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This study aims to determine the need for multitiered diagnostic instruments to identify misconceptions and their causes, as well as multi-representational profiles in chemistry lessons starting from grade 10 in the initial to the final material for grade 12. The data analysis technique used in this research is descriptive, namely descriptive analysis. Systematic and factual facts are investigated by collecting data, processing and analyzing. The instruments used have been validated by expert lecturers and received improvements in the diction of the question sentences. The subjects used in this study were several chemistry teachers in East Java, totalling 67 teachers who were taken by random sampling. Data collection was carried out through questionnaires distributed using the media google form. The results of the analysis found that diagnostic assessments in chemistry subjects were made up to the macroscopic, submicroscopic, and symbolic levels with a percentage of 93%; it is necessary to apply diagnostic assessments to all chemistry learning topics with a percentage of 61%, diagnostic assessments in chemistry subjects must be carried out in a multitiered manner level 5 with a percentage of 79%.

This research is a systematic literature review study that aims to explore the evidence in publications that report on the types of misconceptions experienced by students in learning chemistry by providing types of students' chemical misconceptions based on levels and obtaining the correct formulation of misconceptions so that they can be used as a basis for overcoming them. The collected publications came from Scopus-indexed publications in journals, Conference Proceedings, Books, and Book Series from 2006 to 2021. Data analysis used was thematic analysis and data extraction and publication selection procedures using the PRISMA modification method, which consisted of four phases: identification, screening, eligibility, and inclusion. The linkages between all the literature with misconceptions were analyzed using VOSviewer software to visualize bibliometrics. There are four chemical materials with the most misconceptions experienced by students: chemical equilibrium with seven studies, covalent bonds with six studies, acid-base theory with five studies, and materials and their classifications with five studies. Countries actively researching misconceptions are the United States, Turkey, Taiwan, South Korea, Ireland, England, Colombia, Macedonia, India, Thailand, Slovakia, Indonesia, Spain, Malaysia, Finland, and Ukraine. The research findings provide an overview of chemical materials that students often experience misconceptions about and the types of misconceptions about these chemical materials. [Note: The publication year (2023) shown in the citation on the PDF is incorrect. The correct publication year is 2024.]

Augmented Reality (AR) has emerged in our educational paradigm as a new tool to accelerate change in the teaching and learning process. This technology can improve students' visualisation skills, which helps them understand abstract concepts, especially in Chemistry. Furthermore, visualisation skills help improve students' critical thinking. This study was conducted with 16 secondary students. Before and after the intervention, students were required to complete a Purdue Spatial Visualisation Test to measure their visualisation skills. During four weeks of intervention, students explored the content using a mobile augmented reality application for learning chemical bonds (called CBOND) and completed critical thinking tasks each week. This study employed data mining using a decision tree to predict the path to improving students' visualisation and critical thinking skills in learning chemical bonds. The results revealed that CBOND had a significant effect on students' visualisation and critical thinking development. Therefore, this study proved that augmented reality technology could help students to visualise abstract concepts, especially in Chemistry, and in turn, foster their higher level of critical thinking.

This study aimed to develop a two-tier test to identify misconceptions of pre-service teachers about chemical equilibrium. The sample was made up of 135 pre-service chemistry teachers at Farhangian University in Iran (70 female and 65 male) who were spending the final semester of the eighth semester of the teacher training programme. After analysing the distribution pattern of the participants' answers in the first and second tiers, fifteen misconceptions were identified. A new misconception was identified for the first time, which we called the common ion effect which was held by about 50% of participants. Gender was a significant factor in the rate of misconceptions, with male preservice teachers having fewer rate misconceptions compared with females. The results showed that when the first tier or the second tier was considered alone, female participants performed better, but when both tiers were combined, the performance of males was better. However, males had a weaker performance in three questions related to the approach to equilibrium in this situation. These findings will help educators plan their instruction by knowing pre-service teachers' preconceptions about chemical equilibrium.

A didactic sequence is proposed using an infrared puzzle and a didactic questionnaire for the teaching-learning of infrared spectroscopy at the upper secondary level. The didactic sequence that was designed was implemented in person in the subject of Chemistry IV at the high school level, corresponding to the sixth semester of the curriculum of the National School of Sciences and Humanities (CCH), Vallejo Campus, of the National Autonomous University of Mexico. In the didactic sequence, students understand the importance of functional groups where they determine organic compounds, by identifying regularities, properties, and structure of alcohols, aldehydes, ketones, and carboxylic acids. After applying the didactic sequence, a post-test questionnaire was applied, and the results showed that the students significantly improved their knowledge of IR when using the puzzle that allowed them to correctly identify the bands that identify the carbonyl group.

Different goals of high schools and vocational schools in Indonesia become the main factor causing the distinction of preparedness of chemistry teachers in using the Science, Technology, Engineering, and Mathematics (STEM) approach in their teaching. Yet the High School Chemistry Teachers (HSCT) and Vocational School Chemistry Teachers (VSCT) need to have positive perceptions about STEM since it offers students meaningful chemistry learning. Through an explorative survey method, this research investigated in-service chemistry teachers' perspectives toward the potential of STEM learning in high school and vocational schools of chemistry. A number of 131 in-service chemistry teachers (82 HSCT and 49 VSCT) from Yogyakarta, Indonesia was voluntarily participated in this research through a saturated sampling technique. Perception Scale on STEM (PC-STEM) consisting of 54 closed-ended questions and seven open-ended questions were used to collect the data. Data analysis techniques involved one-way MANOVA testing, descriptive statistics, and content analysis with interpretive coding. The findings showed that HSCTs' and VSCTs' perspectives toward STEM were in the good category. Thus, integrated STEM learning is potential to be used in chemistry lessons at high school and vocational school. However, there were not any statistically significant differences between HSCT and VSCT participants' perceptions of how STEM was being used to teach chemistry. Unfortunately, despite their perception being good, both groups of teachers signified a poor experience in applying STEM in their chemistry lessons. Therefore, teachers' professional development program about STEM is needed for chemistry teachers to successfully implement STEM-based chemistry learning.

