127 A Bibliometric Analysis of Computational Mapping on Publishing Teaching Science Engineering Using VOSviewer Application and Correlation Nik Abdul Hadi Md Nordin Universiti Teknologi PETRONAS, Jl Persiaran UTP, 32610 Seri Iskandar, Perak, Malaysia Correspondence: E-mail: nahadi.sapiaa@utp.edu.my A B S T R A C T S A R T I C L E I N F O The purpose of this study was to describe the development of research in the field of teaching science engineering using VOSviewer. This research was conducted by creating a journal database from the Publish or Perish application and managed with the VOSviewer application to classify and visualize the database using the keyword of “Teaching Science Engineering” in the last 10 years (form 2012-2021). A total of 998 articles related to teaching science engineering were analysed and mapped. Based on the mapping results, three terms were obtained, namely “Mathematics” which was associated with 51 links and 335 link strengths; “Engineering Education” associated with 49 links and 146 link strengths; and “Science Technology Engineering Mathematics (STEM)” associated with 48 links and 270 link strengths, respectively. In addition, an analysis of the findings showed that teaching science engineering research in 2012-2016 experienced fluctuating developments. Meanwhile, from 2017 to 2021, teaching science engineering research continues to experience a significant decline. The significant decline in 2019-2021 occurred due to pandemic conditions that impacted the teaching of science engineering related to direct practice in the field. Therefore, it is hoped that the study can help and become a reference for researchers in conducting and determining the research themes to be taken. © 2022 Universitas Pendidikan Indonesia Article History: Received 03 Mei 2022 Revised 28 Mei 2022 Accepted 01 Jun 2022 Available online 09 Jun 2022 ____________________ Keyword: Bibliometric analysis, Computational mapping analysis, Teaching science engineering, VOSviewer. Indonesian Journal of Teaching in Science Journal homepage: http://ejournal.upi.edu/index.php/ IJOTIS/ Indonesian Journal of Teaching in Science 2(2) (2022) 127-138 IJOTIS Nordin, A Bibliometric Analysis of Computational Mapping on… | 128 DOI: http://dx.doi.org/10. 17509/xxxx.xxxx p- ISSN 2776-6101 e- ISSN 2776-6152 1. INTRODUCTION Teaching science is something that must be done by students. It is not something that is done to students (Novak & Wisdom, 2018). Teaching science requires students to learn actively which is implied in physical or mental activities, not only including hands-on activities but also minds-on (Barak, 2020; Arik & Topçu, 2020). Science skills are very important because they are used to study natural phenomena in a certain way to gain knowledge and the development of science and technology is increasingly rapid (Rusyani et al., 2021). Engineering is a growing field of study that is becoming increasingly important for the development of technology and industry (Nandiyanto et al., 2021). Engineering has played an important role in the industrial era, especially in efforts to develop and engineer efficient industries (Al Husaeni & Nandiyanto, 2022a). The development of the engineering field that continues to grow can help workers become more effective and efficient (Nandiyanto et al., 2021; Al Husaeni & Nandiyanto, 2022a). Therefore, students need to develop science and technology skills because of their enormous benefits in future life. By providing engineering and science teaching, students are not only good at theory but also skilled in applying the theory they get to solve the problems they face (Arik & Topçu, 2020; Jain et al., 2018; Klofsten et al., 2021). There have been many types of research in the field of teaching science engineering that has been published such as research conducted by Ozaktas (2013) regarding teaching to complement engineering programs in the field of science, research conducted by Karisan et al. (2019) which examined the effects of teaching engineering in the field of science, and research conducted by Kaya et al. (2017) which investigated the integrated science teaching in engineering design. Although a lot of research has been done on teaching science, there is no research on bibliometric analysis in the field of teaching science teaching research, especially using VOSviewer software as a tool for mapping. This analysis is important because it can determine the number of research developments. Therefore, the purpose of this study is to analyze teaching science engineering research which was mapped using VOSviewer software. This research is expected to help and be a source for researchers in determining research topics, especially in the field of teaching science engineering. 