Kinsey
Bain
and
Marcy H.
Towns
*
Department of Chemistry, Purdue University, West Lafayette, IN, USA. E-mail: mtowns@purdue.edu
First published on 11th January 2016
We review literature on the teaching and learning of chemical kinetics at both the secondary and tertiary levels. Our aim in doing so is to summarize research literature, synthesize recommendations for future research, and suggest implications for practitioners. Two main bodies of literature emerged from the chemical kinetics education research: student understanding and instructional approaches to teaching. The student understanding findings are discussed in light of the anchoring concepts content map for general chemistry. We also review relevant literature about research on undergraduate mathematics education, as mathematics is often used as the primary language of communicating chemical kinetics. Finally, we discuss directions for future research and implications for practice.
Total number of articles reviewed | Secondary level | Tertiary level | Experts or in-service teachers | |
---|---|---|---|---|
Kinetics | 26 | 18 | 10 | 1 |
Related Rates | 8 | 0 | 8 | 0 |
Herein, we review 34 studies from various science education research journals, including The Journal of Chemical Education, Chemistry Education Research and Practice, International Journal of Science Education, Journal of Research in Science Teaching, Mathematics Education Research Journal, Educational Studies in Mathematics, and others. Peer-reviewed conference proceedings were also included, as this is a common form of publication in the RUME community. Searches were conducted in the Education Resource Information Center (ERIC) database, using keyword searches, such as “chemical kinetics” and “reaction rates”, often coupled with phrases such as “student understanding” or “instruction.” The literature search was expanded to include citations within articles found initially. Another key source of literature was Justi's (2002) book chapter titled “Teaching and Learning Chemical Kinetics.” While completing this review, we continued to search recent issues of science education research journals in order to include the most recent work possible.
Most of the findings from the reviewed literature fit into an organizational structure from the anchoring concepts content map for general chemistry (Holme et al., 2015). Nearly all could be classified into six of the ten anchoring concepts identified by the ACS Exams Institute: (1) kinetics, (2) equilibrium, (3) energy and thermodynamics, (4) experiments, measurement, and data, (5) chemical reactions, and (6) intermolecular interactions. The findings are further organized according to the foundational understandings (and their particular articulations) associated with each anchoring concept. It is our hope that situating literature findings in such a way will be meaningful and useful for practitioners and researchers alike.
The first kinetics enduring understanding is that “chemical change can be measured as a function of time and occurs over a wide range of time scales” (Holme et al., 2015). This is articulated in three ways, which are used to organize the alternative conceptions in Table 2. Analysis of the findings from the literature reviewed revealed that students have many difficulties in this area. Çakmakci's research with secondary and tertiary Turkish students (Çakmakci et al., 2006; Çakmakci, 2010; Bektaşli and Çakmakci, 2011) identified specific student difficulties in defining rate as shown in Table 2. These ranged from students' inability to state any sort of definition for the term rate to defining it incorrectly (e.g. reaction rate is time required for reactants to form products). Çakmakci's findings are consistent with other studies, such as those conducted by Boz and colleagues (Taştan-Kırık and Boz, 2010, 2012; Yalçınkaya et al., 2012) in which students defined reaction rate as simply reaction time or that rate depends on both the concentrations of the reactants and products.
The rate of the reaction must be defined in a manner that is not dependent on which reactant or product is used to measure it. | |
The reaction rate should incorporate reaction stoichiometry when it is defined. | |
Inability to define rate of reaction (e.g. defining reaction rate as reaction time) | Çakmakci et al. (2006) and Bektaşli and Çakmakci (2011) |
Rate is generally defined as the change in concentration of a reactant or product as a function of time. | |
Chemical reactions may occur at a wide range of rates, and a key aspect of rate is related to the concentration of species involved in the reaction. | |
Inability to define rate of reaction (e.g. defining reaction rate as reaction time) | Çakmakci et al. (2006) and Bektaşli and Çakmakci (2011) |
Reaction rate is the time required for reactants to form products (or simply reaction rate is reaction time) | Akkuş et al. (2003), Çakmakci (2010), Çalik et al. (2010), Taştan-Kırık and Boz (2010), Kolomuç and Tekin (2011) and Yalçınkaya et al. (2012) |
Reaction rate is the amount of substance turning into products per unit time at a constant temperature and concentration | Bektaşli and Çakmakci (2011), Taştan-Kırık and Boz (2012) and Yalçınkaya et al. (2012) |
The reaction rate is the collision of A and B in a given time | Kolomuç and Tekin (2011) |
Increasing the concentration of reactants increases the reaction time | Kurt and Ayas (2012) |
The rate of reaction is/isn't affected by the concentration of reactant that take part in the reaction | Kolomuç and Tekin (2011) |
Reaction rate depends on both the concentrations of reactants and the products | Yalçınkaya et al. (2012) |
There is a linear relationship between the concentration of reactants and the reaction rate (students expected a higher rate from increasing concentrations of reactants) | Çakmakci et al. (2006) and Turányi and Tóth (2013) |
When solids are included in reactions, surface area is an important factor in the rate of reaction. | |
A reactive solid with a large surface area will react more rapidly than the same solid with a smaller surface area. | |
Increasing the surface area (of reactants) increases the possibility of collision and the kinetic energy of the particles | Yalçınkaya et al. (2012) |
The next enduring understanding is that “empirically derived rate laws summarize the dependence of reaction rates on concentrations of reactants and temperature” (Holme et al., 2015). Our analysis of studies in this review revealed that this is the anchoring concept with the greatest array of alternative conceptions as shown in Table 3. Although the studies had a variety of aims, the most commonly reported alternative conceptions involved understanding the relationship between concentration of reactants and the reaction rate or the relationship between temperature and the reaction rate.
