Download PDF by Penelope Bidgood, Neville Hunt, Flavia Jolliffe: Assessment Methods in Statistical Education: An

By Penelope Bidgood, Neville Hunt, Flavia Jolliffe

ISBN-10: 0470710462

ISBN-13: 9780470710463

ISBN-10: 0470745320

ISBN-13: 9780470745328

Evaluate equipment in Statistical schooling: a world standpoint presents a latest, overseas point of view on assessing scholars of records in greater schooling. it's a selection of contributions written by means of many of the major figures in statistical schooling from all over the world, drawing on their own instructing event and academic learn. The booklet displays the big variety of disciplines, reminiscent of enterprise, psychology and the overall healthiness sciences, which come with records instructing and evaluation. The authors recognize the more and more vital position of expertise in overview, no matter if or not it's utilizing the web for having access to details and knowledge assets or utilizing software program to build and deal with individualised or on-line checks.

Key positive factors:

  • Presents profitable overview concepts, extraordinary a stability among formative and summative evaluate, person and team paintings, take-away assignments and supervised exams.
  • Assesses statistical pondering through wondering scholars’ skill to interpret and converse the result of their research.
  • Relates evaluate to the true international by way of basing it on genuine facts in a suitable context.
  • Provides a number of individualised evaluation tools, together with those who deter plagiarism and collusion through supplying every one pupil with a distinct challenge to unravel or dataset to examine.

This booklet is key examining for a person taken with instructing records at tertiary point or attracted to statistical schooling study.

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Extra resources for Assessment Methods in Statistical Education: An International Perspective

Example text

In teaching to this outcome the student would be encouraged to use ‘Metacognitive knowledge’ by being taught how to assess how they know the problem fits into a particular type. Then they would ask themselves whether the answers they arrive at are ‘sensible’ at the end of the process of constructing a confidence interval. The students are also taught to ‘Evaluate’ their answer in context. 1, ASSESSMENT AND FEEDBACK IN STATISTICS 17 are all associated with the teaching and learning needed to support this specific learning outcome.

In statistics (and mathematics), passive learning is no learning; the learning comes through doing. The operational knowledge and skills of such areas must become more than just familiar to a learner – they need to become part of the learner. Helping students acquire the confidence, skills, thinking and useful dispositions (Gal and Garfield, 1997a) of statistics requires many interwoven components in a teaching, learning and assessment package. Variety in statistical experiences and in types of assessment is an essential component in creating learning environments which help students own their learning and sustain their engagement.

26 ASSESSMENT METHODS IN STATISTICAL EDUCATION Overuse or misuse of verbal descriptors and coarse grading schemas tend to obscure rather than enlighten. 5 Creating learning environments in statistics Biggs (1999a: 61) writes: ‘Learning is the result of learning-focused activities which are engaged by students as a result both of their own perceptions and inputs and the total teaching context’. In Biggs’ constructive alignment, students are ‘entrapped’ in the ‘web of consistency, optimising the likelihood that they will engage the appropriate learning activities’ (Biggs, 1999a: 64).

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


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