Momentum: Physics Education Journal

The effect of design-based STEM learning on students' scientific creativity in solar energy topic

Nala Lidya, Hulwah Habibah, Ahmad Suryadi — Tue, 09 Apr 2024 00:00:00 +0700

This study aims to investigate the effect of design-based STEM learning on students' scientific creativity in the context of solar energy. The study involved 64 tenth-grade students from a public Madrasah Aliyah in Jakarta, who were split into two groups: an experimental group that used design-based STEM learning and a control group that used conventional learning. Both groups were given a scientific creativity posttest in the form of seven open-ended questions. The study results showed that the experimental group's average scientific creativity score was higher than the control group's. Furthermore, the subdimensions analysis revealed that the experimental group's flexibility and originality significantly affected their scientific creativity. The study shows that design-based STEM learning positively impacts students' scientific creativity in the context of solar energy, although with a low category. This research can be a reference for future research to investigate the influence of design-based STEM learning on students' scientific creativity in various contexts.

Bibliometric analysis: Trends of gamification in physics learning from 2019 to 2023

Tue, 09 Apr 2024 00:00:00 +0700

This research aims to analyze research trends related to the topic of Gamification from 2019 to 2023* through bibliometric analysis using the Scopus database. Based on the criteria, 56 articles were obtained from 326 documents. These articles have been translated from international journals indexed by Scopus. The selection references were then managed using reference management software, namely Mendeley. After working on the database, this research classifies and visualizes it using VOSviewer software. The results indicate that Gamification research is gradually increasing every year. The United States, China and Japan contribute the most research globally. Visualizing gamification research trends for 2019-2023* reveal six clusters. The results of this research can support researchers regarding Gamification research trends worldwide and provide direction for further research. Overall, these reflections provide an excellent reference point for further research on Gamification.

Exploration of computational thinking skills: A case study of islamic senior high school students

Amrizaldi Amrizaldi, Lia Yuliati, Edi Supriana, Markus Diantoro, Lilia Halim — Sun, 17 Mar 2024 00:00:00 +0700

This study aims to identify madrasah students' Computational Thinking (CT) skills on temperature and heat material. This research was conducted using a qualitative descriptive method using 5 CT-test essay questions to 53 grade XI IPA one of the Islamic Senior High School in Probolinggo. Data analysis techniques in research consist of 3 stages: data reduction, data presentation, and conclusions. Data analysis showed indicators of students' CT skills on a scale of 5 consisting of decomposition 3.90, recognition pattern 3.63, abstraction 2.83, and algorithm 2.37. Based on the study’s results, it can be concluded that the CT skills of the Islamic Senior High School in Probolinggo at temperature and heat are included in the medium category. Several indicators of CT skills are still challenging for students, especially in developing algorithms and abstractions. Some students need help identifying the steps to solve complex problems in understanding abstraction concepts and algorithms. In this case, practice, intensive tutoring, and student collaboration can help improve students' skills to overcome these difficulties.

Scaffolding as a cognitive load reduction strategy for teaching atomic and nuclear physics

Eric Appiah-Twumasi — Sun, 17 Mar 2024 00:00:00 +0700

This study investigated the effectiveness of scaffolding as a cognitive load reduction strategy for teaching Atomic and Nuclear Physics. This study was carried out with the participation of university physics students (n = 20) enrolled in the B.Sc. Physics Education Programme. A quasi-experimental one-group pre-test-post-test design was used to collect both quantitative and qualitative data on physics students’ conceptual understanding and learning dispositions about Atomic and Nuclear Physics. The intervention consisted of a university academic calendar of one semester (2022-2023) using scaffolding as a cognitive load reduction strategy. The baseline assessment revealed that the respondents had incorrect, partial, and no knowledge of electron transition and radioactivity-related concepts. However, the post-test analysis revealed a mean score of 7.22 (SD = 0.31) that can be considered significant (p < 0.05) and a large effect of 0.79 on the conceptual understanding of the participants in Atomic and Nuclear Physics. The study findings also revealed that the participants' factual, conceptual, procedural, and meta-cognition about Atomic and Nuclear Physics improved after using scaffolding as a cognitive load reduction strategy. The results further revealed an improved learning disposition about Atomic and Nuclear Physics among the participants after the intervention. The participants articulated, among others, that the use of scaffolds as a cognitive load reduction strategy stimulated their interests, made the topic more enjoyable, and reduced their sense of hopelessness. The author accordingly recommends scaffolding as a cognitive load reduction strategy to physics educators for effective teaching and learning in the context of Atomic and Nuclear Physics.

