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In the realm of science education, traditional teaching methods face challenges in catering to diverse learning preferences. This study investigates the efficacy of Khan Academy Videos (KAVs) in improving educational quality, specifically in rural thermodynamics instruction. The research involved 88 students and one teacher, with one group taught using traditional methods (control group [CG]) and the other using KAVs (experimental group [EG]). Results show significant improvements in learning outcomes and engagement with KAV integration, with EG scores improving by 61% compared to 31% in the CG. Pre-tests and post-tests were conducted to establish baseline understanding and measure academic performance, while a mixed-method approach analyzed results and feedback. Findings indicate that KAV integration positively influences student performance, offering valuable enhancements for resource-limited rural schools. This study underscores the transformative potential of KAV-integrated teaching in addressing educational challenges and elevating teaching quality.

The main purpose of this study was to describe the development and use of a flowchart for preservice chemistry teachers' problem solving on the First Law of Thermodynamics. Twenty-seven undergraduate preservice chemistry teachers attending a Physical Chemistry course participated in this study. The responses of the participants to the set of test problems associated with the reversible isothermal, isochoric, isobaric, adiabatic, and cyclic processes, with and without the flowchart, and the views of the participants about the flowchart were used as data sources. The results showed that the flowchart developed in this study could influence the ability of preservice chemistry teachers to solve the problems associated with the First Law of Thermodynamics and decrease the errors while solving these problems. Moreover, it was found that almost all of the participants were successful in correctly solving the problems related to reversible isothermal and isochoric processes with the flowchart. The views of the participants about the flowchart indicated that using the flowchart is an effective way to solve the problems.

A laboratory experiment that exposes students to fundamental concepts in kinetics and statistical thermodynamics to study systems of great current interest in nanotechnology by employing a foundational technique in physical chemistry is described. A modified commercial flash photolysis spectrometer was used to study photoinduced isomerization reactions on the millisecond time scale for several hydroxy-substituted azobenzene compounds. The temperature-dependent transient decays were analyzed with an Eyring plot to yield the enthalpy and entropy of activation of the reverse isomerization process. The specific compounds studied were 4-phenylazophenol, 4-methyl-2-(phenylazo)phenol, and 2,4-dihydroxyazobenzene in ethanol solvent. Instrumental modifications include substitution of a UV-LED for the probe light source and use of a thin polyimide film heater adhered to the side of the sample cuvette to control temperature. Collection of experimental data and the subsequent plotting and analysis are easily accomplished by upper-division chemistry students and the results are consistently good, comparing well with literature values.

Molecules and Computer: Chemistry Calculations in Class (MC[superscript 4]) is a computational laboratory intended for final-year high school or undergraduate students. The topic is the antioxidant potential of anthocyanidins, which is chemically related to their radical scavenging action via the mechanism of hydrogen atom transfer (HAT). This laboratory combines (bio)chemical and nutraceutical concepts with organic chemical reactions involving radical species. It allows students to apply important physicochemical (thermodynamic) concepts, such as Gibbs free energy of reaction and solvation. Finally, the procedure can easily be tailored to the resources at hand as well as the knowledge of the students. In fact, when computing facilities are not available, the whole set of molecular structures and energy data are provided as well as a simple datasheet required for their analysis. Alternatively, the whole protocol and useful scripts are provided so that students can generate their own results by experiencing the approach to computational chemistry.

The alternative conceptions that students hold put a brake on subsequent meaningful learning, and therefore, the identification of these wrong ideas is crucial for effective teaching and academic success. Undergraduate STEM students often perceive Chemical Thermodynamics as a difficult subject, in which entropy has been pointed out as a threshold concept. In this paper, the prevalence of two alternative conceptions about entropy of first-year undergraduate students is studied by analyzing quantitative and qualitative results before and after instruction. It was found that students hold alternative conceptions about the conservation of entropy, whose prevalence depends on the specific context of the question, and that they strongly relate entropy to visual disorder. To some extent, the approach of using instructional videos and qualitative questionnaires as a teaching method was successful in enhancing students' understanding. The results of this research can be valuable for developing effective evidence-based curricula to improve teaching and help students deeply understand fundamental thermodynamic concepts.

We use the Survey of Thermodynamic Processes and First and Second Laws-Long, a research-based survey instrument with 78 items at the level of introductory physics, to investigate introductory and advanced students' difficulties with internal energy, work, and heat transfer. We present analysis of data from 12 different introductory and advanced physics classes at four different higher education public institutions in the U.S. in which the survey was administered in person to more than 1000 students. We find that not only introductory but also advanced physics students have many common difficulties with these introductory thermodynamic concepts after traditional lecture-based instruction in relevant concepts. We utilize a wide variety of problem types and contexts and our sample includes large numbers of introductory algebra-based, calculus-based, and advanced students. Some of our findings are consistent with prior research in this area, but others expand upon them and reveal previously unreported aspects of students' thinking. Findings related to common difficulties of students before and after traditional lecture-based instruction in college physics courses can help instructors of these courses plan instruction and curricula to improve student understanding. These findings can also be valuable for developing effective research-based curricula and pedagogies to address student difficulties and help students develop a functional understanding of these fundamental thermodynamic concepts.

