1,720,956 research outputs found
An Inductive Reasoning Strategy with Cloud-Based Symbolic Mathematics Software to Improve Undergraduates’ Mathematical Knowledge
Get PDFMathematics involves thinking and reasoning, both of which should be emphasized to improve students’ knowledge and abilities. The main aim of this study was to examine undergraduate students’ conceptual and procedural mathematical knowledge after exposure to software-embedded inductive reasoning strategy in cloud-based environments. Purposive sampling techniques were used to select participants—60 undergraduate students enrolled in the Ordinary Differential Equations (ODEs) course. A quasi-experimental approach using a post-test control group was adopted for the study. Research instruments included a test of mathematical knowledge and an inductive reasoning strategy with cloud-based symbolic mathematics software. The data were analyzed using a quantitative approach involving mean, standard deviation, and a t-test. The results revealed that the mathematical knowledge of the experimental group statistically exceeded the 60% criteria at the 0.05 significance level. The mathematical knowledge of students in the experimental group was significantly better than that of the control group at a statistically significant level of 0.05. The results of this study imply that incorporating cloud tools as part of the inductive reasoning strategy had a positive impact on students’ mathematical knowledge
Effect of Model-Eliciting Activities using Cloud Technology on the Mathematical Problem-Solving Ability of Undergraduate Students
No full textProblem-solving is considered as an important skill for learning Mathematics. Integration of cloud technology into Model-Eliciting Activities (MEAs) has been considered as an instructional approach to study students’ mathematical problemsolving abilities. The purposes of this study were to evaluate the suitability of the MEAs using cloud technology, and assess the mathematical problem-solving ability of undergraduate students learning the proposed model compared with the criteria of 50%. The participants were 50 undergraduate students who were enrolled on Numerical Analysis courses, selected by using a purposive sampling technique. We conducted quasi-experiments using a one-group design to determine the impact of the model on students and assessed whether the students had exceeded the criterion for mathematical problem-solving ability. The research instruments were instructional plans of the MEAs using cloud technology, a suitability assessment form, and a mathematical problem-solving test. The data were analysed quantitatively using descriptive statistics such as mean and standard deviation, and a t-test. The findings revealed that 5 experts evaluated the model as being “most suitable”, and that the mathematical problem-solving ability of the undergraduate students exceeded the criterion of 50% at a .05 level of statistical significance. The students displayed satisfactory competence in implementing key mathematical concepts to solve problems
The effects of using flipped cloud learning with advancing mathematıcal thinking approaches on undergraduate students’ mathematical critical thinking
Get PDFThe flipped learning approach of instruction sees classroom lectures moved outside of classrooms through devices and technology. Homework is moved inside classrooms as learning activities. Due to the COVID-19 outbreak, cloud-based education platforms - the organization of the educational environment in the cloud as a tool to enable teaching and learning - have been widely deployed to support online instruction. In this study, flipped cloud learning, incorporating approach of advancing mathematical thinking, were conducted in Mathematical Analysis course to study students’ mathematical critical thinking. A quantitative method, using a pre-test-post-test design, was employed with a group of 56 undergraduate mathematics students. The research instrument was a mathematical critical thinking ability test. The quantitative data were analyzed using the descriptive analysis, n-gain and t-test. The findings revealed that students had statistically significant mathematical critical thinking of higher than 60% of the full score at the .05 level. There was an increase in students’ mathematical critical thinking abilities with a mean n-gain of .64, which was moderate. The findings also show that the students’ mathematical critical thinking was significantly enhanced by this approach at .05 level. Thus, it could be summarized that integrating strategy for advancing mathematical thinking into flipped cloud learning positively affected students’ mathematical critical thinking. The results also suggest that this reformed learning approach might be usefully employed as an instruction model in the new normal context
Enhancement of Mathematical Conceptual Understanding in a Cloud Learning Environment for Undergraduate Students
Get PDFMathematical conceptual understanding is fundamental ability that students should have for learning practice in mathematics. This study presents a learning approach based on a mathematical understanding development strategy in the cloud learning environment to enhance undergraduate students’ comprehension of mathematical concepts. A quasi-experimental design with a pre-test and post-test control group was deployed in this study. The 56 undergraduate students, enrolled in the Number Theory Course, were involved in this study. The 28 students in the experimental group were taught using a mathematical understanding development strategy in a cloud learning environment and the 28 students in the control group were taught using a conventional approach. The research instruments were an instructional plan, and a mathematical conceptual understanding test. Data were analyzed by mean, standard deviation, and t-test. The results found that the mean score of mathematical conceptual understanding of students in the experimental group was higher than the 60 percent criterion. There were statistically significant differences between the mean scores of the students in the experimental and the control groups in their mathematical conceptual understanding in the post-test in favor of the experimental group at a significance level of .05.The results of this study inform the positive impact of learning approach based on a mathematical understanding development strategy in a cloud learning environment for undergraduate students
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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