Assessment Methods in Statistical Education

An International Perspective
Herausgeber: Bidgood, Penelope; Jolliffe, Flavia; Hunt, Neville

• Broschiertes Buch

Produktbeschreibung

ASSESSMENT METHODS IN STATISTICAL EDUCATION AN INTERNATIONAL PERSPECTIVE Assessment Methods in Statistical Education: An International Perspective provides a modern, international perspective on assessing students of statistics in higher education. It is a collection of contributions written by some of the leading figures in statistical education from around the world, drawing on their personal teaching experience and educational research. The book reflects the wide variety of disciplines, such as business, psychology and the health sciences, which include statistics teaching and assessment. The authors acknowledge the increasingly important role of technology in assessment, whether it be using the internet for accessing information and data sources or using software to construct and manage individualised or online assessments. Key Features: * Presents successful assessment strategies, striking a balance between formative and summative assessment, individual and group work, take-away assignments and supervised tests. * Assesses statistical thinking by questioning students' ability to interpret and communicate the results of their analysis. * Relates assessment to the real world by basing it on real data in an appropriate context. * Provides a range of individualised assessment methods, including those that deter plagiarism and collusion by providing each student with a unique problem to solve or dataset to analyse. This book is essential reading for anyone involved in teaching statistics at tertiary level or interested in statistical education research.

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Produktdetails

• Verlag: Wiley
• Seitenzahl: 304
• Erscheinungstermin: 26. April 2010
• Englisch
• Abmessung: 226mm x 150mm x 18mm
• Gewicht: 440g
• ISBN-13: 9780470745328
• ISBN-10: 0470745320
• Artikelnr.: 31570189

Autorenporträt

PENELOPE BIDGOOD, Kingston University, UK NEVILLE HUNT, Coventry University, UK FLAVIA JOLLIFFE, University of Kent, UK

Inhaltsangabe

Contributors.

Foreword.

Preface.

Acknowledgements.

PART A: SUCCESSFUL ASSESSMENT STRATEGIES.

1 Assessment and feedback in statistics (Neville Davies andJohn Marriott).

2 Variety in assessment for learning statistics (HelenMacGillivray).

3 Assessing for success: An evidence-based approach thatpromotes learning in diverse, non-specialist student groups(Rosemary Snelgar and Moira Maguire).

4 Assessing statistical thinking and data presentation skillsthrough the use of a poster assignment with real-world data(Paula Griffiths and Zoe Sheppard).

5 A computer-based approach to statistics teaching andassessment in psychology (Mike Van Duuren and AlistairHarvey).

PART B: ASSESSING STATISTICAL LITERACY.

6 Assessing statistical thinking (Flavia Jolliffe).

7 Assessing important learning outcomes in introductory tertiarystatistics courses (Joan Garfield, Robert delMas and AndrewZieffler).

8 Writing about findings: Integrating teaching and assessment(Mike Forster and Chris J. Wild).

9 Assessing students' statistical literacy (StephanieBudgett and Maxine Pfannkuch).

10 An assessment strategy to promote judgement and understandingof statistics in medical applications (Rosie McNiece).

11 Assessing statistical literacy: Take CARE (MiloSchield).

PART C: ASSESSMENT USING REAL-WORLD PROBLEMS.

12 Relating assessment to the real world (PenelopeBidgood).

13 Staged assessment: A small-scale sample survey (SidneyTyrrell).

14 Evaluation of design and variability concepts among studentsof agriculture (Maria Virginia Lopez, Mar´ia delCarmen Fabrizio and Mar´ia Cristina Plencovich).

15 Encouraging peer learning in assessment instruments(Ailish Hannigan).

16 Inquiry-based assessment of statistical methods in psychology(Richard Rowe, Pam McKinney and Jamie Wood).

PART D: INDIVIDUALISED ASSESSMENT.

17 Individualised assessment in statistics (NevilleHunt).

18 An adaptive, automated, individualised assessment system forintroductory statistics (Neil Spencer).

19 Random computer-based exercises for teaching statisticalskills and concepts (Doug Stirling).

20 Assignments made in heaven? Computer-marked, individualisedcoursework in an introductory level statistics course (VanessaSimonite and Ralph Targett).

21 Individualised assignments on modelling car prices using datafrom the Internet (Houshang Mashhoudy).

References.

Index.