2. METHOD In this study, the article data used was data from international research publications indexed by Google Scholar. Publication data from the Google Scholar database was filtered and collected using the Publish or Perish application (as the application reference manager). The keyword “Teaching Science Engineering” is used to search for relevant articles published from 2012 to 2021, which are then saved in CSV and *ris formats. Data in CSV format were analyzed using Excel in the form of the number of publications per year, origin, and subject. Meanwhile, data in *ris format is processed using the VOSviewer application to visualize and analyze trend relationships in the form of networking, density, and bibliometric visualization overlays. In addition, we also filter the terms that will be included in the VOSviewer network mapping visualization and also analyses the difference in the number of publications each year, and classifies the 20 articles with the highest number of citations in each publisher from 988 articles. More detailed information regarding software installation and a step-by-step process for obtaining data as described in our previous studies (Nandiyanto et al., 2021; Al Husaeni & Nandiyanto, 2022a; Al Husaeni & Nandiyanto, 2022b). http://dx.doi.org/10.%2017509/xxxx.xxxx http://dx.doi.org/10.%2017509/xxxx.xxxx http://dx.doi.org/10.%2017509/xxxx.xxxx 129 | Indonesian Journal of Teaching in Science, Volume 2 Issue 2 September 2022 Hal 127-138 DOI: http://dx.doi.org/10.17509/xxxx.xxxx p- ISSN 2776-6101 e- ISSN 2776-6152 3. RESULTS AND DISCUSSION 3.1 Publication Data Research Development in the Field of Teaching Science Engineering Table 1 is the result of filtering data on articles that have been published for 10 years (from 2012 to 2021) using the publish or perish reference manager, which obtained 998 articles that match the keyword criteria. The data obtained is in the form of metadata with the following information: author's name, title, year, journal name, publisher, number of citations, article links, and related URLs. Figure 1 shows the development of research on teaching science engineering for 10 years in the period 2012-2021. Based on Figure 1, it is known that in 2012- 2017 the number of articles researching the teaching of engineering and science experienced fluctuating changes with the number of articles sequentially 123, 126, 144, 134, 144, 127 publications per year. While the number of articles in 2018-2021 experienced a very drastic decrease with the number of articles 90, 66, 37, and 9 publications per year. The main reason for the significant decline that occurred in 2019-2021 was due to the COVID-19 pandemic because it had an impact on science engineering teaching activities which required practice in the field. Table 1. Development of teaching science engineering research. Year of Publication Number of Publications 2012 123 2013 126 2014 144 2015 134 2016 142 2017 127 2018 90 2019 66 2020 37 2021 9 Total 988 Figure 1. Development of international publications teaching science engineering research topics. about:blank about:blank about:blank about:blank about:blank about:blank about:blank about:blank about:blank about:blank about:blank about:blank about:blank about:blank about:blank Nordin, A Bibliometric Analysis of Computational Mapping on… | 130 DOI: http://dx.doi.org/10. 