The study aimed to investigate the effect of computer simulation and animation-integrated instruction on preservice science teacher trainees' conceptual understanding and retention of acid-base chemistry and stoichiometry. A quantitative approach with a pretest-posttest-delayed test quasi-experimental design was used. In the study area, there were only two sections of first-year trainees in the natural science department. So a comprehensive sampling technique of the two intact sections was employed. The two intact classes were randomly assigned to an intervention group (IG) and a comparison group (CG). Data was collected using Acid-Base Chemistry and Stoichiometry Conceptual Understanding of a two-tier multiple-choice Test (ABSCUT). Parametric statistics (independent sample t-test and ANCOVA) were used for the data analysis. The independent sample t-test was used for the pre-test analysis to examine the prerequisite experiences of trainees in the two groups and male and female trainees in the IG before the intervention. The result showed no significant difference between the mean score of the CG and IG. The result also showed no significant difference in the mean score of male and female trainees in the IG. The ANCOVA was used for post-test and delayed test analysis after the intervention. The result indicated that there was a statistically significant difference between the two groups on conceptual understanding, F(1,49)=5.07, p=0.029, partial eta squared=0.094, in favor of IG. This tends to imply the concepts of the trainees who received the intervention outperformed the comparison group. The ANCOVA result also indicated that gender difference has no statistically significant difference in the IG, F(1,24)=3.68, p=0.067. The delayed-test analysis showed that the IG has higher retention than the CG. Based on the results, this study recommended that policymakers, chemistry curriculum experts, chemistry curricular material developers, and practitioners alike consider the application of computer simulation-integrated chemistry instruction to enhance learners' conceptual understanding and retention.

The aim of this study was to develop students' chemical literacy by integrating dilemma stories into a Science, Technology, Engineering, Arts, and Mathematics (STEAM) project on petroleum. Chemical literacy can help students face future challenges by applying what they learn about chemistry subjects at school to solve problems in their daily lives. A qualitative research method was employed that included interviews, observations, reflective journals, chemical literacy tests, and student activity sheets, as data collection tools. Thirty six secondary school students participated in the research using a project-based approach consisting of five steps: value reflection, problem-solving, project monitoring and evaluation, project development, and transformation. This study used four chemical literacy components according to Shwartz, Ben-Zvi and Hofstein (2006) namely scientific and chemical content knowledge, characteristics of chemistry, chemistry in context, higher-order learning skills, and affective aspect. STEAM integrated with dilemmas stories provides opportunities for students to develop chemical literacy through value reflection, problem solving, and STEAM project. This study uses a dilemma story to understand chemistry concepts whereby students can develop a project by integrating chemistry and STEAM principles. The STEAM Project involved making alternative fuel to find a solution to a problem presented in the dilemma story. The researchers were challenged by the need to find a suitable chemistry-based dilemma story to integrate with a STEAM project while also empowering students and managing time resources.

Concepts related to molecular structure are often challenging for students to visualize and comprehend. Augmented reality has emerged as a promising solution to this problem, providing students with opportunities to manipulate and visualize chemical molecular structures to improve their understanding. Furthermore, collaborative learning environments have the potential to enhance student learning by fostering knowledge sharing and collaborative authoring. However, there is a dearth of research exploring students' acceptance of augmented reality in a collaborative learning context. Therefore, this study aims to investigate the technology acceptance of a wearable collaborative augmented reality system in chemistry education among junior high school students. Specifically, 124 students used "Microsoft® HoloLens 2" device to learn about chemical molecular structure. Data was collected using the Extended Technology Acceptance Questionnaire after participants used the system and analyzed using Partial Least Squares Structural Equation Modeling. The extended model takes knowledge sharing, collaborating learning, and collaborative authoring as exogenous variables with perceived ease of use and perceived usability and finally produces a structural model that leads to behavioral usage intentions. The hypotheses tested in this study were accepted as the relationships were significant. Knowledge sharing, collaborative learning, and collaborative authoring have a positive impact on perceived usefulness and perceived ease of use respectively; and perceived usefulness and perceived ease of use have significant effects on behavioral intention to use respectively. This study conclusively demonstrated the hypothesized relationships. Evidence from these results provides comprehensive insights that can help policymakers and educators better understand the factors influencing the adoption of wearable collaborative augmented reality.

As the trend for English as a medium of instruction (EMI) increases, teacher self-efficacy to teach the contents of their teaching materials in an EMI context has become one of the major challenges. This study investigated the self-efficacy of Indonesian non-ELT pre-service teachers to teach in an EMI context. Two Indonesian non-ELT pre-service teachers, in charge of teaching biology and chemistry in English, in a secondary school in Thailand were interviewed to gain an indepth information about their experiences. The data from their teaching reflections and interviews were analyzed using thematic analysis. The study shows that both participants perceived that their self-efficacy to teach in EMI context was quite high despite various obstacles during their teaching practicum. Furthermore, four sources of efficacy information appeared to influence the Indonesian non-ELT pre-service teachers' self-efficacy to teach in the Thailand EMI context. Mastery experience (the personal experience of success) was the most influential source of efficacy information, followed by the other instances of self-efficacy sources including social persuasion, emotional state, and vicarious experience. The implication derived from this study is that the teacher training institutions in Indonesia need to facilitate the pre-service teachers to help them perceive their self-efficacy to teach in EMI context.

