Chemistry Learning Research Articles

The effect of REACT model implementation on learning outcomes and critical thinking skills of students of SMAN 9 KENDARI

Quality human resources will be formed if education focuses on improving students’ skills. Of course, the foundation of education must be quality. Qualified human resources will later be responsible for making Indonesia a good country in all fields. This study aims to examine the effect of applying the REACT learning model (Relating, Experiencing, Applying, Cooperating, Transferring) on learning outcomes and critical thinking skills of students of SMAN 9 KENDARI. Quantitative research method with experimental research type. The research design used was post experimental control design. The research location was at SMAN 9 KENDARI. The instruments used include learning outcomes test and critical thinking skills test. The data obtained were explained using statistical tests to see the differences between the experimental group and the control group in chemistry subjects. The results showed that the application of REACT model significantly improved students’ learning outcomes and critical thinking skills compared to conventional learning methods in chemistry subjects. The findings indicated that the REACT model was effective in improving the quality of learning and developing critical thinking skills of students of SMAN 9 KENDARI, especially in chemistry learning.

Assessing Student Teachers’ Motivation and Learning Strategies in Digital Inquiry-Based Learning

Over the past two decades, teachers have adopted several teaching and learning strategies for motivating students to learn chemistry. Learning chemistry in context enables students to develop richer crosscutting learning experiences relevant to contributing to solving problems. A qualitative case study method was adopted to examine student teachers’ experiences in digital inquiry-based learning. Questionnaires with closed-ended and open-ended questions were used to evaluate student teachers’ motivational orientations and learning strategies during a general chemistry course for one month. The results show that student teachers utilized varied perspectives such as self-efficacy, task value, and intrinsic goals to elaborate their learning for knowledge construction and application when performing collaborative tasks. The approach enables students to receive maximum support and feedback from instructors who use pedagogical styles to self-direct them during class discussions, which enhances their active participation in learning with the learning materials. The findings provide a practical insight into instructional strategies in delivering chemistry concepts when students are motivated to use and adopt varied learning strategies.

Chemistry Learning Innovation: Implementation of Chemistry Learning Based on Cross-Cultural Religious Literacy as an Alternative to Building an Attitude of Religious Moderation

Chemistry Learning Innovation: Implementation of Chemistry Learning Based on Cross-Cultural Religious Literacy as an Alternative to Building an Attitude of Religious Moderation

An Investigation of High School Students’ Attitudes and Perceptions About the Diversity of Scientific Methods in Chemistry Learning

An Investigation of High School Students’ Attitudes and Perceptions About the Diversity of Scientific Methods in Chemistry Learning

Using AR to Enhance the Learning of Chirality

This study investigates the use of Augmented Reality (AR) to teach the concept of chirality—a fundamental topic in organic chemistry. Building on Cognitive Load Theory (CLT) and previous research on AR’s educational benefits, we designed an AR learning environment to facilitate students’ understanding of chirality by allowing them to interact with and superimpose virtual and physical models of chiral molecules. An initial pilot study involving 11th-grade students revealed positive student attitudes towards AR, with participants reporting enhanced comprehension of chirality and a preference for AR-based learning over traditional methods. The follow-up study refined the AR lesson based on pilot feedback, extending its scope to introduce, rather than review, the concept of chirality. Results indicated significant learning gains, low extraneous cognitive load, and high acceptance of AR technology among students. These findings underscore the potential of AR to support complex spatial learning in chemistry, though further research, such as value-added studies, is recommended to explore the generalizability and long-term impacts of AR on different student populations.

Zero-Shot Discovery of High-Performance, Low-Cost Organic Battery Materials Using Machine Learning.

Organic electrode materials (OEMs), composed of abundant elements such as carbon, nitrogen, and oxygen, offer sustainable alternatives to conventional electrode materials that depend on finite metal resources. The vast structural diversity of organic compounds provides a virtually unlimited design space; however, exploring this space through Edisonian trial-and-error approaches is costly and time-consuming. In this work, we develop a new framework, SPARKLE, that combines computational chemistry, molecular generation, and machine learning to achieve zero-shot predictions of OEMs that simultaneously balance reward (specific energy), risk (solubility), and cost (synthesizability). We demonstrate that SPARKLE significantly outperforms alternative black-box machine learning algorithms on interpolation and extrapolation tasks. By deploying SPARKLE over a design space of more than 670,000 organic compounds, we identified ≈5000 novel OEM candidates. Twenty-seven of them were synthesized and fabricated into coin-cell batteries for experimental testing. Among SPARKLE-discovered OEMs, 62.9% exceeded benchmark performance metrics, representing a 3-fold improvement over OEMs selected by human intuition alone (20.8% based on six years of prior lab experience). The top-performing OEMs among the 27 candidates exhibit specific energy and cycling stability that surpass the state-of-the-art while being synthesizable at a fraction of the cost.

