NotesFAQContact Us
Collection
Advanced
Search Tips
Showing 5,941 to 5,955 of 8,609 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Johann Engelbrecht; Marcelo C. Borba – ZDM: Mathematics Education, 2024
In this paper we review selected significant developments in the use of digital technology in the teaching and learning of mathematics over the last five years. We focus on a number of important topics in this field, including the evolvement of STEAM and critical making as well as the process of redefining learning spaces in the transformation of…
Descriptors: STEM Education, Art Education, COVID-19, Pandemics
Kim Cliett Long; Angela Gunder; Beverly Robinson; Van L. Davis; Dylan Barth; Terrance Adams, Contributor; Ricardo Brown, Contributor; Kimberly Bryant, Contributor; Meacie E. Fairfax, Contributor; Cristi Ford, Contributor; Marybeth Gasman, Contributor; Jennifer Mathes, Contributor; Robbie Melton, Contributor; Michael Nettles, Contributor; Russ Poulin, Contributor; Omari Ross, Contributor – Online Learning Consortium, 2024
The evolution of artificial intelligence (AI) presents an unprecedented opportunity for Historically Black Colleges and Universities (HBCUs) to lead in an era characterized by rapid technological advancement and societal transformation. This report explores the integral role HBCUs--with their history of academic excellence and commitment to…
Descriptors: Artificial Intelligence, Technology Uses in Education, Black Colleges, School Role
Peer reviewed Peer reviewed
Direct linkDirect link
Ching-Yi Chang; Patcharin Panjaburee; Shao-Chen Chang – Interactive Learning Environments, 2024
Educators have recognized the importance of providing a realistic learning environment which helps learners to not only comprehend learning content, but also to link the content to practical problems. Such an environment can hence foster problem-solving skills in nursing training. However, when learners interact in a virtual environment with rich…
Descriptors: Artificial Intelligence, Context Effect, Nursing Education, Technology Integration
Peer reviewed Peer reviewed
Direct linkDirect link
Mei-Rong Alice Chen – Language Learning & Technology, 2024
This study explores the impact of an innovative approach that combines artificial intelligence (AI) chatbot support with collaborative note-taking (CNT) in the comprehension of semantic terms among English as a Foreign Language (EFL) learners. Given the significance of semantics in English language learning, traditional didactic methods often…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Semantics
Editorial Projects in Education, 2024
Technology is transforming the way teachers teach and learn. This Spotlight explores innovative ways to leverage technology to enhance student engagement, personalize instruction, and prepare students for the future. From equitable access to technology and AI-powered tools to drone-based learning and adaptive learning platforms, these articles…
Descriptors: Educational Technology, Technology Uses in Education, Student Needs, Artificial Intelligence
Peer reviewed Peer reviewed
PDF on ERIC Download full text
John Mark R. Asio – Malaysian Online Journal of Educational Sciences, 2024
Understanding and securely using AI systems and tools requires AI literacy. In contrast, AI self-efficacy is a person's confidence in completing an AI task. Also, AI self-competence is the ability to explain how AI technologies are used at work and how they affect society. This study examines college students' AI literacy, self-efficacy, and…
Descriptors: Artificial Intelligence, Computer Software, Technological Literacy, Self Esteem
Drew Nucci; Alex Liu; Min Sun; Lorraine M. Males – Grantee Submission, 2024
This article examines the professional knowledge required for mathematics teachers to effectively use generative artificial intelligence (GenAI) in planning high-quality, ambitious mathematics lessons. While GenAI tools like ChatGPT offer promise for automating parts of lesson planning, their utility in supporting ambitious instruction is limited…
Descriptors: Lesson Plans, Artificial Intelligence, Computer Software, Technology Integration
Peer reviewed Peer reviewed
Direct linkDirect link
Tran, Tich Phuoc; Meacheam, David – IEEE Transactions on Learning Technologies, 2020
