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Record W1918678156

Book review of Teaching to Diversity: The Three-Block Model of Universal Design for Learning

2014· article· en· W1918678156 on OpenAlexaffvenueabout
Kim J Calder Stegemann

Bibliographic record

VenueCanadian Journal of Education / Revue canadienne de l éducation · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCollaborative Teaching and Inclusion
Canadian institutionsThompson Rivers University
Fundersnot available
KeywordsUniversal Design for LearningDiversity (politics)Mathematics educationClass (philosophy)PedagogyDemocratic educationSociologyComputer scienceDemocracyPsychologyPolitical scienceArtificial intelligencePoliticsLaw
DOInot available

Abstract

fetched live from OpenAlex

Teaching to Diversity: The Three-Block Model of Universal Design for Learning by Jennifer Katz Winnipeg, MB: Portage & Main Press, 2012, 232 pages ISBN: 9781553793533 Jennifer Katz's recent text, Teaching to Diversity: The Three-Block Model of Universal Design for Learning is a much-needed text for pre- and in-service teachers. Although Canada is poised to become a leader in inclusive education, there is still much to be realized on the front lines. This text provides a foundation that both beginning and seasoned teachers can use to create inclusive classroom environments by utilizing a Universal Design for Learning (UDL) framework. Based on prevailing research, Katz has created a three-block model as a framework for enacting inclusive education. The first block is to establish a compassionate learning community. As she sees it, we have a responsibility to teach personal, moral, and ethical responsibilities within diverse communities (p. 43). The section on creating a Respect for Diversity classroom is extremely useful with nine lesson plans to sequentially develop a community that acknowledges diversity and understands the importance of including the contributions of all members. The lesson plans are easy to follow, adaptable to multiple grade levels, and would provide an excellent foundation for the beginning of every school year. To further aid in establishing a welcoming and workable classroom climate, Katz outlines 7 Principles of Democratic Classrooms, explaining how to arrange class meetings and walking the reader through the exact procedures that she, herself, has tried and tested. Using the familiar t-chart looks like/sounds like, she outlines how to develop partnering and small-group work skills among students, noting that most children do not automatically come to school knowing how to be good listeners, coaches, and problem solvers. Chapter 4 is extremely valuable for any new teacher who struggles to incorporate a myriad of prescribed learning outcomes into meaningful plans and lessons. Katz guides the reader through the process of integrating subject areas so that students grapple with the big idea concepts (essential understandings), advocating to start at the end (p. 65) when planning a unit of study. The chapter includes an example of how to create rubrics that span several grade levels, using the previous grade learning outcomes to establish a baseline for what all students should already know. The rubrics illustrate a continuum of learning, reflecting the philosophy of inclusion, which honours the wide range of abilities within each classroom. She also incorporates different multiple intelligences into the unit so that throughout group, centre, or individual work, each child completes an activity using their dominant intelligence. An interesting aspect of the section on assessment is how she uses multiple intelligences in student reporting, addressing the themes of assessment for learning, as learning, and of learning. She also includes a sample class profile. Throughout the discussion, Katz maintains that the units of study are for all students. Students with significant or even severe disabilities may appear to be unable to join in, or activities may appear inappropriate for them. …

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)0.004
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.553
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.060
GPT teacher head0.306
Teacher spread0.247 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2014
Admission routes3
Has abstractyes

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