Article Per Year (5 Year)
p-Index From 2021 - 2026
1.829
P-Index
This Author published in this journals
All Journal Lensa: Kajian Kebahasaan, Kesusastraan, dan Budaya Journal of Language and Literature Journal of Pragmatics Research Jurnal Artefak Abdimas Altruis: Jurnal Pengabdian Kepada Masyarakat Journal of English Language Teaching, Linguistics and Literature (JETLEE) Widyaparwa Mestaka: Jurnal Pengabdian Kepada Masyarakat Indonesian Journal on Learning and Advanced Education (IJOLAE)
Anindita Dewangga Puri
Universitas Sanata Dharma
Agriculture, Biological Sciences & Forestry Arts Humanities Education Energy Environmental Science Languange, Linguistic, Communication & Media Mechanical Engineering Social Sciences Other

Published : 12 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 12 Documents
Search

 1   2 
ChatGPT and the Pedagogical Challenge: Unveiling the Impact on Early-Career Academics in Higher Education FX Risang Baskara; Anindita Dewangga Puri; Annisa Radista Wardhani
Indonesian Journal on Learning and Advanced Education (IJOLAE) Vol. 5, No. 3, September 2023
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/ijolae.v5i3.22966

Abstract

Emerging Artificial Intelligence (AI) tools like ChatGPT offer considerable promise for enhancing professional development in higher education. This study focuses on the experiences of early-career lecturers who utilise ChatGPT for professional development. Central questions explore ChatGPT's influence on their overall professional experience and the challenges and benefits of its use. While research on AI in education has been growing, few studies have delved into the specific experiences of young academics using ChatGPT. This study employed qualitative methods to address this gap, pre-cisely 45- to 60-minute in-depth interviews with two purposively selected lecturers, followed by a thematic analysis using a grounded theory approach. Our findings reveal a multifaceted landscape: on the one hand, ChatGPT enhances the ability to construct intricate academic arguments, increases effi-ciency in research and teaching tasks, and heightens critical thinking capabilities. Conversely, chal-lenges such as initial technical hurdles, occasional incorrect outputs, and concerns about over-dependency were also highlighted. Through this investigation, the study contributes to the broader discourse on AI in education by illustrating both the promising opportunities and potential pitfalls of using ChatGPT in academia. The study underscores the need for a balanced approach to AI adoption. It offers insights into the role of AI tools like ChatGPT in shaping the future of professional development in higher education.
Expressive Speech Acts in User Comments on the BBC Learning Podcast “Better Speaking” Puri, Anindita Dewangga
JETLEE : Journal of English Language Teaching, Linguistics, and Literature Vol. 6 No. 1 (2026): Journal of English Language Teaching, Linguistics and Literature (JETLEE)
Publisher : JETLEE: Journal of English Language Teaching, Linguistics, and Literature

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47766/jetlee.v6i1.6430

Abstract

Nowadays, there are a lot of digital platforms that offer interactive spaces for people to interact with each other. These platforms allow people to share information, exchange thoughts and opinions, give feedback, ask questions, or discuss a particular topic. YouTube is one of the most popular platforms that provides a space for people to give comments or responses to their posts. This natural interaction can be examined from a pragmatic perspective, especially in relation to how they express their emotional response in a written form. This research focuses on identifying and analyzing expressive speech acts in the user comments on the “Better Speaking” podcast by BBC Learning English, a globally recognized English learning channel. The research uses a descriptive qualitative method to examine 212 selected user comments from eight podcast episodes. The expressive speech acts were categorized into thanking, praising, complimenting, complaining, and lamenting. The findings show that thanking and praising are the most frequent types of expressive speech acts that indicate the existence of a dominant positive interaction pattern. Moreover, the comments also reveal four main pragmatic functions: affective alignment, relational work, feedback evaluation, and identity projection. These results suggest that user comments not only express their emotion but also contribute to a supportive and meaningful digital learning environment. 
Co-Authors Annisa Radista Wardhani Arina Isti’anah Baskoro, Aji Cahyo Chandra Halim F.X. Risang Baskara F.X. Risang Baskara, F.X. Risang FX Risang Baskara FX. Risang Baskara FX. Risang Baskara Isti'anah, Arina Januari Ayu Fridayani Minta Istono Owena Zaneta Yogaswari Theodora Pramasitha Yudanti Yoel Kurniawan Raharjo