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An innovative use of technology to aid the service teaching and assessment of statistics to a large cohort. I ain Weir, Rhys Gwynllyw & Karen Henderson CETL-MSOR 2014. Motivation. Level 2 research skills module delivered to 650+ Business School Students
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An innovative use of technology to aid the service teaching and assessment of statistics to a large cohort Iain Weir, Rhys Gwynllyw & Karen Henderson CETL-MSOR 2014
Motivation • Level 2 research skills module delivered to 650+ Business School Students • Short course on statistics covering a challenging amount of material together with learning to use SPSS • Designed to provide a solid foundation for students to undertake Level 3 project work • Electronic assessment of bespoke data
Weekly schedule • Exploratory data analysis (EDA), one sample T-test & nonparametric equivalent • Two sample T-tests & nonparametric equivalents • One-way ANOVA & nonparametric equivalent • Correlation & simple linear regression • Multiple regression • Principal Component Analysis (PCA) & Cluster Analysis Two online tests: one-way ANOVA & Multiple regression
Basic statistical analysis tasks • Transfer from Excel files to required SPSS format • Exploratory data analysis for summary statistics, graphics and assumption testing • Identification of appropriate statistical test (parametric or nonparametric equivalent) • Interpretation and reporting of test output Typically assessed using a written report
Lectures • One hour per week • Notes covered statistics and use of SPSS • No reference in lectures to use of SPSS to gain output in examples presented • Students can concentrate on the statistical concepts and SPSS output interpretation
Computer lab preparation • Expectation between of engagement between lecture and following computer lab • Tasks requiring students to recreate the SPSS analyses in the notes • Transfer of data into required SPSS format covered • Self-learning aided by a suite of SPSS “how-to” videos • Students can concentrate on the mechanics of the creation of output and familiarisation of concepts
Computer labs • One hour per week • Students given questions that covered various data outcome scenarios (para/non-para, sig/not sig, post-hocs) • First question was designated for the student’s Learning Journal; a pre-written complete analysis template with parts removed for the student to complete • Students requiring SPSS “button pushing” help were directed to notes and videos • Staff concentrate in labs on giving statistical understanding and interpretation advice
DEWIS test 1: One-way ANOVA • A parametric test to evaluate the equality of 3 or more population means using sample data • If the test assumptions not met then a non-parametric test to evaluate the equality of the population distributions is carried out • If there is evidence of a difference then Post-Hoc tests are employed to detect where the differences lie
Stage 1: Importing the data from Excel to SPSS Multiple submissions allowed Stage 2: EDA and identifying the appropriate test One submission allowed Stage 3: One-way ANOVA or Kruskal-Wallis test One submission allowed NB Students can quit after submitting a stage and marks already accrued will be saved
e-Assessment mechanics Student e-Assessment system DEWIS
e-Assessment system: DEWIS • Can communicate with the R statistical package which was employed to generate bespoke student data and generate answers that would match SPSS screen output • Run staged assessments • Implement continuation marking for a large number of inputs • Provide dynamic feedback specific to student inputs
Students raw data Students taught to pay attention to precision of recorded data
Correct SPSS format DEWIS marks using expected precision
Stage 1 Download data Unlimited attempts • Checks: • transfer • precision
Feedback Answers not given Correct Incorrect Close • Extra information: • PDF • Video
Extra Information: PDF Link from within DEWIS to personal web page host 9 pages later:
Extra information: video • Captive slide shows with voice overs • Link from within DEWIS to personal web page host http://www.cems.uwe.ac.uk/~isweir/MoE/DEWIS1/ReadingDEWIS1Data.htm
Resubmission When correct the student is allowed to proceed to Stage 2
Stage 2 13 questions 67 activities only one submission
Stage 3 Only correct test choice allowed 6 questions 26 activities only one submission Need to design balanced questions for all competing scenarios
Marking scheme Stage 1 is worth 7 marks for successful data transfer otherwise 0 Stages 2 and 3 • Numerical value: correct=1 incorrect=0 • Multiple choice: correct=1 incorrect=-1 not answered=0 In total 100 activities each worth a mark Negative marks for Stages 2 or 3 are truncated to zero
Outcomes • Results have been excellent • Teaching and assessing in this way has made the challenging task of delivering and assessing this material in a short space of time achievable • The fact that students can refer to their Learning Journals and access “how-to” SPSS videos will be beneficial to their further studies
Colleague quote “…..we are getting them to carry out quite sophisticated analyses, with a lot more success than I believed possible at the beginning!”
Next? • Refine work in light of first delivery experience • Extend to other modules • Examples of DEWIS with R in public domain • Funding