PPT-Teaching Quantitative Reasoning

Presented by Dr John Willems Sponsored by the Committee for the Assessment of Student Learning CASL How does EIU measure up CLA RESULTS Quantitative Reasoning In AY 2018 CASL administered the CLA exam to 84 freshmen and 89 senior students The mean score in quantitative reasoning for EIU freshmen was 67 points lower than the National Average for freshmen while the mean scores for EIU seniors was 27 points lower than the National Average for seniors Although there is a much larger gain of 87 made by EIU seniors than the National Average gain of 47 EIU seniors still graduate with significantly less skill in this area than the national average . - Charles Sanders Peirce. Using Models of Reasoning. A Return to Logos. Reasoning from Specific Instances. Progressing from a number of particular facts to a general conclusion. .. This is also known as inductive reasoning.. Michael Santoro,. Queens College English Department. Introduction to Quantitative Formalism. “’Distant reading’, I have once called this type of approach; where distance is however not an obstacle, but a specific form of knowledge…” . Rebecca Wulf. Ivy Tech Lafayette. rwulf@ivytech.edu. . Ben Markham. Ivy Tech Bloomington. bmarkham@ivytech.edu. . Sharon Koch. Ivy Tech Gary. s. koch12@ivytech.edu. . Ivy Tech Community College. 30 . Research in Education. Sohee Kang. Ph.D. , . l. ecturer . Math . and . Statistics . Learning . Centre. Outline. Analyzing Educational Research Data. Collecting data. Using R (R commander) for describing and testing hypotheses. Dr. Andrea . Abbas. . aabbas@lincoln.ac.uk. Dr Julian . Beckton. jbeckton@lincoln.ac.uk. Aims of Session. To consider what counts as acceptable qualitative and quantitative research in different disciplines (similarities and differences) and reflect on how you currently position yourselves. Slide #. 1. Bivariate EDA. Describe the . relationship between pairs of . variables. Four characteristics to describe. Association (Direction). Form. Outliers. Strength. Quantitative Bivariate EDA. Slide #. Teaching . Probability and Decision Theory in . Foundations . of Logical . Reasoning. Quantitative Literacy in Philosophy. [. Quantitative literacy] requires logic, data analysis, and probability….It enables individuals to analyze evidence, to read graphs, to understand logical arguments, to detect logical fallacies, to understand evidence, and to evaluate risks. Quantitative literacy means knowing how to reason and how to think. . Slide #. 1. Univariate EDA. Purpose – describe the distribution. Distribution . is concerned with what values a variable takes and how often it takes each value. Quantitative vs. . Categorical. Do . Imaging Biomarkers Alliance (. QIBA. ®. ) . Edward F. Jackson, PhD – Chair, QIBA. Professor and Chair, Department of Medical Physics. University of Wisconsin School of Medicine & Public Health. Development Part III. Kohlberg’s theory of moral development. Criticisms of Kohlberg’s theory. Recent contributions of social psychology and neuroscience to understanding moral judgment. Baby morality. A Faculty-Led Project for. Curriculum Alignment and Streamlining of . Quantitative Requirements at Community Colleges. Panelists:. Alexandra W. Logue, CASE, Graduate Center. Mari Watanabe-Rose, Central Office of Academic Affairs. Stanley Pogrow. stanpogrow@att.net. Professor of Educational Leadership and Equity at San Francisco State University, Professor Emeritus at the University of Arizona, and visiting endowed chairs at USC and Seattle University. . - Charles Sanders Peirce. On the Radar. Researching the Persuasive Speech Assignment. Due Wednesday on . WebCT. (by 11:59 p.m.). Exam Two. This Friday in Lecture. Study Guide on Course Website. Workshops for the Persuasive Speech. QIBA. ®. ) . Edward F. Jackson, PhD – Chair, QIBA. Professor and Chair, Department of Medical Physics. University of Wisconsin School of Medicine & Public Health. July 22, 2016. Part I. Biomarkers.