THE DIFFICULTIES STUDENTS FACE IN PREDICTING THE OUTCOME OF AN EXPERIMENT
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1 THE DIFFICULTIES STUDENTS FACE IN PREDICTING THE OUTCOME OF AN EXPERIMENT Athanasios Velentzas, Krystallia Halkia School of Education, National and Kapodistrian University of Athens Abstract: The present study attempts to detect secondary education students mental processes when predicting the outcomes of Physics experiments in order to trace their difficulties in predicting the results of experiments. The research sample consisted of 86 upper secondary-level students aged Students had to predict the outcomes of three Physics experiments and also to analytically express on an answer sheet the route their thinking followed in reaching these outcomes. A qualitative content analysis of the answer sheets followed. The findings show that the three I s (Intuition - Incompleteness Irrelevancy) typology of cognitive erring-mechanisms in thought experimentation can describe the mental processes which lead students to fail when predicting the outcomes of Physics experiments. Specifically: - Intuition and everyday experience lead students to overlook or misrepresent school knowledge, - Students make incomplete assumptions. That is, they focus on only one parameter of the problem - the most obvious one - and overlook others which could be critical for predicting the outcome of an experiment. - Students use irrelevant attributes of materials or irrelevant physics laws to predict the outcomes of experiments. Keywords: students predictions, Physics experiments, secondary education, school lab work INTRODUCTION Practical work in the laboratory is of key importance in science instruction, since it promotes the learning of science content and processes, as well as increases understanding of the nature of science (Duit & Tesch 2010). However, while laboratory work promotes competences in the skills of gathering information and organizing observations, it has little effect on the acquisition of scientific knowledge (White 1996). According to Millar (2004), it is unlikely that students could grasp new scientific concepts or understand a theory as a result of any single practical task, however well designed. The understanding of concepts and principles does not develop solely or predominantly from the experiment. The genesis of understanding science is a cyclical process linking experiment and theory as well (Duit & Tesch 2010, p.18). For this reason, students should have the opportunity to work under adult guidance, and thus the role of the teacher is important (Vygotsky 1978, p.86). If teachers aim to help students develop links between observations and ideas in an experiment, they should first introduce these ideas, and it is important that they are in play during the practical activity (Abrahams & Miller 2008).
2 A strategy which has been proposed to teach Physics by means of an experiment (White & Gunstone 1992) has three steps: Prediction Observation Explanation (POE). The present work is a pilot study limited to the first step of the above strategy and attempts to trace students difficulties in predicting the outcomes of experiments. In this step, it is crucial for students to indicate both their prediction and the reasons they have to support the prediction (White & Gunstone 1992, p. 46). Thus, the teacher would be aware of his/her students ideas and, in general, of their way of thinking in order to help them to develop links between observations and ideas. THE PREDICTION OF THE OUTCOME OF AN EXPERIMENT The experimenter, when predicting an experiment s outcome, performs the experiment in his/her mind. Thus, we could suppose that the experimenter runs a kind of thought experiment in his/her mind. According to Nersessian (1993), a thought experiment, is a process of reasoning that involves constructing and making inferences from a mental simulation. The experimenter constructs a dynamical model in his/her mind, imagines a sequence of events and processes, and infers outcomes (Nersessian 1993). In such a process, the student is forced to access tacit intuitions, explicit and implicit knowledge, and logical derivation strategies, and integrate these into one working thought process (Reiner & Burko 2003). If we adopt this hypothesis, i.e. that the mental process when predicting a Physics experiment has many similarities with the mental process when performing a thought experiment, then the study of the factors that lead thought experiments to incorrect results could help in understanding the barriers involved when students are asked to predict the results of real experiments. By analyzing thought experiments proposed by well known scientists, Reiner and Burko (2003) conclude that there are three cognitive processes which may lead scientists to the wrong conclusion when performing TEs: (i) Intuition: Intuitive judgment and past general experience may lead the experimenter to override the conventional theoretical framework. (ii) Incompleteness: The omission of the set of assumptions concerning the imaginary world of a thought experiment may lead to erroneous conclusions. (iii) Irrelevancy: Irrelevant assumptions that were included in the features of the imaginary world in a thought