled Learning Ecologies
Cope, Bill; Kalantzis, Mary; Searsmith, Duane – Educational Philosophy and Theory, 2021
Over the past ten years, we have worked in a collaboration between educators and computer scientists at the University of Illinois to imagine futures for education in the context of what is loosely called "artificial intelligence." Unhappy with the first generation of digital learning environments, our agenda has been to design…
Descriptors: Artificial Intelligence, Computer Uses in Education, Electronic Learning, Definitions
Dhanalakshmi, S.; Komalavalli, K.; Hemalatha, R.; Kalyani, S. – Shanlax International Journal of Education, 2021
In the current scenario, the words Artificial Intelligence and Virtual Intelligence are the familiar ones among students of all ages. This study analyzes the usage of virtual intelligence during the pandemic period. The students of higher education mostly adopted the present way of teaching by using technology. A Positive approach to virtual…
Descriptors: Foreign Countries, College Students, COVID-19, Pandemics
Tsai, Wan-Lun; Su, Li-Wen; Ko, Tsai-Yen; Pan, Tse-Yu; Hu, Min-Chun – IEEE Transactions on Learning Technologies, 2021
Decision-making plays an essential role in basketball offense. Offensive players must make effective decisions to score a basket in various defensive situations. Virtual reality (VR) has been widely used in the training of athletes to strengthen their ability to make optimal decisions by creating controllable repeatable training scenarios. In this…
Descriptors: Feasibility Studies, Team Sports, Athletics, Computer Simulation
Özcan, Halil Ziya; Batur, Zekerya – International Journal of Education and Literacy Studies, 2021
Literacy is a term generally used for adults and young people. Basically, it is an acquisition that includes the process of reading, writing and understanding symbols in any language. While this concept, whose definition and scope has expanded over time, refers to people who can only say their names in the past, today it refers to individuals who…
Descriptors: Bibliometrics, Journal Articles, Difficulty Level, Reading Comprehension
Pu, Song; Ahmad, Nor Aniza; Md. Khambari, Mas Nida; Yap, Ng Keng; Ahrari, Seyedali – Asian Journal of University Education, 2021
The purpose of this study is twofold: (1) to develop a service-learning-based module training artificial intelligence (AI) subject (SLBM-TAIS); and (2) to evaluate the effect of SLBM-TAIS on preservice teachers' (PSTs') practical knowledge and motivation, as well as primary school students' attitude towards AI in China. Participants of this study…
Descriptors: Preservice Teachers, Knowledge Level, Student Motivation, Artificial Intelligence
Richardson, Mary; Clesham, Rose – London Review of Education, 2021
Our world has been transformed by technologies incorporating artificial intelligence (AI) within mass communication, employment, entertainment and many other aspects of our daily lives. However, within the domain of education, it seems that our ways of working and, particularly, assessing have hardly changed at all. We continue to prize…
Descriptors: Artificial Intelligence, High Stakes Tests, Computer Assisted Testing, Educational Change
Choffin, Benoît; Popineau, Fabrice; Bourda, Yolaine – Journal of Educational Data Mining, 2021
Adaptive spacing algorithms are powerful tools for helping learners manage their study time efficiently. By personalizing the temporal distribution of retrieval practice of a given piece of knowledge, they improve learners' long-term memory retention compared to fixed review schedules. However, such algorithms are generally designed for the pure…
Descriptors: Heuristics, Time Factors (Learning), Memorization, Time Management

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