• No results found

Lifting the understanding of trigonometric limits from a procedural towards a conceptual understanding

N/A
N/A
Protected

Academic year: 2022

Share "Lifting the understanding of trigonometric limits from a procedural towards a conceptual understanding"

Copied!
15
0
0

Loading.... (view fulltext now)

Full text

(1)

Full Terms & Conditions of access and use can be found at

https://www.tandfonline.com/action/journalInformation?journalCode=tmes20

International Journal of Mathematical Education in Science and Technology

ISSN: (Print) (Online) Journal homepage: https://www.tandfonline.com/loi/tmes20

Lifting the understanding of trigonometric limits from procedural towards conceptual

Maria Cortas Nordlander

To cite this article: Maria Cortas Nordlander (2021): Lifting the understanding of trigonometric limits from procedural towards conceptual, International Journal of Mathematical Education in Science and Technology, DOI: 10.1080/0020739X.2021.1927226

To link to this article: https://doi.org/10.1080/0020739X.2021.1927226

© 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group

Published online: 19 May 2021.

Submit your article to this journal

View related articles

View Crossmark data

(2)

https://doi.org/10.1080/0020739X.2021.1927226

Lifting the understanding of trigonometric limits from procedural towards conceptual

Maria Cortas Nordlander

Department of Mathematics Education, Natural Sciences and Geography, Dalarna University, Falun, Sweden

ABSTRACT

The purpose of this paper is to follow the reasoning of high school students when asked to explain the standard trigonometric limit

θ→0lim

sinθ

θ = 1. An observational study was conducted in four differ- ent phases in order to investigate if visualization, by means of an interactive technology environment (Geogebra), can contribute in lifting high school students’ understanding from a mere procedu- ral understanding to a combination of conceptual and procedural understanding. The obtained results confirm that the students were able to show a conceptual understanding only after using the digital interactive tool. Through comparing, exploring and self-explaining combined with the use of the interactive tool, the students managed to link different concepts together. The students were able to see and interpret the reason making the angleθ and sin θ relate under certain conditions, thus leading to the standard trigonometric limit

θ→0lim

sinθ θ = 1.

ARTICLE HISTORY Received 30 July 2019 KEYWORDS Trigonometry; standard trigonometric limit;

conceptual understanding;

procedural understanding;

visualization; interactive technology environments;

Geogebra

1. Background

Although trigonometry is an essential field of mathematics, research in this field is quite limited (Kamber & Takaci, 2018; Moore et al., 2016; Weber, 2005, 2008). The importance of understanding trigonometry lies in the fact that it links algebraic, geometric, and graph- ical reasoning, which is essential for further understanding of pre-calculus and calculus (Weber, 2005). Research done in this field shows that students, as well as advanced adult learners, have difficulties due to limited or fragmented understanding in the subject (Chin, 2013; Moore & LaForest, 2014; Moore et al., 2016; Weber, 2008). Such deficits are leading to difficulties in future study of mathematics, and, e.g. engineering, physics and architecture (Moore & LaForest, 2014).

When working with right-angled triangles, students fail to interpret trigonometric oper- ators (sine, cosine, and tangent) as ratios and to develop a function-based understanding of trigonometric operations (Weber, 2005, 2008). Students have difficulties linking differ- ent representations in trigonometry such as triangles, ratios and dynamically changing numerical relationships (Blackett & Tall, 1991; Kamber & Takaci, 2018; Weber, 2005, 2008).

CONTACT Maria Cortas Nordlander mcn@du.se Department of Mathematics Education, Natural Sciences and Geography, Dalarna University, Högskolegatan 2, Falun SE-791 88, Sweden

© 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group

This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.

(3)

Furthermore, confusion can arise from the students’ inability to reason about trigonomet- ric functions in a circle context, thus failing to make connections between working with triangles and transferring this knowledge to circles (Chin, 2013; Moore & LaForest, 2014).

1.1. Visualization

In order to deal with the problem of understanding trigonometrical relationships, Black- ett and Tall (1991) propose a digital approach to trigonometry that allows the students to

‘relate its dynamically changing state to the corresponding numerical concepts. It, there- fore, has the potential of improving understanding’ (Blackett & Tall, 1991, p. 145). Blackett and Tall (1991) found that students who were taught trigonometry using interactive com- puter graphics showed better results than the control group who was taught trigonometry through conventional teaching methods. This was confirmed by research stating that visualization, using interactive technology environments such as graphing calculators or Geogebra, was recommended to improve students’ achievements in trigonometry (Abdul Rahman & Puteh, 2016; Choi-koh, 2003; Merrill et al., 2010; Naidoo & Govender, 2014;

Prabowo et al., 2018). Research by Chen et al. (2015) indicates that integrating graph- ical learning materials into teaching enhances performance in pattern reasoning, and using digital learning materials can improve attitudes towards learning mathematics. Self- efficacy is defined as the personal conviction that one is capable to successfully organize and execute actions to produce educational outcomes (Bandura, 1977, p. 193; Zimmerman, 1995, p. 203).

