Georgios
Tsaparlis
*a and
Odilla E.
Finlayson
b
aDepartment of Chemistry, University of Ioannina, GR-451 10 Ioannina, Greece. E-mail: gtseper@cc.uoi.gr
bSchool of Chemical Sciences, Dublin City University, Dublin 9, Ireland. E-mail: odilla.finlayson@dcu.ie
Svante Arrhenius (1859–1927)
(Theory of solutions, 1912, p. xx)
Physical chemistry (PC) is considered an essential course in the education and training not only of chemists, but also of many other specialists. In addition, the concepts, models, theories, methods and tools of PC permeate all chemistry courses at both secondary and tertiary levels. This special issue of Chemistry Education Research and Practice is dedicated to PC education and its multiple facets and aspects – historical, philosophical, psychological, conceptual, contextual, experimental, theoretical, mathematical, computational, phenomenological and molecular – as well as to its various areas, such as classical thermodynamics, electrochemistry, chemical kinetics, quantum chemistry, statistical thermodynamics, spectroscopy, etc. Many of these aspects are reflected in this themed issue.
The purpose of this editorial is twofold: (i) to provide a preview of the contributions and to outline their organisation in the themed issue; (ii) where appropriate to highlight common elements between contributions. The editorial concludes with insights into the areas for future research in PC education.
If scientists were absolutely ‘objective’, the path from data to models and theory would be free from controversy. The history of science shows that interpretation of experimental data is extremely complex. This inevitably leads to controversies, hence, making science replete with controversies. In PC, a controversy about the very existence of atoms and molecules was led by Wilhelm Ostwald, who insisted that, being not directly observable, they were hypothetical entities, and so there was no place for them in “the basic truths of science” (Sutton, 2003). Most science textbooks and curricula, however, almost completely ignore controversies. Philosophers of science refer to this deficiency as a ‘paradoxical dissociation’ (Machamer et al., 2000). In a series of studies, Niaz has demonstrated how controversies in science provide a rich background to education, helping the development of a better understanding of science by students (see Niaz, 2012).
Three papers in this issue deal with old or current controversies in PC and how these can be used for the advancement of PC education. de Berg considers the significance of the origin of PC as this is reflected in the ionists vs. hydrationists controversy in connection with the case of electrolyte solution chemistry, and in particular with the data on osmotic pressure, which led to an equation of state for aqueous solutions. Weinhold and Klein address the understanding of the true nature of hydrogen bonding, based both on quantum chemical calculations and on experimental data, with the aim of contributing to resolving the long-standing controversy between electrostatic ‘dipole–dipole’ vs. ‘partial covalency’ descriptions of hydrogen bonding. Finally, the lessons from the history of quantum physics in relation to the ongoing controversy over its interpretations and foundations are considered by Greca and Freire Jr. as a way of improving the teaching of quantum physics and quantum chemistry.
From the education perspective, de Berg examines the controversial character of PC and its implications for the study of the nature of science (NOS), as well as the significance of mathematics for PC in relation to the equation of state for the osmotic pressure of an aqueous electrolyte solution. The dual interpretation of the data can be used as a rich resource for demonstrating the role of scientific argument in the establishment of scientific knowledge. The author provides a list of “distinct and suitable arguments and counter-arguments” that can support “a vigorous class debate or incisive class assignment”.
IUPAC has recently reformulated the definition of H-bonding, by “endorsing a sensible evidence-based operational procedure for determining what is (or is not) a hydrogen bond, based on a composite array of correlated experimental properties. …The methodology suggests how one can apply standard regression techniques to quantify the relative weightings assignable to competing theories of H-bonding, with considerable conceptual and pedagogical implications”. In their paper, Weinhold and Klein, examine resonance covalence from the natural bond orbital (NBO) perspective, as well as direct and regression-based evidence, which in part “challenge electrostatic orthodoxy” and provide examples that “offer direct evidence against the textbook dipole–dipole rationale”.
According to the authors, “contrary to common textbook presumptions, all such evidence points to the superiority of covalency-based descriptors of hydrogen bonds, corresponding to intrinsic conceptual formulation as resonance-type fractional chemical bonds.” Finally, the question of “What should be taught?” about H-bonding is addressed, of which the answer involves “both narrow replacement definitions of H-bonding as well as broader changes of perspective in the teaching of Lewis structural and resonance concepts”. Five pedagogical recommendations are made starting with the recommendation that hydrogen bonding should be defined in terms of underlying charge transfer, donor–acceptor, and 3-center/4-electron resonance concepts.
