28.04.2015 Views

Mathematics in physics: analysis of students' difficulties - ESERA

Mathematics in physics: analysis of students' difficulties - ESERA

Mathematics in physics: analysis of students' difficulties - ESERA

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

<strong>Mathematics</strong> <strong>in</strong> Physics: Analysis <strong>of</strong> <strong>students'</strong> <strong>difficulties</strong><br />

Olaf Uhden¹ and Gesche Pospiech¹<br />

¹Chair <strong>of</strong> Didactics <strong>of</strong> Physics, Technische Universität Dresden<br />

Abstract: The deep <strong>in</strong>terrelation between <strong>physics</strong> and mathematics is an important fact to<br />

understand the success <strong>of</strong> physical science. Therefore it also <strong>in</strong>fluences classroom teach<strong>in</strong>g<br />

which leads to additional problems due to mathematical <strong>difficulties</strong> and knowledge transfer.<br />

The teach<strong>in</strong>g and learn<strong>in</strong>g <strong>of</strong> physical concepts seems to be h<strong>in</strong>dered or even neglected. But<br />

could not mathematics be used supportively for a physical understand<strong>in</strong>g? In order to<br />

approach this question it is important to carefully analyse the <strong>difficulties</strong> students experience<br />

while deal<strong>in</strong>g with mathematics <strong>in</strong> a physical context. With this aim we observed 15 to 16-<br />

year old students from different schools <strong>of</strong> higher education. They worked at an <strong>in</strong>teractive<br />

whiteboard on special physical-mathematical tasks which were designed <strong>in</strong> order to address<br />

the translation process between math and <strong>physics</strong>. F<strong>in</strong>d<strong>in</strong>gs suggest that students focus on a<br />

technical use <strong>of</strong> mathematics. Especially understand<strong>in</strong>g the connection between formulas and<br />

physical mean<strong>in</strong>g seems to be problematic for most students. Therefore the conceptual<br />

mean<strong>in</strong>g <strong>of</strong> mathematical descriptions <strong>in</strong> <strong>physics</strong> should be stressed <strong>in</strong> classroom teach<strong>in</strong>g.<br />

Keywords: <strong>Mathematics</strong> <strong>in</strong> Physics; Mathematization; Technical and structural skills;<br />

Mathematical Model<strong>in</strong>g; Knowledge Transfer<br />

INTRODUCTION<br />

“Our previous experience justifies the belief that nature is the realization <strong>of</strong> the<br />

most basic mathematical thoughts. […] Experience rema<strong>in</strong>s certa<strong>in</strong>ly the sole<br />

criterion <strong>of</strong> usefulness <strong>of</strong> a mathematical structure for <strong>physics</strong>. But the truly<br />

creative pr<strong>in</strong>ciple is <strong>in</strong> mathematics.” (E<strong>in</strong>ste<strong>in</strong>, 1956, p. 116, our translation)<br />

The quotation by E<strong>in</strong>ste<strong>in</strong> sheds light on the deep <strong>in</strong>terrelation between mathematics and<br />

<strong>physics</strong>. It is not the technical toolbox mathematics provides but rather the creative aspect<br />

produc<strong>in</strong>g new <strong>in</strong>sights <strong>in</strong>to physical structures that h<strong>in</strong>ts at a deep conceptual relation<br />

between both sciences. Under the perspective <strong>of</strong> discussions about the importance <strong>of</strong> “Nature<br />

<strong>of</strong> Science” for science teach<strong>in</strong>g (Lederman, 1992), the conceptual entanglement between<br />

mathematics and <strong>physics</strong> should also have consequences for the teach<strong>in</strong>g and learn<strong>in</strong>g <strong>of</strong><br />

<strong>physics</strong>. The way theoretical physicists use mathematics, i.e. for model<strong>in</strong>g and <strong>in</strong>vestigat<strong>in</strong>g<br />

physical behavior, is also an important aspect <strong>of</strong> the nature <strong>of</strong> <strong>physics</strong>.<br />

