This article explores how creativity works in designers' brains, outlines the 4C model, compares protocol analysis with neural‑mechanism studies, and presents practical tools and daily habits that can stimulate and sustain innovative thinking in design work.
This article reviews the major brain imaging methods—electroencephalography (EEG), magnetoencephalography (MEG), transcranial magnetic stimulation (TMS), and functional near‑infrared spectroscopy (fNIRS)—explaining their principles, strengths, limitations, and applications in neuroscience and education.
Recent research from the University of Washington shows that individuals with stronger language abilities learn Python faster and achieve better programming outcomes, while mathematical skills have little predictive power, highlighting the crucial role of linguistic skills and brain beta oscillations in coding education.
