A Review for Neuroimaging Techniques in Multimedia Learning: Methodological Framework


Özel P., Mutlu Bayraktar D., Altan T., Coşkun V., Olamat A.

AI-Enabled Smart Healthcare Using Biomedical Signals, Rahul Kumar Chaurasiya,Ram Bilas Pachori, Editör, IGI Global, Pennsylvania, ss.26-52, 2022

  • Yayın Türü: Kitapta Bölüm / Araştırma Kitabı
  • Basım Tarihi: 2022
  • Yayınevi: IGI Global
  • Basıldığı Şehir: Pennsylvania
  • Sayfa Sayıları: ss.26-52
  • Editörler: Rahul Kumar Chaurasiya,Ram Bilas Pachori, Editör
  • İstanbul Üniversitesi-Cerrahpaşa Adresli: Evet

Özet

This research analyzed neuroimaging techniques for measuring cognitive load in multimedia research using a systematic literature review on all related papers published until April 2020. The most striking observation to emerge from the analysis is that electroencephalography, functional magnetic resonance imaging, functional near-infrared spectroscopy, and transcranial doppler ultrasonography have been the most preferred neuroimaging tools utilized in cognitive load in multimedia learning research. Forty articles were reviewed based on the techniques that should be known in the field of neuroimaging to study cognitive load in multimedia learning, the analysis methods for neuroimaging, the results related to cognitive load in multimedia research. The study's findings were evaluated, and many discrepancies in cognitive load research related to multimedia learning were discovered.