Prior research suggests most students do not glean valid cues from provided visuals, resulting in reduced metacomprehension accuracy. Across 4 experiments, we explored how the presence of instructional visuals affects students' metacomprehension accuracy and cue-use for different types of metacognitive judgments. Undergraduates read texts on biology (Study 1a and b) or chemistry (Study 2 and 3) topics, made various judgments (test, explain, and draw) for each text, and completed comprehension tests. Students were randomly assigned to receive only texts (text-only condition) or texts with instructional visualizations (text-and-image condition). In Studies 1b, 2 and 3, students also reported the cues they used to make each judgment. Across the set of studies, instructional visualizations harmed relative metacomprehension accuracy. In Studies 1a and 2, this was especially the case when students were asked to judge how well they felt they could draw the processes described in the text. But in Study 3, this was especially the case when students were asked to judge how well they would do on a set of comprehension tests. In Studies 2 and 3, students who reported basing their judgments on representation-based cues demonstrated more accurate relative accuracy than students who reported using heuristic based cues. Further, across these studies, students reported using visual cues to make their draw judgments, but not their test or explain judgments. Taken together, these results indicate that instructional visualizations can hinder metacognitive judgment accuracy, particularly by influencing the types of cues students use to make judgments of their ability to draw key concepts.

The present study aimed to reveal science education research (SER) general trends via VOSviewer version 1.6.17 software program. For this purpose, a bibliometric analysis of 13,242 articles in the Education and Educational Research (E&ER) category of Web of Science (WoS) was performed. It was found that there was a significant increase in article counts since 2007, and that the most articles were published in 2020. The first conclusion of the current research was that funding support is an important factor in SER article counts published in WoS. The bibliometric analysis results showed that the most frequently used keywords in SER articles were science education, STEM/STEM education, nature of science, assessment, professional development, science, scientific literacy, argumentation, gender, and conceptual change. Another conclusion of this study was that science education researchers' interest varied according to certain year intervals. The study revealed that the most preferred topics were nature of science and professional development during 2007-2021. Additionally, research interest in the topics of conceptual change, scientific literacy, chemistry education, and attitudes during 2007-2016 declined during 2017-2021. The top four research topics in recent years were STEM, argumentation, self-efficacy, and motivation. The countries where most publications came from were the USA, UK, Australia, Turkey, and Canada. The results of this study showed that science education researchers' interest varied according to countries. The results of the study revealed that STEM/STEM education is mostly referred to in articles from the USA, Australia, UK, Taiwan, and Canada. Additionally, while there was more interest in the nature of science in the USA, Turkey, UK, and Canada there was more interest in argumentation in the USA, Turkey, UK, and Taiwan. Additionally, this study revealed the most cited SER articles' distinctive features and strength collaborations between countries and between authors. The results provided a comprehensive review to understand the recent developments in the SER.

Researchers and practitioners in the United States increasingly promote phenomena-based instruction in science that supports the development of a coherent storyline throughout the unit. Questions about "who" is constructing the science storyline and "how" still remain. Employing a qualitative ethnographic case study approach, we explore how three Latinx female students authentically contribute in their high school chemistry class and change the science storyline originally developed by the teacher. Data include over 950 min of video recordings, student artifacts, and interviews collected from a unit about reaction rate, which was contextualized by students' experiences with a local wildfire. The analysis points to three instructional moves that appear to play an important role in shifting the collective storyline: connecting to Latinx students' personal concerns, moving across multiple figured worlds, and recognizing students' epistemological contributions. Implications for supporting minoritized students are discussed.

This research probed the perceptions of secondary school science teachers concerning the objective and utility of assessment, exploring the influences of gender, teaching experience, and specific science subject components. A total of 100 secondary school teachers from Selangor participated in the study, completing the Teacher's Conception of Assessment (TCoA) online questionnaire. This instrument comprised 27 statements categorized into four key aspects: Improvement, Irrelevance, School Accountability, and Student Accountability. Interestingly, the data revealed that the highest mean score was attributed to the irrelevance of assessments (M=4.44; SD=0.86), followed by assessment for improvement (M=4.21; SD=0.95), student accountability (M=4.18; SD=1.32), and lastly, school accountability (M=4.15; SD=1.44). A closer examination of the data pointed towards significant gender-based differences in teachers' perceptions of institutional accountability and educational enhancement through assessments, with female and male teachers scoring higher in these respective areas. However, the length of teaching experience did not appear to significantly affect the teachers' perceptions across any of the assessed parameters. There were noteworthy differences in teachers' perceptions of student accountability in assessments when evaluated based on the subject taught, with Biology teachers reporting higher mean scores as compared to Chemistry and Physics teachers. Additionally, teachers' perceptions regarding the improvement role of assessments and their irrelevance differed significantly across subjects, with general science teachers attaining higher mean scores than Chemistry, Biology, and Physics teachers. The findings of this study shed light on teachers' understanding of assessment, particularly in the field of Science, and serve as a valuable resource for all educational stakeholders. By understanding teachers' perceptions, policymakers and school administrators can make informed decisions that would potentially enhance teaching and learning processes.

The implementation of context-based chemistry programs has been started before 40 years ago since 1980s in an attempt to make the learning of chemistry more meaningful for students. Consequent to its lengthy, there has been a steady increase in the number of interventional context-based (ICB) approach chemistry studies investigating the effect of various instructional strategies on students' learning outcomes from primary to post-secondary levels. However, there is a limitation of the literature review conducted on interventional context-based chemistry studies. Hence, the present review was carried out to evaluate interventional context-based chemistry studies using six research questions based on the following categories (main headings): (1) countries or continents in which ICB chemistry studies were conducted in; (2) research methodologies implemented in ICB studies; (3) topics in which ICB chemistry studies used; (4) learning variables measured by ICB studies; (5) teaching methods and instructional strategies adopted by ICB studies; and (6) the effectiveness of context-based instructions on students' learning outcomes. Moreover, some sub-headings also followed the main headings. To achieve this objective, a rigorous systematic literature review has been executed using 25 selected ICB chemistry studies published between the years 2009 and 2022 based on the specific inclusion and exclusion criteria. These studies were accessed in internationally well-known databases (Google Scholar, ERIC, Semantic Scholar, and Mendeley); and the studies were organized and reviewed thematically. To summarize and present the findings of the studies, matrices, constructed by the researcher, were used. The review analysis results revealed and shed light on the critical appraisal of interventional context-based chemistry studies, missing parts of the context-based approach, and implications and suggestions for future studies.