The use of learning management systems (LMSs) for learning and knowledge sharing has accelerated quickly both in education and corporate worlds. Despite the benefits brought by LMSs, the current systems still face significant challenges, including the lack of automation in generating quiz questions and managing courses. Over the past decade, more…
Descriptors: Integrated Learning Systems, Test Construction, Test Items, Automation
Peer reviewed Peer reviewed
Direct linkDirect link
Min, Wookhee; Frankosky, Megan H.; Mott, Bradford W.; Rowe, Jonathan P.; Smith, Andy; Wiebe, Eric; Boyer, Kristy Elizabeth; Lester, James C. – IEEE Transactions on Learning Technologies, 2020
A distinctive feature of game-based learning environments is their capacity for enabling stealth assessment. Stealth assessment analyzes a stream of fine-grained student interaction data from a game-based learning environment to dynamically draw inferences about students' competencies through evidence-centered design. In evidence-centered design,…
Descriptors: Game Based Learning, Student Evaluation, Artificial Intelligence, Models
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Aydogdu, Seyhmus – Turkish Online Journal of Distance Education, 2020
The purpose of this research is a comprehensive review of studies towards educational data mining (EDM) in Turkey. For the purpose of this study, graduate theses and articles conducted in Turkey were examined in detail. As a result of the literature review, 48 studies were analyzed in the context of the data mining purpose, the technique used in…
Descriptors: Foreign Countries, Information Retrieval, Data Analysis, Academic Achievement
Peer reviewed Peer reviewed
Direct linkDirect link
Kerimbayev, Nurassyl; Beisov, Nurbol; Kovtun, ?natoly; Nurym, Nurdaulet; Akramova, Aliya – Education and Information Technologies, 2020
Nowadays robotics is one of promising avenues in the sphere of emerging technologies. In the teaching/learning environment we deal with educational robotics, which is a mixture of theory and practice, knowledge of computer technology, Mathematics and Physics. The two vectors are combined in educational robotics: the educational vector and the…
Descriptors: Robotics, Technology Uses in Education, Educational Technology, Interdisciplinary Approach
Peer reviewed Peer reviewed
Direct linkDirect link
Cropley, Arthur – Creativity Research Journal, 2020
Increasing digitization and robotization and the resulting cyber-physical systems (CPSs) are leading to an era in which artificial intelligence (AI) is becoming increasingly prominent in our lives. Making the best use of AI in engineering and technology will require not just practical and technical knowledge and skills but "creatively-focused…
Descriptors: Educational Technology, Technology Uses in Education, Artificial Intelligence, Creativity
Peer reviewed Peer reviewed
Direct linkDirect link
Nelson, Laura K. – Sociological Methods & Research, 2020
This article proposes a three-step methodological framework called computational grounded theory, which combines expert human knowledge and hermeneutic skills with the processing power and pattern recognition of computers, producing a more methodologically rigorous but interpretive approach to content analysis. The first, pattern detection step,…
Descriptors: Grounded Theory, Content Analysis, Expertise, Hermeneutics
Peer reviewed Peer reviewed
Direct linkDirect link
Knox, Jeremy; Williamson, Ben; Bayne, Sian – Learning, Media and Technology, 2020
This paper examines visions of 'learning' across humans and machines in a near-future of intensive data analytics. Building upon the concept of 'learnification', practices of 'learning' in emerging big data-driven environments are discussed in two significant ways: the "training" of machines, and the "nudging" of human…
Descriptors: Data Collection, Data Analysis, Artificial Intelligence, Man Machine Systems
Peer reviewed Peer reviewed
Direct linkDirect link
Cui, Ying; Chen, Fu; Shiri, Ali – Information and Learning Sciences, 2020
Purpose: This study aims to investigate the feasibility of developing general predictive models for using the learning management system (LMS) data to predict student performances in various courses. The authors focused on examining three practical but important questions: are there a common set of student activity variables that predict student…
Descriptors: Foreign Countries, Identification, At Risk Students, Prediction
Pages: 1  |  ...  |  393  |  394  |  395  |  396  |  397  |  398  |  399  |  400  |  401  |  ...  |  574