Thermodynamic processes are often presented in so called P-V diagrams and the processes are often isobaric, isochoric, isothermal, and adiabatic. The purpose of the qualitative research reported here was to explore students' reasoning and interpretation of P-V diagrams that were presented by the help of GeoGebra. The research group had 15 students and the control group had 12 students. The control group were not given any dynamical explanation of the PV diagrams but were taught with static images in the same text book as the research group. The thermodynamics in Physics 1 at the Swedish gymnasium level is normally done within 2 weeks. We allocated 3 weeks and 10 hours for the thermodynamics to be taught and then gave all 27 students a short test. At the end of the Physics 1 course, we also gave a test with two questions from the thermodynamics. It seems that the students who were given the opportunity to dynamically change the content of the PV diagram benefit more from the teaching compared to the control group.

Physical and virtual labs have unique capabilities that can influence how students learn from them. The purpose of this study was to examine the effect of physical and virtual manipulatives on students' learning of heat and temperature and to examine the influence of various combinations of physical and virtual manipulatives. A total of 205 participants were divided into four groups: only physical manipulatives, only virtual manipulatives, physical-virtual manipulatives, and virtual-physical manipulatives. Students' knowledge acquisition was tested using Pretest--Post-test design. The results showed that physical and virtual manipulatives are as effective in facilitating students' learning of state changes, but virtual manipulatives are more beneficial to students' learning of thermal expansion and contraction than physical manipulatives are. Physical-virtual manipulatives are more effective than virtual-physical manipulatives or physical manipulatives alone are to promote students' learning of heat and temperature, but this effect is similar to that of virtual manipulatives alone. The results suggest that virtual laboratories can effectively model abstract concepts. The better effect of the physical-virtual operation sequence on learning does not depend on whether the two types of experiments are combined or on the sequence of operations but on the type of experiment when its advantages actually contribute to learning.

Thermodynamics is one of the most complex topics in chemistry. Cognitive Load Theory claims that the complexity of a subject is mainly due to element interactivity - how many elements an individual must organise simultaneously in her/his working memory to master a topic. The simultaneous processing of various chemistry and mathematics concepts to learn thermodynamics puts a strain on the working memory capacity of the learner. Accordingly, what kind of change occurs in a learner's cognitive processes according to the level of element interactivity is an issue that needs to be investigated. The aim of this study is to reveal the basic indicators of element interactivity and investigate the effects of instructional design on understanding subjects with different element interactivity levels. With this objective in mind, educational software comprising eight distinct sessions for instructional design was developed in accordance with the Cognitive Load Theory. The sample consisted of 37 freshmen who were taking classes in the Chemistry Department of a public university in Turkey. The instructional design was implemented with the experimental group while the control group followed the lecturer's instructional design. The results indicate that, in terms of the cognitive load in the learning process, the study time and the learning at the retention and transfer level are among the basic indicators of the element interactivity. This study also determined that the instructional design that is developed according to Cognitive Load Theory can provide effective learning at the retention and transfer levels in subjects with high element interactivity.

In this article we find the thermodynamics of some large N particles systems and some small N particles classical systems using micro canonical ensemble. Small N particle systems are seldom done in textbooks, since statistical mechanics(SM) systems work for large N systems. We show that small N systems will help the students to get an insight about the phase space and also the computation of microstates.

Energy conversion devices such as fuel cells, metal-air batteries, and electrolyzers have been envisaged as possible solutions for cutting down the continuous accumulation of greenhouse gases resulting from the combustion of fossil fuel. The bottleneck reaction for these devices is the oxygen reduction reaction (ORR) occurring at the cathode. The sluggish ORR force in the use of catalysts is mainly based on precious metals like platinum. Iron and cobalt macrocycle catalysts (MN4) have been widely studied as an economic alternative for replacing the expensive Pt[superscript 0] at the cathode, which is the most active catalyst for the ORR and the industrial standard. Understanding the theoretical and experimental aspects behind this technology is a primary goal for human capital formation and educational purposes. Unfortunately, there is a lack of fundamentals behind the concepts of free energy, adsorption energy, and kinetics. Thermodynamic and kinetic parameters are confused and are wrongly cross-linked. The Sabatier principle and volcano plots are usually misinterpreted. In this propaedeutic work, thermodynamic and kinetic aspects are considered for the ORR at MN4 catalysts to provide a practical guide for students and teachers.

