The main issue in this study is how students conceptualise mathematical learning in the context of calculus with specific reference to the chain rule. The study focuses on how students use the chain rule in finding derivatives of composite functions (including trigonometric ones). The study was based on the APOS (Action-Process-Objects-Schema) approach in exploring conceptual understanding displayed by first year University of Technology students in learning the chain rule in calculus. The study consisted of two phases, both using a qualitative approach. Phase 1 was the pilot study which involved collection of data via questionnaires which were administered to 23 previous semester students of known ability, willing to participate in the study. The questionnaire was then administered to 30 volunteering first year students in Phase 2. A structured way to describe an individual student's understanding of the chain rule was developed and applied to analyzing the evolution of that understanding for each of the 30 first year students. Various methods of data collection were used namely: (1) classroom observations, (2) open-ended questionnaire, (3) semi-structured and unstructured interviews, (4) video-recordings, and (5) written class work, tests and exercises. The research done indicates that it is essential for instructional design to accommodate multiple ways of function representation to enable students to make connections and have a deeper understanding of the concept of the chain rule. Learning activities should include tasks that demand all three techniques, Straight form technique, Link form technique and Leibniz form technique, to cater for the variation in learner preferences. It is believed that the APOS paradigm using selected activities brought the students to the point of being better able to understand the chain rule and informed the teaching strategies for this concept. In this way, it is believed that this conceptualization will enable the formulation of schema of the chain rule which can be applied to a wider range of contexts in calculus. There is a need to establish a conceptual basis that allows construction of a schema of the chain rule. The understanding of the concept with skills can then be augmented by instructional design based on the modified genetic decomposition. This will then subject students to a better understanding of the chain rule and hence more of calculus and its applications. / Thesis (Ph.D.)-University of KwaZulu-Natal, Edgewood, 2011.

It is common for students to make mistakes while solving mathematical problems. Some of these mistakes might be caused by the false ideas, or misconceptions, that students developed during their learning or from their practice. Calculus courses at the undergraduate level are mandatory for several majors. The introductory course of calculus—Calculus I—requires fundamental skills. Such skills can prepare a student for higher-level calculus courses, additional higher-division mathematics courses, and/or related disciplines that require comprehensive understanding of calculus concepts. Nevertheless, conceptual misunderstandings of undergraduate students exist universally in learning calculus. Understanding the nature of and reasons for how and why students developed their conceptual misunderstandings—misconceptions—can assist a calculus educator in implementing effective strategies to help students recognize or correct their misconceptions. For this purpose, the current study was designed to examine students’ misconceptions in order to explore the nature of and reasons for how and why they developed their misconceptions through their thought process. The study instrument—Calculus Problem-Solving Tasks (CPSTs)—was originally created for understanding the issues that students had in learning calculus concepts; it features a set of 17 open-ended, non-routine calculus problem-solving tasks that check students’ conceptual understanding. The content focus of these tasks was pertinent to the issues undergraduate students encounter in learning the function concept and the concepts of limit, tangent, and differentiation that scholars have subsequently addressed. Semi-structured interviews with 13 mathematics college faculty were conducted to verify content validity of CPSTs and to identify misconceptions a student might exhibit when solving these tasks. The interview results were analyzed using a standard qualitative coding methodology. The instrument was finalized and developed based on faculty’s perspectives about misconceptions for each problem presented in the CPSTs. The researcher used a qualitative methodology to design the research and a purposive sampling technique to select participants for the study. The qualitative means were helpful in collecting three sets of data: one from the semi-structured college faculty interviews; one from students’ explanations to their solutions; and the other one from semi-structured student interviews. In addition, the researcher administered two surveys (Faculty Demographic Survey for college faculty participants and Student Demographic Survey for student participants) to learn about participants’ background information and used that as evidence of the qualitative data’s reliability. The semantic analysis techniques allowed the researcher to analyze descriptions of faculty’s and students’ explanations for their solutions. Bar graphs and frequency distribution tables were presented to identify students who incorrectly solved each problem in the CPSTs. Seventeen undergraduate students from one northeastern university who had taken the first course of calculus at the undergraduate level solved the CPSTs. Students’ solutions were labeled according to three categories: CA (correct answer), ICA (incorrect answer), and NA (no answer); the researcher organized these categories using bar graphs and frequency distribution tables. The explanations students provided in their solutions were analyzed to isolate misconceptions from mistakes; then the analysis results were used to develop student interview questions and to justify selection of students for interviews. All participants exhibited some misconceptions and substantial mistakes other than misconceptions in their solutions and were invited to be interviewed. Five out of the 17 participants who majored in mathematics participated in individual semi-structured interviews. The analysis of the interview data served to confirm their misconceptions and identify their thought process in problem solving. Coding analysis was used to develop theories associated with the results from both college faculty and student interviews as well as the explanations students gave in solving problems. The coding was done in three stages: the first, or initial coding, identified the mistakes; the second, or focused coding, separated misconceptions from mistakes; and the third elucidated students’ thought processes to trace their cognitive obstacles in problem solving. Regarding analysis of student interviews, common patterns from students’ cognitive conflicts in problem solving were derived semantically from their thought process to explain how and why students developed the misconceptions that underlay their mistakes. The nature of how students solved problems and the reasons for their misconceptions were self-directed and controlled by their memories of concept images and algorithmic procedures. Students seemed to lack conceptual understanding of the calculus concepts discussed in the current study in that they solved conceptual problems as they would solve procedural problems by relying on fallacious memorization and familiarity. Meanwhile, students have not mastered the basic capacity to generalize and abstract; a majority of them failed to translate the semantics and transliterate mathematical notations within the problem context and were unable to synthesize the information appropriately to solve problems.