2. Theoretical framework

Conventional trigonometry teaching has often been linked to procedural understanding based on memorizing rules and applying algorithms, instead of conceptual understanding based on establishing relationships between different mathematical concepts (Hirsch et al., 1991; Kamber & Takaci, 2018; Weber, 2005).

Procedural knowledge is defined as being the knowledge of procedures, algorithms and a sequence of steps executed to solve a familiar task correctly without necessarily involving reflection and deep understanding (Hiebert & Lefevre, 1986; Rittle-Johnson & Schneider, 2015; Silver, 1986). Conceptual knowledge is the knowledge of abstract concepts and gen- eral principles (Rittle-Johnson, 2017), and is a knowledge rich in relationships. Hiebert and Lefevre (1986) define conceptual knowledge as ‘a connected web of knowledge, a network in which the linking relationships are as prominent as the discrete pieces of information’

(Hiebert & Lefevre, 1986, pp. 3–4). A conceptual understanding involves the ability to switch between different representations of a concept (O’Callaghan, 1998). Conceptual knowledge can even play the role of validating critic, improving the student’s ability to judge the validity of an answer and to check whether it makes any sense (Brownell, 1947;

Davis & McKnight, 1980; Hiebert & Lefevre, 1986). However, not all knowledge needs to be classified into either conceptual or procedural knowledge. Some knowledge is a mixture of both or even neither of them (Hiebert & Lefevre, 1986, p. 3).

According to Baroody et al. (2007), early research focused on oversimplifying proce-

dural knowledge, thus classifying it as a shallow way of learning which includes memo-

rizing algorithms (Baroody et al., 2007). On the other hand, a conceptual understanding

was incorrectly described as a deep understanding while a procedural understanding is

(4)

described as a superficial understanding. In fact, research that problematized type and quality of knowledge and understanding shows that even a conceptual knowledge may be of a superficial quality and a procedural knowledge can be deep and sophisticated (Star, 2005, 2007; Star & Stylianides, 2013). As an example, flexibility in choosing an efficient strategy or algorithm, with critical judgment, is an indicator of deep procedural knowl- edge (Star, 2005, 2007). Conceptual knowledge cannot exist without knowing the tools and how to apply them (Kilpatrick et al., 2001). Hence, those two types of understanding are bidirectional. Both procedural knowledge and conceptual knowledge are connected by dynamic interplay; they complete and improve each other and are both needed to achieve a deep learning and a deep understanding (Baroody et al., 2007; Hiebert & Lefevre, 1986;

Rittle-Johnson, 2017; Rittle-Johnson & Alibali, 1999; Rittle-Johnson & Schneider, 2015).

Developing a conceptual understanding makes it even easier to remember procedures, rules and algorithms (Baroody et al., 2007; Carpenter, 1986; Hiebert & Lefevre, 1986; Sil- ver, 1986) and to avoid the ‘tendency to use rules as reasons for action, without recognizing that using a rule is different from explaining why the rule works or why it is legitimate to use it in a particular case’ (Lampert, 1990, p. 56).

In order to achieve this co-transition between procedural and conceptual under- standing, this study is based on a model with three pillars developed by Rittle-Johnson (2017):

• Comparing: when the student studies examples individually and reflect on them.

• Exploring before instruction: when the student is prompted to explore, discover patterns and pay attention to important information.

• Self-explaining: when the student generates explanation to make sense of the new infor- mation. Self-explaining has shown to be an effective way to help learners develop deeper understanding of the material they study (Ainsworth & Loizou, 2003; Rittle-Johnson, 2017).

Techniques such as comparing, explaining, and exploring promote procedural flexi- bility leading to more than one type of knowledge (Rittle-Johnson, 2017). Spontaneous self-explaining promotes new problem-solving approaches and deeper ways of thinking (Rittle-Johnson, 2006; Siegler, 2002), and leads to improvements in procedural learning, procedural transfer, and conceptual understanding (Carpenter et al., 1998; Chi, 2000; Chi et al., 1989). Comparing can improve all types of knowledge because it promotes percep- tual learning (Rittle-Johnson & Star, 2011). Exploring problems and inventing solutions helps students to gain deeper conceptual and procedural knowledge of the topic (Rittle- Johnson, 2017; Schwartz et al., 2011). This study is based on observations where the students reflected out loud and were rarely interrupted by the teacher during this process.

The idea is that students will explore, compare, and connect items leading to discovering relationships and learning through their own reflections and self-explaining. The model developed by Rittle-Johnson (2017) is found suitable for the purpose.

