NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Alex Yue Feng Zhu – British Journal of Educational Technology, 2024
Research has shown that even though standardized financial education has gained prevalence to promote financial literacy over the past decade, it has had little effect on personal financial planning. The present study used a randomized control trial to examine the effectiveness of a Python-based personalized financial projection on young working…
Descriptors: Financial Education, Programming Languages, Financial Literacy, Money Management
Peer reviewed Peer reviewed
Direct linkDirect link
Weng, Xiaojing; Ng, Oi-Lam; Cui, Zhihao; Leung, Suzannie – Journal of Educational Computing Research, 2023
Creativity, one of the cornerstones of students' 21st-century skills, is regarded as an important learning outcome of science, technology, engineering, arts, and mathematics (STEAM) education. Meanwhile, problem-based digital making (DM), which combines the child-friendly programming activities of DM with problem-solving elements, is an emerging…
Descriptors: Creativity, Creative Development, 21st Century Skills, Problem Based Learning
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Fung, Tze-ho; Li, Wing-yi – Practical Assessment, Research & Evaluation, 2022
Rough set theory (RST) was proposed by Zdzistaw Pawlak (Pawlak,1982) as a methodology for data analysis using the notion of discernibility of objects based on their attribute values. The main advantage of using RST approach is that it does not need additional assumptions--like data distribution in statistical analysis. Besides, it provides…
Descriptors: Gifted, Metacognition, Learning Strategies, Programming Languages
Peer reviewed Peer reviewed
PDF on ERIC Download full text
So, Joseph Chi-ho; Wong, Adam Ka-lok; Tsang, Kia Ho-yin; Chan, Ada Pui-ling; Wong, Simon Chi-wang; Chan, Henry C. B. – Journal of Technology and Science Education, 2023
The project presented in this paper aims to formulate a recommendation framework that consolidates the higher education students' particulars such as their academic background, current study and student activity records, their attended higher education institution's expectations of graduate attributes and self-assessment of their own generic…
Descriptors: Pattern Recognition, Artificial Intelligence, Higher Education, College Students