We use the Survey of Thermodynamic Processes and First and Second Laws-Long (STPFaSL-Long), a research-based survey instrument with 78 items at the level of introductory physics, to investigate introductory and advanced students' difficulties with entropy and the second law of thermodynamics. We present an analysis of data from 12 different introductory and advanced physics classes at four different higher education public institutions in the United States in which the survey was administered in person to more than 1000 students. We find that a widespread unproductive tendency for introductory students to associate the properties of entropy with those of energy leads to many errors based on an idea of "conservation of entropy," in which entropy increases are "always" balanced by equal entropy decreases. For many of the more advanced students (calculus based and upper level), we detect a tendency to expect entropy increases even in processes in which the entropy does not change. We observed a widespread failure to correctly apply the relationship [delta]"S"="Q"[subscript reversible]"/T," either by using it for "irreversible" processes to which it does not apply or by applying it incorrectly or completely neglecting it in reversible processes to which it does apply. We also noted that many introductory students are simply not aware that total entropy must increase in any "spontaneous" heat transfer process. Students at all levels were very frequently found to be confused that while net entropy (system+reservoir) in reversible isothermal processes does not change, the entropy of the working substance itself does indeed increase or decrease depending on whether the process is an expansion or compression. Our findings are broadly consistent with prior research findings in this area, expanding upon them and revealing previously unreported aspects of students' thinking. Moreover, our results reflect several new problem contexts in addition to those reported in prior research, and our sample population includes large numbers of both introductory and advanced students. Our detailed findings related to common student difficulties with entropy and the second law of thermodynamics before and after traditional instruction in college physics courses can potentially help instructors of these courses improve student understanding of these concepts. These findings can also be valuable for developing effective research-based curricula and pedagogies to reduce student difficulties and help students develop a solid grasp of these fundamental thermodynamic concepts.

Recently, scholars have suggested a co-design collaboration with instructors and students to effectively implement formative assessment (FA) practices because it ensures a high-quality design that considers users' needs, values, and goals in a specific learning context. This study examines the effect of co-designed FA practices, in which preservice science teachers (PSTs) are co-designers of FA practices, on promoting their conceptual understanding of chemistry topics in a first-year undergraduate chemistry laboratory course. Sixteen randomly selected PSTs participated in the study for two consecutive semesters. At the end of the first semester, a co-design of the FA practices was developed collaboratively with the PSTs upon the approach of conjecture mapping. Then, the second semester was devoted to examining the impact of the co-design-based FA environment on overcoming the PSTs' alternative conceptions regarding selected four chemistry laboratory topics: thermochemistry, chemical kinetics, chemical equilibrium, acids and bases. This study employed a conversion mixed research design. To evaluate the co-design-based FA practices, PSTs' alternative conceptions were identified through pre- and post-laboratory concept maps. The results obtained from both qualitative and quantitative data analyses showed that implementing the co-designed FA practices had a significant impact on overcoming most of the alternative conceptions held by the PSTs in all topics of laboratory investigations. This study strongly implies the inclusion of undergraduate students as active co-participants of the iterative reasoning process of the FA design to promote their understanding of chemical concepts in laboratory courses.

Background: This study posits that scaffolded team-based computational modeling and simulation projects can support model-based learning that can result in evidence of representational competence and regulatory skills. The study involved 116 students from a second-year thermodynamics undergraduate course organized into 24 teams, who worked on three two-week-long team-based computational modeling and simulation projects and reflected upon their experience. Results: Results characterized different levels of engagement with computational model-based learning in the form of problem formulation and model planning, implementation and use of the computational model, evaluation, and interpretation of the outputs of the model, as well as reflection on the process. Results report on students' levels of representational competence as related to the computational model, meaning-making of the underlying code of the computational model, graphical representations generated by the model, and explanations and interpretations of the output representations. Results also described regulatory skills as challenges and strategies related to programming skills, challenges and strategies related to meaning-making skills for understanding and connecting the science to the code and the results, and challenges and strategies related to process management mainly focused on project management skills. Conclusion: Characterizing dimensions of computational model-based reasoning provides insights that showcase students' learning, benefits, and challenges when engaging in team-based computational modeling and simulation projects. This study also contributes to evidence-based scaffolding strategies that can support undergraduate students' engagement in the context of computational modeling and simulation.