The purposes of the study were: to determine the relationship between class size and academic achievement among university students in first-semester calculus classes, and to compare opinions about the instructor, course, and classroom learning environment of university students in small first-semester calculus classes with those in large classes. The sample consisted of 225 university students distributed among two large and two small sections of first-semester calculus classes taught at the University of Texas at Arlington during the fall of 1987. Each of two tenured faculty members taught a large and small section of approximately 85 and 27 students, respectively. During the first week of the semester, scores from the Calculus Readiness Test (CR) were obtained from the sample and used as the covariate in each analysis of covariance of four periodic tests, a comprehensive final examination, and final grade average. The CR scores were also used in a logistic regression analysis of attrition rates between each pair of large and small sections of first-semester calculus. Three semantic differentials were used to test the hypotheses relating to student opinion of the instructor, course, and classroom learning environment. It was found that for both pairs of large and small first-semester calculus classes there was no significant difference in the adjusted means for each of the four periodic tests, the final examination scores, the final grade averages, and the attrition rates. It was also found that the means of the student evaluation of the course by students in small and large classes were not significantly different, and the results of the student evaluations of the instructor and classroom learning environment by students in small and large first—semester calculus classes were mixed.

In recent years, Science, Technology, Engineering, and Technology (STEM) talent pool has re-emerged as a national priority. Certain racial and ethnic groups are dramatically underrepresented in STEM careers and STEM educational programs, an especially serious concern given demographic transitions underway in the United States. The College Board's Advanced Placement (AP) Calculus program provides one way in which students can gain exposure to college-level mathematics while still in high school. This study analyzed factors that contribute to the success of minority students in AP Calculus using a large, longitudinal (2007-2012), geographically distributed dataset which included important school-level variables and AP scores for 10 urban school districts. Descriptive statistics show that AP success in general and minority success in AP Calculus specifically are unevenly distributed across the dataset. A very small number of schools and school districts account for the majority of the production of passing scores on AP exams. Results from multi- variate regression and multi-level growth modeling demonstrate that school size and academic emphasis on a school level constitute important predictors of success for Black and Hispanic students in AP Calculus. The very narrow distribution of AP success across schools and school districts suggests that a specific set of school-level policies and practices are likely to be highly effective in leveraging these two predictors.

