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Record W277703834

Using Digital Video to Study History. (Advancing Technology)

2003· article· en· W277703834 on OpenAlexaboutno aff
Colleen Swain, Rachael Sharpe, Kara Dawson

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldHealth Professions
TopicDigital Storytelling and Education
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyFunction (biology)Educational technologyMathematics educationPedagogy
DOInot available

Abstract

fetched live from OpenAlex

THE MIDDLE SCHOOL YEARS are critical to the cognitive, social, and emotional development of students. Hence, many schools implement various strategies to deal with the complexities associated with this age group. Beyond placing strong emphasis on high-quality learning in traditional academic areas, middle school educators strive to develop and support the whole child. There are different ways in which schools address these issues, such as through the Character Counts Program, Canada's PREPARE program, (1) Sean Covey's 7 Habits of Highly Effective Teens, (2) or by placing an overall emphasis on the whole student using Gardner's Multiple Intelligences (3) and other learning theories. In addition, local communities believe that a major function of schools is to prepare students to be contributing members of a society that uses an abundance of technology, according to a recent Phi Delta Kappa/Gallup Poll. (4) Therefore, middle schools are also integrating educational technologies into daily teaching and learning environments. This integration benefits the students not only because they are learning to use the technology for learning but also because they are being trained to function in a technological society. The social studies classroom is one area in which a rich mixture of educational technologies can be used to enhance student learning. This article briefly focuses on the use of educational technologies as a mindtool for students, examines the power of using video, describes the use of video in a combined social studies and science sixth grade classroom, and discusses the benefits and barriers to the use of such educational technologies. Educational Technologies as David H. Jonassen writes about the power of using mindtools as a significant part of the learning process. He notes that the term mindtool is a concept and not a simple definition. Mindtools are computer-based tools and learning environments that have been adapted or developed to function as intellectual partners with the learner in order to engage and facilitate critical thinking and higher order (5) use programs that tend to be available to most schools, such as spreadsheets, databases, and concept mapping programs. When using mindtools, students learn with computers instead of about computers or from computers. That is, the computer application, the mindtool, performs tasks that it can perform better than humans can while the human is freed up from a computational burden to be able to think critically about the concept. can act as devices that encourage and stimulate critical thinking. Hence, mindtools represent a constructivist approach because students are actively representing, manipulating, and reflecting on a concept. Students are participating in a learning environment in which they, not the teacher, create the knowledge. Teachers can capitalize on children's natural enthusiasm for learning by making their classrooms places where students explore important and meaningful questions. (6) The Power of Video as a Mindtool Video production can function as a mindtool that promotes critical inquiry and motivates students. It can serve as a powerful visualization tool that helps learners convey meaning and make their messages more easily interpreted by others. In addition, video production allows students to better understand concepts in the designing and producing of videos. Producing videos forces students to grapple with the complexities of critical issues in order to document them before presenting the issues to others. This helps students understand the depth and breadth of a concept as well as helping them think about how to communicate their understanding of the material. In one study, fourteen- and fifteen-year-old science students took a video illustrating the concept of light, which was originally produced in Spanish, and wrote a script in English for their peers. …

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.914
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.104
GPT teacher head0.416
Teacher spread0.312 · 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 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

Citations8
Published2003
Admission routes1
Has abstractyes

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