There is a growing need for college science faculty to teach a diverse group of learners. The Universal Design for Learning (UDL) framework can be used to create inclusive learning materials and activities in the higher education science classroom. A UDL Academy introduced science faculty to the UDL framework, which led to them implementing UDL in their classes. A chemistry and physics professor and an environmental science and biology professor participated in the UDL Academy during summer 2021 and implemented UDL in at least one course during the fall 2021 semester. They share their perspectives on the UDL implementations and implications for college science teaching.

Pedagogical approaches for supporting students' argumentative writing in science laboratories have not been fully established. This article examines the development of argumentative abilities in undergraduate students enrolled in chemistry laboratory courses that employed two teaching sequences: (i) an argumentative writing workshop for conceptual learning and (ii) weekly laboratory report writing for application of knowledge gained in the workshop. The four workshop modules guided students through the process of identifying three key components of arguments (evidence, justifications, and claims), selecting appropriate and inappropriate justifications, constructing justifications and conclusions, and analyzing experimental errors. Student performance in formulating scientific arguments was evaluated through instructors' assessment of evidence, justifications, and claims made in the Results, Discussion, and Conclusions sections, respectively, of a laboratory report. Student performance improved from 60.9 ± 3.4 to 91.5 ± 8.0 in Introductory Chemistry I Lab and 60.7 ± 5.2 to 91.7 ± 5.4 in Introductory Chemistry II Lab. Students rated the helpfulness of the writing workshop ([3.6 ± 0.1]/5.0), weekly writing ([4.1 ± 0.3]/5.0), and instructors' feedback ([4.4 ± 0.5]/5.0) for both introductory and advanced chemistry laboratories positively. The format of this writing workshop can be used for online teaching or incorporated into any science laboratory course with the development of appropriate content modules.

Student self-assessment surveys were utilized to look at student study habits in several areas. Both self-reported study time and study methods were explored. Surveys were given to students after they received their graded exams. In a comparison with the federal definition for a credit hour (2 hours outside of class for each hour spent in class), it was found that most students study less than the minimum recommended study time. Little difference in reported study hours was seen between high-performing students and low-performing students (who reported the highest amount of study time). When broken into methods of study, higher-performing students reported higher percentages of time in active study methods (e.g., attempting practice problems), while lower-performing students spent more time in more passive study methods (e.g., reviewing lecture notes). Additionally, students were asked to analyze why they lost points on examinations in a number of different categories. Lower-performing students were able to recognize the reasons for their performance (attributing much of their performance to reasons such as not understanding terms or concepts) but were not able to use it to improve future performance.

As research of benefits and detriments of pesticides and biocides progresses, people's knowledge needs to be updated. This study takes an audience perspective on how practitioners may improve communication. Through online focus group discussions of how and why Danes acquire knowledge of pesticides and biocides, we find that focusing on improving people's knowledge structures, heuristics and self-efficacy may improve people's ability to acquire such knowledge and in turn improve their motivation. This paper provides suggestions for how practitioners may create more effective communication.

Science educators are integrating more and more computational thinking (CT) activities into their curricula. Proponents of CT offer two motivations: familiarizing students with a realistic depiction of the computational nature of modern scientific practices and encouraging more students from underrepresented backgrounds to pursue careers in science, technology, engineering, and mathematics. However, some studies show that increasing exposure to computing may not necessarily translate to the hypothesized gains in participation by female students and students of color. Therefore, paying close attention to students' engagement in computationally intense science activities is important to finding more impactful ways to promote equitable science education. In this paper, we present an in-depth analysis of the interactions among a small, racially diverse group of high school students during a chemistry unit with tightly integrated CT activities. We find a salient interaction between the students' engagement with the CT activities and their social identification with publicly recognizable categories such as "enjoys coding" or "finds computing boring." We show that CT activities in science education can lead to numerous rich interactions that could, if leveraged correctly, allow educators to facilitate more inclusive science classrooms. However, we also show that such opportunities would be missed unless teachers are attentive to them. We discuss the implications of our findings on future work to integrate CT across science curricula and teacher education.

A new perspective on chemistry learning could be the optimal learning moment of view based on flow theory. Optimal learning moments (OLMs) that occur when students experience high levels of interest, challenge, and skill at the same time were investigated in this study. Participants of the study were 47 pre-service science teachers. Data were collected via the experience sampling method in a university-level chemistry course which was given online due to the COVID19 pandemic, and an online form was used to collect data at specified points of the course. It was found that participants reported OLMs 23.5% of the time. Also, the occurrence of OLMs in different units (content) or different parts (activities) of the course was investigated. There was no significant difference in OLMs at different units of the course. However, there was a significant difference between the course's lecturing, mini-testing, and problem-solving parts. Optimal learning moments occurred in mini-testing and problem-solving parts more than in the lecturing part of the course. Thus, it can be concluded that students had more OLMs in the parts where they were more active and had more responsibility. Also, the order of the constituents of OLMs might be important as their size.