According to the authors, in principle “quantum theory must be described by its own quantum mathematical formalism and … we cannot grasp it through pictures or mental images…”. However, a ‘thoughtful’ introduction of the complementarity principle will help students overcome the obstacle of illustrating the quantum world with images, such as waves and particles. Further, the authors consider a spectrum of options for the teaching of quantum physics and quantum chemistry that in their opinion are grounded in the history and philosophy of science and teaching experience. Teaching should stress quantum features such as the superposition principle and the measurement problem, as well as such effects as quantum entanglement, quantum beatings, and decoherence, in addition to the description of the current research in these topics which may be grasped at a qualitative level.
The problems associated with the conventional images of the Bohr model of an atom should be avoided by the use of very simple, dual-level systems, which show clear quantum behaviour and from which it is possible to discuss the most important quantum properties. The probabilistic aspect of quantum mechanics should be emphasised in order to prevent students from attributing physical reality (that is, deterministic models) to the mathematical constructs of core chemistry concepts, such as orbitals (see also Tsaparlis, 2013). Moreover, the fruitful results of quantum mechanics in the solution of chemistry problems, in contrast to the Bohr model, should be stressed. Historical cases following old quantum physics should be avoided. The teaching of quantum mechanics may emphasise formalism, without worrying about the ultimate ontological status of mathematical terms. The controversy over its foundations and interpretations can serve as the basis for the teaching of the historical and philosophical aspects of science. The teaching of, at least, introductory quantum mechanics for any science undergraduate student and in particular for chemistry students, should be mainly conceptual. Appropriate images could assist with conceptual understanding. Finally, it is recommended that quantum mechanics applications to real problems are included too.
In addition to the two papers by Weinhold and Klein and by Greca and Freire Jr. that were previewed above, two further papers deal with educational aspects of quantum chemistry. Dangur, Avargil, Peskin and Dori developed a module for teaching elementary quantum chemistry, emphasizing interdisciplinary real-life applications and investigated the effect of the module on the visual and textual understanding of quantum mechanical concepts. And Barradas-Solas and Sánchez Gómez examine the omnipresence in textbooks and research literature of graphical and pictorial representations of the so called ‘chemical orbitals’ as they are used to represent both chemical structures and processes (e.g. reaction mechanisms).
For the evaluation of students’ chemical understanding, the authors used the four-level model of chemistry that includes the macro, submicro, symbolic, and process levels. Their specific research objectives were: (1) to investigate the effect on the students of the visual-conceptual approach in the new module; and (2) to compare the learning outcomes of three research subgroups in terms of visual and textual understanding of chemistry in general and of quantum mechanics in particular. The qualitative analysis reflected four evolutionary stages of understanding quantum mechanics: naïve models, such as the planetary or solar system deterministic model; hybrid models that mix definite orbits of the electron with the probabilistic quantum mechanical model; a hybrid model using a mathematical formula; and the visual-conceptual quantum mechanical model. In agreement with the recommendation of Greca and Freire Jr., the historical reconstruction of the atomic model may be a source of confusion to some students. The quantitative analysis has shown that the students in this study improved their textual and visual chemical understanding skills. The authors conclude the paper by proposing the addition of a fifth level of understanding – the quantum level – to the four levels mentioned above. This level includes the ability to depict the electronic structure of atoms, molecules and solid state in terms of quantum mechanics theory. This quantum level of understanding brings to mind the quantum logic proposed by Birkoff and von Newmann (1936), which deals with the logical and mathematical structure of the theory of quantum mechanics, a theory that does not “conform to classical logic”.
Graphical and pictorial representations of orbitals are common in any chemistry textbook (general, organic or inorganic and even at second level education), and are used to represent both the structures and processes. Reaction mechanisms and bonding schemes are perhaps the most relevant examples of these processes. The authors present a series of examples of the qualitative way chemists usually employ orbitals in their structural reasoning, often without any reference to their quantum treatment; for instance connecting the language of frontier orbitals (HOMO and LUMO) with the electron flows of classical chemistry, and thus providing the base of the curved arrow usage. In addition, the rapid evolution in recent years of computer animations of bonding and of mechanisms leads many users to feel that “they are visualizing orbitals and their interactions as they happen”.
