Resolving the complexity of organic chemistry students' reasoning through the lens of a mechanistic framework

2018 ◽  
Vol 19 (4) ◽  
pp. 1117-1141 ◽  
Author(s):  
I. Caspari ◽  
D. Kranz ◽  
N. Graulich

Research in organic chemistry education has revealed that students often rely on rote memorization when learning mechanisms. Not much is known about student productive resources for causal reasoning. To investigate incipient stages of student causal reasoning about single mechanistic steps of organic reactions, we developed a theoretical framework for this type of mechanistic reasoning. Inspired by mechanistic approaches from philosophy of science, primarily philosophy of organic chemistry, the framework divides reasoning about mechanisms into structural and energetic accounts as well as static and dynamic approaches to change. In qualitative interviews, undergraduate organic chemistry students were asked to think aloud about the relative activation energies of contrasting cases,i.e.two different reactants undergoing a leaving group departure step. The analysis of students’ reasoning demonstrated the applicability of the framework and expanded the framework by different levels of complexity of relations that students constructed between differences of the molecules and changes that occur in a leaving group departure. We further analyzed how students’ certainty about the relevance of their reasoning for a claim about activation energy corresponded to their static and dynamic approaches to change and how students’ success corresponded to the complexity of relations that they constructed. Our findings support the necessity for clear communication of and stronger emphasis on the fundamental basis of elementary steps in organic chemistry. Implications for teaching the structure of mechanistic reasoning in organic chemistry and for the design of mechanism tasks are discussed.

2019 ◽  
Vol 20 (3) ◽  
pp. 522-541 ◽  
Author(s):  
Megan C. Connor ◽  
Solaire A. Finkenstaedt-Quinn ◽  
Ginger V. Shultz

Promoting students’ ability to engage in discipline-specific practices is a central goal of chemistry education. Yet if instruction is to meaningfully foster such ability, we must first understand students’ reasoning during these practices. By characterizing constraints on chemistry students’ reasoning, we can design instruction that targets this constrained reasoning and ultimately promotes more sophisticated ways of thinking. For this study, we investigated reasoning used by 18 organic chemistry students at a large university in the United States as they evaluated the success of chemical syntheses through IR and 1H NMR spectral interpretation, a common task of practicing chemists. Students completed a series of interpretation tasks while having their eye movements tracked and then participated in semi-structured, cued retrospective think-aloud (RTA) interviews about their reasoning during spectral interpretation. RTA interviews were analyzed qualitatively to characterize invalid chemical assumptions and heuristic reasoning strategies used by participants, both of which science education literature identifies as fundamental constraints to learning. The most problematic assumptions and heuristics, i.e., those used more frequently by unsuccessful participants, were then identified through statistical analysis. Findings suggest that the most problematic constraints on students’ reasoning during spectral interpretation constitute a combination of particular invalid chemical assumptions and heuristic reasoning strategies.


2015 ◽  
Vol 16 (4) ◽  
pp. 797-810 ◽  
Author(s):  
Mary E. Anzovino ◽  
Stacey Lowery Bretz

Organic chemistry students struggle with reaction mechanisms and the electron-pushing formalism (EPF) used by practicing organic chemists. Faculty have identified an understanding of nucleophiles and electrophiles as one conceptual prerequisite to mastery of the EPF, but little is known about organic chemistry students' knowledge of nucleophiles and electrophiles. This research explored the ideas held by second-semester organic chemistry students about nucleophiles and electrophiles, finding that these students prioritize structure over function, relying primarily on charges to define and identify such species, both in general and in the context of specific chemical reactions. Contrary to faculty who view knowledge of nucleophiles and electrophiles as prerequisite to learning mechanisms and EPF, students demonstrated that they needed to know the mechanism of a reaction before they were able to assess whether the reaction involved nucleophiles and electrophiles or not.


2016 ◽  
Vol 17 (2) ◽  
pp. 394-406 ◽  
Author(s):  
M. L. Weinrich ◽  
V. Talanquer

The central goal of this study was to analyze the complexity of students' explanations about how and why chemical reactions happen in terms of the types of causal connections students built between expressed concepts and ideas. We were particularly interested in characterizing differences in the types of reasoning applied by students with different levels of training in the chemistry, from college to graduate school. Using a qualitative research approach, we identified diverse modes of reasoning expressed by students when engaged in the analysis of different sets of chemical reactions selected to produce a targeted compound. Main findings indicate that dominant modes of reasoning varied with educational level and the nature of the task. Although participants applied diverse modes of reasoning, linear causal reasoning was prevalent across educational levels and types of tasks. Many students tended to generate explanations based on the identification of a single agent that caused a sequential chain of events. Advanced undergraduate students in our sample generated the most complex explanations. The results of our study have important implications for the development of causal mechanistic reasoning in chemistry.


