Zavala, G., & Barniol, P. (2013). Students’ understanding of dot product as a projection in no-context, work and electric flux problems. In AIP Conference Proceedings (Vol. 1513, No. 1). American Institute of Physics. American Institute of Physics, Melville NY United States.
 
Zavala and Barniol ran a project investigating students’ understanding of the projection role of the dot product. First they gave three isomorphic problems to a class of physics students, with approximately 140 students seeing each of the three problems. The following semester they interviewed 14 of these students, who solved the three problems (and two more) while thinking aloud. The three problems all involved the same arrangement of vectors requiring the same projection, however one was no-context and the others were in context, namely work and electric flux. The investigation found that the students had a weakly constructed concept of the projection role of the dot product. The students were more likely to answer the question correctly in the contextualised problems than in the no-context problem, however even at best only 39% of the students answered correctly.
 
The authors observe that a majority of the students chose one of the two responses which described scalar quantities, rather than the four other MCQ options which described vector quantities. However in the no-context problem that majority is a disappointingly low 57%. Problematically, I would use the term “projection” differently to Zavala and Barniol, where projection of a vector onto another vector is still a vector, not a scalar quantity. The projection of A onto B in my lexicon is the vector component of A in the direction of B. Zavala and Barniol mean by projection what we elsewhere (Craig and Cleote, 2015) have referred to as “the amount” of A in the direction of B (p. 22) . So, given my definition, there is only one available MCQ option which describes a scalar quantity (option a, a popular incorrect option). I have to assume that the students participating in the study were familiar with the authors’ definition, however, and would have seen that MCQ option as describing a scalar quantity.
 
The authors cite other work reporting students’ difficulties in connecting concepts and formal representations. They see this dot product projection difficulty as part of that more general situation. “In this article we demonstrate that this failure to make connections is very serious with regard to dot product projection’s formal representation” (p. 4).
 
Not much has been written on students’ difficulties with the dot product. It is likely that the computational simplicity of the product masks the conceptual challenge of the geometric interpretation.
 
Do not treat this blog entry as a replacement for reading the paper. This blog post represents the understanding and opinions of Torquetum only and could contain errors, misunderstandings or subjective views.
 van Dyke, F., Malloy, E.J. and Stallings, V. (2014). An activity to encourage writing in mathematics. Canadian Journal of Science, Mathematics and Technology Education, 14(4), 371-387.
 
The authors ran a very interesting study in three stages. The first stage was a short assessment of three MC questions involving the relationships between equations and their representative graphs, the first two only linear, the third linear and quadratic. The questions were quickly answered and easily graded. The second stage was giving summaries of student responses back to the class for discussion (not led by the lecturer). Directly after discussion the students were asked to write about the questions. One group was asked to write about the underlying concepts necessary to answer the questions correctly. The second group was asked to write about why students might have given incorrect answers. These written responses were also evaluated. The third stage of the study was to ask the students to answer a survey (strongly agree/disagree Likert style) testing hypotheses developed during the first two stages. The findings are interesting and point, yet again, to the student tendency to want to do calculations even if the question might not require them - “blind attraction to processes” (p. 379) - and also to the expectation that similar problems should have been encountered before. Interestingly, the students in the second writing group wrote more than those in the first, but did not make many references to actual underlying concepts. The authors stress that if you want students to write or talk about underlying concepts you need to make that explicit.
 
The authors present the design of this study as a way of using writing to encourage reflection without it taking a lot of time or being difficult to grade. I agree and would like to try this myself. Running effective writing assignments in a maths class can be very hard to get right. The authors make reference to cognitive conflict and how resolving a cognitive conflict can lead to cognitive growth. “It is not the intent of this article to explore the efficacy of using writing or conflict resolution in the mathematics classroom but to take that as given …” (p. 373).
 
Do not treat this blog entry as a replacement for reading the paper. This blog post represents the understanding and opinions of Torquetum only and could contain errors, misunderstandings or subjective views.
 Woods, D.R. (2000). An evidence-based strategy for problem solving. Journal of Engineering Education, 89(4), 443-459.
 
The author lists 150 published problem solving strategies, although he complains that few are based in research. In an appendix after the (huge number of) references, he briefly gives each of those strategies. The author finds many similarities between the strategies, such as “understand the problem” and “verify your answer”. The strategies vary in number of stages, but it is usually between two and seven. Some have mnemonics, some draw analogies. The author describes careful criteria for an effective problem solving strategy, such as “If possible, none of the stages should include titles describing a skill or attitude … since that skill or attitude could be used in many different stages” (p. 444). He warns against encouraging a linear mindset towards the strategy, by, for instance, numbering the steps, or giving them in an obvious sequence. The author present a strategy represented on a disc, rather than linearly, with six stages, each carefully described. The strategy was based on the literature, trialled on expert practitioners and refined over years of student use.
 
Do not treat this blog entry as a replacement for reading the paper. This blog post represents the understanding and opinions of Torquetum only and could contain errors, misunderstandings or subjective views.
 Jonassen, D., Stroble, J. & Beng Lee, C. (2006). Everyday problem solving in engineering: lessons for engineering educators. Journal of Engineering Education, 95(2), 139-151.
 
This is quite a lengthy paper which I shall summarise very briefly. The authors disagree (as many do) with the notion that students can transfer problem solving techniques from typical classroom problems (word problems, usually) to workplace problems, which are ill-structured. They conducted interviews with approximately 90 professional engineers about problems they had encountered and how they had solved them. The authors develop 12 themes which emerged from the interviews, such as “most constraints are non-engineering” and “Engineers primarily reply on experiential knowledge”. The authors close with suggestions for education, such as using PBL (problem based learning). This requires huge commitment from staff and wide ranging reform, however, and can be hard to achieve. Other than that they give suggestions on how to make classroom activities more like workplace situations.
 
Do not treat this blog entry as a replacement for reading the paper. This blog post represents the understanding and opinions of Torquetum only and could contain errors, misunderstandings or subjective views.

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