The importance <strong>of</strong> tak<strong>in</strong>g care <strong>of</strong> mathematical problems <strong>in</strong> <strong>physics</strong> education is also<br />

supported by research f<strong>in</strong>d<strong>in</strong>gs related to knowledge transfer. Generally it can be stated that<br />

transfer does not succeed to the desired extent, s<strong>in</strong>ce knowledge and understand<strong>in</strong>g is<br />

acquired context-specific (Brown, 1989). That implies that also the transfer <strong>of</strong> mathematical<br />

knowledge <strong>in</strong>to <strong>physics</strong> doma<strong>in</strong> can not be expected to happen automatically. On the contrary,<br />

it can be suspected that transfer form mathematics to <strong>physics</strong> is an especially difficult case as<br />

there are large differences <strong>in</strong> the use <strong>of</strong> and approach to mathematics by physicists. The use <strong>of</strong><br />

mathematical language <strong>in</strong> <strong>physics</strong> differs <strong>in</strong> many ways from its use <strong>in</strong> mathematics (Redish,<br />

2005).<br />

On the other hand, the problems and <strong>difficulties</strong> aris<strong>in</strong>g with the use <strong>of</strong> mathematics with<strong>in</strong><br />

<strong>physics</strong> education must not be ignored. The objection that the application <strong>of</strong> formulas and<br />

calculations would h<strong>in</strong>der an understand<strong>in</strong>g <strong>of</strong> physical concepts, lead to rout<strong>in</strong>e and<br />

“senseless” comput<strong>in</strong>g activities and br<strong>in</strong>gs additional mathematical <strong>difficulties</strong> with it, has to


e taken seriously. However, one can assume that these problems stem <strong>in</strong> large part on the<br />

way <strong>in</strong> which mathematics is <strong>in</strong>volved <strong>in</strong> <strong>physics</strong> teach<strong>in</strong>g. Already Richard Skemp, a pioneer<br />

<strong>in</strong> mathematics education research, po<strong>in</strong>ted out the difference between <strong>in</strong>strumental and<br />

relational understand<strong>in</strong>g (Skemp, 1976). By focus<strong>in</strong>g on <strong>in</strong>strumental skills like rote<br />

manipulations and learn<strong>in</strong>g rules, it is not possible to achieve a deep (relational)<br />

understand<strong>in</strong>g <strong>of</strong> mathematical concepts. But especially for knowledge transfer a relational<br />

understand<strong>in</strong>g is <strong>in</strong>dispensable. Therefore, it is particularly important <strong>in</strong> <strong>physics</strong> classes to<br />

stress this k<strong>in</strong>d <strong>of</strong> understand<strong>in</strong>g <strong>of</strong> the relationship between physical behavior and<br />

mathematics.<br />

THEORETICAL FRAMEWORK<br />

A deep <strong>analysis</strong> <strong>of</strong> the role <strong>of</strong> mathematics <strong>in</strong> <strong>physics</strong> leads to the dist<strong>in</strong>ction <strong>in</strong>to a technical<br />

and a structural role. Whereas the technical role describes the tool-like use <strong>of</strong> mathematics<br />

(e.g. calculat<strong>in</strong>g numbers), the structural role represents the close connection between <strong>physics</strong><br />

and mathematics and their structural entanglement (e.g. the possibility to predict new <strong>physics</strong><br />

from mathematical equations). In classroom situations the technical skills seem to be<br />

dom<strong>in</strong>ant, although the structural skills – e.g. mathematiz<strong>in</strong>g and <strong>in</strong>terpret<strong>in</strong>g – allow a<br />

mean<strong>in</strong>gful use <strong>of</strong> mathematics. Moreover, a focus on the structural role <strong>of</strong> mathematics<br />

would be more <strong>in</strong> l<strong>in</strong>e with the nature <strong>of</strong> <strong>physics</strong> than the current <strong>in</strong>strumental use <strong>of</strong><br />

mathematics (for a deep <strong>in</strong>vestigation <strong>of</strong> this issue and the derivation <strong>of</strong> a correspond<strong>in</strong>g<br />

didactical model, see Uhden, Karam, Pietrocola & Pospiech, 2011).<br />

A shift <strong>in</strong> the teach<strong>in</strong>g practice towards the structural skills, and thereby towards the<br />

translation between <strong>physics</strong> and mathematics, requires the consideration <strong>of</strong> relevant didactic<br />

concepts. With the translation to and from mathematics the so called “Grundvorstellungen”<br />

