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Record W341857292

The 2010 Banff Workshop on Teachers as Stakeholders in Mathematics Education Research

2014· article· en· W341857292 on OpenAlexaboutno aff
Bharath Sriraman

Bibliographic record

VenueThe Mathematics Enthusiast · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsnot available
Fundersnot available
KeywordsProfessionalizationDistrustProfessional developmentExtant taxonTeacher educationWork (physics)Mathematics educationPedagogyProcess (computing)SociologyPsychologyComputer scienceSocial scienceEngineering
DOInot available

Abstract

fetched live from OpenAlex

IntroductionMathematics education has long been concerned with the training of pre-service and inservice teachers. The origins of the field indicate that initially mathematicians like Felix Klein spent a considerable amount of time in producing coherent textbooks for teachers that focussed on the mathematical content (Sriraman & Tomer, 2008). In the last three decades teacher training has been the focus of numerous initiatives not limited to the U.S but in different parts of the world. A considerable amount of mathematics education research has reported on start-up projects with teachers, models of professional development, summer workshops, design based approaches to professional development (Lesh & Sriraman, 2010). The discussion at Banff at this workshop centred on whether or not teachers were viewed as stakeholders in the burgeoning body of reported research, and whether or not extant mathematic education research (MER) had any effect on teaching practice when viewed longitudinally. The meta-issue surrounding MER in the discussion among the participants was to make the ensuing issues more teacher inclusive than researcher oriented. Not every agenda needed to be perceived as a research agenda! The issues discussed were:Issue 1: InterestHow deeply do we expect teachers (as stakeholders) to have an interest in the process and the result of a MER project? How can MER help / address the current (de)professionalization?Issue 2: Distrust - trustHow can we work together to build trust so that our combined work can be more effective and useful for both - researchers and teachers?Issue 3: (De)ProfessionalizationTeachers are professionals but not viewed as such. Unlike other fields like medicine, law and others, apprenticeship/intemship/mentorship is under-valued.Issue 4: MER Researchers/Professionals as a ResourceNeed to look at teacher's agendas both a priori and emergent if mathematics education researchers want to be accepted within the teacher's milieu.Issue 5: TerminologyHow do we conceive professional growth of teachers ideally?Issue 6:How can the relationship (evidence, scalability, sustainability) help enhance MER teachers' and transformation of teaching mathematics?Themes and IssuesParticipants were broken up into smaller groups to discuss the six issues listed above. The following themes emerged as a result of the discussion among the participants.1. Teachers have interest in results that effect teacher's effectiveness.2. Research results should have an impact on students.3. Teacher educators have a direct relationship to teachers, but not to their students and teachers tend to just talk about their students' work. This makes communication difficult for the teacher educator.4. Teachers in Canada are very interested in lesson studies.5. We need a culture for teachers. Thereby most important is learning in practice from practice.6. Do we have examples of evidence-based teaching?7. We do not have professionalism in math teaching when we compare it to other disciplines like medicine.After lamenting on the current state of secondary math teacher preparation, time was spent discussing issues 3 and 5, namely addressing the current de-professionalization of teachers and models of pre-service education and ongoing professional growth. It was emphasized that mathematics teachers need to consider themselves as professionals with ongoing duties to the subject matter and continually striving for better pedagogical understanding and reaching for innovation in their teaching strategies, as is supported by current research in mathematics education. They should have the confidence to consider themselves as mathematicians as well as possessing the multiple competencies required to respond to the dynamics in the classroom.From this arose an ideal vision of the pre-service education of secondary math teachers: mathematics courses that are commonly taken by math majors, including the history of mathematics in concert with specialized math education courses. …

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)0.009
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.747
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.328
GPT teacher head0.451
Teacher spread0.123 · 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 designQualitative
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

Citations1
Published2014
Admission routes1
Has abstractyes

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