Sustainability Development in the Context of Edible Coating for Fruits and Vegetables in Chemistry Learning: Qualitative Content Analysis

This study aims to develop teaching-learning sequences (TLS) in the context of edible coatings for fruits and vegetables that integrate Education for Sustainable Development (ESD) in economic, environmental, and social aspects. TLS can be applied to create lesson plans or teaching materials in chemistry learning. This research used Qualitative Content Analysis, following four key stages: material collection, descriptive analysis, category selection, and material evaluation. Data were gathered from the analysis of fifty-eight literature sources and validated by five experts in terms of content validity. Validation experts are experienced four lecturers from chemistry education field and one doctoral student. The results of this research are as follows: TLS divided into four sections, postharvest losses, edible coating materials, preparation and characterization of edible coatings, and potential edible coatings to support sustainable living based on SDG-related points Zero Hunger (SDG 2), Good Health and Well-Being (SDG 3), Quality Education (SDG 4), Industry, Innovation, and Infrastructure (SDG 9), Responsible Consumption and Production (SDG 12), Climate Action (SDG 13), and Life on Land (SDG 15). The validation confirmed that the TLS content is appropriate for chemistry learning with ESD content

Analysis of Students Problem Solving Abilities Using Contextual Learning on Colloid Material at SMAS Pertiwi

Many students do not have good problem solving skills in solving problems in everyday life, especially in chemistry learning. Therefore, analysis of students' problem solving abilities is needed to determine the level of problem solving abilities in chemistry learning, especially in colloidal systems material in everyday life. The purpose of this study is to describe how students use cooperative learning, specifically contextual learning, to solve problems. The goals of this study will be accomplished since the data collected will take the shape of words or utterances derived from the outcomes of interviews and Polya's problem-solving abilities. The use of this innovative learning media is supported by a contextual learning model. The type of research used in this study is qualitative research with a descriptive approach. This research procedure includes: (1) preparation stage; (2) implementation stage and (3) Final Stage. The problem solving ability of class XI students of SMAS Pertiwi Medan is at the "very good" level with a total of 24 students and a percentage of 39% of the total 62 students. The difficulty in answering problem solving ability test questions that students often experience is not understanding the story content of the test questions given.

Using text-scrolling to increase student engagement in the STEM classroom: a collaboration

The benefits of using active-learning approaches to increase student engagement and participation in the HE classroom are well known (Allsop et al., 2020). In STEM disciplines specifically, active-learning approaches can contribute to a reduction in achievement gaps for underrepresented students by promoting self-efficacy and a sense of belonging (Kovarik, Robinson and Wenzel, 2022). Despite these benefits, academics in those disciplines may be reluctant to adopt active learning for reasons such as lack of familiarity or more time spent in traditional, lecture-style delivery (Arnaud, 2021). This presentation reported on the outcome of a small-scale pedagogical innovation in one tutorial of a first-year undergraduate theory module in Chemistry. The aim was to increase students’ classroom engagement in the tutorial by using a text-mapping activity with scrolled research papers (Abegglen et al., 2019), with the additional benefit of introducing tutors to this active-learning technique. The transcript of a professional conversation between a Chemistry lecturer and Learning Developer discussing the approach along with slides outlining a typical session were circulated to tutors a week prior to the timetabled tutorial. Qualitative feedback from tutors was presented to indicate the success of the text-mapping activity as a way of increasing student engagement in the tutorial. Insights were also gained about tutors’ own perceptions of pedagogical value and confidence in adopting such approaches in future. Implications were presented for how the first-year tutorials might be redesigned to include more active learning, as well as how Learning Developers can work in collaboration with academic colleagues in STEM programmes.