(vom H<strong>of</strong>e, 1992) – a theoretical concept used <strong>in</strong> mathematics education research to describe<br />

the translation between ideas or mean<strong>in</strong>g and mathematical operations – emerge as they<br />

mediate between the mathematical and physical world. The term “Grundvorstellungen” might<br />

be best translated as “basic ideas” or “mental models”. It refers to mathematical objects (i.e.<br />

mathematical operations, symbols etc.) and the ideas and conceptions connected to them. For<br />

example, a basic idea <strong>of</strong> “addition” can be understood as a sum <strong>of</strong> contributions, i.e. the<br />

operation <strong>of</strong> add<strong>in</strong>g two amounts to get the whole amount as a result. On the other hand, one<br />

can th<strong>in</strong>k <strong>of</strong> “addition” as chang<strong>in</strong>g an <strong>in</strong>itial state to a f<strong>in</strong>al state – as it is the case for<br />

describ<strong>in</strong>g changes <strong>in</strong> temperature. Obviously there is not only one correct basic idea <strong>of</strong> a<br />

mathematical operation. Rather it is important to activate the basic idea correspond<strong>in</strong>g to the<br />

specific problem one deals with. Therefore one needs to have more than one basic idea<br />

available for activation. Enabl<strong>in</strong>g a flexible use requires experience and knowledge based on<br />

comprehension or, <strong>in</strong> other words, a relational understand<strong>in</strong>g.<br />

In the physical context these “Grundvorstellungen” have to be connected to an understand<strong>in</strong>g<br />

<strong>of</strong> the physical concepts and be activated <strong>in</strong> accordance to the physical situation. Sher<strong>in</strong><br />

(2001) <strong>in</strong>vestigated the mean<strong>in</strong>gs college students assign to formulas and classified them as so<br />

called “symbolic forms”. A symbolic form is an entity <strong>in</strong> a formula which is associated with a<br />

correspond<strong>in</strong>g physical behavior, e.g. a fraction stroke with a variable <strong>in</strong> the denom<strong>in</strong>ator<br />

means that the result<strong>in</strong>g behavior is <strong>in</strong>versely proportional to this variable. But as it is the case<br />

with the “Grundvorstellungen”, there also exist more symbolic forms for one formal structure.<br />

Sher<strong>in</strong> claims for ongo<strong>in</strong>g research <strong>in</strong> the same direction with students at a younger age (i.e.<br />

high school and secondary school) and for teach<strong>in</strong>g strategies which strengthen the use <strong>of</strong><br />

symbolic forms. Also an <strong>in</strong>-depth <strong>analysis</strong> <strong>of</strong> its <strong>in</strong>terplay with <strong>students'</strong> strategies and<br />

<strong>difficulties</strong> is still ow<strong>in</strong>g.


RESEARCH DESIGN<br />

The del<strong>in</strong>eated argumentation leads to the ma<strong>in</strong> research question which needs to be answered<br />

by a qualitative study: What k<strong>in</strong>d <strong>of</strong> <strong>difficulties</strong> do students have with mathematical reason<strong>in</strong>g<br />

<strong>in</strong> <strong>physics</strong>?<br />

For animat<strong>in</strong>g the students to use structural skills and for <strong>in</strong>vestigat<strong>in</strong>g the result<strong>in</strong>g<br />

<strong>difficulties</strong> students experience thereby, we developed special mathematical <strong>physics</strong> tasks <strong>in</strong><br />

order to address different aspects <strong>of</strong> translat<strong>in</strong>g between <strong>physics</strong> and mathematics. By<br />

work<strong>in</strong>g with these tasks the students are challenged to actively carry out the translation and<br />

to establish the connection between mathematics and <strong>physics</strong> not on a calculational but on a<br />

mean<strong>in</strong>gful basis. More specifically the tasks conta<strong>in</strong> amongst other aspects<br />

the creation <strong>of</strong> a formula on the basis <strong>of</strong> physical reason<strong>in</strong>g<br />

the <strong>in</strong>terpretation <strong>of</strong> the special cases <strong>of</strong> a formula<br />

to draw conclusions based on a formula for physical behavior<br />

expla<strong>in</strong><strong>in</strong>g the mean<strong>in</strong>g <strong>of</strong> a formula<br />