3. The purpose of the paper

The focus of this paper is to investigate high school students’ understanding of a trigono- metric limit, i.e. lim

θ→0 sinθ

θ

= 1. The students are encouraged in a further step to explore

(5)

and understand the reason behind this limit according to the model developed by Rittle- Johnson (2017). This standard limit is very useful to know and understand in future mathematics learning, but also in, i.e. engineering, physics and architecture. In a study performed by Siyepu (2015), the author presents conceptual errors made by Chemical Engineering students showing that they did not grasp the concept of lim

θ→0 sinθ

θ

= 1. Thus the need to study this standard limit further.

This standard limit is first encountered by the Swedish students when they are dealing with the proof of the derivative of the function f (x) = sin x. At this stage, the students are asked to accept this fact with the motivation ‘you will get to understand it later in more advanced mathematics classes’. Sometimes the teacher shows a numerical explanation for the trigonometric limit using a table where the value of θ decreases until the student sees the pattern converging towards 1. Regardless of which, the students did not see the reason behind this limit converging towards 1.

Aside from the numerical method mentioned above, there are several known meth- ods to prove and compute the trigonometric limit lim

θ→0 sinθ

θ

= 1. The proof based on the Squeeze Theorem may be beautifully transparent and satisfactory, but is diffi- cult to grasp for students fighting with their understanding of trigonometry. Apply- ing L’Hôpital’s rule or using approximations based on Maclaurin series expansions are easy methods to compute the trigonometric limit lim

θ→0 sinθ

θ

= 1, without explic- itly exploring the ‘why question’. In order to avoid a mere procedural understanding when dealing with trigonometry, the objective of this paper is to approach the task by combining conceptual understanding and procedural understanding. This objective is expected to be achieved through both visualization and the model inspired by Rittle- Johnson (2017).

The purpose of this paper is to follow the reasoning of high school students when asked to explain the standard limit defined above. This paper investigates if visualization and interactive technology environments can contribute to lifting the students’ under- standing from a procedural understanding to a combination of conceptual and procedural understanding. The following research question is addressed:

• To what extent does visualization combined with comparing, self-explaining and exploring, support students’ understanding to graphically interpret and understand the trigonometric limit lim

θ→0 sinθ

θ

= 1?

4. Method

This study is based on controlled observations, under arranged conditions. Each of the

students met the researcher individually in a quiet room, where they could talk undis-

turbed. The room was equipped with a computer as well as a recording camera. The

researcher explained the purpose of the study and the student was aware that he/she was

being observed and that the conversation was video recorded. The camera could switch

the focus between the paper the student was writing on and the screen of the computer

with Geogebra. No faces were allowed to be recorded, no personal data was recorded. Each

observation lasted approximately between 20 and 40 minutes.

(6)

4.1. Participants

McMillan and Schumacher (2010) stated that a non-random sampling method is the most efficient sampling method. Therefore, a voluntary response sampling was used in this study, as a form of a non-random sampling method. The chosen high school is a public high school situated in central Sweden, and the city’s largest high school with c:a 1400 stu- dents. The participants were 13 Swedish upper-secondary high school students between 18 and 19 years of age, studying the technology program. The students had already taken the course Mathematics 4, i.e. a course that deals with trigonometry and with the concept of limits. After an introductory meeting with the researcher, the classroom teacher asked the class for volunteers for this study. All aspects for conducting ethically correct research were followed: the participants were informed about the study, the participants consented on being part of the study, the participants were informed about privacy, anonymity and confidentiality aspects related to the study, and that the collected data would be used only for the purpose of the study. All the ethical aspects were followed according to the Swedish principles of ethics in research (Vetenskapsrådet, 2017).

Each observation starts with the participating student being shown the detailed proof of how to get the derivative of f (x) = sin x. The student is then told that one of the reasons for f



(x) = cos x is due to the well-known trigonometric limit lim

θ→0 sinθ

θ

= 1. At this point, this step is expected to be a repetition of what has already been taught by a teacher conducting a conventional teaching method. The observation is then divided into 4 phases:

Phase 1: A paper and a pen are handed to the student. The student is asked to interpret the formula lim

θ→0 sinθ

θ

= 1.

Phase 2: The student is handed a paper illustrating the unit circle. The same question as in Phase 1 is asked. The student is expected to illustrate the reason behind lim

θ→0 sinθ

θ

= 1 through graphical representations of the sine function using the unit circle.

Phase 3: The student is shown the interactive Geogebra application with the unit circle and a draggable point P on the unit circle periphery. The ray from the origin (0, 0) to the point P on the unit circle builds an angle θ from the positive x-axis. When the point P is dragged it is possible to observe how the angle θ, the line segment in the unit circle representing sin θ, as well as the arc of the circle corresponding to the angle θ change accordingly. None of the parameters in the application is labelled. The student is invited to interpret what he/she sees and to associate it with the studied object.