17509/xxxx.xxxx p- ISSN 2776-6101 e- ISSN 2776-6152 Table 2 depicts the classification of related articles with the highest number of citations. Based on the article data in Table 2 obtained from 2012 to 2021, 20 articles with the highest number of citations were obtained. The number of citations from all articles used in this study was 17,445, the number of citations per year was 2,365.43, the number of citations per article was 2.8, and the average of the authors in the articles used was 3.0. Table 2. Teaching science engineering topics data. No Number Citation Title Publisher Year Authors 1 2698 Doing a thematic analysis: A practical, step-by-step guide for learning and teaching scholars ojs.aishe.org 2017 Maguire, M., and Delahunt, B. (2017) 2 1780 Case studies and the flipped classroom. JSTOR 2013 Herreid, C. F., and Schiller, N. A. (2013) 3 1206 A conceptual framework for integrated STEM education Springer 2016 Kelly and Schiller (2013) 4 1026 Defining computational thinking for mathematics and science classrooms. Springer 2016 Weintrop et al., (20160 5 937 Considerations for teaching integrated STEM education docs.lib.purdue.edu 2012 Stohlmann et al., (2012) 6 885 Teaching and learning with technology: Effectiveness of ICT integration in schools International journal of research in education and science 2015 Ghavifekr, and Rosdy (20150 7 838 Additive manufacturing: current state, future potential, gaps and needs, and recommendations asmedigitalcollectio n.asme.org 2015 Huang et al., (2015) 8 806 A review of technological pedagogical content knowledge JSTOR 2013 Chai et al. (2013) 9 770 Cooperative learning: Improving university instruction by basing practice on validated theory karlsmithmn.org 2014 Johnson et al. (2014) 10 664 Challenges to learning and schooling in the digital networked world of the 21st century Wiley Online Library 2013 Voogt et al. (2013) 11 629 Student learning and perceptions in a flipped linear algebra course Taylor & Francis 2014 Love et al. (20140 12 624 Attitudes towards science, technology, engineering and mathematics (STEM) in a project- based learning (PjBL) environment Springer 2013 Tseng et al. (2013) 13 611 Science aspirations, capital, and family habitus: How families shape children's engagement and identification with science journals.sagepub.co m 2012 Archer et al., (2012) http://dx.doi.org/10.%2017509/xxxx.xxxx http://dx.doi.org/10.%2017509/xxxx.xxxx http://dx.doi.org/10.%2017509/xxxx.xxxx 131 | Indonesian Journal of Teaching in Science, Volume 2 Issue 2 September 2022 Hal 127-138 DOI: http://dx.doi.org/10.17509/xxxx.xxxx p- ISSN 2776-6101 e- ISSN 2776-6152 Table 2 (Continue). Teaching science engineering topics data. No Number Citation Title Publisher Year Authors 14 610 Computer simulations to support science instruction and learning: A critical review of the literature Taylor & Francis 2012 Smetana and Bell (2012) 15 581 An elitist teaching-learning- based optimization algorithm for solving complex constrained optimization problems growingscience.com 2012 Rao and Patel (2012) 16 580 The informed design teaching & learning matrix teep.tufts.edu 2012 Crismond and Adams (2012) 17 572 Teaching scientific practices: Meeting the challenge of change Taylor & Francis 2014 Osborne (2014) 18 569 How science, technology, engineering, and mathematics (STEM) project-based learning (PBL) affects high, middle, and low achievers differently: The impact of student factors on achievement Springer 2015 Han et al. (2015) 19 530 Making a difference in science education: the impact of undergraduate research programs journals.sagepub.com 2013 Eagan et al., (2013) 20 529 A meta-analysis of the efficacy of teaching mathematics with concrete manipulatives. psycnet.apa.org 2016 Carbonneau et al. (2013) 3.2 Visualization Teaching Science Engineering Topics using VOSviewer Figure 2 shows the network of visualized terms based on the research topic of teaching science engineering. In the network visualization, relationships are represented by networks or lines connecting one term to another. Based on the results of the analysis of the mapping of terms into 4 main clusters with a total of 58 items. Each cluster is marked with a different color. Cluster 1 marked in red consists of 21 items, namely articles, cases, covid, effectiveness, engineering education, engineering faculty, higher education, implementation, instruction, literature, need, PBL, quality, review, robotic, social science, sustainability, systematic review, teaching method, tool, and use. Based on Figure 3, “engineering education” is the main node in the cluster. about:blank about:blank about:blank about:blank about:blank about:blank about:blank about:blank about:blank about:blank about:blank about:blank about:blank about:blank about:blank Nordin, A Bibliometric Analysis of Computational Mapping on… | 132 DOI: http://dx.doi.org/10. 