Meaning Equivalence Reusable Learning Objects (MERLO) Access to Knowledge in Early Digital Era and Development of Pedagogy for Conceptual Thinking
Bibliographic record
Abstract
This chapter describes the effects of availability of digital knowledge on teaching, learning, and assessment, and the emergence of pedagogy for conceptual thinking with meaning equivalence in different knowledge domains in early digital era. It includes three proof-of-concept implementations of meaning equivalent reusable learning objects (MERLO) in three different contexts: 1) Course ‘Risk management in the Supply Chain' at Material and Manufacturing Ontario (MMO) Centre of Excellence, in 2002, to evaluate the potential of MERLO to assess and improve learning outcomes in workplace workshops to be offered jointly by MMO and University of Toronto Innovation Foundation; 2) in 2004, secondary school courses in mathematics, physics, and chemistry at Russian Academy of Sciences, Ioffe Physical-Technical Institute, Lycee ‘Physical-Technical High School' at St. Petersburg, to train teachers in administering MERLO formative assessments and evaluate learning outcomes in STEM courses (science, technology, engineering, and mathematics); 3) in 2006, implementing MERLO pedagogy, including development of MERLO databases for grades 9 – 12 mathematics courses at Independent Learning Center (ILC) of TVOntario.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".