SCHOOL INFRASTRUCTURE DEVELOPMENT FOR CHEMISTRY EDUCATION AND PUPILS LEARNING OUTCOMES IN CHEMISTRY SUBJECT IN PUBLIC SECONDARY DAY SCHOOLS IN RWANDAA CASE OF RUTSIRO DISTRICT

This research examined students learning results in chemistry courses in public higher-day schools in Rwanda as well as the creation of infrastructure for chemistry education in those schools. In particular, the study defined the infrastructure development for chemistry education in Rwandan public secondary day schools, examined the impact of this infrastructure development on students chemistry learning outcomes, and ascertained the correlation between the two. The study used both qualitative and quantitative techniques in a mixed-methods approach. A total of 662 respondents, comprising 175 instructors and 483 pupils in Rutsiro District, 1 District Director of Education, 1 District Education Officer, and 2 Sector Education Inspectors, were the studys target population. Using Slovins formula, the researcher calculated the sample size of 249 respondents. A pilot study was taken into consideration, and questionnaires and documentation research procedures were employed as instruments of data collecting. Respondents were selected by purposive selecting for district education officials and random sampling for students and instructors. SPSS version 21 was used to evaluate the data, and conclusions were drawn from the responses provided by the participants. Regarding the first objective, the findings show that: 95.3% of respondents either strongly agreed or agreed that the chemistry education infrastructure in public secondary schools is well-developed and used effectively 90.5% of respondents agreed or strongly agreed that facilities and the infrastructure required for chemistry education are available for learning and teaching chemistry subjects in public secondary schools and 85.7% of respondents agreed or strongly agreed that chemistry teachers in public secondary schools are properly trained to use laboratory equipment in conducting scientific experiments in chemistry subjects. Regarding the second goal, the study finds that 98.2% of respondents strongly agreed or agreed that your schools chemistry students now learn more in their classes due to the laboratories and equipment that the schools have developed for chemistry education 82.1 percent strongly agreed or agreed that having well-functioning schools has improved students attention to chemistry concepts and 85.2 percent strongly agreed or agreed that students now have more access to chemistry-related educational resources and materials because of the development of schools infrastructure for chemistry education. Since the p-value for the third aim, which is the creation of school infrastructure for chemistry teaching, is less than 0.05, the results have a positive significance for students learning outcomes in chemistry. The development of chemistry education infrastructure in Rwanda is crucial for students learning outcomes. Recommendations include establishing well-equipped laboratories with modern equipment, ensuring safety measures, designating classrooms for chemistry education, stocking the school library with relevant resources, building a central science laboratory, providing teacher training, collaborating with educational authorities to develop a curriculum aligned with international standards, and establishing a system for assessing students progress in chemistry. These measures will help improve the countrys chemistry education infrastructure and support students in achieving better learning outcomes. The researcher suggested that the next study should focus on addressing gender disparities in chemistry education strategies to promote gender equity in public secondary schools.

The Influence of Problem Based e-Modules on Students' Motivation and Learning Outcomes in Acid-Base Material

The purpose of this study is to ascertain how problem-based online modules affect students' learning results in acid-base chemistry and to determine the correlation of e-modules with motivation and student learning in acid-base materials at SMA Negeri 11 Medan. This research took a sample consisting of 1 group, namely the experimental group in class XI MIPA 6. Tests for normality, homogeneity, hypothesis, and correlation are used in data gathering procedures. After testing, the prerequisite is that the experimental data is normally distributed, for the homogeneous test the experimental class is homogeneous. To test the hypothesis, test is used One Sample T Test, and to test the correlation test is used Product Moment then the data results are obtained for the value hypothesis tcount > ttable, then Ha is accepted and Ho is rejected with the pret-test value in the experimental class, namely X and the post-test value in the experimental class, namely X, correlation test rcount > rtable, then Ha is accepted and Ho is rejected. The findings indicated that learning results were different before and after receiving media therapy in the form of problem-based e-modules. Additionally, the relationship between students' motivation and the chemistry learning results in problem-based e-modules.

Development of An Integrated Assessment Instrument to Measure Students’ Critical Thinking and Chemical Literacy Skills for Rate of Reaction Topic

Critical thinking is one of the 21st-century skills needed. Understanding chemical literacy can encourage students to be able to think more critically. Given the importance of critical thinking and chemical literacy in chemistry learning, there is a need for an assessment instrument that can measure both abilities. Based on this, the integrated assessment instrument was developed to determine the characteristics and feasibility of the integrated assessment instrument that can measure students' critical thinking skills and chemical literacy on reaction rate materials. The sample in this study is 154 students from two high schools in Makassar City. The feasibility and characteristics of the integrated assessment instrument were analyzed using the Rasch model with the Partial Credit Model-1 Logistic Parameter (PCM-1PL) approach. The results of the analysis show that the 10 items developed are valid and have a high reliability value. The integrated assessment instrument has the characteristics of fit with the model, and the difficulty level of the items is classified as good. The results of this study show that the integrated assessment instrument can be used as a good instrument to measure students' critical thinking skills and chemical literacy on reaction rate materials

