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Read e-book online Assessment Methods in Statistical Education: An PDF

By Penelope Bidgood, Neville Hunt, Flavia Jolliffe

ISBN-10: 0470710462

ISBN-13: 9780470710463

ISBN-10: 0470745320

ISBN-13: 9780470745328

Evaluation tools in Statistical schooling: a world point of view offers a contemporary, foreign point of view on assessing scholars of statistics in greater schooling. it's a number of contributions written through many of the top figures in statistical schooling from worldwide, drawing on their own instructing adventure and academic examine. The publication displays the wide range of disciplines, similar to enterprise, psychology and the healthiness sciences, which come with information instructing and overview. The authors recognize the more and more very important function of expertise in evaluation, even if or not it's utilizing the web for getting access to info and information resources or utilizing software program to build and deal with individualised or on-line tests.

Key positive factors:

  • Presents profitable review recommendations, extraordinary a stability among formative and summative evaluation, person and team paintings, take-away assignments and supervised assessments.
  • Assesses statistical considering by way of wondering scholars’ skill to interpret and speak the result of their research.
  • Relates evaluation to the true international through basing it on genuine information in a suitable context.
  • Provides quite a number individualised overview tools, together with those who deter plagiarism and collusion by way of supplying every one pupil with a different challenge to resolve or dataset to examine.

This publication is key interpreting for a person concerned with instructing records at tertiary point or attracted to statistical schooling learn.

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Additional info for Assessment Methods in Statistical Education: An International Perspective

Example text

7 Assessment and learning in given scenarios Familiarity, understanding and confidence with knowledge and procedures in statistics come through exercises that manage learning in small components of the development and progression. Variety of contexts and data provide the experiential learning and the formative assessment, and the exemplars for summative assessment. 1 Exercises and practical activities with data Whether on paper or in computer laboratories, exercises that provide a range and variety of data experiences are essential for statistical learning and assessment that develops and evaluates statistical skills and understanding.

Although it may take considerable thought, experience and planning to achieve staff collegiality with students in a large class, the key is in the attitude and culture of sharing the journey. Far from diminishing the teacher’s standing and authority, taking the role of coach and team-mate tends to increase students’ respect, provided the overall learning and assessment package is a well-structured program with clarity, purpose and harmony in content, objectives and aligned assessment. Much is written about active learning as a problem-solving process, but the creation of an environment for learning problem-solving is a significant challenge.

Any inconsistency needs careful appraisal by teachers and Examination Boards. Often, two staff will mark a project and agree an overall mark. 2 presents an illustrative set of words suitable for assessment criteria for different types of learning outcomes. Three categories of Fail, Pass and Distinction are used. Some criteria seek to subdivide pass into 40–49, 50–59 and 60–69. The detailed marking scheme should normally do this. One example of an approach to designing a marking scheme and then allocating marks for assessment is provided by Marriott et al.

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Assessment Methods in Statistical Education: An International Perspective by Penelope Bidgood, Neville Hunt, Flavia Jolliffe


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