Phase 4: The student is shown the same Geogebra application. All the parameters are labelled, and the application is dynamic, meaning that all the parameters change val- ues when the student drags the point P (Figure 1). It is clear that when the angle θ is very small, all the values of the angle θ, the line segment in the unit circle representing sin θ, as well as the arc of the circle corresponding to the angle θ become the same.

The entire observation is recorded, then transcribed and analyzed using a thematic anal-

ysis according to the model described by Braun and Clarke (2006). The process started

with familiarizing with the data through transcribing and reading repeatedly, categorizing

information, and identifying themes or patterns that generated codes and categories.

(7)

Figure 1.

The Geogebra application illustrating the studied task and showing the values of the different parameters. https://www.geogebra.org/m/qyzhuxdd.

5. Results and discussion

The results and the discussion will be divided into before and after the visualization with the Geogebra application.

5.1. Before Geogebra – phases 1 and 2: inability to connect different representations

The students start with comparing and reflecting on the task according to the first pillar in the Rittle-Johnson (2017) model. The idea is that they will be able to switch between different representations of the concept of sine without any use of interactive technology environments. Those two phases witnessed clearly that the participants were unable to connect the different representations of sine. At this stage, it is difficult to decide if lack of knowledge is the reason. Later on, it became obvious that the students needed more information in order to connect all the concepts, compare them and draw conclusions.

This was facilitated by the use of Geogebra and visualization of the concepts. The students showed no sign of conceptual knowledge. The lack of conceptual knowledge prevented them from going further in understanding, thus failing to interpret the reason making the limit lim

θ→0 sinθ

θ

go towards 1. This phase was associated with the students developing strong feelings of frustration due to the fact that the students were unable to ‘see’ patterns and associate concepts.

5.2. External factors revealed by self-explaining and exploring: time perspective, teacher impact

Linking information stored in the memory is a distinct sign of conceptual understanding.

However, self-explaining and exploring before visualization showed that the students failed

to remember knowledge stored in the memory. The time aspect relates to the property

of failing to connect / to remember knowledge already stored in the memory. Students

expressed that they forgot due to time elapsing (one year after their Mathematics 4 course).

(8)

They failed to remember formulas, they expressed feelings like ‘it has been a long while since we worked with this kind of mathematics’ or even ‘No, I have not seen this before’.

Another external factor that was mentioned was the impact of the teacher. Students failed to remember because ‘the teacher never mentioned this before’ or even ‘I remem- ber the formula, but the teacher never demonstrated the formula, but just skipped it’.

This shows that in this case, both the textbook used in class, and the classroom teacher did exhibit a procedural attitude, leading to what can be qualified as procedural teaching.

The student revealed that the classroom teacher’s explanation was based on procedural knowledge: giving formulas to memorize without any further explanation.

Many students blamed ‘the elapsing time’ for their forgetfulness. Time is an impor- tant factor in learning. It is true that one forgets with elapsing time and the question is if a conceptual understanding would contribute to a better understanding, hence keeping the information stored in the memory even after a longer period of time. This is in line with the core of conceptual understanding as defined by Hiebert and Lefevre (1986, p. 4).

When it comes to teacher’s perspective, the students expressed a feeling that the teacher had been using a procedural teaching method, and the students were shown a formula without explaining the reason behind.

5.3. Deficit in the knowledge base

Self-explaining and exploring are known to be positive factors to improve students’ under- standing for a task (Rittle-Johnson, 2017). In this case however, before visualization, self-explaining and exploring were tools that revealed some of the students’ misconcep- tions and common mistakes. Some basic knowledge that the students missed are listed here and analyzed afterwards. Notice, the expressions listed below are copied directly from what the students expressed orally or in writing.

• Suggesting that sin90/90 = 1, when trying to illustrate an example for lim

θ→0 sinθ

θ

= 1

• Mixing up sine and cosine in the unit circle

• Suggesting that sin0 = 1 and comparing with Geogebra and realizing that the reasoning is erroneous.

• Mixing up sin(1) and sin(90) = 1

• Making their own formulas or accepting that sin0/0 = 1

• Suggesting that 1/0 = 1

• Suggesting that 0/0 = 1

• Suggesting that 0/0 = 0

• Mixing up degrees and radians

The deficit in the knowledge base is also a logical explanation for the students’ lack of validating critic. For example, some students gave answers such as sin90/90 = 1 when trying to interpret the formula

sinθθ

= 1, incorrectly without the condition on the limits, implying that 1/90 = 1. Such answers show that students missed details such as the condi- tion put on the angle θ that should tend to zero. They also show that the students did not question if the answer is inappropriate or makes any sense (Hiebert & Lefevre, 1986, p. 13).

