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MetadataTheory: Quality for Learning Resources (11th of 10)

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Eleventh Floor Introduction to Quality 1 1
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Page 1: MetadataTheory: Quality for Learning Resources (11th of 10)

Eleventh Floor

Introduction to Quality11

Page 2: MetadataTheory: Quality for Learning Resources (11th of 10)

Structure

• Introduction to Quality • Quality for Learning Resources• Quality Dimensions• Evaluating Quality of Learning Resources• The European view on e-learning• Quality in Metadata

Page 3: MetadataTheory: Quality for Learning Resources (11th of 10)

Notion of Quality

• “character with respect to fineness, or grade  of excellence”

• “quality is the customers' perception of the value of the suppliers' work output”

• “when something is what you expect it to be then it is perceived as quality. Quality is a fulfillment of expectation”

Page 4: MetadataTheory: Quality for Learning Resources (11th of 10)

Some more…

• Quality is fitness for use (Juran, 1974)

• Quality means conformance to requirements (Crosby, 1979)

• Quality, an inherent or distinguishing characteristic, a degree or grade of excellence (American Heritage Dictionary, 1996)

Page 5: MetadataTheory: Quality for Learning Resources (11th of 10)

Quality is a state of mind?

• “quality  is  a  momentary perception that occurs  when  something  in  our  environment interacts with us,  in  the  pre-intellectual awareness  that  comes  before  rational thought takes  over  and  begins  establishing order.  Judgment of  the resulting order  is  then reported as good or bad quality value”

Page 6: MetadataTheory: Quality for Learning Resources (11th of 10)

Working Definition

• Quality is the ongoing process of building and sustaining relationships by assessing, anticipating, and fulfilling stated and implied needs

http://www.qualitydigest.com/html/qualitydef.html

Page 7: MetadataTheory: Quality for Learning Resources (11th of 10)

Interesting Approach

• There are two forms of quality, and therefore two definitions and two forms of measurement.– OBJECTIVE quality is the degree of compliance of a

process or its outcome with a predetermined set of criteria, which are presumed essential to the ultimate value it provides

– SUBJECTIVE quality is the level of perceived value reported by the person who benefits from a process or its outcome. It may subsume various intermediate quality measures, both objective and subjective

Page 8: MetadataTheory: Quality for Learning Resources (11th of 10)

Quality Aspects of a Learning Resource

!MUST HAVE!

Page 9: MetadataTheory: Quality for Learning Resources (11th of 10)

Prerequisites (1/3)

• Content quality: Veracity, accuracy, balanced presentation of ideas, and appropriate level of detail

• Learning goal alignment: Alignment among learning goals, activities, assessments, and learner characteristics

• Feedback and adaptation: Adaptive content or feedback driven by differential learner input or learner modeling

Page 10: MetadataTheory: Quality for Learning Resources (11th of 10)

Prerequisites (2/3)

• Motivation: Ability to motivate and interest an identified population of learners

• Presentation Design: Design of visual and auditory information for enhanced learning and efficient mental processing

• Interaction Usability: Ease of navigation, predictability of the user interface, and the quality of the interface help features

Page 11: MetadataTheory: Quality for Learning Resources (11th of 10)

Prerequisites (3/3)

• Accessibility: Design of controls & presentation formats to accommodate disabled and mobile learners

• Reusability: Ability to use in varying learning contexts and with learners from different backgrounds

• Standards compliance: Adherence to international standards and specifications

Page 12: MetadataTheory: Quality for Learning Resources (11th of 10)

Content Quality (1/2)

• A learning resource is of little or no use if it is well designed in all other respects but its content is inaccurate or misleading

• MERLOT’s general evaluation standards divide quality into three parts: – content validity, – potential effectiveness as a teaching-learning tool, – ease of use

Page 13: MetadataTheory: Quality for Learning Resources (11th of 10)

Content Quality (2/2)

• Gollnick and Chinn (1991), identified six forms of bias that are often present in learning materials: – invisibility,– stereotyping, – selectivity and imbalance, – unreality, – fragmentation and isolation, – language bias

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Learning goal alignment

• Improving instructional alignment between teaching and testing in teacher-designed materials can boost student achievement