It was the purpose of this design study to explore the Geometer’s Sketchpad dynamic mathematics software as a tool to model the derivative in introductory calculus in a manner that would foster a deeper conceptual understanding of the concept – developing domain specific understanding. Sketchpad’s transformation capabilities have been proved useful in the exploration of mathematical concepts by younger learners, college students and professors. The prospect of an open-ended exploration of mathematical concepts motivated the author to pursue the possibility of representing the concept of derivative in dynamic forms. Contemporary CAS studies have predominantly dwelt on static algebraic, graphical and numeric representations and the connections that students are expected to make between them. The dynamic features of Sketchpad and such like software, have not been elaborately examined in so far as they have the potential to bridge the gap between actions, processes and concepts on the one hand and between representations on the other. In this study Sketchpad model-eliciting activities were designed, piloted and revised before a final implementation phase with undergraduate non-math major science students enrolled for an introductory calculus course. Although most of these students had some pre-calculus and calculus background, their performance in the introductory course remained dismal and their grasp of the derivative slippery. The dual meaning of the derivative as the instantaneous rate of change and as the rate of change function was modeled in Sketchpad’s multiple representational capabilities. Six forms of representation were identified: static symbolic, static graphic, static numeric, dynamic graphic, dynamic numeric and occasionally dynamic symbolic. The activities enabled students to establish conceptual links between these representations. Students were able to switch systematically from one form of (foreground or background) representation to another leading to a unique qualitative understanding of the derivative as the invariant concept across the representations. Experimental students scored significantly higher in the posttest than in the pretest. However, in comparison with control group students the experimental students performed significantly better than control students in non-routine problems. A cyclical model of developing a deeper concept image of the derivative is therefore proposed in this study. / Educational Studies / D. Ed. (Education)

Orientador: João Frederico da Costa Azevedo Meyer / Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Educação / Made available in DSpace on 2018-08-11T02:52:29Z (GMT). No. of bitstreams: 1 Machado_RosaMaria_D.pdf: 3367118 bytes, checksum: b77aa02d12be829dfb0764fd79481758 (MD5) Previous issue date: 2008 / Resumo: São escassos os estudos a respeito da utilização da ferramenta computacional no ensino do Cálculo Diferencial e Integral nas universidades brasileiras. Contudo, em países como a Grã-Bretanha, Estados Unidos, Alemanha, México, Espanha, Colômbia e Venezuela, esses estudos estão bastante avançados, apresentando inclusive avaliações sobre o uso dessas tecnologias (calculadoras gráficas e numéricas, vídeos e softwares) nos cursos de graduação. Procurando atender essa demanda, o presente estudo tem por objetivos analisar a contribuição de um aplicativo educacional na resolução de problemas que extrapolam o cálculo funcional na disciplina do Cálculo Diferencial e Integral; enfatizar a necessidade, a importância e o resultado da utilização dessa ferramenta, que não devem ser tratados apenas com lápis e papel; analisar por meio de tarefas realizadas, o conhecimento matemático adquirido a partir da visualização e da representação visual descritas pelos estudantes. A pesquisa investigou como a visualização das representações gráficas produzidas pela ferramenta computacional MPP contribuiu no aprendizado do Cálculo Diferencial e Integral de estudantes ingressantes no curso de Química da Unicamp. Para tanto foi desenvolvido estudo, com enfoque qualitativo, no qual foram investigados nove alunos. A primeira etapa do estudo refere-se à verificação do conhecimento prévio de função real de uma variável real de cada estudante no Vestibular Nacional da Unicamp das 1a e 2a fases em determinadas questões. A segunda etapa do estudo analisou as atividades propostas especificamente para serem solucionadas com o auxilio da ferramenta computacional de domínio público Mathematic Plotting Package- MPP. Essa ferramenta possibilitou a solução e a visualização gráfica e numérica dos problemas de Cálculo Diferencial e Integral de forma rápida, prática e eficiente. A análise mostra uma alternativa viável e eficaz para o ensino de Cálculo nos cursos de graduação / Abstract: Rarely brazilian universities study computational tool to teach of Calculus. However, in countries like United Kingdom, United States of America, Germany, Mexico, Spain, Colombia and Venezuela, these studies are very advanced, showing includes assessments about of these technologies (graphical and numerical calculators, videos and software) in the undergraduate. Intending to answer this demand, this study have to goal analyses the contribution of a educational software to solve problems that cross limits of the functional Calculus, emphasizes the necessity, the importance and the result of the utilization of this tool, that should not be treated only with pencil and paper; to analyses through realized activities, the acquired mathematical knowledge throughout of visualization and visual representation described by students. The research has investigated how the visualization of graphics representations produced by computational tool MPP contributed on learning of Calculus of entering Chemistry students at Unicamp. Although a study was developed, with qualitative focus, witch was investigated nine students. The first step of study which means the verification of previously knowledge's real function of a real variable of each student in the Unicamp¿s National Selection Exam from first and second phases in determinated questions. The second step has analyzed the proposed activities specific to be solved with auxiliary of freeware computational tool Mathematic Plotting Package-MPP. This tool has allowed the graphic and numerical visualization and solve Calculus problems in a quickly, practical and efficient form. The analyses shows a viable and capable alternative to Calculus teach undergraduate / Doutorado / Educação Matematica / Doutor em Educação