It is obvious that some students mixed up the two concepts sine and cosine. This can be

due to their procedural knowledge where the formal language is a handicap, and there is a

(9)

lack of familiarity with symbols. This is even more obvious when some students could not relate sine of the angle to the y-coordinate value on the unit circle. This is again an exam- ple of failing to connect concepts and different representations, and failing to remember knowledge already stored in the memory (Hiebert & Lefevre, 1986, p. 4). The same can be stated about students making up their own formulas such as sin0 = 1, 1/0 = 1, 0/0 = 1 etc. The interesting part here is that when the students have memorized inaccurate infor- mation such as sin0 = 1, they realized that their reasoning is erroneous when they tried to verify it with Geogebra. This underlines the importance of a deeper understanding, which could be achieved through visualization (Abdul Rahman & Puteh, 2016; Blackett & Tall, 1991; Choi-koh, 2003; Merrill et al., 2010; Naidoo & Govender, 2014; Prabowo et al., 2018).

5.4. Context steered thinking

Exploring before instructions and trying to find strategies give the students opportunities to struggle and to figure out something that is not immediately apparent (Rittle-Johnson, 2017). In our case, many students were steered by the context while exploring. The con- text of limits was associated to derivative and prevented them from thinking about easy trigonometrical ratios. Instead they focused their attention on the concept of limits. One student wanted to associate the formula with the concept of integrals.

The context steered thinking blinded the students from seeing easy solutions. When students focused their attention on the concept of limits, they ended up failing in creating relationships between the existing knowledge and new information. Their attempts to find solutions related to derivative and limits show that their acquired knowledge is context bound with a clear tendency to compartmentalize knowledge (Hiebert & Lefevre, 1986, p. 18).

5.5. After Geogebra – phases 3 and 4: validating critic

The students tried to explore the task according to the second pillar in the Rittle-Johnson (2017) model. In this case, the students are paying attention to small details and important information using visualization through the interactive technology environment Geoge- bra. When equipped with conceptual knowledge a student can tell when a procedure is inappropriate, or when it is violating the conceptual principles (Hiebert & Lefevre, 1986, p.

12). The students questioned some results, and the conceptual knowledge was acting as a validating critic telling the students that some answers do not make any sense, prompting the students to re-evaluate the choice of procedure (Hiebert & Lefevre, 1986, p. 13).

The students were doing some self-explaining according to the third pillar in the Rittle-

Johnson (2017) model, thus generating explanation to make sense of the new information

and developing deeper understanding of the material. The students were using visual-

ization through the interactive technology environment Geogebra. They were showing

conceptual understanding when they managed to link together the two pieces of important

information: the arc of the circle being the same as the angle, when one is dealing with the

unit radians. According to Hiebert and Lefevre (1986, p. 4), this linking process between

two pieces of information stored in the memory, or between an existing and one newly

learned (in this case the arc of the circle and the angle of the triangle), displays a distinct

sign that the students have acquired a conceptual understanding of the problem. This phase

(10)

is associated with self-efficacy and satisfactory feelings, due to the sense of achievement (Bandura, 1977; Chen et al., 2015; Zimmerman, 1995).

5.6. Associating representations and relating information through exploring and comparing

The students showed conceptual understanding when associating different representations of the sine function: a ratio in the right-angled triangle as well as the length of a certain line segment in a unit circle. Due to the Geogebra application, some of the students have even succeeded in demonstrating the formula for the arc length when θ is given in radians (s = r · θ). Some of the students were able to relate information and to associate concepts with stored information from a previous physics course. This is in line with the idea of acquiring conceptual understanding where previously unrelated items are suddenly seen as related (Hiebert & Lefevre, 1986, p. 4).

5.7. Reflecting on the details

Visualization combines the ‘three pillars’ of the model developed by Rittle-Johnson (2017) as well as connecting different representations which is the main core of showing a concep- tual understanding. During this step, the students were prompted to explore and to find the patterns and how concepts relate to each other under certain conditions. Comparing, exploring, and self-explaining, are combined in this step. The students were able to switch between representations as well as to connect several concepts together, making his/her discourse lean towards a conceptual understanding.

The students were able to reflect and to associate the limit formula with the condition given on θ. Due to Geogebra, the students found a pattern and recognized that the formula does not work if θ does not tend towards zero. While reflecting and self-explaining they were able to notice that some values are not the same if θ does not tend towards zero.

This leads to the fact that the formula does not work unless some conditions are applied:

‘if you divide this value with this value, the ratio is not one’. To find a pattern and come to conclusions became much easier when the students, by means of visualization, were able to interpret the reasons and the conditions making this formula correct.

5.8. A combination of procedural and conceptual understanding

The results in this study could be summarized by Figure 2. In Figure 2, a discourse show- ing mere procedural understanding can develop to a discourse displaying a combination of procedural and conceptual understanding. This can be achieved with the use of digi- tal tools in combination with the three pillars: ‘Comparing/Exploring/Self-explaining’ of the Rittle-Johnson (2017) model. A discourse showing mere conceptual understanding can also develop to a discourse displaying a combination of procedural and conceptual understanding following the same path.