The “order” of a reaction is derived from the exponent on the concentration term of a given reactant in the rate law. | |
Increasing the concentration of reactants always increases the rate of reaction | Van Driel (2002), Taştan et al. (2010) and Kıngır and Geban (2012) |
An increase in the initial concentration of reactants would increase/decrease the rate of a zero-order reaction | Çakmakci (2010) |
The rate of reaction is/isn't affected by the concentration of reactant that take part in the reaction | Kolomuç and Tekin (2011) |
Reaction rate depends on both the concentrations of reactants and the products | Yalçınkaya et al. (2012) |
There is a linear relationship between the concentration of reactants and the reaction rate (students expected a higher rate from increasing concentrations of reactants) | Çakmakci et al. (2006) and Turányi and Tóth (2013) |
Difficulty understanding the meaning behind the different orders of reactions | Yalçınkaya et al. (2012) |
Rate laws are always determined experimentally, and the methods of initial rates or graphical depiction of rates provide the key method for determining rate laws. | |
Concentrations of reactants in a rate equation have exponents equal to the stoichiometric coefficients of the reactants in the balanced equation for the reaction (no awareness of experimental determination of relation between rate, concentration, and order of reaction) | Çakmakci et al. (2006), Çakmakci and Aydogdu (2011), Kıngır and Geban (2012) and Turányi and Tóth (2013) |
Reaction rate is equal to the product of concentrations and reactants | Kolomuç and Tekin (2011) |
Once known, a rate law can be used to quantitatively predict concentrations of species involved in a reaction as a function of time. | |
Increasing the concentration of reactants increases the reaction time | Kurt and Ayas (2012) |
The temperature dependence of the reaction rate is contained in the rate constant. This temperature dependence is often well modeled by the Arrhenius model. | |
Under most circumstances, an increase in temperature leads to an increase in reaction rate. | |
When the temperature is increased, the rate of the endothermic reaction increases, but the rate of the exothermic reaction decreases | Hackling and Garnett (1985), Akkuş et al. (2003), Çakmakci and Leach (2005), Aydin et al. (2009), Çakmakci (2010), Sözbilir et al. (2010), Çakmakci and Aydogdu (2011), Kurt and Ayas (2012) and Taştan-Kırık and Boz (2012) |
Increasing temperature increases the time necessary for a reaction to occur (decreases reaction rate) | Van Driel (2002) and Taştan-Kırık and Boz (2012) |
A rise in temperature does not affect the rate of exothermic reactions | Çakmakci (2010) and Yalçınkaya et al. (2012) |
Exothermic reactions occur faster than endothermic reactions | Çakmakci (2010), Sözbilir et al. (2010), Çakmakci and Aydogdu (2011), Kolomuç and Tekin (2011), Taştan-Kırık and Boz (2012) and Yalçınkaya et al. (2012) |
Endothermic reactions occur faster than exothermic reactions | Çakmakci (2010), Sözbilir et al. (2010), Kolomuç and Tekin (2011) and Yalçınkaya et al. (2012) |
Increasing the temperature of exothermic reactions increases the rate of the forward reaction | Yalçınkaya et al. (2012) |
The rates of exothermic and endothermic reactions are equal if the temperatures are the same | Kolomuç and Tekin (2011) |
Empirical fits of temperature data in kinetics can be used to estimate the activation energy. | |
Temperature affects activation energy | Kaya and Geban (2012) |
Increasing the temperature increases the activation energy | Yalçınkaya et al. (2012) |
Increase in temperature decreases the activation energy | Taştan-Kırık and Boz (2012) |
As temperature decreases the activation energy, it enables the reaction to increase its rate | Kolomuç and Tekin (2011) |
Boz and colleagues (Aydin et al., 2009; Taştan et al., 2010; Taştan-Kırık and Boz, 2012; Yalçınkaya et al., 2012) reported many of these alternative conceptions in their work. Interestingly, Taştan et al. (2010) studied tertiary students' ideas about reaction mechanism through open-ended questionnaires and semi-structured interviews and found that students believed that increasing the concentration of reactants would always increase the rate of reaction. The findings of Boz and others are corroborated by Çakmakci and colleagues (Çakmakci and Leach, 2005; Çakmakci et al., 2006; Çakmakci, 2010; Çakmakci and Aydogdu, 2011). Çakmakci and Leach (2005) studied secondary and tertiary Turkish students’ understanding of the effect of temperature on reaction rates, as a part of their many related studies. They reported that students believed when temperature is increased, the rate of endothermic reactions increased, but the rate of exothermic reaction decreases.
These findings are not isolated to studies aimed at investigating students' understanding of kinetics. In the Netherlands, Van Driel (2002) studied secondary students' particulate nature of matter conceptions in the context of chemical equilibrium and kinetics. There were two frequent student-reasoning patterns in the context of chemical kinetics as listed in Table 3. One was that as concentration decreases, the rate of reaction decreases which is in accord with Taştan's et al. (2010) findings. The second was that as temperature increases, the reaction time also increased (decrease in reaction rate).
The third kinetics enduring understanding is that “most chemical reactions take place by a series of more elementary reactions, called the reaction mechanism” (Holme et al., 2015). Comparatively fewer alternative conceptions relate to this articulation as shown in Table 4. As discussed above, Taştan et al. (2010) specifically studied tertiary students' understanding of reaction mechanism, establishing that students did not recognize the slow step of the mechanism to be the rate-determining step. Rather, students typically used the net reaction equation when generating their rate expression. This finding was not unique to their study; Çalik et al. (2010) also reported the same conclusion.
It is possible to devise a series of reactions that, when summed, yield the overall reaction and provide a mechanism for how the reaction occurs. | |
Chemical reactions often occur via multiple steps, called the reaction mechanism. | |
Assumption that all reactions are elementary reactions (state rate law based on law of mass action) | Kıngır and Geban (2012) and Turányi and Tóth (2013) |
One step in a mechanism, the rate determining step, is often much slower than others and this slow step tends to determine the overall reaction rate. | |
No recognition of the slow step as the rate-determining step (typically use the net reaction equation) | Çalik et al. (2010) and Taştan et al. (2010) |
Species that appear in a reaction mechanism but not in the overall reactions are called intermediates and their identification can provide important evidence about how well the mechanism describes the reaction. | |
Conflation of “intermediate” and “activated complex” conceptions | Taştan et al. (2010) and Kolomuç and Tekin (2011) |
Kolomuç and colleagues (Çalik et al., 2010; Kolomuç and Tekin, 2011) also report other alternative conceptions from their studies. For example Kolomuç and Tekin (2011) studied Turkish in-service chemistry teachers' alternative conceptions of reaction rates and found that students conflated intermediate and activated complex concepts, which was also reported by Taştan et al. (2010).
