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Data Science and Machine Learning Teaching Practices with Focus on Vocational Education and Training
Gorjan Nadzinski; Branislav Gerazov; Stefan Zlatinov; Tomislav Kartalov; Marija Markovska Dimitrovska; Hristijan Gjoreski; Risto Chavdarov; Zivko Kokolanski; Igor Atanasov; Jelena Horstmann; Uros Sterle; Matjaz Gams – Informatics in Education, 2023
With the development of technology allowing for a rapid expansion of data science and machine learning in our everyday lives, a significant gap is forming in the global job market where the demand for qualified workers in these fields cannot be properly satisfied. This worrying trend calls for an immediate action in education, where these skills…
Descriptors: Data Science, Artificial Intelligence, Man Machine Systems, Vocational Education
Jionghao Lin; Shaveen Singh; Lela Sha; Wei Tan; David Lang; Dragan Gasevic; Guanliang Chen – Grantee Submission, 2022
To construct dialogue-based Intelligent Tutoring Systems (ITS) with sufficient pedagogical expertise, a trendy research method is to mine large-scale data collected by existing dialogue-based ITS or generated between human tutors and students to discover effective tutoring strategies. However, most of the existing research has mainly focused on…
Descriptors: Intelligent Tutoring Systems, Teaching Methods, Dialogs (Language), Man Machine Systems
Jayanthi Muniandy; Mahiswaran Selvanathan – Teaching Public Administration, 2025
The emergence of ChatGPT, an OpenAI chatbot, has revolutionised our education system to a new phase. It is an innovative approach to future learning, including in the English as a Second Language (ESL) classroom. Since its inception, ChatGPT has been remarkably used by most educators and learners. Nevertheless, its application in the flipped…
Descriptors: Foreign Countries, Artificial Intelligence, Man Machine Systems, Natural Language Processing
Julia Lademann; Jannik Henze; Sebastian Becker-Genschow – Physical Review Physics Education Research, 2025
This work explores the integration of artificial intelligence (AI) custom chatbots in educational settings, with a particular focus on their applicability in the context of mathematics and physics. In view of the increasing deployment of AI tools such as ChatGPT in educational contexts, the present study explores their potential in generating…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Technology Uses in Education
Katherine Drinkwater Gregg; Olivia Ryan; Andrew Katz; Mark Huerta; Susan Sajadi – Journal of Engineering Education, 2025
Background: Courses in engineering often use peer evaluation to monitor teamwork behaviors and team dynamics. The qualitative peer comments written for peer evaluations hold potential as a valuable source of formative feedback for students, yet little is known about their content and quality. Purpose: This study uses a large language model (LLM)…
Descriptors: Artificial Intelligence, Technology Uses in Education, Engineering Education, Student Evaluation
Mohan Yang; Shiyan Jiang; Belle Li; Kristin Herman; Tian Luo; Shanan Chappell Moots; Nolan Lovett – British Journal of Educational Technology, 2025
Generative artificial intelligence brings opportunities and unique challenges to nontraditional higher education students, stemming, in part, from the experience of the digital divide. Providing access and practice is critical to bridge this divide and equip students with needed digital competencies. This mixed-methods study investigated how…
Descriptors: Nontraditional Students, Artificial Intelligence, Technology Uses in Education, Man Machine Systems
Daniel J. Anderson; C. Edward Watson; Lee Rainie; Janna Anderson – American Association of Colleges and Universities, 2025
This free guide empowers students with the insights they need to navigate the age of AI academically, professionally, and ethically. It includes guidance for responsible academic AI use, a checklist for ethical and effective engagement with AI, and tips on incorporating AI to enhance student capabilities. It also outlines how to build an effective…
Descriptors: College Students, Student Experience, Technology Uses in Education, Artificial Intelligence
Qinqing Zhang; Xiaoquan Pan; Jiqun Fan – European Journal of Education, 2025
Generative Artificial Intelligence (GenAI) offers robust information generation, swift responsiveness and high personalization for education. However, it remains unclear how these specific technological features translate into improved learning engagement through the mediation of learners' psychological states. Grounded in the…
Descriptors: Artificial Intelligence, Technology Uses in Education, Trust (Psychology), Self Efficacy
Selay Arkün-Kocadere; Seyma Çaglar-Özhan – International Review of Research in Open and Distributed Learning, 2024
Via AI video generators, it is possible to create educational videos with humanistic instructors by simply providing a script. The characteristics of video types and features of instructors in videos impact video engagement and, consequently, performance. This study aimed to compare the impact of human instructors and AI-generated instructors in…
Descriptors: Video Technology, Lecture Method, Artificial Intelligence, Animation
Lingfei Luan; Xi Lin; Yan Dai; Shu Hu; Qianlu Sun – Asian Journal of Distance Education, 2024
The emergence of ChatGPT, an AI system designed for conversation by OpenAI, has prompted conversations about its transformative possibilities in multiple fields, primarily in education. This study conducts an in-depth investigation into the emotional and cognitive factors contributing to the popularity of ChatGPT and its influence on the shift…
Descriptors: COVID-19, Pandemics, Artificial Intelligence, Computer Software
Asselman, Amal; Khaldi, Mohamed; Aammou, Souhaib – Education and Information Technologies, 2020
Recently, tracking student behavior has become a very important phase for constructing adaptive educational systems. Several researchers have developed various methods based on machine learning for better tracing students' knowledge. Most of these methods have shown an effective estimation of student features and an accurate prediction of future…
Descriptors: Scaffolding (Teaching Technique), Predictor Variables, Student Behavior, Academic Achievement
AL-Sayid, Fareed; Kirkil, Gokhan – Education and Information Technologies, 2023
The novelty of this study is in developing a conceptual model for predicting the non-linear relationships between human-computer interaction factors and ease of use and usefulness of collaborative web-based learning or e-learning. Ten models (logarithmic, inverse, quadratic, cubic, compound, power, s-curve, growth, exponential, and logistic) were…
Descriptors: Cooperative Learning, Electronic Learning, Web Based Instruction, Man Machine Systems
Rumeng Yan; Xin Zhao; Suvodeep Mazumdar – Education for Information, 2023
Chatbots have experienced significant growth over the past decade, with a proliferation of new applications across various domains. Previous studies also demonstrate the trend of new technologies, especially artificial intelligence, being adopted in libraries. The purpose of this study is to determine the current research priorities and findings…
Descriptors: Academic Libraries, Artificial Intelligence, Man Machine Systems, Natural Language Processing
Michael Zabala; Taylor Oldfather – Journal of STEM Education: Innovations and Research, 2023
Recent improvements in advanced artificial intelligence (AI), including large language models (LLMs) such as ChatGPT, and the subsequent release of these models into the public domain have instantly provided the public with technical capabilities that previously required years of engineering education to acquire. The ability of these models to…
Descriptors: Engineering Education, Artificial Intelligence, Computer Mediated Communication, Computer Interfaces
María-Isabel de Vicente-Yagüe-Jara; Olivia López-Martínez; Verónica Navarro-Navarro; Francisco Cuéllar-Santiago – Comunicar: Media Education Research Journal, 2023
The main objective of the research is to study the creative potential of Artificial Intelligence (AI) for writing skills in an educational context. The research aims to provide evidence on the use of AI and contribute to its integration in the classroom as a support for the teaching-learning process. Two types of research designs were established:…
Descriptors: Artificial Intelligence, Natural Language Processing, Man Machine Systems, Creativity

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