The Meaningful Learning in the Laboratory Instrument (MLLI) was designed to measure students' expectations before and after their laboratory courses and experiences. Although the MLLI has been used in various studies and laboratory environments to investigate students' cognitive and affective laboratory expectations, the authors of the instrument reported a discrepancy between the intended factor structure of the MLLI and the factor structure suggested by the data collected in preliminary studies. Therefore, the aim of this study was to investigate the validity and reliability evidence related to data collected with the MLLI, especially that related to structural validity. Evidence to support structural validity would provide greater meaning for the reporting and interpretation of MLLI scores. In this study, two possible "a priori" models for the factor structure of data collected from multiple institutions with the MLLI were investigated using confirmatory factory analysis (CFA). This initial investigation found poor data-model fit for each of the two tested models. Cognitive interviews and free response items were then used to inform modifications to the two "a priori structures," and a third alternative structure, which included a negative method factor, was also investigated. Once a best fitting model was identified, further model revisions were informed by a combination of modification indices and qualitative data. Evidence of adequate-to-good data model fit was found for the final revised version of the MLLI, deemed the MLLIv2. Additionally, evidence of both internal structure validity and single administration reliability were found for each of the MLLIv2 factors. The structure of the data from these items leads to scale scores that likely represent student expectations that contribute to meaningful learning and student expectations that detract from meaningful learning. As the results of this study provide the first psychometrically supported scales for MLLI data, they have implications on the future reporting and analyses of MLLI scores.

Maintaining a commitment to social justice teaching can be especially challenging when navigating the bureaucratic systems and ever-spiraling responsibilities of the education system. To better understand how social-justice-oriented educators navigate these tensions, this paper uses qualitative methods to investigate the social justice problems of practice identified by five chemistry teachers in a year-long professional learning community. By analyzing the challenges described in their problem-posing segments, I identify seven major themes that represent key sources of tension and possibility as teachers move from theory to practice in teaching chemistry for social justice. These findings indicate that the practical considerations of day-to-day teaching practice create the most salient tensions when moving from theoretical ideas of social justice to a deeply integrated enactment of social justice teaching. Through a deeper analysis of two cases, I demonstrate the effects of discussing problems of practice with a group of teachers who had similar disciplinary backgrounds and ideological stances. These discussions shifted the tensions from potential barriers to areas of possibility in which they were able to enact new ideas within the confines of their context. Taken together, these findings indicate that developing social justice educators requires attention to navigating the practical details of teaching from a social justice lens.

Electrochemistry, a key topic in introductory chemistry, is a topic that many students struggle with conceptually. Visual learning tools like concept maps allow the externalization of key concepts and the relationships between these concepts may aid in students' acquisition and retention of newly learned electrochemistry concepts. Partnering with a general chemistry instructor, this study explored the effectiveness of two concept map formats--fill-in-the-concepts and student-corrected maps, on electrochemistry outcomes with undergraduate general chemistry students. To examine students' engagement with these maps, we also explored the role of students' interest. Results indicated that prior knowledge and map condition were significant predictors of students' electrochemistry performance. Specifically, the fill-in-the-concepts condition resulted in better learning outcomes than the map correction condition. Furthermore, students with a higher interest in electrochemistry were more likely to perform well on their respective concept mapping activities, thus, scoring higher on the posttest. These findings suggested that concept maps can effectively represent key concepts of a challenging topic, and are beneficial for students' learning and retention of information. Importantly, instructors may further support learning by providing scaffolds in the form of fill-in-the-concept maps to help students better organize their mental structures and identify misconceptions.

A curriculum is generally regarded as an instructional plan that describes what, why and how students should learn. In this comparative study, we analysed the Czech and Slovak intended curricula of science subjects (physics, chemistry, biology, geography, and geology) and mathematics by comparing their national curriculum documents in terms of learning outcomes at the lower secondary level (ISCED level 2). Our analysis showed significant differences in the number of obligatory learning outcomes, which were much higher in the Slovak curriculum than in the Czech curriculum. The structure of these outcomes also differed across subjects and between countries. Nevertheless, the cognitive demands of the learning outcomes analysed using the revised Bloom's taxonomy were similar in the two countries, but metacognitive knowledge and higher-level cognitive processes were rarely represented in either. Additionally, by inductive content analysis of the Slovak curriculum document, we identified two significant groups of cross-curricular requirements, namely outcomes related to scientific inquiry and outcomes requiring working with information. Overall, these learning outcomes are underrepresented in both analysed documents (particularly in the Czech document) even though the skills that these outcomes develop are in high demand in the current context.

Retention and underrepresentation of diverse ethnic groups have been and continue to be problematic in the science, technology, engineering, and mathematics (STEM) disciplines in the United States. One foundational course that is required for all STEM majors is general chemistry. One way to increase retention and diversity in STEM majors is by targeting students' social-psychological beliefs about their academic success through the implementation of social-psychological interventions. These short impactful exercises aim to change students' thoughts, feelings, and beliefs about their academic success and affective characteristics. In this exploratory study, we designed and implemented two chemistry specific growth-mindset modules (GMMs) in two first-year chemistry courses (general chemistry 1 (GC1) and general chemistry 2 (GC2)) at a Hispanic-Serving Institution (HSI). Students worked on the GMMs asynchronously at two specific time points throughout the semester. Using a mixed-methods approach, we assessed students': (1) changes in mindset beliefs, chemistry self-efficacy (CSE), and chemistry performance, (2) perceptions towards failures and challenges, and (3) perceptions on growth-mindset modules (GMM) after participation in GMMs. Overall, GC2 students shifted towards a growth mindset and away from a fixed mindset, with small to medium effect sizes detected. No statistically significant changes in GC1 students' mindsets were detected throughout the study period. For both courses, students increased in CSE by the end of semester. Furthermore, GC1 students who participated in any portion of the GMM intervention achieved higher scores on the ACS exam compared to those who didn't participate. Additionally, students' written responses highlighted an improved attitudinal change towards failures and challenges after participating in GMMs. For both courses, over 95% of the students agreed that the GMMs were valuable, over 95% students indicated they developed more positive attitudes and perspectives towards challenges, and over 96% students believed they could learn challenging topics with effort, determination, and persistence. While these results show differences in performance, CSE, mindset scores, and attitudinal change after participation in GMMs, it is also important to acknowledge that self-selection into the study may be one of the factors for explaining such differences. Results and implications for practice are discussed.