“An elementary reaction requires that the reactants collide (interact) and have both enough energy and appropriate orientation of colliding particles for the reaction to occur” is another kinetics enduring understanding from the content map (Holme et al., 2015). Kolomuç and Tekin's (2011) study of in-service chemistry teachers revealed alternative conceptions that were categorized under two of the articulations for this enduring understanding. For example, students' reported that in reactions with high activation energy, the probability that molecules may collide is less, which is listed in Table 5. Such results are compatible with those of Boz and colleagues (Taştan-Kırık and Boz, 2012; Yalçınkaya et al., 2012). Among other findings, they report that students believe changing the temperature has a direct effect on changing the activation energy.
The collision theory of reactions indicates that collisions result in products only if there is enough energy and if the orientation of the reactants is appropriate. | |
The number of particles involved in a collision defines the reaction as unimolecular, bimolecular, or termolecular. | |
Even if it is the given value of the activation energy, the rate of reaction depends on whether the particles are single-atom or multi-atom | Kolomuç and Tekin (2011) |
At the molecular scale, reactions are required to overcome an energy barrier, called the activation energy, in order to take place. | |
In reactions with high activation energy, the probability that molecules may collide is less | Kolomuç and Tekin (2011) |
The energy required to initiate a reaction is called the activation energy. | |
In many cases, overcoming the activation energy is achieved by high-speed collisions between rapidly moving molecules in a sample. | |
Temperature affects activation energy | Kaya and Geban (2012) |
Increasing the temperature increases the activation energy | Yalçınkaya et al. (2012) |
Increase in temperature decreases the activation energy | Taştan-Kırık and Boz (2012) |
As temperature decreases the activation energy, it enables the reaction to increase its rate | Kolomuç and Tekin (2011) |
Exothermic reactions have lower activation energy than endothermic reactions | Taştan-Kırık and Boz (2012) and Yalçınkaya et al. (2012) |
Activation energy is the kinetic energy of reactants molecules | Çakmakci (2010) |
Activation energy is the (total) amount of energy released in a reaction | Çakmakci (2010) |
In reactions with high activation energy, the probability that molecules may collide gets less | Kolomuç and Tekin (2011) |
The higher the activation energy, the lower the reaction rate | Yalçınkaya et al. (2012) |
The final kinetics enduring understanding used in classifying the literature is that “catalysis increases the rate of reaction and has important applications in a number of subdisciplines of chemistry” (Holme et al., 2015). A large number of reviewed articles reported alternative conceptions about catalysts as presented in Table 6. In their instructional studies, Boz and colleagues (Taştan-Kırık and Boz, 2010, 2012; Yalçınkaya et al., 2012) reported numerous alternative conceptions, such as those that discussed how catalysts affect reaction rate by altering the kinetic energy of the molecules. Çakmakci and colleagues (Çakmakci, 2010; Çakmakci and Aydogdu, 2011) also reported findings related to this enduring understanding. For example, students' believed that catalysts do not affect or do not change the mechanisms of reaction.
A catalyst increases the rate of the reaction by providing a new reaction pathway with a lower activation energy. | |
The catalyst increases the average speed of the molecules (or increases the number of collisions) | Taştan-Kırık and Boz (2010, 2012) and Kurt and Ayas (2012) |
A catalyst increases the yield of products | Çakmakci (2010), Yalçınkaya et al. (2012) and Turányi and Tóth (2013) |
Catalyst increases reaction rate by decreasing the kinetic energy of the molecules | Yalçınkaya et al. (2012) |
Catalysts provide an alternative reaction pathway that lowers this activation energy. | |
A catalyst is needed to initiate reaction | Kıngır and Geban (2012) |
A catalyst does not affect or does not change the mechanisms of a reaction (confusion of catalyst and intermediate in some cases) | Çakmakci (2010), Çakmakci and Aydogdu (2011), Kurt and Ayas (2012), Taştan-Kırık and Boz (2012) and Yalçınkaya et al. (2012) |
A catalyst does not react with any of the reactants or products | Yalçınkaya et al. (2012) |
Because a catalyst lowers the activation energy, it affects both forward and reverse reactions. | |
A catalyst only speeds up the forward reaction (catalyst affects the rates of forward and reverse reactions differently) | Hackling and Garnett (1985), Voska and Heikkinen (2000), Akkuş et al. (2003), Bilgin and Geban (2006), Kıngır and Geban (2012) and Yalçınkaya et al. (2012) |
A catalyst increases activation energy of the reaction | Taştan-Kırık and Boz (2010) and Kaya and Geban (2012) |
These findings also appeared in Voska and Heikkinen's (2000) study that used a ten-item two-tier diagnostic instrument, the Test to Identify Student Conceptualizations (TISC), in order to identify student ideas when solving chemical equilibrium problems. Among these second-semester general chemistry students at an American university, eleven alternative conceptions were identified, one of which related to chemical kinetics. Students commonly believed that a catalyst would speed up only the forward reaction (and not the reverse), an idea reported in at six of the reviewed papers.
The first equilibrium enduring understanding is that “when opposing processes both occur at the same rate, the net change is zero” (Holme et al., 2015). Three alternative conceptions were classified in relation to this category and are listed in Table 7.