After waiting in a long line for your favourite cup of coffee, you finally sit down with your mug and find that the coffee is still scalding hot! How long do you need to wait before you can enjoy it? Once it cools enough, how much time do you have to enjoy it? Are there ways to speed up the process? These questions motivate the presented modelling scenario about tracking the temperature of a cup of coffee as it cools. Students are put in the role of an inquisitive coffee enthusiast who does their due diligence in preventing burns and carefully experimenting on their coffee so that they, and others to come, can enjoy that perfect cup. They identify their assumptions and interventions before developing model differential equations for each case, which force discontinuities on the derivative and even on the solution itself. Being familiar with basic Laplace transforms and learning key properties of the unit step and unit impulse functions, they solve these differential equations and compare the interval of time when the coffee will be at its peak level of enjoyment. This paper includes an implementation guide, grading rubric, example solutions, and example assessment questions.

Background: Undergraduate students consistently struggle with mastering concepts related to thermodynamics. Prior work has shown that haptic technology and intensive hands-on workshops help improve learning outcomes relative to traditional lecture-based thermodynamics instruction. The current study takes a more feasible approach to improving thermal understanding by incorporating simple mechanical objects into individual problem-solving exercises. Purpose/Hypotheses: This study tests the impact of simple mechanical objects on learning outcomes (specifically, problem-solving performance and conceptual understanding) for third-year undergraduate engineering students in a thermodynamics course across a semester. Design/Method: During the semester, 119 engineering students in two sections of an undergraduate thermodynamics course completed three 15-min, self-guided problem-solving tasks, one section without and the other with a simple and relevant physical object. Performance on the tasks and improvements in thermodynamics comprehension (measured via Thermal and Transport Concept Inventory scores) were compared between the two sections. Results: Students who had a simple, relevant object available to solve three thermodynamics problems consistently outperformed their counterparts without objects, although only to statistical significance when examining the simple effects for the third problem. At the end of the semester, students who had completed the tasks with the objects displayed significantly greater improvements in thermodynamics comprehension than their peers without the relevant object. Higher mechanical aptitude facilitated the beneficial effect of object availability on comprehension improvements. Conclusion: Findings suggest that the incorporation of simple mechanical objects into active learning exercises in thermodynamics curricula could facilitate student learning in thermodynamics and potentially other abstract domains.

Laboratory learning forms a significant and integral part of engineering education, wherein students develop technical, collaborative, enquiry, and observation skills that go beyond theoretical studies. Engineering is inherently a practice-based profession, and consequently, laboratory work has been inseparable for engineering curricula. However, there is evidence suggesting that students encounter cognitive or information overload during modern laboratory classes, leading to reduced likelihoods of effectively achieving intended learning outcomes, as specified by the cognitive load theory. This article investigates how pre-lab online learning resources can be utilised to effectively manage cognitive load of engineering students, in the context of thermodynamics education. Qualitative and quantitative data have been collected from students as well as teaching staff on a range of parameters such as student preparedness, confidence levels, degree of engagement, and understanding. The findings of the study indicate that efficient student preparedness through pre-lab online resources can be utilised to effectively manage cognitive load of engineering students, leading to increased levels of understanding, preparedness, and confidence. It can be observed that there are influences from factors such as the quality of pre-lab resources and degree of engagement.

We describe the components and implementation of an activity for multivariable calculus featuring applications to the field of chemistry. This activity focuses on the isobaric thermal expansion coefficient found using partial differentiation of the volume of an ideal gas with respect to temperature as pressure is held constant. Broader goals of this activity include enhancing calculus conceptual understanding, encouraging further interdisciplinary study and exploration, and cultivating mathematicians and scientists with broader and deeper backgrounds.

Statistical mechanics has received limited attention in physics education research and remains a relatively underrepresented topic even in research on upper-division physics courses. The purpose of this study was to explore potential challenges that physics students encounter when they solve statistical mechanics problems in groups. Adopting a grounded approach, we video recorded and analyzed nine small student groups engaging in collaborative problem solving on the topic. The analysis involved iterative thematic coding, which gave rise to ten emergent categories of challenges. These were later divided into two broad groupings: "challenges with concepts" and "challenges with problem-solving strategies." In the first grouping, we list seven identified categories related to the concepts of macrostates and microstates, distinguishable and indistinguishable particles, temperature, entropy, energy, equilibrium, heat bath, the Boltzmann distribution, and the partition function. In the second grouping, we list three categories related to the inappropriate application of common relations, difficulty managing tensions between calculated results and qualitative reasoning, and coming up with definitions of new and inconsistent concepts. Some of our findings are supported by existing research on the topic, and others are previously unreported. Based on our findings, we propose that future research should investigate the relations between the identified challenges on one hand, and students' epistemological framing, reasoning, and use of multiple representations on the other. Finally, we suggest that teachers should spend time engaging students in a conceptual discussion of the central ideas of statistical mechanics, motivating the choice and pointing out limitations of commonly used toy models, and linking course content to real-world phenomena.