Conflict between physical analysis and mathematics causing failure: A case on diode circuits

Sun, 17 Mar 2024 00:00:00 +0700

This study aims to describe the causes of students' failures in solving diode circuit problems. Research data were obtained through tests, dialogs, and interviews with 12 students of the physics education study program at Universitas PGRI Madiun. The research began by providing diode circuit test questions. Referring to the answers to the diode circuit test questions, an investigation was conducted through a basic circuit mastery test, followed by dialogs and interviews. The data from the test results, dialogs, and interviews in this study led to the conclusion that the common causes of students' failures in solving diode circuit problems are the inability to apply Ohm's law and Kirchhoff's law correctly, as well as the inconsistency and lack of systematic application of basic circuit concepts. A specific finding regarding the causes of failure in solving diode circuit problems is the conflict between physical and mathematical analyses. Based on the common causes of students' failures in solving diode circuit problems, a series of conceptual scaffolding needs to be designed. In conceptual scaffolding, complex circuits are transformed into several basic circuits to facilitate scaffolding for each basic concept. Procedural scaffolding needs to be designed to address failures resulting from the conflict between physical and mathematical analyses. One necessary step in procedural scaffolding is confirming answers using Kirchhoff's law.

Computational mapping analysis of artificial intelligence in education publications: A bibliometric approach utilizing vosviewer

Fanny Rahmatina Rahim, Ari Widodo — Tue, 26 Mar 2024 00:00:00 +0700

In recent years, interest in the application of AI in education has increased significantly. However, there has been no research explaining the research trends in this area through bibliometric analysis. The goal of this study was to undertake a bibliometric analysis to look at how research on artificial intelligence (AI) in education has evolved. This study used open access bibliometric software for conducting exploratory research and discovering new research directions. It focuses on VOSviewer, a freely available software tool designed to analyze and visualize bibliometric relationships across various variables. Starting with existing examples, the paper then presents an original case study utilizing bibliometrics to investigate the impact of AI on education. Using Scopus data and VOSviewer, this case study analyzes and compares co-occurrence patterns among publications over a decade, showcasing how such software can effectively support preliminary investigations and influence more formal research endeavors.

What do my students need? Deep analysis of student's individual cognitive ability using person diagnostic map

Wed, 24 Apr 2024 00:00:00 +0700

This research aims to evaluate students' conceptual understanding in the field of physics, focusing on the concepts of heat and temperature, using the Person Diagnostic Map (PKMAPs) approach. This method allows individual assessment of students' conceptual understanding, going beyond the limitations of conventional analysis methods that focus on groups. This research used a survey involving eight students from a private university in Yogyakarta, Indonesia. Data was collected through a multiple-choice test of 20 items, processed using Ms. Excel and Winsteps 4.6.1. The research results show that PKMAPs are effective in identifying individual student understanding, including detecting "correct" response patterns resulting from guessing or cheating, as well as "incorrect" response patterns caused by incompetence or inaccuracy. This information allows educators to determine appropriate teaching methods, including remediation, re-teaching, or enrichment, according to each student's individual needs. This research concludes that using the Person Diagnostic Map in the context of physics education provides a more personal and effective approach to analyzing students' conceptual understanding. This method provides deeper insight into students' individual strengths and weaknesses, facilitating more focused and effective learning planning.