SHAPING TODAY THOSE WHO WILL SHAPE TOMORROW. Differentiation in Higher Education: Does a Background in Economics improve performance? Dr Chris Jones &

Slides:



Advertisements
Similar presentations
Stephen C. Court Presented at
Advertisements

IB Economics & General Economics Course Outlines Mrs. K.Balan.
CLEVELAND STATE REDESIGN Karen Wyrick, Cleveland State Community College Introducing a Remedial Program that Actually Works - The Chronicle of Higher Education.
3 Developmental Math Courses Basic Math, Elementary Algebra, Intermediate Algebra 6 College Level Math Courses College Algebra, Statistics, Finite Math.
Division of Domestic Labour and Women s Human Capital ESRC Gender Equality Network Project 4: Gender, Time Allocation and the Wage Gap Jonathan Gershuny.
Evaluation of Education Maintenance Allowance Pilots Sue Middleton - CRSP Carl Emmerson - IFS.
The educational gender gap, catch up and labour market performance Martyn Andrews (University of Manchester), Steve Bradley, Dave Stott & Jim Taylor (Lancaster.
Conducted for: Conducted by: December Method Nationwide telephone survey of households Household members age 6+ enumerated Data on tennis participation.
World-class Standards World Class Education Standards (WCES) are those standards that, when implemented through quality instruction and content, prepare.
DUAL CREDIT PROGRAM 2009/2010 Pilot. Dual-Credit Objectives Develop a model that is highly coordinated and can be duplicated Create access for high school.
Academic Excellence Indicator System (AEIS) Report Presented to ACISD Board of Trustees 12/17/2009 ARANSAS COUNTY ISD – A TEA RECOGNIZED SCHOOL.
DEVELOPMENTAL MATH Changing Student Outcomes with Adaptive Learning Technologies LaVerne W. Ellerbe August 3, 2011.
ECTS grade system in the curricula of Ruse University Principal Assist. Dr Desislava Atanasova.
401(k) Participant Behavior in a Volatile Economy Prepared for the 14 th Annual RRC Conference, August 2, 2012 by Barbara Butrica and Karen Smith 1.
STATE TEST DATA SPRING 2012 Report to SSD School Board.
Teacher Effectiveness in Urban Schools Richard Buddin & Gema Zamarro IES Research Conference, June 2010.
Slide 1 © 2002 McGraw-Hill Australia, PPTs t/a Introductory Mathematics & Statistics for Business 4e by John S. Croucher 1 Introductory Mathematics & Statistics.
Introduction to statistics. Statistics n Plays an important role in many facets of human endeavour n Occurs remarkably frequently in our everyday lives.
Presented by Ogbonnaya “John” Nwoha, Rosemary Mokia, & Bilal Dia ERCBEC Conference Myrtle Beach, SC, Oct , 2009.
Law School. Coventry University Law School The Role of a Bespoke Law Foundation Programme in Widening Access Beverley Steventon Jane Wood.
According to the Statistical Yearbook for 2010, in 2008/09 year, only 41% of the total number of children in Serbia, aged between 0 and 7 years, were enrolled.
TrygFonden’s Centre for Child Research AARHUS DECEMBER 12, 2014 Your Move: The Effect of Chess on Math Test Scores Kamilla Gumede Michael Rosholm.
Using State Longitudinal Data Systems for Education Policy Research : The NC Experience Helen F. Ladd CALDER and Duke University Caldercenter.org
MATH ASSESSMENT TEST OCMA May, HISTORY OF MAT Test originally developed in late 60’s.
Technology In and Out of the Classroom: The Effect of Online Learning on Student Performance Jodi N. Beggs Economists Do It With Models 7th Annual Economics.
BACKGROUND RESEARCH QUESTIONS  Does the time parents spend with children differ according to parents’ occupation?  Do occupational differences remain.
The Characteristics of Employed Female Caregivers and their Work Experience History Sheri Sharareh Craig Alfred O. Gottschalck U.S. Census Bureau Housing.
Introducing Data to History Students A. Michelle Edwards, Ph.D. University of Guelph.
Chapter 15 Panel Data Analysis.
Special Education Teacher Quality and Student Achievement Li Feng Tim R. Sass Dept. of Finance & Econ.Dept. of Economics Texas State UniversityFlorida.
Psyc 235: Introduction to Statistics
School meals and child outcomes in India Farzana Afridi, Delhi School of Economics IGC-ISI Conference, 20 th – 21 st December, 2010.
Descriptive Research Spending major dollars, expecting major results.
1 Unemployment Compensation and the Risk of Unemployment The Case of Argentina Ana Lucía Iturriza ( ARGENTINA ) JJ/WBGSP Institute of Social Studies, 2005.