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.

One of the obstacles that occur in Chemistry learning is low student motivation due to monotonous media. Another thing that currently becomes an obstacle is the COVID-19 pandemic which limits face-to-face learning. However, Chemistry practicum learning in the laboratory is difficult to carry out at students' homes. The purpose of the study is to develop a virtual laboratory, the validity and effectiveness of which are measured, to increase students' understanding and motivation in Chemistry, the topic of exothermic and endothermic reactions. The 4D model is used in the development of learning media in the form of a virtual laboratory. The validity of virtual laboratory products is confirmed by media experts and material experts in their fields. Product effectiveness was measured using a posttest-only control group design with two groups of students involving 63 students. Data collection was carried out through questionnaires, tests, and interviews, with descriptive analysis for the results of validation of the learning media and pilot test and t-tests for testing the effectiveness of virtual laboratories. The results showed that the virtual laboratory is easy to use and has feedback at the end of the practicum simulation so that the virtual laboratory can be applied as a valid and effective learning media in increasing student understanding and motivation.

The case study-based module on chemical thermodynamics course (ideal and real gases) was developed to fulfill the needs of undergraduate students in online learning during the COVID-19 pandemic. The purpose of this study was to test feasibility of case study-based module. The case study-based module refers to the 4D model (define, design, develop, and disseminate) by integrating the one group pretest-posttest design at the develop stage. The feasibility of the module was measured through validity, practicality and effectiveness using validation sheet, evaluation test sheet and questionnaire sheet. Data were analyzed descriptively, quantitatively (Wilcoxon Signed Rank Test) and qualitatively. The case study-based module was suitable for one of learning tools, which was proven by the findings that (1) meets valid and reliable criteria, (2) meets practical criteria with support for general achievements students' very positive response to the aspects of module (construction, material, motivation and case study), and (3) meets the effective criteria by increasing the average score pretest-posttest in medium category which contains the cognitive level of analyze-C4, evaluate-C5, and create-C6. The implication of development case study-based module can facilitate students in online learning during the COVID-19 pandemic so that they will successfully reach the course learning outcomes of Chemical Thermodynamics, which includes mastery of knowledge about main principles of thermodynamics, ability to solve science and technology problems, ability to use information and communication technology based learning resources, make decisions based on the relationship of concepts with laboratory activities, and practice responsibility.

An exploratory study was to determine the effectiveness of discussion sessions as a teaching strategy of thermodynamics in basic physical chemistry of fundamental concepts in this area as spontaneity by explaining students according to their ideas. A previously validated questionnaire was used as an instrument on thermochemistry, enthalpies of bonding, and Gibbs function. The performance of the students who participated in the intervention was compared with that of a control group to which the afore mentioned teaching strategy was not applied. The students of the intervened group explained with a higher academic level the concept of spontaneity than those of the control group reaching the level of the development of the process of effective chemical reasoning (DECRP) of the taxonomy of barrow and bloom.

Analogies can be powerful teaching tools because they can make new material intelligible to students by comparing it to material that is already familiar. In assisting students to understand chemistry concepts, teachers occasionally use analogies. These analogies are believed to help the students to structure the new knowledge and they are considered to be especially useful for topics of an abstract or submicroscopic nature. However, analogies have also been identified as a factor in the students' misunderstanding of chemical concepts. By a functional analogical approach constructed onto the two fundamental concepts (learning and the work in thermodynamics) in this study, the presentation of the similarities between the interactive nature of learning and the requirements enabling a mechanical change such as the reversible expansion is aimed.

This paper seeks to evaluate learning based on the competency approach, taking a didactic experience to evaluate a possible improvement in the ability to solve problems and for autonomous learning in general. For the didactic development, the theme "gases" was taken, which is generally enunciated: Corpuscular kinetic theory of matter; State variables of a gas: P, V, T; Absolute temperature; General and State Equation of Ideal Gases Dalton's Law or Law of Partial Pressures; Ideal Gases and Real Gases; Van der Waals equation. For this purpose, the AIRBAG systems, and the determination of the normal molar volume of a gas are taken as the object of study.

The nowadays European educational framework boosts applying the learned theoretical concepts to real situations. Hence, practice sessions are key resources to present students direct applications of the theoretical concepts shown in class. Thus, developing new educational equipment and practice sessions oriented to bringing theoretical knowledge closer to practice should be one of the objectives of teachers. The present work describes a solution proposed by lectures of two Spanish universities looking to increase the knowledge of their engineering students. Along the years, these docents have noticed the lack of connection between the theoretical and practical knowledge among their students, drastically harming their learning procedure. Thus, in order to deepen into practical learning, a teaching methodology involving low-cost prototypes of vapor compression systems and a gamification method to help the students understand the concepts is proposed. The proposed methodology is expected to make a big positive impact on the results obtained by the students, taking into account the preliminary results reached.