• Approaches used to assess alignment at the broad curricular level require a significant investment of time, – Not that appropriate for the smaller chunk sizes of

most learning objects

Page 15: MetadataTheory: Quality for Learning Resources (11th of 10)

Alignment Triangle

• The learning activities should be aligned with the stated goals

• The activities should be sufficient to provide learners with the knowledge and skills to be successful in the assessments

• The assessments should measure student achievement of the learning goals

Page 16: MetadataTheory: Quality for Learning Resources (11th of 10)

Feedback & Adaptation

• Generating effective feedback and adapting to learner characteristics have been understood as important goals for educational technology since at least the early 1960s

• Feedback is a limited form of adaptation in which the object presents information in relation to a localized action of the learner

Page 17: MetadataTheory: Quality for Learning Resources (11th of 10)

Adaptation

• More powerful forms of adaptation use comprehensive information about the learner such as: – Performance history, – Measures of aptitude, – Self-reports of preference, aptitude, or mental

state

to individualize the learning environment

Page 18: MetadataTheory: Quality for Learning Resources (11th of 10)

Examples

• The number of examples presented in interrogatory or expository format during concept learning (Tennyson &

Christensen, 1988), • The number of problems to be solved in learning LISP

programming (Anderson, Corbett, Koedinger, & Pelletier, 1995), • The number and difficulty of test items (Wainer, 2000)

Very few adaptive resources have been made available to teachers and students outside the research projects for which they were constructed

Page 19: MetadataTheory: Quality for Learning Resources (11th of 10)

Motivation

• The motivational quality of a learning object affects the amount of effort a learner will be willing to invest in working with and learning from the object

• Expectancy-value theory– motivation is a function of the value one places on

a task, one’s expectations about the task, and the perceived cost of the task

Page 20: MetadataTheory: Quality for Learning Resources (11th of 10)

How to motivate?• A learning object that is perceived to be too difficult or too easy

may result in low motivation because learners expect it to be boring, not possible to complete, or not worth completing

• Multimedia-heavy interfaces are introduced in an attempt to bolster learner motivation, but may squander and misdirect cognitive resources if their use is not integral to the learning goals of the resource

• Gaining and retaining attention by presenting highly relevant material and authentic activities that are meaningful to learners are two approaches that can increase intrinsic motivation

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“Motivating” Objects• Objects that allow learners some control over their own activities

and learning that provide opportunities for high levels of interactivity and encourage learner participation and that present game-like challenges will have high motivational value

• Objects that partition content into discrete components or levels matched to the ability of the learner lead to increased self-efficacy and motivation

• Multimedia possibilities afforded by learning objects, which help learners to visualize complex information and processes, have also been shown to increase student motivation

Page 22: MetadataTheory: Quality for Learning Resources (11th of 10)

Presentation Design

• High-quality presentations incorporate aesthetics, production values, and design of instructional messages in ways that are consistent with principles from research and theory in cognitive psychology and multimedia learning and with established conventions for multimedia design

Page 23: MetadataTheory: Quality for Learning Resources (11th of 10)

Cognitive Load Theory• In CLT, intrinsic cognitive load is described as being an

inherent part of the learning task that results from the interactivity among the elements of to-be-learned material; this component of cognitive load cannot be reduced without impacting the learning objectives

• Effective presentation design can increase germane cognitive load, which can contribute to learning and schema development. Poor presentation design can lead to increased extraneous cognitive load, which will reduce the capacity available for other cognitive processing

Page 24: MetadataTheory: Quality for Learning Resources (11th of 10)

Principles for lessening cognitive load

• Coherence principles: exclude unneeded or irrelevant materials,

• Contiguity principles: Present elements that the learner must mentally integrate close together in space and time,

• Modality principle: Explain animations with audio narration rather than text

Page 25: MetadataTheory: Quality for Learning Resources (11th of 10)

Interaction Usability (1/2)

• Usability has long been recognized as a critical issue in software quality and in educational software in particular

• Usability efforts focus on error prevention, yet instructional activities are often designed to encourage students to make and learn from mistakes (?)