The design in Figure 2 was applied to the discourse of the students who participated

in this study. The students started with a discourse displaying a procedural understanding

due to the formulas given by the classroom teacher to memorize without any further expla-

nation. The use of digital tools for visualization was combined with the model with three

(11)

Figure 2.

The paths linking a procedural understanding or a conceptual understanding to a combina- tion of procedural and conceptual understanding.

pillars developed by Rittle-Johnson (2017). Those two are on the same level because the students could go back and forth from the use of digital tools to comparing/exploring/self- explaining. The students even showed sign for validating critic as well as linking the different representations and concepts. The combination of these tools led the students towards a more conceptually based discourse.

An example illustrating one of the paths in Figure 2

Student: The first thing that I see is that when the angle approaches zero so both sine approaches zero and . . . aaahhh of course the angle is approaching zero as well. Ahhh I get zero divided by zero. I do not know how I would . . . (A dis- course displaying procedural understanding: the student is trying to execute an algorithm without succeeding)

Student: [. . . ] This is how radians are constructed. Because, if you have radians, it becomes ahhhhh . . . the arc of the circle has the same value as the angle.

(A discourse displaying procedural understanding since the student is just repeating memorized rules without involving reflection: it is just the way it is; this is how they are constructed)

Researcher: Mmmmm very good

Student: I am still not able to associate this to . . . how this will approach . . . one.

Aaahhhh it is actually

. . .

(12)

Researcher: What is happening when you drag point P making the angle approach zero as you are suggesting? What is happening with the arc of the circle?

Student: Ah the arc of the circle? Yes! This length of the line segment is . . . this length becomes of course, ahhaaaaa this length is actually the sine for . . . (Use of digital tools for visualization, as well as Comparing + Exploring + Self- Explaining: the student is exploring through dragging the point P, then comparing the value of the segment line with the value of the arc of the circle and explaining what he/she discovered when dragging and comparing) Researcher: Mmmm

Student: And if you make the angle smaller and smaller then, the arc of the cir- cle becomes almost straight. Then the arc of the circle will be as equal as the line segment, they will be the same. Therefore, their ratio is one. Am I on the right track? (A discourse displaying a combination of procedural and conceptual understanding: the procedural understanding being the sim- ple conclusion ‘they will be the same’ and the conceptual understanding being that the student related different pieces of information and came to the abstract conclusion that the ratio is 1)

Researcher: You are absolutely on the right track!

Student: Ahhhh this is exquisite!

Even when it comes to qualitative studies, quality can be assessed in terms of validity and reliability (Long & Johnson, 2000, p. 31). A number of factors may have affected reliability and validity in this study:

• The ambiguity when categories are defined or by the coding rules using the the- matic analysis according to the model described by Braun and Clarke (2006). Will the reproducibility of the same study generate the same results?

• The relevance of the population. How significant is the choice of the students being in focus of this observation? Did emotional factors – such as stress, or being not at ease with the researcher – affect the students’ performance and their ability to succeed with the task already in phase 1?

Seeking higher levels of reliability and validity could be achieved through triangulation and the combination of several research methods to collect data for this specific study, which could be a future goal to achieve. Triangulation could be useful in future research in order to cross-validate data as well as to capture different dimensions and perspectives of the study. Since a non-random sampling was used (voluntary response), it is not possible to make conclusions about the entire population of high school students, but it was possible to develop an initial understanding of problems this population has in learning about the standard trigonometric limit, as well as how their learning could be improved.

6. Conclusion and future research

This study shows a positive correlation between visualization and the ability to connect

different representations of trigonometric concepts, which enhances the conceptual under-

standing as shown in the results above. This enhancement of conceptual understanding

(13)

goes hand in hand with the students expressed satisfaction and self-efficacy. This is in line with research stating that self-efficacy can improve a positive attitude to mathematics, and that self-efficacy is enhanced by the use of digital tools (Chen et al., 2015, p. 1).

This study is yet to be generalized with data coming from a greater amount of partici- pants. A future objective aims to do the same observation on a larger scale of population in order to validate what has been observed in this study, as well as to validate the choice of the categories. The author strongly believes in the positive impact of visualization in order to learn mathematics. Achieving a conceptual understanding through linking differ- ent concepts together can significantly be enhanced by the use of digital tools and different interactive technology environments.

Disclosure statement

No potential conflict of interest was reported by the author.

References

Abdul Rahman, M. H., & Puteh, M. (2016). Learning trigonometry using GeoGebra learn- ing module: Are under achiever pupils motivated? AIP Conference Proceedings, 1750, 040001.

https://doi.org/10.1063/1.4954586

Ainsworth, S., & Loizou, A. (2003). The effects of self-explaining when learning with text or diagrams. Cognitive Science, 27(4), 669–681. https://doi.org/10.1207/s15516709cog2704_5 Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological

Review, 84(2), 191–215. https://doi.org/10.1037/0033-295X.84.2.191

Baroody, A. J., Feil, Y., & Johnson, A. R. (2007). An alternative reconceptualization of procedu- ral and conceptual knowledge. Journal for Research in Mathematics Education, 38(2), 115–131.

https://doi.org/10.2307/30034952

Blackett, N., & Tall, D. O. (1991). Gender and the versatile learning of trigonometry using computer software. In F. Furinghetti (Ed.), Proceedings of the 15th conference of the International Group for the Psychology of Mathematics Education (pp. 144–151). PME.

Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa

Brownell, W. A. (1947). The place of meaning in the teaching of arithmetic. Elementary School Journal, 47(5), 256–265. https://doi.org/10.1086/462322

Carpenter, T. P. (1986). Conceptual knowledge as a foundation for procedural knowledge. In J.

Hiebert (Ed.), Conceptual and procedural knowledge: The case of mathematics (pp. 113–132).

Lawrence Erlbaum Associates.

Carpenter, T. P., Franke, M. L., Jacobs, V. R., Fennema, E., & Empson, S. B. (1998). A longitudinal study of invention and understanding in children’s multidigit addition and subtraction. Journal for Research in Mathematics Education, 29(1), 3–20. https://doi.org/10.2307/749715

Chen, M. J., Lee, C. Y., & Hsu, W. C. (2015). Influence of mathematical representation and mathe- matics self-efficacy on the learning effectiveness of fifth graders in pattern reasoning. International Journal of Learning, Teaching and Educational Research, 13(1), 1–16.

Chi, M. T. H. (2000). Self-explaining: The dual processes of generating inference and repairing mental models. In R. Glaser (Ed.), Advances in instructional psychology: Educational design and cognitive science (Vol. 5, pp. 161–238). Lawrence Erlbaum Associates.

Chi, M. T. H., Bassok, M., Lewis, M. W., Reimann, P., & Glaser, R. (1989). Self-explanations: How students study and use examples in learning to solve problems. Cognitive Science, 13(2), 145–182.

https://doi.org/10.1207/s15516709cog1302_1

Chin, K. E. (2013). Making sense of mathematics: supportive and problematic conceptions with special

reference to trigonometry [Dissertation, University of Warwick].

(14)

Choi-koh, S. S. (2003). Effect of a graphing calculator on a 10th-grade student’s study of trigonom- etry. The Journal of Educational Research, 96(6), 359–368. https://doi.org/10.1080/0022067030 9596619

Davis, R. B., & McKnight, C. (1980). The influence of semantic content on algorithmic behavior.

Journal of Mathematical Behavior, 3(1), 39–87.

Hiebert, J., & Lefevre, P. (1986). Conceptual and procedural knowledge in mathematics: An introductory analysis. In J. Hiebert (Ed.), Conceptual and procedural knowledge: The case of mathematics (pp. 1–27). Lawrence Erlbaum Associates.

Hirsch, C. R., Weinhold, M., & Nichols, C. (1991). Trigonometry today. Mathematics Teacher, 84(2), 98–106. https://doi.org/10.5951/MT.84.2.0098

Kamber, D., & Takaci, D. (2018). On problematic aspects in learning trigonometry. Inter- national Journal of Mathematical Education in Science and Technology, 49(2), 161–175.

https://doi.org/10.1080/0020739X.2017.1357846

Kilpatrick, J., Swafford, J., & Findell, B. (2001). Adding it up: Helping children learn mathematics.

National.

Lampert, M. (1990). When the problem is not the question and the solution is not the answer:

Mathematical knowing and teaching. American Educational Research Journal, 27(1 ), 29–63.

https://doi.org/10.3102/00028312027001029

Long, T., & Johnson, M. (2000). Rigour, reliability and validity research. Clinical Effectiveness in Nursing, 4(1), 30–37. https://doi.org/10.1054/cein.2000.0106

McMillan, J., & Schumacher, S. (2010). Research in education: Evidence-based inquiry (7th ed.).

Pearson.

Merrill, C., Devine, K. L., Brown, J. W., & Brown, R. A. (2010). Improving geometric and trigono- metric knowledge and skill for high school mathematics teachers: A professional development partnership. Journal of Technology Studies, 36(2), 20–30. https://doi.org/10.21061/jots.v36i2.a.3 Moore, K. C., & LaForest, K. R. (2014). The circle approach to trigonometry. Mathematics Teacher,

107(8), 616–623. https://doi.org/10.5951/mathteacher.107.8.0616

Moore, K. C., LaForest, K. R., & Kim, H. J. (2016). Putting the unit in pre-service secondary teachers’

unit circle. Educational Studies in Mathematics, 92(2), 243. https://doi.org/10.1007/s10649-016- 9680-0

Naidoo, J., & Govender, R. (2014). Exploring the use of a dynamic online software pro- gramme in the teaching and learning of trigonometric graphs. Pythagoras, 35(2), 12.

https://doi.org/10.4102/pythagoras.v35i2.260

O’Callaghan, B. R. (1998). Computer intensive algebra and students’ conceptual knowledge of func- tions. Journal for Research in Mathematics Education, 29(1), 21–40. https://doi.org/10.2307/749716 Prabowo, A., Anggoro, R. P., Adiyanto, R., & Rahmawati, U. (2018). Interactive multimedia- based teaching material for trigonometry. Journal of Physics: Conference Series, 1097, 012138.

https://doi.org/10.1088/1742-6596/1097/1/012138

Rittle-Johnson, B. (2006). Promoting transfer: Effects of self-explanation and direct instruction.