The purposes of this study were (a) to develop, implement, and evaluate a computer-oriented instructional program for introductory calculus students, and (b) to explore the association between a computer-oriented calculus instructional program, a non-computer-oriented calculus instructional program, student achievement on three selected calculus topics, and student attitude toward mathematics. An experimental study was conducted with two groups of introductory calculus students during the Spring Semester, 1989. The computer-oriented group consisted of 32 students who were taught using microcomputer calculus software for in-class presentations and homework assignments. The noncomputer-oriented group consisted of 40 students who were taught in a traditional setting with no microcomputer intervention. Each of three experimenter-developed achievement examinations was administered in a pretest/posttest format with the pretest scores being used both as a covariate and in determining the two levels of student prior knowledge of the topic. For attitude toward mathematics, the Aiken-Dreger Revised Math Attitude Scale was administered in a pretest/ posttest format with the pretest scores being used as a covariate. Students were also administered the MAA Calculus Readiness Test to determine two levels of calculus prerequisite skill mastery. An ANCOVA for achievement and attitude toward mathematics was performed by treatment, level, and interaction of treatment and level. Using a .05 level of significance, there was no significant difference in treatments, levels of prior knowledge of topic, nor interaction when achievement was measured by each of the three achievement examination posttests. Furthermore, there was no significant difference between treatments, levels of student prerequisite skill mastery, and interaction when attitude toward mathematics was measured, at the .05 level of significance. It was concluded that the use of the microcomputer in introductory calculus instruction does not significantly effect either student achievement in calculus or student attitude toward mathematics.

The purpose of this dissertation was to investigate the relationship between the Advanced Placement Calculus AB exam and student achievement in college level Math 1710-Calculus I. The review of literature shows that this possible relationship is based on Alexander Astin's longitudinal input-environment-outcome (I-E-O) model. The I-E-O model was used to analyze the relationship between the input and outcome of the two variables. In addition, this quantitative study determined the relationship between a score of 3 or lower on the Advanced Placement Calculus AB exam and student achievement in college level Math 1710-Calculus I. The sample population of this study contained 91 students from various high schools in Texas. Spearman's rank correlation revealed there was a statistically significant relationship between Advanced Placement Calculus AB exam scores and final grades in Math 1710-Calculus I.

This study was prompted by serious problems regarding specific teaching and learning problems in calculus at the technikon. The general aims were to identify and analyze particular teaching and learning problems relating to 2nd level engineering courses in calculus and to recommend improvements which could increase student performance in engineering calculus courses. An extensive study revealed world wide concern in calculus reform. The empirical research instruments consisted of structured questionnaires given to staff and students from nine technikons plus interviews. Five serious problem areas were identified: student ability in mathematics, content difficulty, background difficulties, timetable pressures and lecturer's presentation. The impact of training technology on calculus was investigated. Recommendations were that routine exercises can be done on computer with extra tutorial time for computer laboratory projects. Background recommendations suggested that schools give more time to trigonometry and coordinate geometry and that bridging courses at technikons for weaker students be developed. / Curriculum and Instructional Studies / M. Ed. (Didactics)

This study was prompted by serious problems regarding specific teaching and learning problems in calculus at the technikon. The general aims were to identify and analyze particular teaching and learning problems relating to 2nd level engineering courses in calculus and to recommend improvements which could increase student performance in engineering calculus courses. An extensive study revealed world wide concern in calculus reform. The empirical research instruments consisted of structured questionnaires given to staff and students from nine technikons plus interviews. Five serious problem areas were identified: student ability in mathematics, content difficulty, background difficulties, timetable pressures and lecturer's presentation. The impact of training technology on calculus was investigated. Recommendations were that routine exercises can be done on computer with extra tutorial time for computer laboratory projects. Background recommendations suggested that schools give more time to trigonometry and coordinate geometry and that bridging courses at technikons for weaker students be developed. / Curriculum and Instructional Studies / M. Ed. (Didactics)