2018 ◽  
Vol 19 (1) ◽  
pp. 42-59 ◽  
Author(s):  
I. Caspari ◽  
M. L. Weinrich ◽  
H. Sevian ◽  
N. Graulich

If an organic chemistry student explains that she represents a mechanistic step because “it's a productive part of the mechanism,” what meaning could the professor teaching the class attribute to this statement, what is actually communicated, and what does it mean for the student? The professor might think that the explanation is based on knowledge of equilibria of alternative steps. The professor might also assume that the student implies information about how one of the alternatives influences the energetics of subsequent steps or how subsequent steps influence the equilibria of the alternatives. Meanwhile, the student might literally mean that the step is represented simply because it leads to the product. Reasoning about energetic influences has much greater explanatory power than teleological reasoning taking the consequence of mechanistic steps as the reason for their prediction. In both cases, however, the same backward-oriented reasoning is applied. Information about subsequent parts in the mechanism is used to make a decision about prior parts. To qualitatively compare the reasoning patterns and the causality employed by students and expected by their professor, we used a mechanistic approach from philosophy of science that mirrors the directionality of a mechanism and its components: activities, entities, and their properties. Our analysis led to the identification of different reasoning patterns involving backward-oriented reasoning. Participants' use of properties gave additional insight into the students' reasoning and their professor's expectations, which supports the necessity for clear expectations in mechanistic reasoning in organic chemistry classrooms. We present a framework that offers a lens to clarify these expectations and discuss implications of the framework for improving student mechanistic reasoning in organic chemistry.


2015 ◽  
Vol 14 (3) ◽  
pp. 391-400 ◽  
Author(s):  
Namudar İzzet Kurbanoğlu ◽  
Ahmet Akın

University students’ achievements in organic chemistry depend on cognitive variables. In addition, non-cognitive variables such as anxiety levels also have an impact on students’ organic chemistry achievements. The aim of this study was to develop a measurement tool assessing the anxiety levels of university students in organic chemistry lessons. In this study, the Organic Chemistry Anxiety Scale (O-CAS) consisting of 24 items was developed, its validity and reliability was analysed. All the items are positively worded to indicate increased anxiety. Factor analytic evidence from a sample (n=340) of university organic chemistry students indicated that the O-CAS measured three constructs. Additional analysis with a second sample (n=297) showed that scores on these anxiety constructs were internally consistent, with Cronbach’s alphas ranging from 0.87 to 0.92 and were 0.95 for the overall scale. Further, the result of analysis of the third sample (n=195) indicated that there was a statistically significant relationship between organic chemistry anxiety and organic chemistry achievement of students. According to these results, the O-CAS can be used as a valid and reliable instrument in chemistry education. Key words: anxiety, chemistry education, organic chemistry, reliability, and validity.


2018 ◽  
Vol 19 (2) ◽  
pp. 543-557 ◽  
Author(s):  
Lisa Shah ◽  
Christian A. Rodriguez ◽  
Monica Bartoli ◽  
Gregory T. Rushton

Instructional strategies that support meaningful student learning of complex chemical topics are an important aspect of improving chemistry education. Adequately assessing the success of these approaches can be supported with the use of aligned instruments with established psychometrics. Here, we report the implementation and assessment of one such curriculum,Chemical Thinking, on first-year general chemistry students' conceptions of relative acidity using the recently-developed concept inventory,ACIDI. Our results reveal that, overall, students performed significantly better onACIDIfollowing instruction, with scores consistent with those previously reported for students who had completed one semester of organic chemistry. Students performed equally well on a delayed post-test administered ten weeks after final instruction, which suggests that instruction promoted a stable conceptual reprioritisation. Item analysis ofACIDIrevealed that students generally made conceptual gains on items where inductive effects were the primary determinants of conjugate base stability and relative acidity. However, students overwhelmingly struggled on items where resonance was the primary determinant. Analysis of student–student arguments in active learning settings provided evidence for how the quality of student arguments impacted their conceptions. Overall, these findings suggest that students were able to avoid several superficial misconceptions cited in the literature about relative acidity, and that this topic, traditionally taught exclusively in organic chemistry, may be introduced earlier in the sequence of curricular topics. Implications for future studies on the role of argumentational aspects of student–student conversations and facilitation strategies in promoting or hindering meaningful learning are discussed.