The purpose of this study is to "meta"-analytically evaluate research that used chemical bonding-based interventions to improve academic performance. Through "meta"-analysis, the present study used several keyword patterns (e.g., chemical bonding, experimental, chemistry education, science education) via relevant databases (e.g., ERIC, Springer Link, Taylor & Francis, Wiley Online Library Full Collection, and Scopus) to find chemical bonding-intervention studies. Thus, it included 50 chemical bonding-based intervention papers (15 dissertations, 32 articles, and 3 proceedings). The current "meta"-analysis found that the overall effect-size of chemical bonding-based intervention studies was 1.007, which shows a "large" effect. Findings regarding moderator analysis displayed non-significant differences between educational levels and a statistically significant difference between the intervention types. This "meta"-analysis reveals that the chemical bonding-based intervention studies are effective at improving the participants' academic performance in terms of chemical bonding. Further, it denotes that when the abstract nature of chemical bonding is overlapped with the features of the intervention type, the interventions (e.g., cooperative learning and enriched learning environment with different methods) result in better academic performance. Since this study, like all "meta"-analyses, points out consistent and inconsistent findings among published research, further "meta"-analysis studies should be undertaken to resolve any contradictory findings.

Laboratory work in chemistry has been extensively researched in the last decade but the gap between research and practice is still broad. This "Perspective" shares 10 guiding principles relating to university laboratory education, drawing on research over the last decade. Written with an audience of practitioners in mind, the "Perspective" aligns with Hounsell and Hounsell's congruence framework, so that the 10 principles consider all aspects of the laboratory curriculum: design, teaching approaches, and assessment approaches as suggested by Biggs, but additional contextual factors relating to teaching context: backgrounds of students and their support, and overall laboratory organisation and management. After discussing the rationale for each guiding principle, examples of approaches are given from recent literature along with prompts to help enact the guiding principle in practice.

When teaching STEM courses, it is important to introduce state-of-the-art techniques. Students need to learn how to conduct experiments, analyse data and choose the most effective approaches to address meaningful situations. Here we present the assessment of the implementation of a structured inquiry-based activity aimed at teaching students about protein mass and size. This activity emerges as an intervention in our educational module, designed to create a cognitive conflict that effectively drives a conceptual change. To evaluate the efficacy of this module, we collected data on students' perceived and actual knowledge through pre- and post-class surveys (n = 36 and 34, respectively, mean age 26 ± 2). Additionally, we evaluated lab reports using a detailed rubric. Results indicate that the practical innovation we propose is a challenging activity that promotes the accomplishment of our learning objectives. The activity led to improvements both in confidence and in actual mastery of theoretical concepts and techniques. After completing the activity, students were able to choose the most appropriate technique to solve specific problems. Furthermore, we found that the use of a structured questionnaire in lab reports helped students to accurately analyse and process experimental data. It also allows them to demonstrate understanding of technical limitations, while integrating the knowledge and skills acquired during the module. Overall, this activity provides notions that are conceivable and profitable, thus leading to successful conceptual changes.

This study aims to determine the cognitive structures of students at different educational levels (8th grade and 12th grade) related to acid-base chemistry. The research was designed as a case study and structured in two stages. The first stage analyzed concepts related to acid-base chemistry and their direction and strength in students' knowledge structures. The second stage determined the descriptive and structural features of students' knowledge structures related to acid-base chemistry in a more holistic approach. The study was carried out with a total of 160 students, 80 grade 8th and 80 12th grade students. A word association test (WAT) and the free writing technique (FWT) were used together. In the WAT, ten different frequency ranges were determined forming cognitive structure maps of the students. With high-frequency values on the map, it was found that the number of stimulus and response words decreased but the strength of associations increased. In frequency ranges where the frequency values of associations were low, it was found that the number of stimulus and response words increased and the cognitive structure organization was at the most advanced level compared to other frequency ranges, but the strength of associations was weak. In general, it was observed that there were no bidirectional and cross-associations between the concepts in the cognitive structures of the students about chemistry and that there was a static structure that included one-way associations only. Additionally, the concepts in the cognitive structures of students related to acid-base chemistry were analyzed in terms of their structural characteristics. It was found that, in the cognitive structures of the students there were no associations between many concepts that should be related to each other.

Education researchers are deeply interested in understanding the way students organize their knowledge. Card sort tasks, which require students to group concepts, are one mechanism to infer a student's organizational strategy. However, the limited resolution of card sort tasks means they necessarily miss some of the nuance in a student's strategy. In this work, we propose new machine learning strategies that leverage a potentially richer source of student thinking: free-form written language justifications associated with student sorts. Using data from a university chemistry card sort task, we use vectorized representations of language and unsupervised learning techniques to generate qualitatively interpretable clusters, which can provide unique insight in how students organize their knowledge. We compared these to machine learning analysis of the students' sorts themselves. Machine learning-generated clusters revealed different organizational strategies than those built into the task; for example, sorts by difficulty or even discipline. There were also many more categories generated by machine learning for what we would identify as more novice-like sorts and justifications than originally built into the task, suggesting students' organizational strategies converge when they become more expert-like. Finally, we learned that categories generated by machine learning for students' justifications did not always match the categories for their sorts, and these cases highlight the need for future research on students' organizational strategies, both manually and aided by machine learning. In sum, the use of machine learning to analyze results from a card sort task has helped us gain a more nuanced understanding of students' expertise, and demonstrates a promising tool to add to existing analytic methods for card sorts.

We explored chemical engineering students' approaches to learning, study-related burnout, and perceptions of peer and self-assessment in a challenging physical chemistry thermodynamics course. Cluster analysis revealed three learning profiles based on students' approaches to learning: students who scored high in both organised studying and the deep approach to learning, students who scored high in the unreflective approach to learning, and students who scored high in all three approaches. According to our findings, students who employed deep learning strategies and managed their time carefully experience the least study-related burnout. These students also felt more efficacious when participating in assessment and had fever negative experiences of both peer and self-assessment. Consequently, physical chemistry educators should adopt practices that facilitate a deeper approach to learning, including paying careful attention to course workload and utilising teaching methodologies that can foster the deep approach like peer and self-assessment.

