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Record W1582137574

The Power of Peer Review In Multimedia Production

2002· article· en· W1582137574 on OpenAlexaffabout
Marlo Steed

Bibliographic record

VenueJournal of educational multimedia and hypermedia · 2002
Typearticle
Languageen
FieldHealth Professions
TopicDigital Storytelling and Education
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsMultimediaComputer scienceFormative assessmentSet (abstract data type)Perspective (graphical)NegotiationVariety (cybernetics)Value (mathematics)Meaning (existential)Interactive mediaMathematics educationPsychology
DOInot available

Abstract

fetched live from OpenAlex

Multimedia projects are opportunities to negotiate meaning through a variety of portrayals. However, too often multimedia projects are created with inadequate thought for how they will be perceived by others. Multimedia can be uncommunicative when the creator has designed it from an egocentric perspective. This article describes a set of learning activities involving peer and target population evaluations that address this problem. These formative evaluations provide creators of multimedia with compelling suggestions for improvement. The power of these commentaries is evident through changes or projected changes to projects. The results suggest that these activities encourage a greater of audience and the creation of better product. The Course/The Project The Faculty of Education at the University of Lethbridge (Canada) has been offering a course called Multimedia and Learning, as a senior undergraduate offering. This is a study into the tools and educational value of multimedia. The course surveys multimedia applications, discusses the value of multimedia for learning, presents principles of design and layout, establishes a skill set with relevant multimedia applications, and engages the user in a team approach to project development. The course's intent is to provide educators with skills and knowledge to effectively integrate and discuss the role of multimedia in learning. It also prepares perspective teachers with experiences producing multimedia projects so that they are in a better position to use it with their own students. In a one-semester course it is unreasonable for students to become experts with multimedia production tools but through tutorials, experimental time, and assignments, students gain a for the possibilities. There are a number of assignments that students pursue to achieve the objectives of this course. Design and layout principles are discussed in class and students are responsible for reading and providing a summary of a textbook entitled, Interactivity by Design (Kristof & Satran, 1995). Based on these design principles students create their own evaluation forms that are used to evaluate commercial multimedia programs. Another component is a series of small assignments that introduce students to multimedia tools. These involve 2-D graphics, manipulating sound, creating a short video, and modeling and rendering a simple 3-D illustration. This is rather open-ended but students create some spectacular results. These assignments act as background for the major cuiminating project where students are grouped into research and production teams. The teams select a topic for their multimedia project and members of the team are delegated topics to research and application tools to learn; a form of reciprocal learning (Brown, Campione, Webbe r, & McGilly, 1992). This project culminates in the creation of a multimedia product. Students do a great amount of preproduction planning of their projects; they submit a general description of the project, background research, a node map (concept map), and a storyboard. The teams then create their project. Once the projects enter the prototype stage they go through a formative evaluation process. The projects are initially tested by peer evaluation (another group of students) and then with users who the project is designed for (target population). Further details of the course are available online by way of the Internet (Steed, 2000). During one semester the instructor obtained student consent to gather data to document this experience. Sense of Audience Students that create multimedia need to critically select tools and representations. To do this, they should be comfortable with graphic, sound, and video applications. They need an understanding how those media can be integrated to enhance the message. However, to effectively negotiate meaning, they also require a sense of audience. …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.391
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.066
GPT teacher head0.387
Teacher spread0.322 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2002
Admission routes2
Has abstractyes

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