Dynamic processes that achieve equilibrium may be phase changes or chemical reactions. | |
Equilibrium is dynamic because rates of opposing process are the same, but the rate is not commonly zero. | |
Forward reaction rate always equals the reverse reaction rate | Hackling and Garnett (1985) and Akkuş et al. (2003) |
At the equilibrium the rates of forward and reverse reactions are zero | Bilgin and Geban (2006) and Taştan-Kırık and Boz (2010) |
When equilibrium is re-established the rates of the forward and reverse reactions will be equal to those at the initial equilibrium | Hackling and Garnett (1985), Akkuş et al. (2003) and Bilgin and Geban (2006) |
The equilibrium constant can be used in calculations that determine the amount of reactants or products present at equilibrium for a given initial state. | |
The equilibrium state is characterized by a constant, designated K, which provides quantitative information of the extent of a reaction and is related to the ratio of the concentrations of reactants and products. | |
At equilibrium the rate of the forward reaction will be faster or slower than the rate of the reverse reaction depending on the equilibrium constant value | Bilgin and Geban (2006) |
Geban and colleagues (Akkuş et al., 2003; Bilgin and Geban, 2006) conducted studies on Turkish students' chemical equilibrium conceptions. Akkuş et al. (2003) studied the effectiveness of a constructivist instructional approach in comparison with a traditional approach on students' understanding of chemical equilibrium concepts. Numerous alternative conceptions were identified and demonstrated that these students conflated chemical equilibrium and kinetics ideas including the relationship between the forward and reverse reaction rates.
Bilgin and Geban (2006) also conducted an instructional intervention study, comparing the effect of a cooperative learning approach on students' chemical equilibrium conceptions to a traditional approach. They utilized three measurement instruments in this study: the Chemical Equilibrium Concept Test (CECT), the Chemical Equilibrium Achievement Test (CEAT), and the Science Process Skills Test (SPST). Forty-five alternative conceptions were targeted by the CECT, many of which are conflated with chemical kinetics ideas. An example of one of these alternative conceptions is that at equilibrium the rates of forward and reverse reactions are zero.
The next equilibrium enduring understanding is that “for chemical and physical processes, the equilibrium state can be characterized via the equilibrium constant” (Holme et al., 2015). Only one alternative conception from Bilgin and Geban (2006) study aligns with this understanding. They found that students believe that when a system is at equilibrium, the rate of the forward reaction will be either faster or slower than the rate of the reverse reaction, depending upon the equilibrium constant value.
The next equilibrium enduring understanding used in classification is, “When the equilibrium constant is very large or small, products or reactants, respectively, are primarily present at equilibrium. Systems with K near 1 have significant amounts of both reactants and products present” (Holme et al., 2015). Studies with the primary aim to investigate student understanding of kinetics and thermodynamics (Sözbilir et al., 2010; Turányi and Tóth, 2013) or student understanding of equilibrium (Bilgin and Geban, 2006) reported misconceptions relating to this enduring understanding shown in Table 9, further reinforcing literature precedent that students conflate ideas from these domains.
Very large or very small values of the equilibrium constant, K, indicate reactions strongly favoring products (in the former case) or reactants (in the latter). | |
Reactions with very small values of K will have little formation of products, while reactions with very large values of K will proceed nearly completely to products. | |
At equilibrium the rate of the forward reaction will be faster or slower than the rate of the reverse reaction depending on the equilibrium constant value | Bilgin and Geban (2006) |
The larger the equilibrium constant, the faster a reaction occurs | Sözbilir et al. (2010) and Turányi and Tóth (2013) |
The smaller the equilibrium constant, the faster a reaction occurs | Sözbilir et al. (2010) |
Sözbilir et al. (2010) investigated university students in Turkey to reveal their difficulties in determining the differences between chemical kinetics and thermodynamics concepts. A five-question open-ended diagnostic test was used to test students' ability to differentiate the concepts in each area. A subset of these participants was also interviewed to provide more in-depth explanations, clarifying written responses and probing conceptual understandings. The results showed that students struggled with conflating equilibrium and kinetics ideas, reporting that the equilibrium constant related (either directly or inversely) to the rate of reaction. Turányi and Tóth (2013) reported similar findings from their recent study in Hungary where students related the equilibrium constant to reaction rate.
The final equilibrium enduring understanding used is that “if perturbed, a system at equilibrium will respond in the direction that tends to offset the perturbation” (Holme et al., 2015). Three studies decades apart exposed the same alternative conception, that increasing the amount of reactant would decrease the rate of the reverse reaction as shown in Table 10 (Hackling and Garnett, 1985; Akkuş et al., 2003; Bilgin and Geban, 2006).
The direction of change in a system that is perturbed from equilibrium is predictable—it will change so as to minimize the perturbation. | |
The ability to predict the direction a reaction will progress for a given perturbation is a key concept. | |
Reasoning based on perturbations of equilibrium can be used to determine conditions that maximize product formation in a reaction. | |
When the amount of reactant is increased, the rate of the reverse reaction is decreased | Hackling and Garnett (1985), Akkuş et al. (2003) and Bilgin and Geban (2006) |
While breaking a chemical bond is always endothermic, chemical energy can be released via reactions because bonds are both broken and formed in the course of the reaction. | |
The extent of energy release or absorption is dictated by the bonds broken in the reactants and the bonds formed in the products. | |
Activation energy is the (total) amount of energy released in a reaction | Çakmakci (2010) |
The second energy and thermodynamics enduring understanding conflated with kinetics is that “the tendency of nature to disperse, particularly in terms of energy distribution, is embodied in the state function called entropy” (Holme et al., 2015). Sözbilir et al. (2010) reported that students related the magnitude of Gibb's free energy for a reaction to the reaction rate as listed in Table 12. For example, the larger the negative free energy change a reaction has, the faster it occurs.