experiment lead to logical conclusions that may not be relevant for natural phenomena. Similar cognitive processes occur in naive physics learning but naive learners replace theoretical constructs with intuitive knowledge and this replacement may be much stronger for naive learners than for expert physicists (Reiner and Burko 2003). Indeed, students tend to use their own ordinary common sense ideas rather than any ideas from school science (Bliss 2008). Thus, the three I s (Intuition - Incompleteness Irrelevancy) provide a typology of cognitive erring-mechanisms that can be used for predicting classes of errors in thought experiments, analysing naive learning processes, and developing learning environments (Reiner and Burko 2003). In the present pilot study, an effort was made to use the three I s typology to analyze students thinking processes when they predict the results of experiments. The findings of the pilot study helped in the design of student interviews for the main study which is in progress. A deeper understanding of the mental processes which take place in students minds when they attempt to predict the outcome of an
3 experiment could help in designing teaching plans aimed at developing links between practical work and school scientific knowledge. METHODS As mentioned above, the aim of present study is to detect secondary education students mental processes when predicting the outcomes of Physics experiments in order to trace their difficulties in predicting the results of experiments. Three Physics experiments were selected, according to the following criteria: (a) They refer to everyday phenomena because it is easier for students to express and explain their views about things they experience, in contrast to unfamiliar situations. (b) The necessary background knowledge for predicting the outcomes of these experiments had been previously taught to students. (c) Their outcomes contradict common sense. Students had to predict the outcomes of the three experiments and also to analytically express on an answer sheet the route their thinking followed in reaching these outcomes. Specifically, students were asked mentally to compare: - The value of the kinetic friction when a box moves onto a horizontal floor in two situations: firstly, with its greatest surface in contact with the floor, and secondly, with its smallest surface in contact with the floor (Figure 1 - Experiment 1). - The time in which an ice cube melts when it is covered by (i) woolen fabric and (ii) aluminum foil (Figure 1 - Experiment 2). - The time of the free fall (from the same height) of two bodies with different masses (Figure 1 - Experiment 3). Specifically, students had to predict the free fall of two similar bottles which contained water, one of which was full, while the other contained only a small quantity of water. Experiment 1 Experiment 2 Experiment 3 Figure 1. The sketches used in the answer sheets, copied from the book Διδάσκοντας Φυσικές Επιστήμες (Teaching Science) (Halkia 2012). The research sample consisted of 86 upper secondary-level students (aged 16-17) from a public school in Athens. A qualitative content analysis of the answer sheets followed. RESULTS The findings of the qualitative content analysis of the students answers are presented in Table1 and they are discussed in detail below.
4 Table 1 Students answers for each experiment. Number of students: 86 Experiment 1: Kinetic friction. Number of students: 25 Category Students Students views They claimed that the friction increases when the area of contact between surfaces increases because the number of the points of contact between the surfaces increases They recognized inertia and not friction as the critical factor which prevents the box from sliding easily along the floor They claimed that they did an experiment on the spot (by using their bag, a box or their sunglasses case) and they experienced more friction when there was more area of contact between the surfaces of the two bodies They just declared (without any explanation or by recalling the relevant formula) that friction is independent of the area of contact between surfaces They recalled the formula of kinetic friction but they said that the friction coefficient depends on the area of contact between surfaces Vague answers Experiment 2: Melting ice cubes. Number of students: 36 Category Students Students views They claimed that the ice cube covered by woolen fabric melts faster because the wool is hotter (or it produces more heat ) than the aluminum foil They recognized thickness or porosity as factors for thermal conductivity and not the kind of the material used They claimed that both ice cubes will melt simultaneously because the cover does not play a role Vague answers Experiment 3: Free fall. Number of students: 25 Category Students Students views They claimed that the heavier body falls faster because it is attracted with a greater force by the Earth They claimed that the bodies fall simultaneously because I know it from physics class or we perform the relevant experiment in physics class. But, They do not give any further explanation He claimed that the heavier body falls faster, since I know that all bodies fall with g, but the air resistance on the heavier is smaller.
