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Bayu Setiaji

Publications and source records attributed to Bayu Setiaji.

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The Physics of Gudeg: Learning the Mechanics and Thermal Properties Using Collaborative Project based Activities for the High School Physics

In this paper, we describe a presentation on the physics of Gudeg, a traditional food from Indonesia specifically originated in the Special District of Yogyakarta. This learning context is designed for the high school physics curricula. The physics presentation focuses on the making processes of Gudeg. Qualitative interviews with Gudeg makers were carried out by the researchers to thematize the process of making Gudeg and highlight its educational connections for the physics learning. Five extracted learning themes are how the density concept behind peeling the jackfruit skin (main Gudeg ingredient), how the relation between the Youngs modulus concept and the jackfruit sections, how the texture-torque experiment of the sweet and tasty gudeg, how the effect of boiling mechanism on the texture of the jackfruit, and how the conduction and convection of the preserved Gudeg. Using our learning strategy which is so-called Collaborative Project based Teaching, we provide simple experimentations and demonstrations of the physical concepts behind these Gudeg processes that are promising for conceptual physics learning by managing triple educational roles between teachers, students, and Gudeg practitioners. This approach can be generally adopted beyond physics to promote the excitement of traditional knowledge which can enhance pedagogical approach in educational setting.

physics.ed-ph

Exploring gender differences in the Force Concept Inventory using a random effects meta-analysis of international studies

The force concept inventory (FCI) is one of the research-based assessments (RBAs) established by the physics education research (PER) community to measure students' understanding of Newtonian mechanics. Former works have often recorded the notion of gendered mean FCI scores favoring male students notably in the North America (NA) based studies. Nevertheless, these performance gaps remain inconclusive and unexplored outside the NA context. This paper aims to fill this gap by meta-analyzing the mean FCI scores between gender based on the existing PER literature beyond the NA context. We analyzed the magnitude and direction on the mean FCI scores between gender on the basis of primary international studies published over the last two decades. We also explored the moderating impact of international study characteristics on the meta-analytic findings by performing a subgroup analysis to study the different study regions stratified by two subgroups (NA vs non-NA authors). Thirty-eight studies reporting the mean FCI scores by gender were included in the present meta-analysis. We employed Hedges' g statistic to estimate to what degree the mean FCI scores may be different between male and female students on each study. Under a random effects model, we meta-analyzed the findings and conducted a subgroup analysis to answer the research questions. In summary, our meta-analysis indicated a significantly positive and moderate amount of gendered mean FCI scores in favor of male students both in NA- and non-NA based regions, and the performance gaps were wider in the NA-based studies. Suggestions are discussed for promoting gender fairness in the FCI when interpreting its scores for teaching, learning, and forthcoming studies.

physics.ed-ph

Using multilevel modeling to evaluate science literacy and technology course of the Indonesian non-science students

Science literacy is being fostered by science education community including the Indonesian education system. Science literacy and technology course has been designed and implemented to strengthen the national initiative empowering scientifically literate Indonesian society. This paper is intended to evaluate to what degree this course can be performed by non-science undergraduate students (N = 160) considering the nested structure of students' department and faculty setting. Multilevel modeling thus was employed to conduct the analysis dealing with this nature. The first level analysis involved students' performance and affective attribute measured using demonstrated science literacy assessment (SLA-D) and motivational beliefs (SLA-MB) respectively. The subsequent level analysis comprised demographic factors gathered from institutional record. Findings demonstrated that the impact of demographic factor to the students' performance on science literacy was not substantial. Different setting of students' department and faculty level drove the association between affective factor and learning process toward science literacy course substantially. Multilevel approach has controlled the equitable student assessment within the nature of students' data structure. This paper suggests many implications to open ideas regarding educational data analysis and to examine the effectiveness of science literacy course for the higher institution specifically for non-science majors.

physics.ed-ph