The various examples of orbital representations used in books and the research literature are derived on the basis of varying levels of quantum chemistry theory. Some derive from qualitative or naïve models and approximations, while others derive from high-level, modern quantum chemical computations that approximate and adequately reproduce experimental data. The authors are aware that their examples come from a variety of methods and that among them there is a wide range of levels of sophistication, but they refer not to their mathematical and/or quantum-mechanical adequacy, but to their usage as chemical orbitals. In addition, the authors explicitly state their opinion that “these chemical orbitals and their accompanying quantum concepts do not pose special difficulties; on the contrary, their visual character may be an asset, so they must be present in chemical education. Moreover, the usage of a quantum-like jargon is not, in fact, a flaw, but a lexical mannerism, an idiosyncratic feature of the language of chemistry”. This is or should be – at least in part – in line with Greca and Freire Jr.'s recommendation (see above) that the teaching of introductory quantum mechanics for chemistry students should be mainly conceptual, and that images could assist with the conceptual understanding.
Five papers in this issue deal with the teaching and learning of thermodynamics. Bain, Moon, Mack, and Towns review systematically the literature from different discipline-based education research resources: chemistry, physics, engineering, and undergraduate mathematics education. Nilsson and Niedderer study undergraduate students' conceptions of enthalpy, its change and related thermochemistry concepts. Making a shift from classical thermodynamics, Hernández, Criswell, Kirk, Sauder, and Rushton consider a number of issues related to the particulate-level models of adiabatic and isothermal processes in upper-level (advanced undergraduate and beginning graduate) chemistry courses. Tumay distinguishes between mental models and misconceptions and derives prospective teachers’ mental models of vapour pressure. Finally, assessment is the focus of the study by Wren and Barbera, who report on quantitative evidence for the uses and interpretations of data from their thermochemistry concept inventory.
The review starts by focusing on research into factors influencing student success in PC. Then, the relationship between mathematics and thermodynamic knowledge is considered. Understanding of partial derivatives, Maxwell's relations, and differentiation in the context of thermodynamics have been examined. According to the authors, to understand thermodynamic concepts, “students must be able to translate between mathematical representations and the physical meaning they represent”. However, students “may have difficulties interpreting physical meaning from the mathematical expressions or creating mathematical expressions based upon a description of a physical process”. Also students may demonstrate mathematical proficiency even though they lack a conceptual understanding of mathematical concepts.
Despite the fact that classical thermodynamics deals with macroscopic phenomena about matter and energy, understanding and operating with the particulate nature of matter as a tool for explaining and predicting thermal and chemical phenomena is another useful area of research. Students' relevant misconceptions have also been studied. Therefore the review also focuses on the study of students' conceptions about specific topics of thermodynamics, namely, the first, second, and third laws, and spontaneity and equilibrium. Finally, directions for future research and implications for practitioners are discussed.
Questionnaires, examination questions, hand-outs and interviews were employed in this study. Niedderer's procedure of ‘iterative analysis’ was used for data analysis. Nine qualitative categories of conceptions were constructed, and, further, conceptions were grouped into ‘underlying’ and ‘logical’, the former denoting the general notions students use in forming their conceptions, and the latter involving the employment of specific alternative logic in the formation of the conceptions. Although such a grouping implies that the conceptions are each placed on one side of a continuum, in reality they should be regarded as more/less underlying/logical. In addition, the relationships between the conceptions are examined.
After identifying prospective teachers' misconceptions about vapour pressure, the author applied the constant comparison technique and analytical inductive analysis to reveal the participants' mental models of vapour pressure. It was found that only few of the participants had constructed a scientific model and used this model successfully in explaining the vapour pressure of liquids under different conditions. Three faulty mental models emerged: (1) the vapour pressure of a liquid depends on the total number of vapour particles; (2) once the liquid–vapour equilibrium is established, the number of vapour particles is fixed and does not change; (3) vapour pressure is exerted only onto the surface of the liquid. The author points out that emphasis should be paid to teaching about the liquid–vapour equilibrium system and vapour pressure as an emergent property of that system. Experimental comparisons of the vapour pressure of different systems should be made, supported by animated or static submicroscopic illustrations to represent the dynamic nature of the liquid–vapour equilibrium system.
