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Record W250039886

The Practice of Prospective Science Teachers regarding the Planning of Education Based Trips: Evaluation of Six Different Field Trips.

2012· article· en· W250039886 on OpenAlexaboutno aff
Aykut Emre Bozdoğan

Bibliographic record

VenueEducational Sciences Theory & Practice · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Technology Integration
Canadian institutionsnot available
Fundersnot available
KeywordsTRIPS architectureField tripScience educationSociologyQualitative researchClass (philosophy)Medical educationPedagogyPsychologyMathematics educationPolitical scienceSocial scienceEngineeringMedicineComputer science
DOInot available

Abstract

fetched live from OpenAlex

Abstract The aim of this study is to explain how planning educational trips out of school environments for training pur-ooses should be as well as to determine the opinions and the practices of prospective science teachers. The study that lasted for two years was carried out in parallel with the elective course Education in Informal _earnmg Environments in the Spring Term of the Academic Year of 2007-2008 and 2008-2009. Thirty-four 4th grade prospective science teachers participated in the study from the Giresun University Education Faculty Science Teaching Programme. In line with the research, educational trips to six different places were organized The research data used in qualitative research observation form and semi-structured interview technique were obtained. The observed results showed that prospective science teachers were careful, willing, and joyful in all field trips and worked in cooperation. The interview results also showed that prospective teachers' knowledge and their self-confidence increased for educational trips for training purposes planned. Key Words Informal Learning Environments, Science Education, Fieldtrip. The class environment's having limited sources to bring in the new knowledge which is acquired with the fast developments in science and technology to the society in an easy understandable, and enjoyable way has caused the need for alternative environments (Bozdogan, 2007; Kisiel, 2007). These places which are described as informal education environments include mass media, sports centres, zoos, botanic parks, woodlands, museums, libraries, aquariums, open air laboratories, nature centres, and a of social areas which we wont be able to count here (Hannu, 1993; Howe & Disinger, 1988). Informal education environments' being fun and natural, the people visiting these places being volunteers and the introduction of opportunity of gaining different experiences and teaching to different age groups of people with different activities can be seen as an advantage (Taylor & Caldarelli, 2004). It was introduced by the researches conducted that different activities which were presented apart from formal education resources were rich teaching resources which made learning more fruitful (Ramey-Gassert, 1997), encouraged learning by different ways which the class environment wasn't able to introduce, helped each student to enlighten themselves in their own paces (Melber & Abraham, 1999) and support the education at school (Gerber, Cavallo, & Marek, 2001; Hannu, 1993). One of the formal education environments which include a lot of fields is the field trips which are organized by the schools. These trips are one of the leading and effective education strategies which attract the attention of students and whose outcomes are permanent. This strategy is one of the ways which provide students unique opportunities to understand the natural environment and promote the sustainability of education. These natural environments help the concepts and complex knowledge which are told in school environment to be observed in its natural environment , to be aware of the real world and it also provides to gain experience at first hand (Bowker & Tearle, 2007; Kola-Olusanya, 2005; Leback, 2007; Rennie & McClafferty 1995; Scarce 1997; Skop, 2008; Tal, 2004b). They can also provide permanent change in the students' knowledge, attitudes and behaviours (Ballantyne & Packer, 2009; Knapp & Barrie, 2001; Orion, Hofstein, Tamir, & Giddings, 1997; Rudman, 1994; Tal & Morag, 2009). However, this condition must not mean that we deny the importance of education which is performed in the class because the best education takes place when a relation between intramural and extramural environments is built and carried out (Ballantyne & Packer, 2006; Kisiel, 2007). Moreover, it is emphasized that the field trips which are well-organised and associated with the school curriculum create successful outcomes (Bowker & Tearle; Kisiel, 2005; Tal, Bamberger, & Morag, 2005). …

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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)0.009
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.022
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.051
GPT teacher head0.455
Teacher spread0.404 · 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 designObservational
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

Citations18
Published2012
Admission routes1
Has abstractyes

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