Dr. Laura Dawson Ullrich March 27,  Grade Point Average  Requirement varies, but most require a GPA of greater than 2.75  GRE/GMAT  Focus is.
Different Skills? Identifying Differentially Effective Teachers of English Language Learners Ben Master, Susanna Loeb, Camille Whitney, James Wyckoff 5.
-- Preliminary, Do Not Quote Without Permission -- VALUE-ADDED MODELS AND THE MEASUREMENT OF TEACHER QUALITY Douglas HarrisTim R. Sass Dept. of Ed. LeadershipDept.
IMPORTANT TERMS u RSCH 7100 u Educational Research.
A Longitudinal Analysis of the College Transfer Pathway at McMaster Karen Menard Ying Liu Jin Zhang Marzena Kielar Office of Institutional Research and.
Evaluating Creative Partnerships Presentation to the Cultural Competencies Conference, Warsaw, July 2011 Caroline Sharp, National Foundation for Educational.
Microeconometrics Aneta Dzik-Walczak 2014/2015. Microeconometrics  Classes: STATA, OLS Instrumental Variable Estimation Panel Data Analysis (RE, FE)
Transition, Engagement and Retention of First Year Computing Students Heather Sayers Mairin Nicell Anne Hinds.
Gender, math and equality of opportunities Marina Murat Giulia Pirani University of Modena and Reggio Emilia Productivity, Investment.
Early Selection in Hungary A Possible Cause of High Educational Inequality Daniel Horn research fellow Institute of Economics, Hungarian Academy of Sciences.
Does Formative Feedback Help or Hinder Students? An Empirical Investigation 2015 DEE Conference Carlos Cortinhas, University of Exeter.
Special Education Teacher Quality and Student Achievement Li Feng Tim R. Sass Dept. of Finance & Econ.Dept. of Economics Texas State UniversityFlorida.
The Importance of Key Financial Concepts as Identified by Secondary Students Academy of Business Research Conference – September 13, 2011 Dr. Geana W.
EE325 Introductory Econometrics1 Welcome to EE325 Introductory Econometrics Introduction Why study Econometrics? What is Econometrics? Methodology of Econometrics.
Bring History to Life in Your Classroom Heather Balsley and Krissy Schleicher and Institute participant.
Implications of Mediated Instruction to Remote Learning in Mathematics Joy L. Matthews-López Educational Testing Service Sergio R. López-Permouth David.
History of Mathematics Introduction to Course. History in the Mathematics Classroom Where did mathematics come from? Has arithmetic always worked the.
EFFECTS OF HOUSEHOLD LIFE CYCLE CHANGES ON TRAVEL BEHAVIOR EVIDENCE FROM MICHIGAN STATEWIDE HOUSEHOLD TRAVEL SURVEYS 13th TRB National Transportation Planning.
Chap 1-1 Chapter 1 Introduction and Data Collection Business Statistics.
Fraser TEACH © 2011 McGraw- Hill Higher Education. All rights reserved. Chapter 2 Good Teaching: What Is Its Impact?
Over-skilling and Over- education Peter J Sloane, Director, WELMERC, School of Business and Economics, Swansea University, IZA, Bonn and University of.
Developments in Economics Education Conference MBA students and threshold concepts in Economics Dr Keith Gray, Peri Yavash & Dr Mark Bailey* Coventry University.
1 Schools That Operate in Difficult Contexts: Sinking and Struggling National Research University – Higher School of Economics Moscow Sergey Kosarezky.
Statistics for the Social Sciences Psychology 340 Spring 2010 Introductions & Review of some basic research methods.
Economic and team performance data have different effects on different elements of ticket demand Unemployment is a strong predictor of attendance but not.
Cubing Rae Pitchford Spring, Differentiated Instruction “Differentiation is simply attending to the learning needs of a particular student or small.
Sources of Increasing Differential Mortality among the Aged by Socioeconomic Status Barry Bosworth, Gary Burtless and Kan Zhang T HE B ROOKINGS I NSTITUTION.
Introduction and Data Collection Basic Business Statistics 10 th Edition.
LESSON 5 - STATISTICS & RESEARCH STATISTICS – USE OF MATH TO ORGANIZE, SUMMARIZE, AND INTERPRET DATA.
Undergraduate Student Persistence & Graduation advisor UI/WSU Advising Symposium September 9, 2011 Joel Michalski, Ph.D. Candidate & Karla Makus, Academic.
MATH 2311 Section 8.3.
Research Problem: High D/W/F rates in undergraduate introductory biology. Indicates a basic lack of biological literacy Loss of students from the biology.
Lecture 1 Basic Econometrics Rifai Afin SE, MSc.
Dr. Lorraine Harbison1 Dr. Joseph Harbison2
Introductory Econometrics
Physics 101: Lecture 29 Exam Results & Review
Presentation transcript:

SHAPING TODAY THOSE WHO WILL SHAPE TOMORROW

Differentiation in Higher Education: Does a Background in Economics improve performance? Dr Chris Jones & Anne Wheeler LSE: Developments in Economics Education Conference Tuesday 6 th September 2011

Introduction & Background Objective of paper: Does past study in Economics and Math's improve exam performance for students who do a 1 st year undergraduate module? This is a large module 400+ students. 10 Credits, 20 hours of lectures and 5 hours of classes. If past study of Economics improves performance should pedagogy be differentiated by streaming students by ability? This is controversial at Secondary level – have people ever considered it for Higher Education?

Literature Carol Tomlinsons definitions of differentiation: Differentiation is simply attending to the learning needs of a particular student or small group of students rather then the more typical pattern of teaching the class as though all individuals are the same There is almost no literature on differentiation in Higher Education. Why? There are studies that look at the determinants of degree performance: e.g. Smith & Naylor (2001) Oxford Bulletin: Age, Marital Status, Higher A-Level Score, social class have a +ve impact.

Simple Predictions H1: Students who have studied Economics at A-Level (or an A-Level Equivalent) prior to joining Aston University perform better in Introductory Economics than students who have not studied Economics before. H2: Students who have studied Mathematics at A-Level (or an A-Level Equivalent) prior to joining Aston University perform better in Introductory Economics than students who have not studied Mathematics before. H3: Demographic factors have a significant impact on performance in Introductory Economics.

Data Data Discussion >All of the data is from Student Information System >We have 3 separate cross sections – this is not panel data. > >On average there are approximately 400 observations per year. >We have data on: past study in economics and maths, sex, age, home vs. overseas, school type and parent occupational class. >Students participate in a number of different degrees. None of them study single honours Economics.

Descriptive Statistics

Grade Distributions

Econometric Model Model estimated by OLS and a Tobit specification because the data is censored at 40% (these are the people who pass and get given 40%). Our primary interest is beta 1 and beta 2 SchoolType = 0,1 Dummy (independent school vs. the rest) ParOccup = 0,1 Dummy (higher managerial class vs. the rest)

Baseline Results

Results including Class

Discussion Results & Conclusion >Past study in Economics improved test scores by between 5-8 percent >Past study in maths improved test score by between 1-3 percent >Age, sex, school type and parental class has little impact on performance. >For 2007 home students performed better by 3% on average, in 2008 & 2009 this disappeared. Should class teaching be differentiated by ability?

Questions?