5 It seems that the three I s typology can describe the mental processes the students follow when failing to predict the outcomes of the experiments. More analytically: Intuition Intuition and everyday experience lead students to overlook or misrepresent school knowledge. As the findings in Table 1 show students - assign incorrect attributes to materials. This confusion is due to the everyday uses of the materials and students sensory experiences regarding them. For example, a student (Experiment 2, category 2.1) wrote that We use aluminum foil to maintain the temperature of foods, while we use woolen gloves to heat our hands. - use school knowledge as décor and pretext in order to validate their intuition. Indeed, in some cases, students do recall their school knowledge, but they conveniently modify it to predict the outcome of the experiment in accordance with their intuitive knowledge. For example, while students (Experiment 1, category 1.5) recalled the mathematical formula of kinetic friction, they claimed that the friction coefficient depends on the area of contact between surfaces, so as to support their view that more area of contact means more friction. Also, in the cases of categories 1.4 and 3.2, students answered correctly by mechanically recalling their school knowledge, but they could not support their predictions with meaningful explanations. - see what they intuitively believe. Indeed, in the case of category 1.3, students claimed that (in order to see if their spontaneous prediction was right) they actually had done a similar experiment and they had found an outcome that was compatible with their prediction! As White (1996 p.764) comments, People holding different beliefs will see different things. Incompleteness Students make incomplete assumptions when they are called upon to predict phenomena. That is, students focus on one parameter of the problem - the most obvious one - and overlook others which could be critical for predicting the outcome of an experiment. For example, in the case of the Experiment 1 (category 1.1), students take into consideration that the increase of the area of contact between the surface of the box and the surface of the floor results in an increase of the number of the points of contact between the surfaces, but at the same time they overlook the decrease of the vertical (normal) force per unit of the area of contact. Also, students (category 3.1) take into consideration that more mass means more force of gravity, but they overlook the fact that more mass implies more inertia. It is worth mentioning that students who predicted that the body B falls faster than the body A (Figure 2) also claimed (Figure 3), that the two bodies travel equal distances per second. (This is a finding from student interviews which took place in the context of the next phase of the study, which is currently in progress.) w Α m Β 2m 2w Α m F Β 2m 2F Figure 2. Free fall Figure 3. Movement without friction
6 Irrelevancy Students use irrelevant attributes of materials or irrelevant physics laws to predict the outcomes of experiments (e.g. Experiment 2 - category 2.2 or Experiment 1 - category 1.2). In this case, the outcome of an experiment can be predicted correctly, but the explanation is unacceptable because it is not generally applicable, i.e. it leads to incorrect results in other situations. For example, in category 1.2 the result cannot be predicted in the case where two bodies with different masses slide along different surfaces (i.e. if the lighter body slides along a rougher surface than the heavier one). DISCUSSION When predicting the outcome of an experiment, students mentally simulate a kind of experimental process. During the thought experimentation, students tend to use their intuition and experience rather than logical reasoning (Reiner & Gilbert 2000). This is the main factor - as the present study shows which lead students to fail in predicting the outcomes of the experiments and to justify their prediction. Specifically, the findings of this study show that students, when predicting the outcomes of the experiments assign incorrect attributes to materials, make incomplete or irrelevant assumptions and basically use their intuition and everyday experience and not their school knowledge. Also, it is worth mentioning that the students who correctly predicted the result of an experiment by recalling the corresponding school knowledge did not use a meaning making explanation. According to Hodson (1996), the basis of a prediction is some good understanding of the phenomenon or event under consideration and he suggests that without theoretical understanding, predictions are no more than blind guesses, and there is little of educational value in encouraging children to make those. As the findings show, it is not easy for students to correlate their everyday experience with scientific knowledge, and in this direction the contribution of the teacher is decisive (Bruner 1985). According to Abrahams and Millar (2008), teachers should devote a greater proportion of the lesson time to helping students use ideas associated with the phenomena they have produced, rather than seeing the successful production of the phenomenon as an end in itself. Hodson (1996) proposes a three-phase approach for school science: modeling (the teacher presents this phase) guided practice (students work under their teacher s guidance) application (students work independently of their teacher). Thus, the teacher should have a key role in practical work which, apart from the designing of the practical performance of an experiment, should involve the construction of an explanatory schema for helping students to integrate the empirical data to a conceptual context compatible with the scientific one. Such a schema could include: (1) A model of the experimental apparatus. The teacher should provide an as simple as possible representation of the experimental devices for two main reasons. First, to reduce the noise in order to help students focus on the problem itself. For example, in experiment 3, it would have been better to have used compact cubes than bottles because some students integrated in their explanation the water or the air that were contained in the bottles (e.g. the one bottle contains more air and it may delay the fall ). Second, to make it easy for students to quantitatively manipulate the parameters of the problem. For example, students can easily mentally construct bodies of twice or three times mass by using similar compact cubes.
