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Experimental Research and the Internet

2011· book-chapter· en· W2290159072 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIGI Global eBooks · 2011
Typebook-chapter
Languageen
FieldPsychology
TopicVisual and Cognitive Learning Processes
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsAudio visualThe InternetExperimental researchLearning theoryCoding (social sciences)Cognitive scienceFocus (optics)Computer scienceDual (grammatical number)PsychologyMultimediaCognitive psychologyMathematics educationWorld Wide WebArt

Abstract

fetched live from OpenAlex

Throughout the 1950s and 1960s experimental research played a major role in audio-visual research and development (Reiser, 1987, 2002). Experiments were published on the effects of slide-tape presentations, educational television, programmed learning, teaching machines, and audio-tutorial instruction. During the 1970s and 1980s, the experimental focus shifted from audio-visual research to instructional technology research on whole programs, such as PLATO, CAL, microworlds and Internet Hunts. It seems that today we have returned to the experimental investigations of audio-visual communication. Over the years, experimental evidence of audio-visual communication has become the basis of current models and theories, including: Baddaley’s (1992) model of working memory, Paivio’s (1986) dual coding theory, Penney’s (1989)separate streams hypothesis, Chandler and Sweller’s (1991) split-attention theory, Mayer and Moreno’s (1998) dual processing theory of working memory, Mayer’s (1997) theory of multimedia learning, and Mann’s Structured Sound Function (SSF) Model (Mann, 1992, 1995a, 1997a), and others. This chapter will discuss these models as a platform for conducting experimental research of online teaching and learning.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.520
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.120
GPT teacher head0.399
Teacher spread0.280 · 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