Gibb's free energy is a state function that simultaneously calculates entropy for the system and surroundings, and is useful for determining whether or not a process occurs spontaneously. | |
Gibbs free energy is defined in such a way that the calculation of it provides insight into whether a process is spontaneous with a single calculation. | |
The larger negative free energy change a reaction has, the faster it occurs | Sözbilir et al. (2010) |
Laboratory observation of reaction rates helps to establish the concept of reaction time scales empirically. | |
Rate laws and reaction order are determined using empirical rate data. | |
Reaction rate is the time required for reactants to form products(or simply reaction rate is reaction time) | Akkuş et al. (2003), Çakmakci (2010), Çalik et al. (2010), Taştan-Kırık and Boz (2010), Kolomuç and Tekin (2011) and Yalçınkaya et al. (2012) |
The other experiments, measurement, and data enduring understanding used in classifying the literature alternative conceptions is that “chemical measurements are based on mass, charge, temperature, pressure, volume, or interaction with electrons or photons” (Holme et al., 2015). Kousathana and Tsaparlis (2002) investigated secondary Greek students' errors in solving numerical chemical equilibrium problems. Student errors were categorized into five groups: equilibrium constant, stoichiometry, heterogeneous equilibria, disturbance of chemical equilibrium, and gas equilibria/ideal gas law. One of the main incorrect understandings observed was that students confused reaction yield and reaction rate ideas (Table 14). This same confusion was reported by Yalçınkaya et al. (2012).
Stoichiometry provides an example of mass measurements being used in the laboratory, particularly for percentage yield | |
Reaction yield and reaction rate concepts are the same concepts, directly relating to each other | Kousathana and Tsaparlis (2002) and Yalçınkaya et al. (2012) |
Control of chemical reactions is often not fully accomplished, so details such as limiting reactants and percentage yields are important in characterizing what occurs. | |
Stoichiometric calculations provide the theoretical yield, which can be used to determine percentage yield. | |
Reaction yield and reaction rate concepts are the same concepts, directly relating to each other | Kousathana and Tsaparlis (2002) and Yalçınkaya et al. (2012) |
Substances exist as a gas at room temperature when intermolecular forces are weak. Models for gas behavior can be quite general because these forces are small—the most common is the ideal gas model. | |
Gases have physical properties that are often independent of the identity of the gas; the conceptual understanding of the relationships between these properties is important. | |
Kinetic energy of molecules increases by decreasing volume | Taştan-Kırık and Boz (2012) and Yalçınkaya et al. (2012) |
Characterizing how rate changes during a reaction | |
Reaction rate increases as the reaction progresses | Hackling and Garnett (1985), Çakmakci et al. (2006), Çakmakci (2010), Bektaşli and Çakmakci (2011) and Kolomuç and Tekin (2011) |
Reaction rate decreases as the reaction progresses | Kolomuç and Tekin (2011) and Yalçınkaya et al. (2012) |
Reaction rate is constant (as long as no reaction parameters are altered) | Çakmakci et al. (2006), Bektaşli and Çakmakci (2011) and Kolomuç and Tekin (2011) |
Reaction rate increases up to a maximum value and remains constant at that value | Akkuş et al. (2003), Çakmakci et al. (2006), Bektaşli and Çakmakci (2011) and Kolomuç and Tekin (2011) |
Reaction rate decreases down to a minimum value and remains constant at the value | Kolomuç and Tekin (2011) |
Reaction rate increases up to a maximum value, remains constant, and eventual decreases gradually back to zero when the limiting reactant is consumed | Çakmakci et al. (2006), Aydin et al. (2009) and Taştan-Kırık and Boz (2010, 2012) |
Another group of alternative conceptions that did not fall under the general chemistry content map is about experimental factors that affect reaction rate (Table 18). Çakmakci et al. (2006) and Yalçınkaya et al. (2012) noted that students did not recognize volume or pressure as factors that may affect gaseous reaction rates. Another finding from these studies was that students believed that reactions in smaller containers were faster than those in larger containers, even if they were the same reaction conducted under the same conditions.
Experimental conditions and reaction rates | |
Reactions in smaller containers are faster than those in larger containers (same reaction and conditions, different container) | Çakmakci et al. (2006) and Yalçınkaya et al. (2012) |
Volume and pressure not recognized as factors affecting gaseous reaction rates | Çakmakci et al. (2006) and Yalçınkaya et al. (2012) |
When volume of reaction vessel is decreased, the rate of the reverse reaction is decreased | Hackling and Garnett (1985) and Bilgin and Geban (2006) |
Another common theme relates to graphical and visual representations. Students demonstrated difficulty interpreting graphical representations in the context of chemical kinetics problem solving situations (Çakmakci et al., 2006; Taştan et al., 2010; Çakmakci and Aydogdu, 2011; Kolomuç and Tekin, 2011). They also failed to grasp underlying scientific knowledge expressed through visual representation in similar settings (Çakmakci et al., 2006; Çakmakci and Aydogdu, 2011). Bektaşli and Çakmakci's (2011) data demonstrated that students' conceptions about rates are not consistent across contexts and domains; rather, their ideas' are dependent on the format and contextual features of the questions. For example, student achievement was higher when data were presented in a table instead of a graph. In a more recent study, Seçken and Seyhan (2015) investigated secondary Turkish students' academic achievement and anxiety in the context of graphical chemical reaction rate problems. Three measurement instruments were used: the Achievement Test of Reaction Rate (RRAT), the Graphical Test of Reaction Rate (RRGT), and the Anxiety Scale on the Use of Graphics (ASUG). Students obtained significantly higher mean scores on the RRAT compared to the RRGT. The students’ anxiety about problems with graphics was also found to be higher than those without, according to percentage and frequency data obtained through the ASUG. Student data also shows a statistically significant negative (but weak) Pearson correlation between RRGT achievement scores and their level of anxiety as shown by the ASUG.
A final theme that is pervasive throughout this body of literature is that students often conflate thermodynamics and kinetics concepts, such as the role of observed temperature changes or the effect of manipulating temperature conditions in chemical reactions (Çakmakci, 2010; Sözbilir et al., 2010; Çakmakci and Aydogdu, 2011; Turányi and Tóth, 2013). Additionally, students confuse chemical kinetics and equilibrium concepts, such as equating the size of the equilibrium constant to the speed of the reaction (Voska and Heikkinen, 2000; Kousathana and Tsaparlis, 2002; Van Driel, 2002; Çakmakci and Leach, 2005). As Çakmakci and Leach (2005) wrote, “Students' lack of understanding in thermodynamics and chemical equilibrium significantly influences their ideas about chemical kinetics.” Tables 2, 3 and 5–12 provide ample support from the chemical education research for this observation.
