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Leif Sundberg; Jonny Holmström – Journal of Information Systems Education, 2024
With recent advances in artificial intelligence (AI), machine learning (ML) has been identified as particularly useful for organizations seeking to create value from data. However, as ML is commonly associated with technical professions, such as computer science and engineering, incorporating training in the use of ML into non-technical…
Descriptors: Artificial Intelligence, Conventional Instruction, Data Collection, Models
Anastasya Putri Aristanti; Arum Fatayan – Elementary School Forum (Mimbar Sekolah Dasar), 2024
The ability to think critically in the 21st century is a skill that must be possessed by every individual. This study, uses a UbD-based problem-based learning model with a conventional learning model to see which learning model has more influence on the critical thinking ability of grade IV students in science subjects. The UbD approach was chosen…
Descriptors: Foreign Countries, Critical Thinking, Thinking Skills, Problem Based Learning
Chukwudum Collins Umoke; Musa Adekunle Ayanwale; Sunday Odo Nwangbo; Ngele Cletus Ezeoke; Sunday Okechukwu Abonyi; Stella Oluwakemi Olatunbosun – Discover Education, 2025
Innovative instructional strategies are critical for fostering engagement and inclusivity in education, especially in technology-driven fields such as computer studies. Despite their potential, the broader impacts of modeling instructional approaches on student interest remain underexplored, particularly in secondary education. This study…
Descriptors: Educational Strategies, Teaching Methods, Models, Junior High School Students