Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Thematic Analysis of Indonesian Physics Education Research Literatures Using Machine Learning

Version 1 : Received: 9 August 2022 / Approved: 10 August 2022 / Online: 10 August 2022 (09:42:09 CEST)

How to cite: Santoso, P.H.; Istiyono, E.; Haryanto, H.; Hidayatulloh, W. Thematic Analysis of Indonesian Physics Education Research Literatures Using Machine Learning. Preprints 2022, 2022080198 (doi: 10.20944/preprints202208.0198.v1). Santoso, P.H.; Istiyono, E.; Haryanto, H.; Hidayatulloh, W. Thematic Analysis of Indonesian Physics Education Research Literatures Using Machine Learning. Preprints 2022, 2022080198 (doi: 10.20944/preprints202208.0198.v1).

Abstract

Emergent physics education research (PER) literatures have been disseminated through academic publications within the community. The growing body of literatures over years challenge Indonesian PER scholars to understand how the research community has been progressed and what possible future work that should be emphasized. Nevertheless, previous traditional method of thematic analysis performed serious limitation when the number of PER literatures exponentially increased. Dealing with this large volume of publications, one of the machine learning studies namely natural language processing (NLP) was employed in this study to automate our thematic analysis among Indonesian PER literatures that are still limited to be explored. One of the well-known NLP algorithm, latent Dirichlet allocation (LDA), has been performed to extract Indonesian PER topics and their associated development between 2014 and 2021. A total of 852 papers (~ 4 to 8 pages each) were collectively downloaded from five international conference proceedings organized by Indonesian PER researchers. Before their topics were modeled through LDA algorithm, our data corpus should be previously preprocessed through several common procedures of established NLP studies. Findings revealed that LDA has thematically quantified Indonesian PER topics and described their distinct development over certain period. The identified topics from this study demonstrated that Indonesian PER community has established robust development in eight distinctive topics to the present. They begin with initial interest in focusing research on physics laboratory and following the research based instruction in the late 2015. Indonesian PER scholars sustained to study continuous topic on 21st century skill until 2019 which gave way to a focus on developing relevant educational technology to address several forms of students’ performance including scientific literacy and problem solving. There is still lack of Indonesian PER literatures that have been attempted to address qualitative aspects of physics teaching and learning.

Keywords

thematic analysis; Indonesia; physics education research; natural language processing

Subject

SOCIAL SCIENCES, Education Studies

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