Instrument | Acronym | Format | Quality measure | Ref. |
---|---|---|---|---|
Reaction rate concept test | RRCT | Open-ended and multiple-choice questions | Cronbach α = 0.81; Kuder–Richardson Formula 20 (K–R 20) = 0.78; K–R 20 = 0.78; reliability coefficient = 0.78 | Çalik et al. (2010), Taştan-Kırık and Boz (2010, 2012) and Yalçınkaya et al. (2012) |
Reaction rate concept test | RRCT | Multiple-choice questions | None; Cronbach α = 0.71; Cronbach α = 0.75 (pre), Cronbach α = 0.81 (post) | Kaya and Geban (2012), Kıngır and Geban (2012) and Cetin (2014) |
Chemical reactions rate comprehension test | CRRCT | Open-ended questions | — |
Kolomuç and Tekin (2011)
*Modified version of the RRCT |
Chemical kinetics concepts achievement test | CKCAT | Open-ended questions | — |
Çakmakci and Leach (2005), Çakmakci et al. (2006), Bektaşli and Çakmakci (2011) and Çakmakci and Aydogdu (2011)
*Modified version of the RRCT |
Achievement test of reaction rate | RRAT | Multiple-choice questions | Cronbach α = 0.78 | Seçken and Seyhan (2015) |
Kinetics versus thermodynamics diagnostic test | — | Open-ended questions | — | Sözbilir et al. (2010) |
Chemical reaction rate questionnaire | — | Two-tier multiple-choice questions | K–R 20 = 0.85 | Supasorn and Promarak (2015) |
Kinetics and thermodynamics instrument | — | Open-ended questions | — | Turányi and Tóth (2013) |
Modified concept test | — | Open-ended and multiple-choice questions | — | Aydin et al. (2009) |
Kinetics diagnostic instrument | — | Open-ended questions | — | Çakmakci (2010) |
Test to identify student conceptualizations | TSIC | Two-tier multiple-choice questions | K–R 20 = 0.79 | Voska and Heikkinen (2000) |
Chemical equilibrium concept test | CECT | Multiple-choice questions | Cronbach α = 0.78; Cronbach α = 0.87 | Akkuş et al. (2003) and Bilgin and Geban (2006) |
Chemical equilibrium achievement test | CEAT | Multiple-choice questions | Cronbach α = 0.81 | Bilgin and Geban (2006) |
Chemistry concept test | CCT | Open-ended and multiple-choice questions | Cronbach α = 0.75 | Kıngır and Geban (2012) |
Graphical test on reaction rate | RRGT | Multiple-choice questions | Cronbach α = 0.697 | Seçken and Seyhan (2015) |
Anxiety scale on the use of graphics | ASUG | Five-point Likert scale | Cronbach α = 0.935 | Seçken and Seyhan (2015) |
Real-life relating test | RRT | Open-ended questions | — | Kurt and Ayas (2012) |
Science process skills test | SPST | Multiple-choice questions | Cronbach α = 0.82; Cronbach α = 0.85; Cronbach α = 0.85; Cronbach α = 0.85 | Akkuş et al. (2003), Bilgin and Geban (2006) and Taştan-Kırık and Boz (2010, 2012) |
Motivated strategies for learning questionnaire | MSLQ | Seven-point Likert scale | Cronbach α values calculated for each of 6 sections, ranging from 0.65 to 0.90 | Taştan-Kırık and Boz (2012) |
Three studies conducted with secondary students in Turkey used a conceptual change approach for teaching kinetics to determine if student understanding could be improved. In each case attention was placed on instruction in the experimental group, addressing students' alternative conceptions thus fostering the conditions for conceptual change (dissatisfaction, intelligibility, plausibility, and fruitfulness) through animations and guide sheets (Çalik et al., 2010), demonstrations (Kaya and Geban, 2012), or conceptual-change texts (Kıngır and Geban, 2012). In every case the conceptual change approach group significantly outperformed the traditional or control group, suggesting that these methods that can help students learn scientifically correct ways of conceptualizing kinetics. However, in all cases alternative conceptions were identified as listed in Tables 3–6.
Constructivist approaches to instruction using concept maps, videos/animations, hands-on activities, and small and large group discussions also produced improved learning in secondary and tertiary classrooms in Turkey, although alternative conceptions were still identified (see Tables 2, 3, 6, and 17) (Aydin et al., 2009; Kurt and Ayas, 2012).
Taştan-Kırık and Boz (2010, 2012) report the results of using a cooperative learning approach in two different secondary schools in Turkey on student understanding of reaction rates. Although the statistical handling of the data was different due to differences in scores on the Reaction Rate Concept Test (RRCT) and the Science Process Skill Test (SPST) at the two schools, the outcome was similar – the cooperative learning group performed at a statistically higher level than the traditional group. Interviews with the students were also part of this research design which allowed Taştan-Kırık and Boz to identify alternative conceptions listed in Tables 2–6, 16, and 17.
Three other approaches have also met with success in improving student understanding of kinetics. Çakmakci and Aydogdu (2011) designed and evaluated an evidence-informed instruction intervention, compared to a traditional instruction implementation, regarding chemical kinetics in a second semester general chemistry classroom at a university in Turkey. They developed a set of 10 tasks referred to as the Chemical Kinetics Concepts Achievement Test (CKCAT) based upon their prior work (Çakmakci et al., 2006; Çakmakci, 2010) in which the experimental group performed significantly better than the traditional group. Yalçınkaya et al. (2012) investigated case-based learning's effectiveness as a teaching strategy to challenge Turkish secondary students' alternative conceptions about chemical kinetics concepts. The case based group outperformed the traditional group on the RRCT. Although student interviews revealed many alternative conceptions as documented in Tables 1–3, 6, 7, and 13–18, the case-based group exhibited fewer of these conceptions than the traditional group. Cetin (2014) investigated argumentation instruction in a treatment versus control design in two-second semester general chemistry classrooms at a university in Turkey. Students in the argumentation classroom performed significantly better on the RRCT. Analysis of arguments constructed in both classrooms suggests that argumentation-based instruction can promoted greater conceptual understanding of reaction rate concepts while promoting scientific argumentation skills.
