Seyedh Mahboobeh Jamali

In the educational process, quality has long been considered a critical component. It may get impacted due to different factors especially when talking about the COVID19 pandemic. The purpose of this investigation is to explore the impact and relationship between COVID-19 and the quality of education using bibliometric analysis. As face-to-face learning shifts to online learning, this research investigates how the COVID-19 epidemic has affected education quality, concentrating on Programme Educational Outcomes (PEOs), Programme Learning Outcomes (PLOs), and Course Learning Outcomes (CLOs). The research covers pandemic online education, literature, and trends. There are two important steps in any bibliometric analysis selecting keywords and databases. The initial set of keywords was selected by the authors' experience and then an online survey study through Google Forms was conducted among experts in the research area. This was followed by a search of the selected keywords in the databases consisting of PubMed, Web of Science (WoS), and SCOPUS. Therefore, the final data was collected from the SCOPUS database on August 24, 2021. Hence, 182 documents were considered for the current study. The document's data were analysed by using the “visualization of similarities” (VOS) Viewer software and the R-Tool of the Bibliometrix-package that was specifically designed for quantitative Bibliometrics research. Based on the obtained data, the results showed the quality of education that may get impacted by the changing of the education delivery from face-to-face to online-based learning. In conclusion, this study showed the importance of studying the correlation and impact of COVID-19 on the quality of education.

Rose Oxide is a monoterpene along with cyclic ether used in fragrance to produce rosy notes, in general, there are 4 stereoisomeric structures of the Rose Oxide, which the cis-configured Rose Oxide has a very unique and strong note in perfumery. In this review, several approaches were reported on account of the Rose Oxide applied in perfumery from 1864 to 2019 via quantitative and qualitative approaches.

Time-series classification is utilized in a variety of applications leading to the development of many data mining techniques for time-series analysis. Among the broad range of time-series classification algorithms, recent studies are considering the impact of deep learning methods on time-series classification tasks. The quantity of related publications requires a bibliometric study to explore most prominent keywords, countries, sources and research clusters. The paper conducts a bibliometric analysis on related publications in time-series classification, adopted from Scopus database between 2010 and 2019. Through keywords co-occurrence analysis, a visual network structure of top keywords in time-series classification research has been produced and deep learning has been introduced as the most common topic by additional inquiry of the bibliography. The paper continues by exploring the publication trends of recent deep learning approaches for time-series classification. The annual number of publications, the productive and collaborative countries, the growth rate of sources, the most occurred keywords and the research collaborations are revealed from the bibliometric analysis within the study period. The research field has been broken down into three main categories as different frameworks of deep neural networks, different applications in remote sensing and also in signal processing for time-series classification tasks. The qualitative analysis highlights the categories of top citation rate papers by describing them in details.

Science, Technology, Engineering and Mathematics (STEM) Project-Based Learning (PjBL) is increase effectiveness, create meaningful learning and influence student attitudes in future career pursuit. There are several studies in the literature reporting different aspects of STEM into a PjBL pedagogy. However, the effect of implementing STEM PjBL in terms of improving students’ skills in self-efficacy levels in physics mechanics at high school level has not been demonstrated as expected in the previous literature. This study followed a quasi-experimental research method. Bandura’s social cognitive theory is used to assess and compare the effect of STEM PjBL with conventional teaching method on students’ self-efficacy level in learning physics among over 100 high school students. The result illustrated that STEM PjBL improve students’ self-efficacy to solve physics problem. Also, the study proposes a guideline for future research.

The main goal of education is to prepare students for future job opportunities and civic responsibilities, and this is one of the biggest challenges in the 21st century. Science, Technology, Engineering, and Mathematics (STEM) Project-Based Learning (PjBL) prepare students to master their new role as a global citizen with greater responsibilities. This systematic review analyzed 265 papers that are related to the STEM PjBL. The papers were collected from well-known databases such as Web of Science® and SCOPUS by using the quality assessment and relevant criteria. This study inspected the top 48 distinguished papers by covering three dimensions, Search result, Subject, and Research methodology. STEM and PjBL come together, due to the natural overlap between the fields of Science, Technology, Engineering, Mathematics and PjBL. The fully integrated STEM with PjBL can increase the effectiveness of teaching. Nonetheless, this inspection uncovered that previous research has not fully integrated STEM with PjBL. Thus, despite the wealth of existing research, there are still significant opportunities for future research on STEM PjBL in high schools to prepare students for 21st century challenges.Keywords: Enhanced teaching and learning, 21st century skills, project-based learning STEM, systematic literature reviewsCite as: Jamali, S.M., Md Zain, A.N., Samsudin, M.A., & Ebrahim, N.A. (2017). Self-efficacy, scientific reasoning, and learning achievement in the STEM project-based learning literature. Journal of Nusantara Studies, 2(2), 29-43.