Central to conceptual understanding of STEM disciplines is visuospatial processing. Despite its acknowledged role in assuring learners' success, less is known about the underlying reasoning students must employ when solving 3-D problems and the ways in which gaining an understanding of this can inform formative assessment and learning in STEM education. Chemists must utilise their spatial understanding when visualising 3-D structures and processes from 2-D representations and so this exploratory practitioner-researcher study sought to identify the ways in which secondary school chemistry students reason when explaining their predictions about molecular geometry, and how the use of certain modalities was linked to assessed accuracy. Coding of students' verbal and written responses to the research task revealed that students employed multiple reasoning strategies and conceptual resources to facilitate use of analytical heuristics and imagistic reasoning. Analysis of students' verbal responses and spontaneous gestures provided insight into the extent of imagistic vs. analytical reasoning and the finergrained conditions which promoted their use. Importantly, it was observed that despite being instructed on the use of VSEPR theory to find analytical solutions, some students exhibited preference for alternative reasoning strategies drawing upon imagistic reasoning; showing more nuanced and varying degrees of accuracy through their verbal responses and representations gestured in 3D space. This work has pedagogical implications as use of specific reasoning strategies and the identification of key conceptual resources is not readily promoted as classroom practice for learning or assessment. This study therefore raises questions and contributes to the evidence base for attending to learners' visuospatial thinking, as revealed through the multiple modalities they may use to assist and communicate their understanding, and highlights the significance of this to formative assessment in Chemistry and STEM Education.

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.

The laboratory is a complex environment where the three levels of the chemistry triplet coincide. As the laboratory environment places a large demand on the working memory of students, cognitive load theory can address overload which causes barriers to learning. Breaking down barriers requires iterative phases of analysis/exploration, design/construction and evaluation/reflection over multiple cycles which are the hallmarks of design-based research. In a complex setting, managing change and redressing teaching approaches can be difficult to navigate. Design-based research incorporates iterative phases in which theory informs decision making. This paper uses the context of a laboratory exercise of emission spectra to illustrate how the cognitive load theory can be used in tandem with design-based research to support student learning in the exercise. Using this approach, it was possible to show how barriers to student understanding, including task demands and conceptual demands were supported through proposed approaches focusing on extraneous, intrinsic and ultimately germane cognitive load.

This study explored how continuous diverse reflective exercises embedded in a Community Service Learning chemistry lab support science students' meaningful learning. The findings of this study are intended for those involved in teaching natural science in higher education, as well as those interested in Community Service Learning, self-directed learning, and reflective strategies. Fourteen students in a second-year Analytical Chemistry II lab participated in this study. Reflective exercises representing multiple modes of reflection were purposefully designed and embedded across the lab curriculum. Qualitative content analysis of data from reflective writings, scrapbook reflections, and reflective discussions demonstrates that students were able to articulate their self-directed learning from the perspective of academic enhancement, personal growth, and civic engagement in the different reflective exercises. Students indicated a high level of satisfaction, agreed that the integration of diverse continuous reflective strategies can enhance their transformative learning practice in an engaging way, and would like to continue this practice for other science laboratory courses.

Team-based learning (TBL) is an instructional strategy where students participate in a set of activities including, applying course concepts to real-life case studies in instructor-selected teams. Here, we describe how TBL has been incorporated into a 3rd year, large, environmental chemistry course and investigate the benefits of using this strategy. A combination of pre/post survey and coursework data were analyzed to understand: (1) What were student perceptions of TBL? (2) How did using TBL to deliver content influence student learning, measured by exam performance? (3) How did students' team skills evolve? Post-survey results indicate that students perceived TBL as enhancing their interest in course content, creating real-world connections, and most helpful for achieving practical critical thinking skills. Student performance on TBL-related final exam items was significantly better (Mean = 73%, SD = 21%) than non TBL-related final exam items, (Mean = 65%, SD = 21%), despite the level of complexity being similar between the two categories. The pre/post survey results indicate that, as compared to the start of term, students reported being significantly more comfortable expressing opinions in group meetings (t(78) = 4.25, p < 0.001, Cohen's d = 0.48), and leading group discussions (t(78) = 3.11, p = 0.003, Cohen's d = 0.35), by the end of the term. The one-minute reflections (completed following the first and fifth TBL activities) indicated that there was a 14% increase (77% "vs." 91%) in the number of students reporting on collective team decision making. This study demonstrates the wide-ranging positive impacts of TBL to student learning in a large Environmental Chemistry course all while enhancing active learning and applying chemistry concepts to relevant and real-life case studies.

Chemish - the scientific language of chemistry - is crucial for learning chemistry. To help students acquire the competencies to understand and use Chemish, chemistry teachers need to have a sound knowledge of teaching and learning Chemish: Pedagogical Scientific Language Knowledge (PSLK). But still, despite the importance of this knowledge, the question remains what exactly it is. Based on a model for science teachers' PSLK developed through a systematic review, this study seeks to validate the developed model by interviewing experienced chemistry teachers, filling the model with more detail, and examining further and systematising chemistry teachers' PSLK. Therefore, semi-structured interviews with 19 German secondary chemistry teachers are conducted. The interviews are analyzed both deductively using the results of the systematic review and inductively following the approach of Grounded Theory. Finally, the elements of PSLK resulting from the systematic review, as they are knowledge of (i) scientific language role models, (ii) the development of the concept before the development of the scientific language, (iii) making scientific terms and language explicit, (iv) providing a discursive classroom, (v) providing multiple resources and representations, (vi) providing scaffolds for scientific language development, (vii) communicating expectations clearly, and (viii) specific methods and tools for teaching and learning the scientific language, could be validated and described in more detail, and even new elements, as they are the knowledge of (ix) the motivation when learning scientific language as well as (x) the knowledge of lesson preparation and follow-up, could be identified and described through the interviews. Furthermore, elements influencing the development of and PSLK itself are characterized. Implications to foster Pedagogical Scientific Language Knowledge during teacher preparation will be given.