Finally, in the only study carried out in a country other than Turkey, Supasorn and Promarak (2015) studied the implementation of 5E inquiry and analogy instruction with the goal to enhance conceptual understanding of reaction rate for 44 secondary students in Thailand. The interventions utilized the 5E inquiry method, where students engage, explore, explain, elaborate, and evaluate concepts and understanding. Using a pre, post, and delayed-post test design to measure learning, the results demonstrated that instruction improved learning, and that for some areas of kinetics, that the enhanced conceptual understanding may be durable and lasting.
Indeed, for every intervention described in the literature, student understanding of concepts related to kinetics was improved. Turkish researchers have led the way in this area of research conducting 10 of 11 studies, and many of these in secondary classrooms. Further research in classrooms outside of Turkey is warranted to broaden the evidence for efficacy of these approaches. The evidence suggests that every type of intervention was effective in improving student understanding.
It should be noted that to use these instruments in other settings the reliability and validity of the data collected would need to be ascertained. Researchers from Turkey have led the way in the development of these instruments, but they have not been used with other populations. Use of these instruments in other contexts and reporting the accompanying reliability and validity data would improve the utility of these instruments in CER.
Research on related rates problems indicates that students must possess and use fundamental mathematical knowledge pertaining to function, variable, differentiation, and rate. Literature suggests that students do not fully understand these concepts. For example, students at both the secondary and tertiary levels demonstrate underdeveloped conceptions of function and variable (Orton, 1983; Vinner and Dreyfus, 1989; Breidenbach et al., 1992; White and Mitchelmore, 1996; Clark et al., 1997; Carlson, 1998; Carlson et al., 2002; Aydin, 2014). One such example of this is White and Mitchelmore's (1996) finding that students have a “manipulation focus” wherein they manipulate variables without considering the concepts or ideas that they represent, treating them “as symbols to be manipulated rather than quantities to be related” (White and Mitchelmore, 1996). The literature also shows that even strong undergraduate mathematics students and beginning graduate students (those that earned A's) demonstrate alternative ideas about the function concept (Carlson, 1998). Students also struggle with the concept of the derivative (Orton, 1983; Ferrini-Mundy and Graham, 1991; Clark et al., 1997; Firouzian, 2013; Piccolo and Code, 2013; Hashemi et al., 2014; Rasmussen et al., 2014). Many students are able to follow derivative rules procedurally, without understanding the conceptual ideas behind it (Clark et al., 1997; Piccolo and Code, 2013). Engelke (2006) is also one of many studies to show that students demonstrate difficulty defining rate, let alone understanding how it changes over time.
RUME studies have also shown that students frequently fail to consider variable relationships and engage in fruitful reasoning patterns, unlike experts (Martin, 2000; Engelke, 2004; 2006; 2007; 2008; Engelke and CadwalladerOlsker, 2011). Similarly, these studies also reveal alignment with DBER in that students struggle more with conceptual steps when compared to procedural steps (Bodner and Herron, 2003; Carlson and Bloom, 2005; Gardner and Bodner, 2007; Hull et al., 2013; Kuo et al., 2013). These findings draw attention to research questions in chemical kinetics where students must consider mathematical relationships as they reason through problems. Accordingly, we call on faculty to promote the idea that equations hold meaning to understand relationships and concepts, rather than the idea that they are computational tools to obtain an answer. Focusing student attention of variables and relationships would serve to enhance conceptual understanding in kinetics, as well as other areas of chemistry. Although some of the findings from mathematics research may not have relevance in general chemistry, such as student difficulty with differentiation, these findings do have direct relevance for upper-level chemistry students and courses, as these courses frequently require and use calculus.
Students' modeling tendencies emerged as a theme in Çakmakci's research (Çakmakci and Leach, 2005; Çakmakci et al., 2006; Çakmakci and Aydogdu, 2011). Macroscopic modeling was typically used by students when solving chemical kinetics problems, rather than theoretical or particulate modeling.
The literature also suggests that students have difficulty interpreting and understanding graphical representations (Çakmakci et al., 2006; Taştan et al., 2010; Çakmakci and Aydogdu, 2011; Kolomuç and Tekin, 2011). These findings are not surprising in light of multiple external representations (MERs) research, which highlights difficulties that students' have understanding individual graphical representations as well as making connections between different representations (e.g., Ainsworth, 1999, 2006; Ainsworth and VanLabeke, 2004).
Students also conflate ideas, such as thermodynamics with kinetics or equilibrium with kinetics (Voska and Heikkinen, 2000; Kousathana and Tsaparlis, 2002; Van Driel, 2002; Çakmakci and Leach, 2005; Çakmakci, 2010; Sözbilir et al., 2010; Çakmakci and Aydogdu, 2011; Turányi and Tóth, 2013). This is not a surprising finding, as these confusions have emerged repeatedly in the CER literature (Hackling and Garnett, 1985; Cachapuz and Maskill, 1987; Banerjee, 1991; Quílez-Pardo and Solaz-Portolés, 1995; Johnstone et al., 1997; Thomas and Schwenz, 1998; Sözbilir and Bennett, 2006). Research specifically targeting students' understanding at these conceptual domain interfaces is a rarity; rather, research in individual conceptual domains (like those cited here) re-discovers student conflation/confusion. Explicit instruction targeting the interfaces of these conceptual bodies should be developed and implemented in order to study how students understand these conceptual domains. This is not unprecedented because what experts tacitly understand often needs to be made more explicit for novices (National Research Council, 2012).
