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Teaching statistics after introducing Bologna system: . a case study of an old-new master David SIMON Workshop, Novi Sad december 2011. Topics. Introduction Criteria of analysis Sources Bologna system and before Comparing Survey Statistics M Sc and Specialization

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teaching statistics after introducing bologna system

Teaching statistics after introducing Bologna system:

a case study of an old-new master

David SIMON

Workshop, Novi Sad

december 2011

topics
Topics
  • Introduction
  • Criteria of analysis
  • Sources
  • Bologna system and before
  • Comparing Survey Statistics MSc and Specialization
  • Some possible solutions
  • Summary
topics1
Topics
  • Introduction
  • Criteria of analysis
  • Sources
  • Bologna system and before
  • Comparing Survey Statistics MSc and Specialization
  • Some possible solutions
  • Summary
introduction
Introduction
  • ELTE: largest university of Hungary
  • Faculty of Social Sciences:
    • new faculty, previously institute
    • Social Sciences (BA), Economics, Sociology, Social Policy, Social Work, International Studies, Minority Studies (MA), Health Policy (MA), Cultural Anthropology (MA), Human Ecology (MA), Community and Civil Society Studies (MA), Survey Statistics (MSc)
  • Department of statistics
    • Serving other MAs’ and BAs’ needs
    • Responsible for Survey Statistics MSc
introduction1
Introduction

Goals of presentation

  • Framing introduction of Bologna system
  • Introducing Survey Statistics MSc and its antecedent specialization in Survey Statistics
  • Comparing them
  • Introducing problems
  • Giving some possible solutions
topics2
Topics
  • Introduction
  • Criteria of analysis
  • Sources
  • Bologna system and before
  • Comparing Survey Statistics MScand Specialization
  • Some possible solutions
  • Summary
criteria of analysis
Criteria of analysis

Legal frame

Needs

of students

Needs

of business

Curricula,

teaching methods

Knowledge

of students

Possibilities

of University

topics3
Topics
  • Introduction
  • Criteria of analysis
  • Sources
  • Bologna system and before
  • Comparing Survey Statistics MSc and Specialization
  • Some possible solutions
  • Summary
sources
Sources
  • Curricula (MSc and Specialization)
  • Qualitative surveys
    • students graduated in 2010
    • teachers
  • (legislation)
  • (personal experience)
topics4
Topics
  • Introduction
  • Criteria of analysis
  • Sources
  • Bologna system and before
  • Comparing Survey Statistics MSc and Specialization
  • Some possible solutions
  • Summary
bologna system and before
Bologna system and before
  • Two major changes in higher education:
    • Transition (around 1990) → mass higher education, capitalist business environment
    • Introduction of Bologna system (2006, 2009) → renewal of curricula (theoretically), end of five year training period
topics5
Topics
  • Introduction
  • Criteria of analysis
  • Sources
  • Bologna system and before
  • Comparing Survey Statistics MSc and Specialization
  • Some possible solutions
  • Summary
comparing survey statistics m sc and specialization3
Comparing Survey Statistics MSc and Specialization

Oppinion of teachers

  • Specialization was partial training only, students learned other applied statistics and methodological curses
  • Students on MSc have more heterogeneous background
  • Students on MSc more business oriented vs. more science oriented students, that were in Specialization
  • Students may miss some skills previously got from other courses (e.g. social science, multivariate analysis on SPSS)
  • Sociology MA maybe a competitor for Survey MSc
comparing survey statistics m sc and specialization4
Comparing Survey Statistics MSc and Specialization

Oppinion of graduated students

  • All students would offer to learn here
  • But 4 of 6 didn’t got what was expected
  • They expected more practical knowledge and found hard mathematical statistics
  • They liked the heterogeneity of teachers (mathematicians, social scientists, people from the business, etc.)
  • They also liked familiarity and flexibility
  • But missed linkage between theoretical and practical courses
  • They urged closer relation to market research companies
  • They would have learnt more statistcal software package
topics6
Topics
  • Introduction
  • Criteria of analysis
  • Sources
  • Bologna system and before
  • Comparing Survey Statistics MSc and Specialization
  • Some possible solutions
  • Summary
some possible solutions
Some possible solutions

Heterogeneity of backgound

  • Tutor system
    • Two of the best students from the second year of MSc became tutor for first year students, teaching advanced Excel usage and basic SPSS usage in the first half of the first semester
  • In the second semester students learn to do small simulations illustrating theoretical courses
  • More talented students (or students with more previous experiences) got special exercises and e-mail consultation – motivation!
some possible solutions1
Some possible solutions

More business oriented knowledge

  • Some courses thought by teachers currently work in the market: eg. research management course, presentation course
  • On other courses people from market invited to teach one or two occasions: eg. market research course, applied sampling course
  • We are trying to teach methods (eg. correspondence analysis) and softwares (Excel) that are frequently used on the market
some possible solutions2
Some possible solutions

Linkage between theory and practice

  • On exercise courses theoretical knowledge is practiced on database from market research if possible
  • On exercise courses of theoretical courses students are practicing on more software that are popular on the market (SPSS, Stata, Excel), not only in R
some possible solutions3
Some possible solutions

Finding solutions and problems

  • We are collecting and comparing course materials to enhance harmony among courses (teachers have freedom of teaching in the frame of curricula)
  • We are planning to regularly ask students about difficulties, opinions, suggestions
  • We are planning to ask all graduated students (including from Survey Statistics Specialization) about usage of their knowledge and success
topics7
Topics
  • Introduction
  • Criteria of analysis
  • Sources
  • Bologna system and before
  • Comparing Survey Statistics MSc and Specialization
  • Some possible solutions
  • Summary
summary
Summary
  • The shorter the curricula the harder to level knowledge – but talented students can be used for peer training (there other students don’t fear to ask)
  • Teaching statistics must find its way to business as well especially in circumstances of economic hardness (e.g. high unemployment) – teachers from the market (eg. ex students) can help a lot (and maybe cheap)
  • A curriculum never can be finished – it worth to make survey among students and even teachers
slide25
Thank you for your attention!

dr.david.simon@gmail.com