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Marcelo Fernando Rauber; Christiane Gresse von Wangenheim; Pedro Alberto Barbetta; Adriano Ferreti Borgatto; Ramon Mayor Martins; Jean Carlo Rossa Hauck – Informatics in Education, 2024
The insertion of Machine Learning (ML) in everyday life demonstrates the importance of popularizing an understanding of ML already in school. Accompanying this trend arises the need to assess the students' learning. Yet, so far, few assessments have been proposed, most lacking an evaluation. Therefore, we evaluate the reliability and validity of…
Descriptors: Artificial Intelligence, Measures (Individuals), Test Reliability, Test Validity
Anna Trifonova; Mariela Destéfano; Mario Barajas – Digital Education Review, 2024
This article proposes a comprehensive AI curriculum tailored for young learners aged 11 to 14, emphasizing a humanistic approach. We review other AI curricula proposals for children and young people and underline that they focus primarily on AI's technological benefits and on learning coding and logic. Our curriculum explores human cognition that…
Descriptors: Artificial Intelligence, Cognitive Processes, Children, Constructivism (Learning)
Stefania Badiglio; Giuseppe Chiazzese; Vito Pipitone; Luciano Seta – International Journal on E-Learning, 2024
This study explores the interaction between artificial intelligence (AI) and human behavior in economic contexts, focusing on using generative AI, such as ChatGPT, to examine trust and reciprocity. Through an experiment conducted at LUMSA in Palermo, 61 economics students participated in three economic games: the Ultimatum Game, the Trust Game,…
Descriptors: Artificial Intelligence, Computer Software, Asynchronous Communication, Man Machine Systems
Keles, Pinar Ural; Aydin, Suleyman – Shanlax International Journal of Education, 2021
The aim of this study was to determine the perceptions of university students about the concept of artificial intelligence. The sample of the research carried out with the screening method consists of 130 fourth grade students studying in the Faculty of Education, Faculty of Arts and Sciences and Faculty of Economics and Administrative Sciences of…
Descriptors: College Students, Student Attitudes, Artificial Intelligence, Intellectual Disciplines
Pekka Isotalus; Marja Eklund; Karoliina Karppinen – Communication Teacher, 2025
Traditionally, feedback is regarded as crucial in the context of learning and teaching public speaking. In the current course, we analyzed the feedback provided to students by an artificial intelligence (AI) coach and students' learning experiences in developing public-speaking skills via this tool. The MySpeaker Rhetorich speech coach application…
Descriptors: Artificial Intelligence, Public Speaking, Feedback (Response), Teaching Methods
Kuadey, Noble Arden; Mahama, Francois; Ankora, Carlos; Bensah, Lily; Maale, Gerald Tietaa; Agbesi, Victor Kwaku; Kuadey, Anthony Mawuena; Adjei, Laurene – Interactive Technology and Smart Education, 2023
Purpose: This study aims to investigate factors that could predict the continued usage of e-learning systems, such as the learning management systems (LMS) at a Technical University in Ghana using machine learning algorithms. Design/methodology/approach: The proposed model for this study adopted a unified theory of acceptance and use of technology…
Descriptors: Foreign Countries, College Students, Learning Management Systems, Student Behavior
Zanellati, Andrea; Macauda, Anita; Panciroli, Chiara; Gabbrielli, Maurizio – Research on Education and Media, 2023
Within scientific debate on post-digital and education, we present a position paper to describe a research project aimed at the design of a predictive model for students' low achievements in mathematics in Italy. The model is based on the INVALSI data set, an Italian large-scale assessment test, and we use decision trees as the classification…
Descriptors: Foreign Countries, Artificial Intelligence, Models, Algorithms
Pasta, Stefano – Research on Education and Media, 2023
Hate speech may be the research focus of the interdisciplinary field of hate studies, but it is also a difficult phenomenon to define. Internationally, there are several detection studies on automatically detecting hate speech. They can be grouped according to two approaches: the first includes searching using only machine learning methods, while…
Descriptors: Social Bias, Antisocial Behavior, Social Media, Migrants
Wang, Yuhua – Journal of Psycholinguistic Research, 2023
This paper explores the practical prospects for using artificial intelligence technologies in professional English-speaking translator education. At the online conference 'Translation Skills in Times of Artificial Intelligence' (DingTalk platform, January 2022), the teachers of higher education institutions in China prioritized the translator's…
Descriptors: English, Translation, Professional Education, Artificial Intelligence
An, Xin; Chai, Ching Sing; Li, Yushun; Zhou, Ying; Shen, Xi; Zheng, Chunping; Chen, Mengyuan – Education and Information Technologies, 2023
Artificial intelligence (AI) provides new opportunities for K-12 English as foreign language (EFL) teachers to improve their teaching. To address the emerging trend of integrating AI into teaching, this study investigated EFL teachers' perceptions, knowledge, and behavioral intention to use AI to support teaching and learning of English in middle…
Descriptors: Artificial Intelligence, Middle School Teachers, English (Second Language), Language Teachers
Wang, Yi; King, Ronnel; Haw, Joseph; Leung, Shing on – Journal for the Study of Education and Development, 2023
Although Macau students have consistently been recognized as top performers in international assessments, little research has been conducted to explore the various factors that are associated with their achievement. This paper aimed to identify factors that could best predict Macau students' reading achievement using PISA 2018 data provided by…
Descriptors: Foreign Countries, High School Students, Reading Achievement, Predictor Variables
Haffenden, Chris; Fano, Elena; Malmsten, Martin; Börjeson, Love – College & Research Libraries, 2023
How can novel AI techniques be made and put to use in the library? Combining methods from data and library science, this article focuses on Natural Language Processing technologies, especially in national libraries. It explains how the National Library of Sweden's collections enabled the development of a new BERT language model for Swedish. It…
Descriptors: Foreign Countries, Artificial Intelligence, Models, Languages
Predicting Primary and Middle-School Students' Preferences for Online Learning with Machine Learning
V. Selvakumar; Tilak Pakki Venkata; Teja Pakki Venkata; Shubham Singh – South African Journal of Childhood Education, 2023
Background: The COVID-19 pandemic has brought attention to student psychological wellness. Because of isolation, lack of socialisation and intellectual and physical development from excessive media use, primary and secondary school students are at high risk for health problems. Aim: This study aimed to identify the most effective machine learning…
Descriptors: Elementary School Students, Middle School Students, Preferences, Online Courses
Joshua Matthews; Catherine Rita Volpe – Australasian Journal of Educational Technology, 2023
Artificial intelligence (AI) technology, such as Chat Generative Pre-trained Transformer (ChatGPT), is evolving quickly and having a significant impact on the higher education sector. Although the impact of ChatGPT on academic integrity processes is a key concern, little is known about whether academics can reliably recognise texts that have been…
Descriptors: Artificial Intelligence, Natural Language Processing, Identification, Teacher Attitudes
Jorge Sanabria-Z; Berenice Alfaro-Ponce; Amadeo Argüelles-Cruz; Maria Soledad Ramírez-Montoya – Computers in the Schools, 2023
Emerging Artificial Intelligence-enhanced technology platforms in education warrant attention to exploring new learning strategies and dynamics. Keeping up with the accelerating momentum to bring classic traditional learning activities to Artificial Intelligence-supported platforms may unbalance the interest in developing the participants'…
Descriptors: Artificial Intelligence, Difficulty Level, Thinking Skills, Evaluation Utilization