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Anand Prakash; Sudhir Ambekar – Higher Education, Skills and Work-based Learning, 2024
Purpose: This study aims to describe the fundamentals of teaching risk management in a classroom setting, with an emphasis on the learning interface between higher education and the workplace environment for business management students. Design/methodology/approach: The study reviews literature that uses spreadsheets to visualize and model risk…
Descriptors: Risk Management, Case Method (Teaching Technique), Teaching Methods, Higher Education
Xue Zhou; Lilian Schofield – Journal of Learning Development in Higher Education, 2024
This paper proposes a conceptual framework for integrating Artificial Intelligence (AI) into the curriculum. It builds on previous conceptual papers, which provided initial suggestions on integrating AI into teaching. The approach to developing the conceptual framework includes drawing on existing frameworks, AI literature, and case studies from…
Descriptors: Artificial Intelligence, Technological Literacy, Technology Integration, Curriculum Development
Seebut, Supot; Wongsason, Patcharee; Kim, Dojin; Putjuso, Thanin; Boonpok, Chawalit – EURASIA Journal of Mathematics, Science and Technology Education, 2022
Simulation modeling is an effective tool for solving problems that cannot be explained analytically or when data cannot be collected. This is done by simulating the observed behavior of a problem under study using a computer program. In math education, this can develop knowledge and fundamental competencies of simulation modeling at a higher level…
Descriptors: Programming Languages, Mathematics Instruction, Grade 12, Secondary School Students
Tamilla Triantoro; Tuvana Rua; Guido Lang – Information Systems Education Journal, 2025
This study explores the effectiveness of experiential learning in teaching generative AI to entrepreneurs and small business owners. The in-person training program, grounded in Kolb's Experiential Learning Theory, aimed to enhance participants' understanding, attitudes, and perceived benefits of AI adoption. Through a structured cycle of Concrete…
Descriptors: Artificial Intelligence, Entrepreneurship, Computer Software, Experiential Learning
Ching-Yi Chang; Chin-Lan Yang; Hsiu-Ju Jen; Hiroaki Ogata; Gwo-Haur Hwang – Educational Technology & Society, 2024
Traditional nursing and health education design courses usually only transfer knowledge via lectures, and lack interaction, drills and personalized feedback. However, the development and widespread adoption of generative artificial intelligence via the ChatGPT system presents an opportunity to address these issues. Some CIDI model-based ChatGPT…
Descriptors: Nursing Education, Health Education, Artificial Intelligence, Technology Uses in Education
Mia Carapina; Klaudio Pap – International Association for Development of the Information Society, 2024
This paper introduces CoCo, a system designed to support and encourage collaborative learning among colocated students sharing a single mobile device. It provides teachers with the possibility to create digital lessons, configure parameters for collaborative activities such as the number of students and tablets, and monitor students' progress. On…
Descriptors: Cooperative Learning, Handheld Devices, Teaching Methods, Learning Management Systems
Conrad Oh-Young; Michael Karlin – TEACHING Exceptional Children, 2025
ChatGPT, an artificial intelligence (AI) large language model system, has taken the world by storm. Fearful that students would use ChatGPT to circumvent the learning process, multiple school districts in the U.S. have outright banned its use. Despite this, there are some who suggest that ChatGPT has the potential to reshape the field of education…
Descriptors: Early Childhood Education, Special Education, Artificial Intelligence, Computer Software
Riordan Alfredo; Vanessa Echeverria; Linxuan Zhao; LuEttaMae Lawrence; Jie Xiang Fan; Lixiang Yan; Xinyu Li; Zachari Swiecki; Dragan Gaševic; Roberto Martinez-Maldonado – Journal of Learning Analytics, 2024
Despite growing interest in applying human-centred design methods to create learning analytics (LA) systems, most efforts have concentrated on initial design phases, with limited exploration of how LA tools and practices can coevolve during the actual learning and teaching activities. This paper examines how a human-centred LA dashboard can be…
Descriptors: Learning Analytics, Learning Management Systems, Artificial Intelligence, Computer Software
Kovács, Zoltán; Recio, Tomás; Richard, Philippe R.; Van Vaerenbergh, Steven; Vélez, M. Pilar – International Journal of Mathematical Education in Science and Technology, 2022
In this study, we explore automated reasoning tools (ART) in geometry education and we argue that these tools are part of a wider, nascent ecosystem for computer-supported geometric reasoning. To provide some context, we set out to summarize the capabilities of ART in GeoGebra (GGb), and we discuss the first research proposals of its use in the…
Descriptors: Computer Assisted Instruction, Mathematics Instruction, Geometry, Computer Software
Pedagogy of Teaching with Large Datasets: Designing and Implementing Effective Data-Based Activities
O'Reilly, Catherine M.; Josek, Tanya; Darner, Rebekka D.; Fortner, Sarah K. – Biochemistry and Molecular Biology Education, 2022
Integrating the use of large datasets into our teaching provides critical and unique opportunities to build students' skills and conceptual knowledge. Here, we discuss the core components needed to develop effective activities based on large datasets, which align with the 5E learning cycle. Data-based activities should be structured around a…
Descriptors: Instructional Design, Learning Activities, Data Analysis, Computer Software
Peimani, Nastaran; Kamalipour, Hesam – Education Sciences, 2022
Urban design studio education aims to prepare future urban designers to more effectively understand how cities work and critically engage with the role of design intervention in the built environment. A design studio is an appropriate setting where this can take place. This paper details the design and delivery of a postgraduate urban design…
Descriptors: Blended Learning, Student Experience, Student Attitudes, Graduate Students
Fung, Chak Him; Poon, Kin Keung – International Journal of Mathematical Education in Science and Technology, 2021
This study consisted of two stages. In stage A, 38 students were divided randomly into an experimental and a control group. The experimental group received lectures assisted by dynamic geometry software (DGS) and the control group received lectures using chalk and blackboard. The effects of DGS on metacognition and its components were…
Descriptors: Metacognition, Learning Activities, Teaching Methods, Comparative Analysis
Lo, Man Fung; Ng, Peggy M. L. – International Journal for Technology in Mathematics Education, 2021
With reference to the framework in The International Data Science in Schools Project, this paper aims to discuss the course design, teaching and learning, and assessment of a foundation course offered in an undergraduate statistics and data science programme. SAS® University Edition (a free software package) is adopted in this foundation course.…
Descriptors: Teaching Methods, Computer Software, Introductory Courses, Statistics Education
Bahi, Halima; Necibi, Khaled – International Journal of Computer-Assisted Language Learning and Teaching, 2020
Pronunciation teaching is an important stage in language learning activities. This article tackles the pronunciation scoring problem where research has demonstrated relatively low human-human and low human-machine agreement rates, which makes teachers skeptical about their relevance. To overcome these limitations, a fuzzy combination of two…
Descriptors: Oral Reading, Reading Fluency, Pronunciation, Learning Activities
George Kalmpourtzis; Margarida Romero – Interactive Learning Environments, 2024
Taking into account the profound impact of technology on modern education, especially during the COVID-19 pandemic, increasing academic interest has focused towards the design and application of such tools on different learning contexts. A specific area of Human-Computer Interaction, called affordance theory, focuses on the perception, design and…
Descriptors: Robotics, Artificial Intelligence, Computer Software, Teaching Methods