Carla Morais

Abstract <jats:p>Given the challenges associated with understanding electrochemistry content by engaging in prediction, observation, and explanation, laboratory activities can foster active participation and critical thinking, enabling individuals to proactively confront and revise their understanding. Since pre-service teachers should gain firsthand experience with predict-observe-based on a predict-observe-explain strategy, we propose a laboratory activity presented as a “mystery box” related to concentration cells coupled with an Arduino-based electronic data measurement system to identify how pre-service chemistry teachers move from observations to inferences in a qualitative research. Data was collected by written records and oral explanations during the practical interactions. Results suggest that the proposed laboratory activity allows pre-service chemistry teachers to access data and correct inferences related to electrochemistry content, promoting critical thinking. Data also showed a connection between the macroscopic and symbolic domains, and pre-service teachers recognized concepts associated with the activity, such as solution conductivity and the potential difference in chemical reactions, interpreting the system with prior knowledge, like electron flow direction and concentration cell components. However, additional strategies are needed for detailed and consistent observation and inference recording, enhancing the potential of such activities in favoring electrochemistry education in high schools.</jats:p>

Abstract Integrating experimental activities with technological advancements and investigative pedagogies holds promise for fostering multifaceted development of chemical knowledge acquisition and innovative pedagogical methodologies for preservice teachers. This research evaluates how a laboratory activity on electrochemical concentration cells incorporating the Arduino system and implementing a Prediction-Observation-Explanation strategy improves chemical knowledge among preservice teachers. The study used a pretest assessing knowledge of galvanic cells, followed by evaluative questions during a course for preservice chemistry teachers. Preservice teachers had the opportunity to reflect on the module by commenting on issues related to implementing the activity and integrating the Arduino system. Difficulties are associated with understanding electrochemical cells and implementing the POE pedagogy. The study's results provide a basis for comments on the activity's adaptability and efficacy in the classroom and incorporation into a preservice teacher education curriculum.

Abstract This study elucidates the perceptions of a group of chemistry teaching undergraduates about the mobilization of knowledge related to the seven bases of the Technological Pedagogical Content Knowledge (TPACK) framework during intervention activities in the pandemic. The descriptive research, with a mixed approach and Survey procedure, was based on observation and 29 Likert scale assertions in a self-report questionnaire, where the nominal variables were reorganized into a scale. Statistical analysis via Statistical Package for the Social Sciences software demonstrated data reliability and normality disparity; thus, parametric (two-way ANOVA) and non-parametric (Kruskal-Wallis) tests were performed, considering a significance level of 5% (p < 0.05). In the end, it was observed that among the 29 assertions, 5 exhibited a significant effect of some group (Gender, Age Group, School Where They Work, Class They Attend, Time of Participation) based on the Kruskal-Wallis test, demonstrating rejection of the null hypothesis (p <= 0.05 not equal H0). Furthermore, the findings indicate a strong need for more holistic initial teacher training, where the use of technology becomes an integral part of Content Knowledge.

Abstract The Periodic Table of the Elements of Green and Sustainable Chemistry (PT-GSC) represents a potentially meaningful tool for teaching and learning Green Chemistry. However, there is a lack of studies exploring the application of the PT-GSC in educational contexts. To contribute to filling this gap, a qualitative and participant approach was developed to examine the effects of using the PT-GSC in a high school setting, with a focus on analyzing the associated challenges and opportunities. Over a five-week period, 23 high school students enrolled in a chemistry course at a public school in Brazil worked in small groups to develop solutions for a case study addressing socio-scientific issues related to water scarcity in the local region using elements from the PT-GSC. Results from both the pre- and post-questionnaires, along with the written case study resolutions, provide evidence of the students' knowledge gains, particularly in critical scientific literacy for Green and Sustainable Chemistry Education. The findings showed that the PT-GSC is an interdisciplinary tool for introducing students to Green Chemistry concepts within the broader societal and scientific ecosystem. The implementation of novel case studies incorporating elements from the PT-GSC is a way to support our ongoing work with students and the public, contributing to a sustainable future.

Abstract The Beer-Lambert law is a fundamental relationship in chemistry that helps connect macroscopic experimental observations (i.e., the amount of light exiting a solution sample) to a symbolic model composed of system-level parameters (e.g., concentration values). Despite the wide use of the Beer-Lambert law in the undergraduate chemistry curriculum and its applicability to analytical techniques, students' use of the model is not commonly investigated. Specifically, no previous work has explored how students connect the Beer-Lambert law to absorption phenomena using submicroscopic-level reasoning, which is important for understanding light absorption at the particle level. The incorporation of visual-conceptual tools (such as animations and simulations) into instruction has been shown to be effective in conveying key points about particle-level reasoning and facilitating connections among the macroscopic, submicroscopic, and symbolic domains. This study evaluates the extent to which a previously reported simulation-based virtual laboratory activity (BLSim) is associated with students' use of particle-level models when explaining absorption phenomena. Two groups of analytical chemistry students completed a series of tasks that prompted them to construct explanations of absorption phenomena, with one group having completed the simulation-based activity prior to the assessment tasks. Student responses were coded using Johnstone's triad. When comparing work from the two student groups, chi-square tests revealed statistically significant associations (with approximately medium to large effect sizes) between students using the simulation and employing particle-level reasoning. That said, submicroscopic-level reasoning did not always provide more explanatory power to students' answers. Additionally, we observed the productive use of a variety of submicroscopic light-matter interaction models. We conjecture that engaging with BLSim provided new submicroscopic-level resources for students to leverage in explanations and predictions of absorption phenomena.