Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal SeBaSa: Jurnal Pendidikan Bahasa dan Sastra Indonesia
Sya'adatul Hayat
Unknown Affiliation
Arts Humanities Education Languange, Linguistic, Communication & Media Social Sciences

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
TINDAK TUTUR EKSPRESIF DALAM UNGGAHAN TIKTOK TENTANG DEEP LEARNING Sya'adatul Hayat; Prayitno , Harun Joko
SEBASA Jurnal Pendidikan Bahasa dan Sastra Vol 9 No 1 (2026): SeBaSa
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/sbs.v9i1.34116

Abstract

TikTok has emerged as an educational discourse space that reflects public responses to the concept of deep learning within instructional contexts as a pedagogical approach. This study aims to describe the forms and meanings of expressive speech acts found in users’ comments on TikTok content related to deep learning, while also linking them to the values of mindful, meaningful, and joyful learning. The data consist of 50 expressive utterances collected from user comments during the period of January to March 2025. This research employs a descriptive qualitative approach using an extralingual equivalent method to relate linguistic forms to their underlying social and digital contexts. The findings reveal a range of expressive speech acts, including criticism (32%), complaints (26%), praise (18%), expectations (10%), agreement (8%), affirmation (4%), sarcasm (2%), and expressions of gratitude (2%). Criticism and complaints reflect the value of mindful learning, as they demonstrate users’ critical awareness of the gap between theoretical concepts and actual classroom practices. Praise and gratitude represent the value of joyful learning through expressions of appreciation and positive learning experiences. Meanwhile, expectations and agreement indicate the value of meaningful learning, as they convey interpretations of the relevance and benefits of deep learning. This study contributes theoretically to the field of digital pragmatics and practically provides insight into public responses toward educational communication on social media platforms.
Co-Authors Harun Joko Prayitno