Three phases of quantitative data were collected, and the data sets were analysed separately using the dichotomous Rasch model. It was found that the TCI is unidimensional and locally independent, and that all items had acceptable infit statistics, indicating good item functioning for students within the ability range of the item. Comparison between honours and non-honours sections of the same general chemistry course revealed that the honours students did perform better as expected. Finally, the authors provide evidence that supports the validity and the reliability of the TCI data, as well as the generalisability of the instrument.
Focusing on the organisation of PC textbooks, the three principal areas of PC and their sequencing should be considered: (i) thermodynamics, which deals with the energetics of chemical reactions; (ii) quantum chemistry, which deals with the structures of isolated molecules, and (iii) chemical kinetics, which concerns the rates of chemical reactions (McQuarrie and Simon, 1997). Some authors (e.g.Atkins and de Paula, 2010) use different labels for these areas: equilibrium, structure, and change, respectively. Others (e.g.Levine, 2009) add a fourth area, that of statistical mechanics/statistical thermodynamics. In his paper, Tsaparlis examines the organisation/sequencing of the major areas of PC in PC textbooks. As an ultimate research question, the author asks if there is an ‘optimum teaching-learning sequence’ for undergraduate instruction for the various major areas of PC. According to the author, this is a controversial issue, which cannot be answered solely by the analysis of textbooks, but a wide range of information should be considered.
The organisation/sequencing of the major areas of PC in twenty PC textbooks is then considered, with six categories of organisation identified. An account of textbooks authors' philosophies and arguments, based on the prefaces of the various books, provides justifications with respect to the structure and sequencing of the various areas of PC. Authors who favor the traditional analytical approach consider the topics of quantum chemistry, spectroscopy and statistical thermodynamics more difficult. Other authors consider that an early confrontation with quantum mechanics is advantageous to the student. However, many authors are open to alternative approaches. Finally, some authors propose the simultaneous development of classical and statistical thermodynamics, while others prefer a simple introduction to the ideas of statistical thermodynamics at the beginning.
• The abstract nature of physical chemistry
• Conceptual understanding in the various sub disciplines of physical chemistry
• Concept learning versus mathematical approach to physical chemistry
• Assessment of physical chemistry – testing for conceptual understanding or mathematical manipulation
• Mathematical coverage and mathematical rigour: how much and how far?
• Problem solving related to physical chemistry
• The physical chemistry laboratory
• The physical chemistry curriculum
• The role of textbooks in the teaching of physical chemistry
• The interface of physical chemistry with the other branches of chemistry
• Physical chemistry in context
• Computational chemistry
• Use of symbolic mathematics engines for data analysis, model building, and problem solving
• Computer simulations and online learning in physical chemistry
• Physical chemistry concepts and topics as part of general chemistry courses at second and third level
• Reviews and perspectives (including historical perspectives).
The topics that are covered in this issue are shown in italics, while the remaining topics are not represented. Although there had been manuscripts submitted for this themed issue for some of these topics, other topics lacked submissions. In addition, two other manuscripts were still to be revised at the time of completing this editorial, so they could not be included in the themed issue. Therefore, it is considered useful to outline the key areas for future education research in the special domain of PC. For a relevant review of research in PC education, see Tsaparlis (2008).
The extent of mathematical coverage is an issue that was considered in some papers, especially in relation to the teaching and learning of quantum chemistry and of thermodynamics. In any case, this field of research has great potential for further fruitful exploitation. In particular, mathematical coverage in other areas of PC and the connection of the mathematical guise with physical interpretations deserve further investigation.
Problem solving is an essential part of PC instruction. Often, the problems involve the application of mathematical relations and tools in order to answer a set of usually quantitative questions. Excessive practice on the part of the students on such problems may turn them into routine exercises. Conceptual questions are also set. The situation with ‘real’ non-algorithmic PC problems is quite different and these problems prove very demanding for the students. Tsaparlis (2005) has carried out a correlation study of the role of a number of cognitive variables on solving the latter type of problems. On a different mode, Gardner and Bodner (2008) examined qualitatively the ‘problem-solving mindset’ of chemistry and physics students in the context of an introductory quantum mechanics course. A study into the transfer of mathematical knowledge to chemistry has suggested that the difficulties that students have of transfer between mathematical context and chemical context may be due to a lack of mathematical understanding (Hoban et al., 2013).
