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Record W7130509439 · doi:10.65959/eaa.819

Summer Study Tours: Making the Most of a Preeminent Professional Development Opportunity

2008· article· W7130509439 on OpenAlexaboutno aff
Ronald S. Byrnes

Bibliographic record

Venuenot available
Typearticle
Language
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsnot available
Fundersnot available
KeywordsEnthusiasmTRIPS architectureChinaStudy abroadProfessional development

Abstract

fetched live from OpenAlex

ummer study tours present an unparalleled opportunity for teachers to continue learning about other people and places, to make new friends, to network, to internationalize curricula, and in the end, to rekindle enthusiasm for teaching.I have been privileged to be part of two Asia study tours.In 1997, I spent July in China with six colleagues, compliments of a Freeman Foundation grant.We traveled by bus, train, and plane in Eastern and Central China visiting cities, schools, and historic sites.In 1999, I spent two weeks in Japan with twenty other social studies educators from the United States, Canada, the United Kingdom, and Australia as part of the Keizai Koho Fellowship program.We spent one week in Tokyo visiting businesses and schools, then traveled by bus and bullet train to Hiroshima and Kyoto, where we visited more businesses and schools, completed a home stay, and sang some terrible karaoke.In this paper I turn what I've learned on these trips and related international experiences into ten suggestions intended to help educators preparing to participate in study tours make the most of their experiences.I also hope to inspire other readers to seek out and apply for travel opportunities on international summer study tours.One: Before departing, learn as much as possible about your destination.Read about its history, learn some "survival" phrases and sentences, and read travel guides and back issues of The Economist.Watch relevant documentary films, attend lectures by specialists on the country or region, and get a feel for the country's geography, economic strengths, and domestic and foreign issues.Learn the name of the president and prime minister and know the nation's current population.In short, become conversant about the country so that you'll ask better questions of your guides, earn the respect of your hosts, and create positive intellectual momentum.For example, before traveling to Japan, I read the "Japan" chapter in a wonderful book titled, Women in the Material World. 1 The chapter consisted of a photo essay and narrative about one typical Japanese female head of household.In reading it, I began to learn about women's issues in Japan.Then, when I completed a homestay and befriended the mother of the family, I better understood her situation because it closely paralleled that of the Japanese woman in the book chapter.Also, pre-travel orientations differ in their thoroughness.Be sure to ask about itinerary details, what to pack, what immunizations to get, how much spending money to take, and the best way to exchange money and make purchases.Two: Before departing, study exemplary curricula that engage students in thinking deeply about your travel destination and find ideas and inspiration for the curriculum writing you will do when you complete the study tour.For example, examine some of the excellent curriculum units produced by the

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.024
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0150.005
Scholarly communication0.0090.009
Open science0.0020.017
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0240.010

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 head0.164
GPT teacher head0.410
Teacher spread0.246 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2008
Admission routes1
Has abstractyes

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