Teaching upper division statistical physics can often be clouded by the theory and complex examples used. To better help students appreciate the fundamental statistical concepts and how they are connected to thermodynamic principles this paper suggests using a simple abstract model. Using Atkins' Model students can see these ideas clearly connected and have a straightforward reference to help understand the behavior of more complicated cases.

An activity is described that uses simple materials and an easy-to-perform protocol to estimate the Curie temperature of nickel, which is the temperature at which nickel loses its ferromagnetism. To do so, an object made of nickel metal is heated with a lighter until it loses its ferromagnetism. The metal is allowed to drop into a beaker that contains a known amount of water at a known temperature. Thermodynamic analysis of the exchange of energy between the metal, water, and beaker allows for an estimate of the Curie temperature of nickel. The activity provides students with the opportunity to explore concepts commonly found in introductory and general chemistry curricula, including thermodynamics and electronic configurations of the elements.

Redox reactions and their balancing are one of the basic chemistry subjects in which students may experience remarkable learning difficulties at the beginning of their university career. This topic represents an evolution of stoichiometry concepts related to the balancing of chemical reactions and can be taught with different approaches as a function of the in-depth analysis of the connected concepts as well as of the students' backgrounds and educational objectives. In this article, we focus our attention on the thermodynamic approach, highlighting its versatility along with its strengths and weaknesses.

Concepts relating to enzymes and energy are central to understanding chemical and biological processes at the molecular level. Student learning of these crosscutting concepts can be challenging, so it is important to identify misconceptions and remediate them early, especially in introductory classes. Here we describe an activity in which undergraduate introductory biology students timed themselves crushing pieces of cereal to simulate and quantify the progress of an enzymatic reaction in the presence of competitive and noncompetitive inhibitors, and we asked students to connect the cereal analogy to concepts of thermodynamics. We developed an assessment and short surveys to evaluate the impact of the activity and to identify persistent misconceptions. Measurable improvements of assessment scores and qualitative student survey responses demonstrate the value of including a hands-on activity along with other modes of instruction.

A laboratory experiment in which [superscript 1]H NMR and UV-vis spectroscopies are applied to probe the temperature dependence of a monomer-dimer equilibrium involving a cyclopentadienone derivative is described and discussed. Details of the data analysis for extraction of equilibrium constants from the raw experimental data from both techniques are provided, leading to the determination of thermodynamic parameters ([delta][subscript r]H° and [delta][subscript r]S°) via van't Hoff analysis. Fully analyzed datasets are provided in the Supporting Information to aid adaptation of the experiment or its use as a data analysis activity.

Pregraduate students often have low success expectations toward their thermodynamics courses, which are often considered too abstract and remarkably difficult to understand. For this reason, they may not even try to reach any level of comprehension while settling for reproducing mathematical calculations and memorizing definitions to pass the exams. Traditional lectures on thermodynamics, focusing on mathematical deductions while neglecting the qualitative characterization of the concepts behind the equations, do not help in this respect. Aiming at a change in the teaching practice and focused on the second law of thermodynamics, the main goals of this work are to characterize the way of reasoning of the expert; to present a review on the most important learning difficulties encountered by students and categorize them into three groups: the disregard of qualitative understanding, the inherent conceptual difficulties, and those related to the students' previous knowledge; and to propose some suitable teaching practices to assist instructors in this difficult but rewarding task.

A significant amount of energy in the form of heat is lost in industrial processes once it is used in specific processes. Among different technologies, high-temperature heat pumps (HTHP) are a valuable method of recovering low-temperature waste heat in the industry in a very efficient way that can be activated using clean electricity. As a recently investigated technology, they are not yet spread in industrial processes, where traditional technologies are preferred. Therefore, this work shows an HTHP computer program (named HeatPack) to be used as a simulator by the university or technical students of courses included in applied thermodynamics engineering. This interactive and user-friendly platform allows the modification of different operating and design parameters and the working fluid. As outputs, the program provides the rest of the operating parameters and the energy performance of the cycle (quantified by the coefficient of performance, COP). The proposed HTHP and a gas boiler are compared by the program and the energetic, carbon footprint, and economic savings are displayed. Students, as the main target of users of the program, can observe how this technology can provide benefits. For instance, emission reductions in comparison with fossil fuel-based boilers, under which situation the energy performance of the HTHP is higher, and which alternative low global warming potential (GWP) refrigerants can provide more advantages. In addition to the educational use, this software can be used to design and study the integration of HTHPs in existing industrial needs to evaluate the feasibility.