Research in undergraduate mathematics education has demonstrated that solving related rates problems is not a trivial task for students (Martin, 2000; Engelke, 2004, 2006, 2007, 2008; Engelke and CadwalladerOlsker, 2011; Piccolo and Code, 2013). It's been shown that sometimes students struggle with more basic mathematical concepts that lay the foundation for understanding and solving related rates problems (Orton, 1983; Vinner and Dreyfus, 1989; Ferrini-Mundy and Graham, 1991; Breidenbach et al., 1992; White and Mitchelmore, 1996; Clark et al., 1997; Carlson, 1998; Carlson et al., 2002; Firouzian, 2013; Aydin, 2014; Hashemi et al., 2014; Rasmussen et al., 2014). Since it is clear that some of these fundamental conceptual ideas can be obstacles for students when solving related rates problems, we suggest that assessing student mathematical abilities and understandings may be advantageous for instructors. The Precalculus Concept Assessment (PCA) is a multiple-choice instrument that targets foundational ideas needed for calculus, such as rate of change and function. (Carlson et al., 2010). Using a tool such as this to assess students' prior mathematical knowledge could be helpful for chemistry instructors in that it could specifically reveal gaps in students' mathematical knowledge that chemistry professors assume students not only understand, but can apply.
Table 20 shows that an overwhelming amount of the reviewed work took place in Turkey. Moreover, studies conducted outside Turkey typically did not have a primary focus on kinetics, focusing more on equilibrium or thermodynamics. More research is needed in other countries to discover if similar findings emerge with students in other educational contexts.
Turkey | The Netherlands | Greece | Hungary | Thailand | Australia | United States | |||
---|---|---|---|---|---|---|---|---|---|
Number of studies | Student understanding studies | Rate | 7 | — | — | — | — | — | — |
Equilibrium | 2 | 1 | 1 | — | — | 1 | 1 | ||
Thermodynamics | 1 | — | — | 1 | — | — | — | ||
Instructional approaches studies | Conceptual change | 3 | — | — | — | — | — | — | |
Constructivist | 2 | — | — | — | — | — | — | ||
Cooperative learning | 2 | — | — | — | — | — | — | ||
Other | 3 | — | — | — | 1 | — | — |
Chemical kinetics is an area of chemistry where mathematics is frequently used as the language of chemistry, requiring students to translate between mathematical representations and the physical meaning that they represent (Becker and Towns, 2012). The paucity of research in this area is especially troubling, as it has been noted that students have difficulty with the mathematics in physical chemistry, of which chemical kinetics is a subset (Thompson et al., 2006; Bucy et al., 2007; Pollock et al., 2007; Christensen and Thompson, 2010, 2012; Hadfield and Wieman, 2010; Wemyss et al., 2011; Becker and Towns, 2012). It has also been documented that mathematical understanding and proficiency are connected to student success in physical chemistry (Nicoll and Francisco, 2001; Derrick and Derrick, 2002; Hahn and Polik, 2004). Yet, few studies in CER examine students' understanding of mathematics in the context of chemistry (Bain et al., 2014).
Furthermore, findings from the reviewed literature indicates that interpreting and understanding graphical representations is difficult for students (Engelke, 2004; Çakmakci et al., 2006; Taştan et al., 2010; Çakmakci and Aydogdu, 2011; Kolomuç and Tekin, 2011). More research is needed investigating students' understanding of MERs, using chemical kinetics as the context. Kinetics is an area of chemistry that uses many various representations, such as graphs and tables. Better understanding students' difficulties with individual representations, as well as their perceptual fluency translating across representations, would provide insight. Using other perspectives, such as Ainsworth's (2006) DeFT framework or Rau's (2015) findings would be a fruitful starting point.
Chemical kinetics is a unique area of chemistry in that it provides an explicit context for students to interact with models and modeling. This aspect has yet to be studied in any capacity, as all the reviewed studies focused on students' conceptual reasoning. How students reason through kinetics concepts and problems has not been examined whatsoever. For example, studying students' use of chemistry reasoning and mathematical reasoning when solving kinetics problems would be a novel way to drive forward research in this area. Similarly, another innovative exploration could examine students' understanding of models and modeling in a laboratory context, collecting and using kinetics data. The design, development, and evaluation of mathematical modeling assessments could also be highly useful for both research and practice.
The reviewed kinetics articles provide a strong starting point (Tables 2–18) for both researchers and practitioners in developing instructional opportunities, such as clicker questions, peer-led team learning (PLTL) sessions, process oriented guided inquiry learning (POGIL) lessons, computer simulations, or laboratory activities. While many of the findings have origins in secondary contexts, they inform instruction at the tertiary level, where kinetics is taught both at introductory and upper levels. The message from the instructional literature is clear – every approach implemented was superior to a traditional classroom approach. Dissemination of effective approaches across educational contexts particularly moving from Turkey to other countries is important.
Studying the faculty that teach kinetics could also be a fruitful avenue for instructional research as well. This area of study is virtually untouched in CER (Fox and Roehrig, 2015; Mack and Towns, 2016). Doing so could provide insight into teacher thinking about the purposes for teaching kinetics ideas or their roles as an instructor for scaffolding students' reasoning about chemical kinetics at various levels and contexts. Investigating instructor teaching practices and facilitation would also be highly fruitful in light of recent research (Becker et al., 2015). For example, this could generate models for scaffolding student reasoning about chemical kinetics and mathematical concepts.
Following the state of the art for measurement in quantitative research methodology is of utmost importance (Arjoon et al., 2013). In the same way, following rigorous methodology in qualitative or mixed methods research is also imperative (Tracy, 2010). This includes the use of a theoretical framework, strong experimental design, methods appropriate to answer the research question(s), some measure of credibility, and appropriate and thorough analysis. Such studies will fill the gaps in the literature, influencing both research and practice for years to come.
Finally, it is clear that we have a nearly exhaustive description of alternative conceptions related to chemical kinetics. What is sorely needed is research that establishes which educational approaches are effective across contexts and how differences in student learning can be measured and monitored leveraging the instruments that have been developed (see Table 19).
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