Development of e-modules on global warming: concepts and solutions in senior high school chemistry education

This research aims to produce a learning product in the form of a flipbook-based e-module that is valid, practical, and effective for X students in the odd semester. Chemistry lesson This development research is based on the unavailability of innovative teaching materials that meet the demands of the merdeka curriculum. Development procedures using the ADDIE model which consists of five stages: analysis, design, development, implementation, and evaluation. E-modules are introduced to be developed into a new medium that is expected to support the diversity of learning resources and maximize learning outcomes. Validation testing was conducted by 3 validators. The validation results obtained were with average percentages of 80%, 85%, and 85%, so it can be said that the e-module is in the valid category and suitable for use. Based on the student response questionnaire, the e-module is also practical for use in X grade chemistry learning, with a practicality percentage of 80.6% and very effective in improving students' thinking skills with an N-gain score of 0.59.

Dynamical transition in controllable quantum neural networks with large depth

Understanding the training dynamics of quantum neural networks is a fundamental task in quantum information science with wide impact in physics, chemistry and machine learning. In this work, we show that the late-time training dynamics of quantum neural networks with a quadratic loss function can be described by the generalized Lotka-Volterra equations, leading to a transcritical bifurcation transition in the dynamics. When the targeted value of loss function crosses the minimum achievable value from above to below, the dynamics evolve from a frozen-kernel dynamics to a frozen-error dynamics, showing a duality between the quantum neural tangent kernel and the total error. In both regions, the convergence towards the fixed point is exponential, while at the critical point becomes polynomial. We provide a non-perturbative analytical theory to explain the transition via a restricted Haar ensemble at late time, when the output state approaches the steady state. Via mapping the Hessian to an effective Hamiltonian, we also identify a linearly vanishing gap at the transition point. Compared with the linear loss function, we show that a quadratic loss function within the frozen-error dynamics enables a speedup in the training convergence. The theory findings are verified experimentally on IBM quantum devices.

Quality of Discovery Learning-Based Chemistry Learning Tools Developed by Chemistry Teacher Candidates

Prospective chemistry teachers play an important role in implementing Discovery Learning through the learning tools they develop. It is important to evaluate the quality of discovery learning-based learning tools utilised by prospective chemistry teachers in order to provide constructive feedback and improve their competence. This study aims to describe the quality of learning tools in the form of teaching materials and Learner Worksheets that have been prepared by prospective chemistry teachers. This research is a quantitative descriptive research. The population of this study were all students majoring in chemistry class of 2021. This study used purposive sampling technique. The sample of this study was prospective teacher students from the 2021 class B chemistry education study programme, totalling 23 people. Data collection techniques in the form of portfolio/document evaluation in the form of learning devices made by prospective chemistry teacher students. The learning tools collected by prospective teacher students are in the form of teaching materials and student worksheets based on Discovery learning. The learning devices that have been collected are then assessed using validated instruments and assessment rubrics and then scored to determine the ability category of prospective teacher students. The results showed that the quality of discovery learning-based teaching materials prepared by Chemistry teacher candidates in the construction component is categorized as Good, content/material is categorized as Very Good, learning assessment is categorized as Quite Good and discovery learning orientation is categorized as Good. The quality of discovery learning-based student worksheets prepared by prospective chemistry teachers in terms of the construction component is categorized as Very Good, learning activities are categorized as Very Good, learning assessment is categorized as Good and discovery learning orientation is categorized as Very Good.

Profil Pemahaman Representasi Mikroskopik Mahasiswa IPA pada Materi Larutan Elektrolit dan Non-elektrolit

Chemistry as one of the natural sciences has the characteristic of abstract concepts where the concepts in chemistry cannot be perceived by the senses so that special visualization is needed. Therefore, to understanding the abstract concept in chemistry, multiple representations are known, namely macroscopic, microscopic, and symbolic representations. This microscopic representation is used to visualize abstract concepts at the molecular level. However, in chemistry learning, especially at the high school level, it is still very rare to find chemistry learning that involves understanding chemical concepts at the microscopic level. So the aim of this study is to determine the profile of microscopic representation understanding of IPA college students as prospective teachers on the material of electrolyte and non-electrolyte solutions. The descriptive quantitative method with a test approach was used as a method in this study and the sample is 72 Tadris IPA college students of IAIN Ponorogo in the 2023/2024 academic year. The results of the study show that in the category of analysis of differences between strong electrolyte and weak electrolyte solutions, students' understanding of microscopic representation is low, while in the category of analysis the solubility of a substance in water, students' understanding of microscopic representation was classified as moderate.