This study investigated the introduction of the second law of thermodynamics using the Legitimation Code Theory (LCT) (semantic waves) among first year chemistry students. The aim of the study was to investigate the extent LTC (semantic waves) reduce the entropy concept's complexity and abstractness when introducing the second law of thermodynamics. A purposive sampling technique was used to sample participants from the accessible population. A sample of two hundred (n = 200) first-year chemistry students was chosen at a public university in South Africa. The study adopted a mixed-method research design. Data were collected using an Introductory Second Law of Thermodynamics Questionnaire (ISLTQ) and semi-structured interviews. Creating semantic waves during the lectures left many students in the trough of the sinusoidal wave of abstractness and complexity. Ranking the concepts related to entropy showed that many students knew the hierarchical order of the concepts. However, the interviews revealed that students tended to link entropy to the spread of particles instead of energy. The findings of this study are diagnostic and they assist module designers in determining the level of abstraction and complexity students face when introducing the second law of thermodynamics.

Conventional teaching about the law of conservation of mechanical energy (LCME) often results with students trying to solve problems by remembering similar problems they already covered in classes. Consequently, many students fail to transfer their knowledge to simplest real-life problems. Therefore, a pre-test-post-test quasi-experiment was conducted to evaluate the effects of an alternative, system-based approach to teaching about LCME. The study included 70 upper-secondary students from the First Bosniak Gymnasium Sarajevo, Bosnia and Herzegovina. Firstly, all students learned about energy in a conventional way. Then they wrote a test on LCME and had three additional hours of teaching about this topic, where one group of students learned in line with the forces-variant of the system approach (e.g., discussing conservative and non-conservative forces) and the other group with the process-variant of the same approach (e.g., discussing system's states and processes like in thermodynamics). For both variants, only three hours of system-based teaching proved to substantially improve the students' level of LCME understanding compared to the level of understanding they had after conventional teaching. It follows that the system approach may work well at the upper-secondary level, if it is introduced through the scaffolding-and-fading technique.

The aim of this study is to examine the "Knowledge of Student Understanding (KSU) of pre-service science teachers on "Heat and Temperature" topics. The sample of the research consists of 268 pre-service teachers studying at the 4th grade in the science teaching program of five different universities in Turkey. This research is a case study. The data of the study are collected with "Student Thinking Comprehension Test" and "Interview Form". "Scoring Rubrics for Knowledge of Student Thinking" and "Rubric for Analysis of Interviews" are used for the analysis of data. The data of the research are analyzed descriptively on the basis of these rubrics. The results of the study reveal that the vast majority of pre-service science teachers cannot effectively diagnose the student's inaccurate knowledge that emerges in solving specific problems in Heat and Temperature? topics. In addition, it is shown that the majority of pre-service science teachers have a little knowledge regarding the difficulties and limitations of students while learning "Heat and Temperature" subjects. According to these results, the KSU of the pre-service science teachers in "Heat and Temperature" topics is insufficient in the process of starting their profession.

This study investigates the preservice elementary teachers' ability to use the components of an argument structure on a given science topic as well as the quality of the developed argument during their sophomore and senior year. In doing so, the study also aimed to discuss the effect of teacher education programs on the development of argumentation skills of students over two years. A qualitative research approach was applied. The data were collected from the same participants at the end of their second and fourth years through having them discuss different generic frameworks. The argumentative discourses were analyzed in four stages. The scientific argumentations' overall quality was at low-level. The participants' claims were generally established without using data and warrants. They failed to transfer their scientific knowledge into discussion using qualifiers and rebuttals. The quality of the data, claim, and warrants were insufficient and included misconceptions. The teacher education program increased the students' scientific knowledge to some extent. Courses with more argumentation-based discussions could help students to increase the quality of their argument and their capabilities to use components of an argument structure.

This study aimed to determine the relationships that prospective science teachers have established between thermodynamics and environmental problems. The study was conducted with the case study method. The sample consisted of 74 senior prospective science teachers selected by purposive sampling and studied in Science Teaching Department in the faculty of education of a state university in Turkey in the spring semester of the 2018-2019 academic year. The data collection tool consisted of two parts: The first part included four open-ended questions. It was the questionnaire in which the prospective science teachers were asked to explain the laws of thermodynamics. In the second part, eleven open-ended questions were expected to be explained the given environmental problems by the laws of thermodynamics. As a result of the study, prospective science teachers were found to have difficulty applying thermodynamics laws to daily events or environmental problems.

