Micro-Ethnography Approach in Using Technology to Support Learning Interaction

Technological and Artificial Intelligence (AI) development provides challenges and opportunities for lecturers to create dynamic and relevant classroom engagements, especially in courses that demand intensive communication skills, such as English Education. A micro-ethnography approach can help lecturers analyze social engagements in the classroom in detail, adapt their teaching style, and increase student engagement by combining technology and a personal approach. This study aims to explore lecturers' strategies for strengthening classroom interaction in English Education study program using the micro-ethnography approach in the era of technology and AI. This research uses the literature review method and qualitative descriptive analysis to collect and analyze data on lecturers' strategies for strengthening classroom interaction in the era of AI and technology in English language teaching. The results of this study show that the utilization of technology and the micro-ethnography approach in education, including in the English Education study program, is crucial to strengthen classroom interaction in the digital era. Technologies such as AI provide opportunities to understand students' learning preferences more personally, while micro-ethnography approaches help lecturers create inclusive and adaptive learning experiences. Keywords: AI; Learning Interaction; Micro-Ethnography; Technology

Authors

Institutions

Publication Details

Journal
IDEAS Journal on English Language Teaching and Learning Linguistics and Literature
Published
2025-04-02
DOI
https://doi.org/10.24256/ideas.v13i1.6133
Primary Topic
Online and Blended Learning
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Micro-Ethnography Approach in Using Technology to Support Learning Interaction

Anita Triastuti, Joko Priyana, Yogi Novario Nandes
IDEAS Journal on English Language Teaching and Learning Linguistics and Literature
Online and Blended Learning
article

Micro-Ethnography Approach in Using Technology to Support Learning Interaction

Anita Triastuti, Joko Priyana, Yogi Novario Nandes
article en

Abstract

Technological and Artificial Intelligence (AI) development provides challenges and opportunities for lecturers to create dynamic and relevant classroom engagements, especially in courses that demand intensive communication skills, such as English Education. A micro-ethnography approach can help lecturers analyze social engagements in the classroom in detail, adapt their teaching style, and increase student engagement by combining technology and a personal approach. This study aims to explore lecturers' strategies for strengthening classroom interaction in English Education study program using the micro-ethnography approach in the era of technology and AI. This research uses the literature review method and qualitative descriptive analysis to collect and analyze data on lecturers' strategies for strengthening classroom interaction in the era of AI and technology in English language teaching. The results of this study show that the utilization of technology and the micro-ethnography approach in education, including in the English Education study program, is crucial to strengthen classroom interaction in the digital era. Technologies such as AI provide opportunities to understand students' learning preferences more personally, while micro-ethnography approaches help lecturers create inclusive and adaptive learning experiences. Keywords: AI; Learning Interaction; Micro-Ethnography; Technology

IDEAS Journal on English Language Teaching and Learning Linguistics and LiteratureVol. 13(1)
Yogyakarta State University (ID)
Universitas Negeri Yogyakarta, Lembaga Pengelola Dana Pendidikan
Openalex Percentile: Top 88%
Online and Blended Learning
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.