The theoretical assumptions about the nature <strong>of</strong> the connection between <strong>physics</strong> and<br />

mathematics, as exposed <strong>in</strong> the model by Uhden et al. (2011), guided the construction <strong>of</strong> the<br />

tasks. The degree <strong>of</strong> difficulty was validated by the observations made <strong>in</strong> the pilot study<br />

which also gave h<strong>in</strong>ts for improvements and additional ideas. The physical topic is mechanics<br />

due to the fact that this is the topic with the highest degree <strong>of</strong> mathematics <strong>in</strong>volved <strong>in</strong><br />

secondary school.<br />

In total 30 students from different schools <strong>of</strong> higher education <strong>in</strong> Germany (“Gymnasium”)<br />

were <strong>in</strong>vited to work on the tasks. The students are from class level 9 and 10 – i.e. 15 to 16-<br />

years old – and their school grades <strong>in</strong>dicate a selection <strong>of</strong> ma<strong>in</strong>ly good students, but with<br />

more satisfactory grades than very good ones.<br />

As the students worked <strong>in</strong> pairs at an <strong>in</strong>teractive whiteboard we were able to conduct the<br />

observation without a video camera because the whiteboard provides the possibility to record<br />

the speech and writ<strong>in</strong>gs simultaneously. The students were requested to discuss the problems<br />

with each other and get a jo<strong>in</strong>t solution <strong>in</strong> order to animate them to speak aloud and express<br />

their ideas and thoughts. This makes it possible to follow their l<strong>in</strong>es <strong>of</strong> reason<strong>in</strong>g and thought<br />

processes to some degree. The recorded speech was transcribed and placed <strong>in</strong> relation to the<br />

writ<strong>in</strong>gs. The transcripts were then evaluated accord<strong>in</strong>g to the framework <strong>of</strong> qualitative<br />

content <strong>analysis</strong> (Mayr<strong>in</strong>g, 2008).<br />

RESULTS<br />

The observed <strong>difficulties</strong> were categorized along 4 ma<strong>in</strong> categories (which were each divided<br />

<strong>in</strong>to subcategories):<br />

Mathematical understand<strong>in</strong>g<br />

Superficial translation<br />

Connection between formula and mean<strong>in</strong>g<br />

Interference with <strong>in</strong>tuitive notions<br />

The category “Mathematical understand<strong>in</strong>g” refers to pure mathematical <strong>difficulties</strong> where no<br />

explicit connection to <strong>physics</strong> can be observed. That can perta<strong>in</strong> to problems with<br />

mathematical reason<strong>in</strong>g or to the already mentioned basic ideas. Nevertheless, these k<strong>in</strong>d <strong>of</strong><br />

<strong>difficulties</strong> have <strong>in</strong>fluences on the physical argumentation: If an <strong>in</strong>crease <strong>in</strong> the denom<strong>in</strong>ator


leads to an <strong>in</strong>crease <strong>of</strong> the whole fraction, the <strong>in</strong>terpreted physical behavior will also be<br />

wrong.<br />

The category “Superficial translation” is related to a strategic aspect. The established<br />

subcategories <strong>in</strong>dicate that the connection between <strong>physics</strong> and mathematics is guided by<br />

superficial criteria. For example, for many students the association <strong>of</strong> formulas and units<br />

seems to be based on rote learn<strong>in</strong>g and the formula v=s/t is used once velocity is mentioned,<br />

no matter what physical circumstances are present.<br />

The “Connection between formula and mean<strong>in</strong>g” is an essential category that is <strong>in</strong> close<br />

correspondence to the mentioned symbolic forms (Sher<strong>in</strong>, 2001). The classified <strong>difficulties</strong><br />

demonstrate a severe lack <strong>of</strong> understand<strong>in</strong>g <strong>of</strong> equations and its related physical mean<strong>in</strong>g. For<br />

example, the role <strong>of</strong> physical magnitudes as be<strong>in</strong>g a function, parameter, variable or constant<br />

seems to be confused or disregarded by some students. That led to discuss<strong>in</strong>g the <strong>in</strong>fluence <strong>of</strong><br />

a function on a parameter with the result <strong>of</strong> confusion.<br />

The category “Interference with <strong>in</strong>tuitive notions” <strong>in</strong>cludes that students reject an actually<br />

successful connection between physical and mathematical argumentation due to implications<br />

that are <strong>in</strong> contradiction to their <strong>in</strong>tuitive notions. If, for <strong>in</strong>stance, the physical description is<br />

not understood as an idealization, the (idealized) mathematical results are considered as<br />

unrealistic, lead<strong>in</strong>g to a shortened <strong>in</strong>terpretation <strong>of</strong> the results.<br />