The PC laboratory is an integral component of the PC course. The main purposes of laboratory work are to teach hand skills and to illustrate theory or, from a different perspective, to teach not just the content of science, but also about the methods of science (Leach, 1998). In addition, practical work can stimulate students' interest and enjoyment, enhance the learning of scientific knowledge, and develop ‘scientific attitudes’, such as open-mindedness and objectivity (Hodson, 1990). However, little educational research has been carried out so far on the PC laboratory. Tsaparlis and Gorezi (2007), for instance, have investigated the addition of project-type tasks, mainly taken from articles in the Journal of Chemical Education, to a conventional expository PC laboratory, and found many positive aspects, such as the connection of chemistry with everyday life and modern applications, and the development in students of the feeling of ownership of the work. Problem-based learning approaches have been shown to be effective within laboratory teaching (Kelly and Finlayson, 2007) but again the extent of mathematical understanding may influence the student's preference for more expository activities in PC (Kelly and Finlayson, 2009).
Context-based learning uses a real-life case as the starting point in teaching, and is known to provide a rich environment for education, increasing students' level of interest and motivation. Relevant to context-based learning is problem-based learning, in which the context is established through a real-life problem (Overton et al., 2009). In the case of PC, the placing of its content in context involves not only its relevance to modern uses in everyday life, but also its applications to the other subjects of chemistry. Zielinski and Schwenz (2001) have pointed out the importance of including context-rich teaching materials in PC education. Belt et al. (2005) for instance, have developed a context-based approach to teaching aspects of thermodynamics, kinetics, and electrochemistry to early undergraduate courses.
The advantages of using computers in PC education have been recognised. For instance, Johnson and Engel (2012) have integrated a modeling exercise into the undergraduate PC course, and have reported that students found the added computation material useful and not overly difficult. The use of computers has also been highlighted in a number of papers in this issue. In connection with updating the teaching of hydrogen bonding, Weinhold and Klein (this issue) recommended that students should be exposed “ASAP to modern theoretical discovery tools … for calculating and visualizing accurate wavefunctions”. Computer simulations and online learning in PC is then another area where educational research is necessary. The availability of computer-based instructional material and resources that use models, simulations, and animations provides rich tools for educational investigations. For instance, the Digital library for physical chemistry of the Journal of Chemical Education (Zielinski, 2005) includes instructional resources that span the PC curriculum. For instance, “Quantum states of atoms and molecules” is an introduction to quantum mechanics applied to spectroscopy, the electronic structure of atoms and molecules, and molecular properties.
Regarding the various areas of PC it is apparent that the contents of this themed issue are dominated by quantum chemistry and chemical thermodynamics. Electrochemistry, chemical kinetics, statistical thermodynamics, and spectroscopy are not represented. It should be pointed out that, while there are reported studies on electrochemistry in published PC education research, there are limited studies on kinetics and few, if any, on statistical thermodynamics and spectroscopy. Statistical thermodynamics serves as a bridge between quantum chemistry and thermodynamics, and as such it should be of particular interest from the educational point of view. On the other hand, spectroscopy has a direct relationship with quantum chemistry (but also with statistical mechanics), and if this is coupled with the fact that it has observable examples (the spectra) and many applications, it is evident that it must be challenging to explore its educational aspects.
Finally, PC textbooks certainly offer further opportunities for various types of content analysis regarding not only their textual features (conceptual and mathematical approach) and their visual representations, but also their questions, problems, home assignments and projects. Of special interest is the analysis of electronic materials (CDs and links to web-based materials and resources), including the development and use of digital textbooks.
The Disjunctive Conjunction “Or”
(excerpt) †
… the brazen god of war let loose a shriek, roaring,
thundering loud as nine or ten thousand combat soldiers
shriek with Ares' fury when massive armies clash.
–ILIAD
[…]
Oh that “or”:
an expression both of mockery and of courtly precision,
an equivocal smile out of an incommunicable and nonparticipating wisdom
[…]
knowing full well that precision is unachievable,
that precision does not exist (which is why the pompous air
of certainty is so unforgivable […]).
“Or,” disjunctive conjunction, modest outcome of the mystery of uncertainty,
profound response to the multiplicity of essences and phenomena,
through you we accommodate […]
the many nuances and aspects of the black down to invisible white.
Yannis Ritsos‡
(June 18, 1969)
Footnotes |
† Yannis Ritsos. Yannis Ritsos, Repetitions, Testimonies, Parentheses. Translated by Edmund L. Keeley. © 1991 Princeton University Press. Reproduced by permission of Princeton University Press. |
‡ Greek poet (1909–1990). |
This journal is © The Royal Society of Chemistry 2014 |