17509/xxxx.xxxx p- ISSN 2776-6101 e- ISSN 2776-6152 Figure 2. Network visualization based on co-word of teaching science engineering research topics. Figure 3. Network visualization of cluster 1. Cluster 2 is marked in green, consisting of 15 items, namely application, biology, chemistry, concept, engineering design, engineering practice, evidence, factor, importance, inquiry, nature, physics, science education, science teaching, and teaching science. Based on Figure 4, “science teaching” is the main node in the cluster. http://dx.doi.org/10.%2017509/xxxx.xxxx http://dx.doi.org/10.%2017509/xxxx.xxxx http://dx.doi.org/10.%2017509/xxxx.xxxx 133 | Indonesian Journal of Teaching in Science, Volume 2 Issue 2 September 2022 Hal 127-138 DOI: http://dx.doi.org/10.17509/xxxx.xxxx p- ISSN 2776-6101 e- ISSN 2776-6152 Figure 4. Network visualization of cluster 2. Cluster 3, which is marked in blue, consists of 12 items, namely active learning, assessment, biology, chemistry, concept, engineering design, engineering practice, evidence, factor, case study, computer science, data, electrical engineering, engagement, engineering course, engineering student, ICT, problem, and project. Based on Figure 5, “project” is the main node in the cluster. Figure 6. Network visualization of cluster 4. about:blank about:blank about:blank about:blank about:blank about:blank about:blank about:blank about:blank about:blank about:blank about:blank about:blank about:blank about:blank Nordin, A Bibliometric Analysis of Computational Mapping on… | 134 DOI: http://dx.doi.org/10. 17509/xxxx.xxxx p- ISSN 2776-6101 e- ISSN 2776-6152 Cluster 4, which is marked in yellow, consists of 10 items, namely effect, integration, lesson, math, mathematics, science course, stem, stem education, and stem integration. Based on Figure 6, “mathematics” is the main node in the cluster. Figure 5. Network visualization of cluster 3. 3.3 Overlay Visualization of Teaching Science Engineering Keyword Overlay visualization describes the relationship between terms classified according to the research time (Nandiyanto et al., 2021). Figure 6 depicts research trends in the chemical industry from 2012 to 2021. Based on Figure 6 shows that research on science engineering education was mostly carried out from 2012 to 2017. From the results of the overlay visualization, it shows that the term science engineering education in research has been around for quite a long time. Meanwhile, research on science engineering education has not yet been developed, namely the term covid and effectiveness. Figure 6. Overlay visualization of teaching science engineering keywords. http://dx.doi.org/10.%2017509/xxxx.xxxx http://dx.doi.org/10.%2017509/xxxx.xxxx http://dx.doi.org/10.%2017509/xxxx.xxxx 135 | Indonesian Journal of Teaching in Science, Volume 2 Issue 2 September 2022 Hal 127-138 DOI: http://dx.doi.org/10.17509/xxxx.xxxx p- ISSN 2776-6101 e- ISSN 2776-6152 3.4 Density Visualization of Teaching Science Engineering Keyword Figure 7 is a density visualization that depicts research that is often done based on keywords. Based on the visualization of Figure 7, it shows that the more frequently the keywords are used for research, the brighter the yellow color, the larger the diameter of the circle, and the tighter it is. While research with keywords that are slightly marked with faded yellow color. From Figure 7, it concluded that several studies are often carried out using keywords stem, mathematics, science teaching, and engineering teaching. Figure 7. Density visualization of teaching science engineering keywords. 4. CONCLUSION This study aims to perform computational mapping analysis using bibliometric techniques in the field of teaching science engineering. The articles collected came from the Google Scholar database through the Publish Perish application with the keywords "teaching science engineering. The metadata obtained were 998 articles published from 2012 to 2021. The bibliographic data of this research consisted of titles, topics, keywords, years, publishers, and authors. 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