2020 ◽  
Vol 21 (1) ◽  
pp. 469-482 ◽  
Author(s):  
Liz Keiner ◽  
Nicole Graulich

Chemists refer to chemical phenomena on different representational levels—macroscopic, symbolic, and submicroscopic—which are directly related and connected to each other. Especially in the laboratory, students have to reason about various mechanistic features at the submicroscopic level and connect them in a meaningful way to make sense of the observable. There is plenty of evidence in chemistry education that students have difficulty connecting the different representational levels when thinking about chemical phenomena. However, current literature provides limited information about the mechanistic features that students activate when reasoning about phenomena and how they transition between the representational levels when in an organic chemistry laboratory. In this study, we performed in-depth analysis of how organic chemistry student teachers (N = 9) explained typical work-up procedures and characterized their activated mechanistic features and transitions between the different representational levels. Our analysis revealed that the students do not activate all features of a mechanism in the same way and construct various explanatory approaches. The findings emphasize the need to explicitly communicate how to connect the macroscopic and submicroscopic levels in a meaningful way in the laboratory. The implications of these findings for research, teaching, and learning to foster meaningful activation of mechanistic features are discussed.


Author(s):  
Julia Eckhard ◽  
Marc Rodemer ◽  
Axel Langner ◽  
Sascha Bernholt ◽  
Nicole Graulich

Research in Organic Chemistry education has revealed students’ challenges in mechanistic reasoning. When solving mechanistic tasks, students tend to focus on explicit surface features, apply fragmented conceptual knowledge, rely on rote-memorization and, hence, often struggle to build well-grounded causal explanations. When taking a resource perspective as a lens, students’ difficulties may arise from either an unproductive or a missing activation of cognitive resources. Instructors’ explanations and their guidance in teaching situations could serve as a lynchpin to activate these resources. Compared to students’ challenges in building mechanistic explanations in Organic Chemistry, little is known about instructors’ explanations when solving mechanistic tasks and how they shape their targeted explanations for students in terms of the construction and embedding of cause–effect rationales. This qualitative study aims to contribute to the growing research on mechanistic reasoning by exploring instructors’ explanatory approaches. Therefore, we made use of the framing construct, intended to trigger certain frames with explicit instruction. Ten Organic Chemistry instructors (university professors and lecturers) were asked to solve case comparison tasks while being prompted in two scenarios: an expert frame and a teaching frame. Our analysis shows that there is a shift from instructors’ mechanistic explanations in the expert frame towards more elaborated explanations in the teaching frame. In the teaching frame, contrary to what might be expected, complete cause–effect relationships were not always established and instructors differed in how they shaped their explanations. Additional explanatory elements were identified in both frames and their shift in use is discussed. Comparing approaches between frames sheds light on how instructors communicate mechanistic explanations and allows us to derive implications for teaching Organic Chemistry.


2020 ◽  
Vol 20 (9) ◽  
pp. 720-730
Author(s):  
Iker Montes-Bageneta ◽  
Urtzi Akesolo ◽  
Sara López ◽  
Maria Merino ◽  
Eneritz Anakabe ◽  
...  

Aims: Computational modelling may help us to detect the more important factors governing this process in order to optimize it. Background: The generation of hazardous organic waste in teaching and research laboratories poses a big problem that universities have to manage. Methods: In this work, we report on the experimental measurement of waste generation on the chemical education laboratories within our department. We measured the waste generated in the teaching laboratories of the Organic Chemistry Department II (UPV/EHU), in the second semester of the 2017/2018 academic year. Likewise, to know the anthropogenic and social factors related to the generation of waste, a questionnaire has been utilized. We focused on all students of Experimentation in Organic Chemistry (EOC) and Organic Chemistry II (OC2) subjects. It helped us to know their prior knowledge about waste, awareness of the problem of separate organic waste and the correct use of the containers. These results, together with the volumetric data, have been analyzed with statistical analysis software. We obtained two Perturbation-Theory Machine Learning (PTML) models including chemical, operational, and academic factors. The dataset analyzed included 6050 cases of laboratory practices vs. practices of reference. Results: These models predict the values of acetone waste with R2 = 0.88 and non-halogenated waste with R2 = 0.91. Conclusion: This work opens a new gate to the implementation of more sustainable techniques and a circular economy with the aim of improving the quality of university education processes.


Sign in / Sign up

Export Citation Format

Share Document