Child Development, 77(1), 1–15. https://doi.org/10.1111/j.1467-8624.2006.00852.x

Rittle-Johnson, B. (2017). Developing mathematics knowledge. Child Development Perspectives, 11(3), 184–190. https://doi.org/10.1111/cdep.12229

Rittle-Johnson, B., & Alibali, M. W. (1999). Conceptual and procedural knowledge of math- ematics: Does one lead to the other? Journal of Educational Psychology, 91(1), 175–189.

https://doi.org/10.1037/0022-0663.91.1.175

Rittle-Johnson, B., & Schneider, M. (2015). Developing conceptual and procedural knowledge of mathematics. In R. C. Kadosh, & A. Dowker (Eds.), Oxford library of psychology. The Oxford handbook of numerical cognition (pp. 1118–1134). Oxford University Press.

Rittle-Johnson, B., & Star, J. R. (2011). The power of comparison in learning and instruction: Learn- ing outcomes supported by different types of comparisons. In J. P. Mestre, & B. H. Ross (Eds.), Psychology of learning and motivation: Cognition in education (pp. 199–222). Elsevier.

Schwartz, D. L., Chase, C. C., Chin, D. B., & Oppezzo, M. (2011). Practicing versus inventing

with contrasting cases: The effects of telling first on learning and transfer. Journal of Educational

Psychology, 103(4), 759–775. https://doi.org/10.1037/a0025140

(15)

Siegler, R. S. (2002). Microgenetic studies of self-explanation. In N. Garnott, & J. Parziale (Eds.), Microdevelopment: A process-oriented perspective for studying development and learning (pp.

31–58). Cambridge University Press.

Silver, E. A. (1986). Using conceptual and procedural knowledge: A focus on relationship. In J.

Hiebert (Ed.), Conceptual and procedural knowledge: The case of mathematics (pp. 181–198).

Lawrence Erlbaum associates.

Siyepu, S. W. (2015). Analysis of errors in derivatives of trigonometric functions. International Journal of STEM Education, 2(1), 16. https://doi.org/10.1186/s40594-015-0029-5

Star, J. R. (2005). Reconceptualizing procedural knowledge. Journal for Research in Mathematics Education, 36(5), 404–411. https://doi.org/10.2307/30034943

Star, J. R. (2007). Foregrounding procedural knowledge. Journal for Research in Mathematics Educa- tion, 38(2), 132–135. https://doi.org/10.2307/30034953

Star, J. R., & Stylianides, G. J. (2013). Procedural and conceptual knowledge: Exploring the gap between knowledge type and knowledge quality. Canadian Journal of Science, Mathematics and Technology Education, 13(2), 169–181. https://doi.org/10.1080/14926156.2013.784828

Vetenskapsrådet. (2017). God forskningsetik.

Weber, K. (2005). Students’ understanding of trigonometric functions. Mathematics Education Research Journal, 17(3), 91–112. https://doi.org/10.1007/BF03217423

Weber, K. (2008). Teaching trigonometric functions: Lessons learned from research. The Mathemat- ics Teacher, 102(2), 144–150. https://doi.org/10.5951/MT.102.2.0144

Zimmerman, B. J. (1995). Self-efficacy and educational development. In A. Bandura (Ed.), Self-

efficacy in changing societies (pp. 202–231). Cambridge University.

References

Related documents

Department of Clinical and Experimental Medicine Faculty of Health Sciences, Linköping University. se -581 83 Linköping,

These core principles of social ecology provide us with a better understanding of how we belong to the ecology of our human- environment systems and how the

l Since the research was not aimed to create a good mobile image browsing application, but to compare and evaluate the user’s experiences towards the different display

the dissertation research I analyze (1) perceptions about the report genre in archaeology literature, (2) information policy regulating reporting in archaeology, (3) how report

on paper, which was especially important when the task description contained complicated path information. Answers to questions could be given by pointing with the mouse and using

This ambition was pursued by creating spatial, or land use, categories consisting of own settlement, high- and middle-income residential settlements and city centre, and

In our current analysis of the above classroom, we have started in the micro level of the teacher- student interactions, and by utilizing the analytical framework described below

What was a dim understanding of hospice nursing practice in the beginning, had become a fuller awareness by the end of this study, namely the understanding of the importance of