THE EFFECT OF MAKING ATOMIC MODELS ON THE INTEREST IN LEARNING CHEMISTRY OF CLASS X STUDENTS AT PRAWIRA MARTA HIGH SCHOOL

Chemistry subjects are often considered difficult and boring because of their abstract nature. There are various learning methods that can be applied by teachers to increase students' interest in learning Chemistry. One of them is an experiment to make Atomic Model props using rubber balls. This article is compiled based on the results of Classroom Action Research which was carried out in two stages, namely Cycle I and Cycle II with the aim of increasing interest in learning Chemistry in grade X students at Prawira Marta High School in the even semester of the 2023/2024 school year. In each cycle, there are several stages, namely planning, implementation, observation, and reflection. The instruments used are observation sheets and questionnaires where the data source used is the primary data source. The results of the study were processed from data collection in Cycle I and Cycle II and analyzed descriptively to determine the achievement of learning interest indicators. The percentage of comparison of Cycle I and Cycle II data shows an increase in interest in learning Chemistry on all set indicators. On the indicators of feeling happy, high enthusiasm, and special attention showed an increase of 10.5%. Meanwhile, the full contribution indicator increased by 5.3%. It can be concluded that making an Atomic Model can increase the interest in learning Chemistry of grade X students at Prawira Marta High School.

Implementation of A Problem-Based Learning Model with the Help of Interactive Presentation Media from Quizziz in Increasing Student Learning Motivation in Class XI MIPA 4 in Chemistry Learning at Kebakkramat State Senior High School

This study aims to evaluate the increase in learning motivation in chemistry lessons using Quizziz interactive presentation media on the topic of buffer solutions, solubility, and solubility results. This class action research involved students of class XI MIPA 4 at SMA Negeri Kebakkramat. The Problem Based Learning (PBL) model is applied to involve students in solving real problems related to learning topics, encouraging investigation, critical thinking, and collaboration. Data collection was conducted through observation, interviews, and questionnaires, with data analysis using quantitative and qualitative descriptive techniques. The results showed that the application of the PBL model and Quizziz media succeeded in increasing student learning motivation with a success rate of 83% in cycle II. Indicators of learning motivation such as perseverance, persistence, preference for independent work, courage to find solutions, and ability to defend opinions, increased from cycle I (81.34%) to cycle II (83%). Evaluation of student motivation criteria also showed significant improvement from cycle I (47% excellent, 47% good, 6% fair) to cycle II (55% excellent, 42% good, 3% fair).

From Science to Society: Humanizing Climate Change Education by Integrating the Social Sciences and Humanities, U.N. SDGs, and Systems Thinking in Chemistry Learning

From Science to Society: Humanizing Climate Change Education by Integrating the Social Sciences and Humanities, U.N. SDGs, and Systems Thinking in Chemistry Learning

SparseAuto: An Auto-scheduler for Sparse Tensor Computations using Recursive Loop Nest Restructuring

Automated code generation and performance enhancements for sparse tensor algebra have become essential in many real-world applications, such as quantum computing, physical simulations, computational chemistry, and machine learning. General sparse tensor algebra compilers are not always versatile enough to generate asymptotically optimal code for sparse tensor contractions. This paper shows how to generate asymptotically better schedules for complex sparse tensor expressions using kernel fission and fusion. We present generalized loop restructuring transformations to reduce asymptotic time complexity and memory footprint. Furthermore, we present an auto-scheduler that uses a partially ordered set (poset)-based cost model that uses both time and auxiliary memory complexities to prune the search space of schedules. In addition, we highlight the use of Satisfiability Module Theory (SMT) solvers in sparse auto-schedulers to approximate the Pareto frontier of better schedules to the smallest number of possible schedules, with user-defined constraints available at compile-time. Finally, we show that our auto-scheduler can select better-performing schedules and generate code for them. Our results show that the auto-scheduler provided schedules achieve orders-of-magnitude speedup compared to the code generated by the Tensor Algebra Compiler (TACO) for several computations on different real-world tensors.