Understanding the Paralinguistic Features Disclosure Depicted in the Lecturer’s Visual Modes of Writing Class Instruction

Today’s writing instruction performance is greatly aided by oral and nonverbal communication. This study intends to contextualize the lecturer’s visual modes regarding paralinguistic features in class. Data were gathered from PSETs’ self-rated questionnaire that durably video recorded. analysed using IBM SPSS version 20 for descriptive factor analysis, as well ELAN’s software non-verbal linguistic matters. The findings showed features, namely gesture, articulation, loudness strongly visible, whereas sonority facial expression lips setting visible relating (r = .833, n 243, p<.05). Meanwhile, Eigenvalue factorial analysis affirmed two rooted components of 83.803% (68.128% component 1 15.675% 2). Further, ELAN qualitatively contextualized corresponding with meta-discourse taxonomy through portrait quoted material, dysfluencies, discourse organization on introducing, delimiting, adding, concluding topic normative pre-planned types spoken data class activities. synchronizes verbal viewpoints both PSETs understanding Keywords: analysis; Meta-discourse taxonomy; features;