The achievement of a proper conceptual change is a challenge for students since there are some constraint-based interactions including different ontological categories with the well-known dichotomy of matter or process. To mitigate this state of affairs, more instructional sequences with pedagogical approaches are needed because many students, regardless of their grade or academic background, incline to see science conceptions with emergent processes as an ontological matter. In this regard, compared to the existing ones, a newly-introduced model called Common Knowledge Construction Model (CKCM) is likely to leverage student learning. The purpose of the study was to investigate the possible impact of CKCM on students' understanding of heat transfer. The study had a pretest-post-test, pre-experimental research design based on qualitative data. The participants of the study comprised a total of 30 sixth grade students selected by convenience sampling model at a state school located in the south-east of Turkey. The data were collected via a semi-structured questionnaire consisting of five open-ended questions, and analyzed using coding method of the qualitative data analysis. The results revealed that majority of the participant students explicated their understandings of heat transfer with less alternative conceptions. The results also showed some improvements in students' understanding of heat transfer via the aforementioned teaching model. [Note: The page range (114-136) shown on the PDF is incorrect. The correct page range for this article is p114-135.]

In the laboratory, data acquisition systems are important, as they allow us to easily and precisely collect data. In this sense, Arduino emerges as an automatic data acquisition device with great potential, due to its low cost and high versatility. In this work, we describe the development of an experimental apparatus, with automatic data acquisition using Arduino, to determine the variation of the solubility of potassium nitrate in water as a function of temperature. Ten chemistry teachers in initial training were involved in developing and validating that alternative experimental procedure for secondary school. Pre-service chemistry teachers determined the solubility of the aforementioned salt at different temperatures, using both a method for the study of the solubility of salts that does not resort to automatic data acquisition as well as the alternative method proposed in this work. The experimental solubility curves of potassium nitrate were plotted for both situations. The experimental results obtained by both methods are similar and very close to the values reported in the literature. Moreover, chemistry teachers in initial training recognize that the proposed method can promote the development of secondary students' skills such as greater mastery in assembling electrical circuits and in the use of technological devices or software for automatic data acquisition and processing. Thus, the results suggest the feasibility of the developed experimental method for its implementation in an educational context with secondary students and prove it to be an asset for the education of students, when compared to the traditionally used method.

The dissolution of cobalt­(II) chloride in an appropriate binary alcohol solvent yields an equilibrium mixture, consisting of the differently colored octahedral (pink in color) and tetrahedral (blue in color) cobalt­(II) coordination complexes, which can exhibit a brilliant and reversible pink-to-blue color transition over a ~10 °C window - i.e., function as a thermochromic thermometer where the dynamic equilibrium is described by CoCl[subscript 2](R[subscript 1]OH)[subscript 4]+2R[subscript 2]OH?CoCl[subscript 2](R[subscript 2]OH)[subscript 2]+4R[subscript 1]OH. In this experiment, students are challenged to exploit the principles of equilibrium in order to exhibit control over the chemical system and design, model, and implement a thermochromic thermometer which, when correctly prepared, exhibits a specifically targeted composition and color at a unique temperature assigned to each student. By employing fundamental principles of physical chemistry in conjunction with spectrophotometric analysis, students quantify pertinent thermodynamic parameters for the chemical system, and then use them to predictively model/calculate (via Excel) the exact initial composition required to enable the specifically desired equilibrium composition and color to emerge at precisely the target temperature. Completely directed by their modeled prescriptions, students then validate their theoretical predictions by implementing the functional thermochromic thermometer in the laboratory.

The Arduino microcontroller is currently one of the favorite tools of makers, and many teachers have used it in teaching or experiments. In addition, light-emitting diode (LED) smart lighting is the worldwide trend in lighting. There are many teaching demonstrations or applications of color addition using LEDs. Furthermore, the Internet of Things (IoT) is a popular emerging technology today, and the sensor is the most important component in the perception layer of the IoT, which makes teaching, research, or application related to sensors very important. Therefore, this study shows that an Arduino microcontroller can be used as an experimental setup for the teaching of light color mixing, light intensity detection, and ambient temperature sensing via a tricolor (red, green, and blue [RGB]) LED and two types of sensors: photoresistors and thermistors. The setup has intuitive, concrete, and multifunctional features, and is expandable, which is different from the typical experimental setup designed for only a single specific purpose. It is also suitable for students learning about light color mixing and sensor-related physics course experiments or demonstrations, whether they be in high school or college.

In this action research study, I propose a guided inquiry alternative to the traditional physical chemistry laboratory module where the equilibrium constant of acetic acid is determined conductometrically. I complement the guided inquiry structure with a 360° feedback support framework for the preparation and assessment of a laboratory report. The new laboratory module showed great promise, improving both report marks and student experiences. Diligent training of teaching assistants, ample availability of formative feedback, and reservation of sufficient time for the guided inquiry activities were identified as key contributors for the success of the module.