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Record W1588744696

Computer-Mediated Communication and Science Teacher Training: Two Constructivist Examples

2004· article· en· W1588744696 on OpenAlexaff
Gregory MacKinnon

Bibliographic record

VenueThe Journal of Technology and Teacher Education · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Technology Integration
Canadian institutionsAcadia University
Fundersnot available
KeywordsMathematics educationSociologyPedagogyTeacher educationLaptopRhetoricScience educationPsychologyComputer science
DOInot available

Abstract

fetched live from OpenAlex

The education of science teachers necessarily involves around the use of computer technologies. Acadia University, a laptop institution, offers a unique setting where students are immersed in the critique of pedagogical applications of computers. The current trend employ constructivist approaches in provides a backdrop for this article, which offers a discussion of two interactive communication strategies namely asynchronous electronic discussion and negotiative concept mapping. The impacts of these approaches have been addressed with students through surveys and qualitative interviews. ********** Education and Computers: What's Missing As the trend continues place in the hands of every student in North American schools, there is an accompanying assumption (Moll. 1997) that this will necessarily enhance science education (Thomas, 2001). Bigum (1998) has suggested that blind faith in technological progress has not served schools well (p. 22). Science teachers have sometimes been characterized as being unabatedly enthusiastic about the possibilities for with computers (Roth, Woszczyna, & Smith, 1996, p. 995). This technoromantic (Benyon & Mackay, 1989) or technicist (Bryson & deCastell, 1998) perspective has recently been met with a call assume a middle ground of so-called technorealism where the rhetoric and reality of is brought into focus (Walker & White, 2002). While there is a continued insistence that computer would have a greater impact on schools if teachers were just taught how employ them in classrooms, among others, Bennet (2002) posits that this simply is not the case. Lack of teacher however, is a myth. In 2000 the U.S. Department of Education issued a study in which half of all teachers reported that college and graduate work had prepared them use technology (p. 622). So what is the answer? Perhaps there is but what of the quality and nature of that training. Of the eight keys successful integration recommended by Bitner and Bitner (2002). training in the basics is number two. Unfortunately I suspect many teacher institutes stop at just that, leaving students with a bag of tools but few experiences of integration. But what is meant by integration? Postman (1993) suggested that: we need consider about the computer has nothing do with its efficiency as a tool. We need know in what ways it is altering our conception of learning (p. 19). Van den Akker, Keursten and Plomp (1992) concurred with this when they say teachers need to revise their beliefs regarding how students learn. It would appear that the best way accomplish this may be by immersing teachers in teaching models where they are forced conceptualise how the and their objectives get married (Bitner & Bitner, 2002). Computer-led classrooms that promote the teacher as a facilitator of curriculum and problem solver have certainly been suggested (Bennett, 2002) and investigated (MacKinnon, 2001). What do we know of the nature of that may help inform the overlap of pedagogy and technology? Constructivism Herrington and Standen (2000) made a case that with must move from what Reeves (1993) referred as instructivist approaches, where the learner is a passive recipient of instruction (p. 4) constructivist environments, where knowledge building is a learner--centered process. While there is plethora of writings on constructivism (Brooks & Brooks, 1993) and its relationship (Greening, 1998; Merrill, 1991; Perkins, 1991; Brown, 1992; Salomon & Almog, 1998), Chou (2001), based on the work of Bonk and Cunningham (1998). has very aptly distinguished the more popular definitions of constructivism. Constructivism theorists who draw from Piaget put more emphasis on individual constructions of knowledge as a result of interaction with the physical environments. …

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)0.019
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.102

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.015
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.005
Science and technology studies0.0090.050
Scholarly communication0.0110.012
Open science0.0030.013
Research integrity0.0090.008
Insufficient payload (model declined to judge)0.0020.000

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 head0.032
GPT teacher head0.343
Teacher spread0.311 · 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 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

Citations9
Published2004
Admission routes1
Has abstractyes

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