IMPLICATIONS<br />

The outl<strong>in</strong>ed <strong>difficulties</strong> are a plea for a change from the technical to the structural<br />

mathematical skills <strong>in</strong> <strong>physics</strong> teach<strong>in</strong>g and learn<strong>in</strong>g. Especially the observed superficial<br />

translation seems to be cultivated by a focus on a technical use <strong>of</strong> mathematics. And also the<br />

mathematical understand<strong>in</strong>g can be assisted by teach<strong>in</strong>g structural skills without delegat<strong>in</strong>g<br />

this task to mathematics education.<br />

Furthermore, the categorized <strong>difficulties</strong> with the translation between formula and physical<br />

mean<strong>in</strong>g <strong>of</strong>fer the possibility to be addressed explicitly <strong>in</strong> the classroom <strong>in</strong> consistence with<br />

the symbolic forms. That could help build<strong>in</strong>g the foundations for a mean<strong>in</strong>gful use <strong>of</strong><br />

mathematics <strong>in</strong> <strong>physics</strong> teach<strong>in</strong>g. Tasks that address the connection between <strong>physics</strong> and<br />

mathematics, as well as a general qualitatively oriented use <strong>of</strong> mathematical structures, are<br />

further possibilities to stress and support the understand<strong>in</strong>g <strong>of</strong> structural skills.<br />

Acknowledgements<br />

Thanks to the European Social Fund (ESF) and to the Free State <strong>of</strong> Saxony for the f<strong>in</strong>ancial<br />

fund<strong>in</strong>g <strong>of</strong> this PhD-project.<br />

REFERENCES<br />

Brown, J. S., Coll<strong>in</strong>s, A., & Duguid, P. (1989). Situated Cognition and the Culture <strong>of</strong><br />

Learn<strong>in</strong>g. Education Researcher, 18(1), 32 – 42<br />

E<strong>in</strong>ste<strong>in</strong>, A. (1956). Me<strong>in</strong> Weltbild. West-Berl<strong>in</strong>: Ullste<strong>in</strong><br />

Mayr<strong>in</strong>g, P. (2008). Qualitative Inhaltsanalyse. We<strong>in</strong>heim: Beltz<br />

H<strong>of</strong>e, R. vom (1992). Grundvorstellungen mathematischer Inhalte als didaktisches Modell.<br />

Journal für Mathematikdidaktik, 13 (4), 345-364<br />

Lederman, N.G. (1992). Student's and teacher's conceptions <strong>of</strong> the nature <strong>of</strong> science: A review<br />

<strong>of</strong> the research. Journal <strong>of</strong> Research <strong>in</strong> Science Teach<strong>in</strong>g, 29(4), 331-359


Redish, E. F. (2006). Problem solv<strong>in</strong>g and the use <strong>of</strong> math <strong>in</strong> <strong>physics</strong> courses. Proceed<strong>in</strong>gs <strong>of</strong><br />

the Conference, World View on Physics Education <strong>in</strong> 2005: Focus<strong>in</strong>g on Change, Delhi,<br />

India, August 21–26.<br />

Sher<strong>in</strong>, B. (2001). How students understand <strong>physics</strong> equations. Cognition and Instruction, 19<br />

(4), 479-541<br />

Skemp, R. R. (1976). Relational understand<strong>in</strong>g and <strong>in</strong>strumental understand<strong>in</strong>g. <strong>Mathematics</strong><br />

Teacher, 77, 20-26<br />

Uhden, O., Karam, R., Pietrocola, M., & Pospiech, G. (2011). Modell<strong>in</strong>g Mathematical<br />

Reason<strong>in</strong>g <strong>in</strong> Physics Education. Science & Education, doi: 10.1007/s11191-011-9396-6,<br />

<strong>in</strong> press

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!