Problem solving in chemical kinetics poses substantial challenges for university students since it often involves significant use of mathematics as a tool and language, with challenging translations and transitions between chemical phenomena and mathematical representations. In this paper, we present key findings from a study investigating chemistry students solving tasks centred around the steady-state approximation. Building upon the mathematical modelling cycle (MMC), qualitative analysis of the data collected using a think-aloud protocol led to the development of the extended MMC. This empirically derived extended MMC offers a more detailed account of the processes involved in mathematical modelling of chemical phenomena, highlighting aspects such as the occurrence of deliberation and evaluation throughout the modelling cycle, as well as the varying characteristics, points of activation and roles of extra-mathematical resources during problem solving. We further introduce and use problem-solving trajectories as a tool for visualising and analysing the complex and diverse approaches used by students in their attempts at reaching a solution. Overall, the extended MMC provides a finer-grained model of the cognitive and metacognitive activities that students engage in, offering further insights for research and practice.

A national survey on chemistry instructional laboratories was administered to faculty members at four-year postsecondary institutions in the United States for the purpose of exploring levels of inquiry-based instruction implemented in laboratory courses. Respondents were asked to rate the level of choice their students had in deciding six key characteristics of the experiments used in their course ("e.g.", what research questions to explore); the more choices students get to make, the more inquiry-based instructional experience. MANOVA and "post hoc" analyses suggest that there are differences in the level of inquiry across chemistry course levels; lower-level courses ("i.e.", general chemistry and organic chemistry) implement lower levels of inquiry-based laboratory instruction compared to upper-level courses ("i.e." more chemistry major-focused courses). We found no evidence of association between the level of inquiry courses and institutions' highest chemistry degree awarded, American Chemical Society approval to award certified bachelors degrees, or external funding to transform postsecondary chemistry courses. Our study contributes to the chemical education community's growing understanding of the state of postsecondary chemistry laboratory instruction. Results further suggest that there is an opportunity for faculty members and department leaders to reflect on their instructional laboratory courses and implement more inquiry-based instructional laboratory experiences across the entirety of the postsecondary chemistry curriculum.

Navigating the observational, symbolic, and theoretical knowledge domains of chemistry is crucial for chemistry sensemaking. However, this has been shown to be particularly challenging for students of chemistry. In order to reach government standards for sensemaking in the chemistry subject, it is important to investigate how chemistry teachers can sustain sensemaking practices in their classrooms. In this study, conversation analysis was used to study videotaped teacher-student dialogues at upper secondary school practical lessons in chemical equilibrium. Common patterns in how sensemaking was produced in interaction were found in four experienced chemistry teachers' sensemaking dialogues with students. The data show how the teachers use coordinated actions in conversations to create a balance between (1) managing sensemaking dialogues in the laboratory classroom on a moment-to-moment basis through connecting theory and experience, and (2) managing the tension between exposing students' knowledge gaps and presenting the students as competent as part of the interaction. The results of the study indicate that resolving tension in interaction is an important part of teacher-student sensemaking in chemistry, and also identify the chemical equation as a possible tool for sensemaking progression. The detailed examples of teacher-student sensemaking can be used as models for chemistry teachers interested in how sensemaking can be achieved practically.

Teaching is a complex activity that demands paying attention to diverse components and relationships that affect the learning process, and acting with intentionality to build and nurture those connections. In this qualitative research study, we proposed and used an intentional-relational framework to explore differences in the relationships that four general chemistry instructors sought and acted to build with intention in their classes. Our goal was not to evaluate the quality of instruction but rather to characterize instructors' practices to gain insight into educational relationships that may affect student performance. All instructors in our sample manifested a strong interest in helping students succeed in their studies and relied on a variety of resources designed and integrated into their courses to support student learning. They mostly differed in the extent to which they attended and responded to contextual issues, intentionally seeking to make content relevant to students, helping them build connections between their interests and the discipline, and adapting resources to create more inclusive learning environments. These differences seem to affect student performance in common exams. Our study highlights the importance of analyzing the relationships that instructors build with intention to support professional development and teacher reflection, and better understand the impact of instructors' decisions on student performance.

An investigation was carried out into laboratory practical skills development and students' specific challenges in transition from laboratory chemistry at Chinese High School (HS) to a fully English style university laboratory course. To the best of our knowledge this is the first study of its type investigating practical laboratory skills for a TransNational Education (TNE) Chemistry BSc (3 + 1) degree programme between the United Kingdom (UK) and the People's Republic of China (PRC). Internationalization of such courses have become popular in recent years. The two universities in this study are Nanjing Tech University (NJTech) and the University of Sheffield (UoS). Our study is exploratory with the aim to determine the level of practical laboratory skills the NJTech students gained from High School and the challenges they encountered as they joined a UK degree laboratory programme delivered in English. For this international study, a mixed-methods approach was followed using qualitative inductive and deductive methodologies. Using open-ended questions it was found that particular challenges in the transition were around the lack of prior laboratory experience and the development of many new skills, laboratory notebook documentation, laboratory safety, and studying laboratory chemistry in a second language. Students welcomed these challenges and felt they were developing into professional chemists. Specific recommendations are made for international TNE degrees with laboratory programmes, particularly for those students who progress from Chinese High School through the Chinese GaoKao system into a western university chemistry laboratory programme. The scaffolded/structured curriculum design allowed for total and successful integration of the NJTech with the Sheffield home students during the final year of their BSc in Chemistry. After graduation, having gained high class degrees and becoming fluent in English many of the students progressed into Industry, and onto Masters or PhD programmes in the UK and throughout the world, suggesting internationalisation of students on our TNE programme was successful.