7 (2) Prerequisite prοpositions relative to the attributes of the model s elements, the relations and laws concerning the phenomenon and the possible effect of the external factors. The findings of the present study show that students (when predicting the result of an experiment) assign incorrect attributes to materials and make incomplete or irrelevant assumptions. Thus, it is crucial for learning by doing that the teacher and students have classroom discussions to identify the propositions which are needed for the prediction of the behavior of the physical system being studied. (3) A process of logical reasoning. Students discuss the evolution of the phenomenon based on the prerequisite propositions, and the teacher intervenes when it is needed. (4) Conclusion. Students formulate their conclusions. An example of an explanation schema (as a basis for a teaching plan) is proposed in Table 2. The proposed schema is going to be implemented in the next phase of our work, which is currently in progress. Table 2 Explanation schema for the experiment of kinetic friction Question Model Prerequisite propositions Process of logical reasoning Conclusion Does the kinetic friction depend on the area of contact between the surface of a body and the surface of the floor? Five similar compact wooden cubes, A, B, C, D and E. The body BC consists of the two cubes B and C glued together and the body DE consists of the two cubes D and E glued together (Figure 4). Attributes: (1) BC and DE are identical. (2) All the surfaces of the cubes are identical. (3) Weight BC or Weight DE = 2 Weight A Relations / Laws: (4) Friction depends upon the nature of the surfaces in contact. (5) Friction is proportional to the normal force; thus friction is proportional to the weight of the body (because the floor is horizontal). External factors: (6) The resistance of the air is negligible. (7) Experimental errors are not taken into consideration. (a) Since the area of contact between the surface of body A and the surface of the floor and between the surface of body BC and the surface of the floor are the same, according to (2), (3), (4), (5), we conclude that Friction BC = 2 Friction A. (b) D and A are identical, thus Friction D = Friction A (c) E and A are identical, thus Friction E = Friction A (d) From (b) and (c) we conclude that Friction DE = 2 Friction A (e) From (a) and (d) we conclude that Friction DE = Friction BC From (1) and (e), we conclude that friction is independent of the area of contact between the surface of a body and the surface of the floor.
8 Figure 4. Five identical cubes A, B, C, D, E REFERENCES Abrahams, I. & Millar, R. (2008). Does Practical Work Really Work? A study of the effectiveness of practical work as a teaching and learning method in school science. International Journal of Science Education, 30(14), Bliss, J. (2008). Commonsense reasoning about the physical world. Studies in Science Education. 44(2), Bruner, J. (1985). Vygotsky: A historical and conceptual perspective. In: J. Wertsch (Ed.), Culture, communication and cognition: Vygotskian perspectives, (pp.21-34) Cambridge University Press. Duit, R., Tesch, M. (2010). On the role of experiment in science teaching and learning Visions and the reality of instructional practice. In Kalogiannakis, M., Stavrou, D., & Michaelides P.G. (Eds) Proceedings of the 7 th International Conference Hands-on Science. Bridging the Science and Society gap. Rethymno, Greece. (pp ). University of Crete. Halkia, K. (2012). Διδάσκοντας Φυσικές Επιστήμες (Teaching Science). Athens: Patakis Editions. Hodson, D. (1996). Laboratory work as scientific method: three decades of confusion and distortion. Journal of Curriculum Studies, 28(2), Millar, R. (2004). The role of practical work in the teaching and learning of science. Paper prepared for the Committee: High School Science Laboratories: Role and Vision, National Academy of Science, Washington, DC. Nersessian, N. (1993). In the theoretician s laboratory: Thought experimenting as mental modeling. In D. Hull, M. Forbes, & K. Okruhlik (Eds.), PSA 1992 (Vol. 2, pp ). East Lansing: Philosophy of Science Association. Reiner, M., & Gilbert, J. (2000). Epistemological resources for thought experimentation in science learning. International Journal of Science Education, 22(5), Reiner, M., & Burko, L. (2003). On the limitations of thought experiments in physics and the consequences for physics education. Science & Education, 12, Vygotsky, L.S. (1978). Mind in Society: The Development of Higher Psychological Processes. Cambridge, MA: Harvard University Press.
9 White, R. (1996). The link between the laboratory and learning. International Journal of Science Education. 18(7), White, R., & Gunstone, R. (1992). Probing Understanding. Chapter 3. Falmer Press. London
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