Page 26: MetadataTheory: Quality for Learning Resources (11th of 10)

Interaction Usability (2/2)

• There are two types of interactions that occur when a student uses a learning object: – Interaction with the interface – Interaction with the content

• Usable designs build on learners’ prior knowledge of common interface patterns and symbols and require recognition, rather than recall, in navigational tasks

Page 27: MetadataTheory: Quality for Learning Resources (11th of 10)

Accessibility

• People with disabilities may be inadvertently excluded from the potential benefits of online learning – Learning object developers must consider and

accommodate issues of accessibility in the design of learning objects

• Survey of major providers of instructional software found that none of the 19 companies responding to the survey provided accessible products– Only 2 companies were enacting plans to address

accessibility issues

Page 28: MetadataTheory: Quality for Learning Resources (11th of 10)

Accessibility Policies• In the US, Section 508 of the Rehabilitation  Act  requires that

federal agencies make their information technologies accessible to people with disabilities

• At the international level, accessibility is being advanced by the 14 Web Content Accessibility Guidelines established by the W3C (World Wide Web Consortium, 1999)

• The IMS Global Learning Consortium has provided Guidelines for Developing    Accessible  Learning  Applications  (IMS,  2002).  They recommend the use of standard technical formats, especially W3C’s Extensible Hypertext Markup Language (XHTML)

Page 29: MetadataTheory: Quality for Learning Resources (11th of 10)

Reusability

• The possibility of creating digital learning objects that are more granular and more adaptive to different contexts and learner needs than conventional materials increases the opportunities for reuse

Page 30: MetadataTheory: Quality for Learning Resources (11th of 10)

Reusability in a nutshell• Learning objects should not contain reference to specific

contextual information such as instructor names, class locations, or course dates;

• Designing reusable learning objects demands a thoughtful balance between reusability and fit to context– “learning objects need to be produced in such a way that they

are large enough to make sense educationally, but small enough to be flexibly reused.” Campbell (2003)

• Consider the needs of diverse learners in that context — those with different backgrounds, abilities, and disabilities

Page 31: MetadataTheory: Quality for Learning Resources (11th of 10)

Standards Compliance (1/2)

• The requirement for standards is incontrovertible. From baseballs to railroad tracks, standard dimensions and approaches to design are essential if the cogs of today’s technological world are to intermesh

Page 32: MetadataTheory: Quality for Learning Resources (11th of 10)

Standards Compliance (2/2)

• In the context of learning objects, the primary thrust of standardization efforts has been in the area of metadata

• It is this metadata that potential users search when looking for learning objects, yet there are often discrepancies in approaches to metadata across objects and repositories

• Even when a consistent metadata template is used, there can be variation in the quality of the information entered into each field

• All of these issues directly impact the searchability and reusability of learning objects

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Learning Object Review Instrument (LORI)

Page 34: MetadataTheory: Quality for Learning Resources (11th of 10)
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Evaluating Learning Objects

Questions to ask yourself

Page 36: MetadataTheory: Quality for Learning Resources (11th of 10)

Ask yourself (1/3)

• Is the learning object appealing overall? – Aesthetically pleasing, interesting, challenging?

• Is the experience of using the learning object a pleasant one? – Post-experience

• Are the technical requirements easily understood and easily met?– Is it easy to use, or does it require an intricate

process?

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Ask yourself (2/3)

• Is it easy to find your way around the learning object?– Is the process intrinsic or difficult and tedious?

• Is the content complete and correct? – Theoretically sound

• Are the activities appropriate to the content?– Do the activities make sense when compared to

what the content presents?

Page 38: MetadataTheory: Quality for Learning Resources (11th of 10)

Ask yourself (3/3)

• Is the scope of the learning object suitable: neither too limited, nor too general for your purposes?– Fitness for use

• Does it meet the educational goal you decided upon?– Can you use it for a specific purpose you have in

mind?

Page 39: MetadataTheory: Quality for Learning Resources (11th of 10)

Quality in Metadata

Page 40: MetadataTheory: Quality for Learning Resources (11th of 10)

Metadata VS Learning Objects

• Metadata affect heavily the adoption of Learning Objects– Use & Reuse– Discovery, etc.

• High-quality metadata for a learning object, favor its usage– An intricate part of the learning object economy

Page 42: MetadataTheory: Quality for Learning Resources (11th of 10)

Eleventh Floor

Learning RepositoryBusiness Models

11


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