Bibliographic record
Abstract
Interactive whiteboards allow manipulation of a projected computer display using physical objects (colored pens and eraser) or finger traces and taps to mimic a mouse. This makes the whiteboard into a large scale touch-sensitive computer screen. My introduction to this technology was an article by a local schoolteacher titled “Let me have a turn”1. This article described how the technology had transformed the author's traditional teaching into more enjoyable interactive sessions. This teacher taught classes in biology and chemistry and used a combination of commercial, public domain, and self-prepared lessons in PowerPoint. As lessons progressed, key words were added and calculations completed in response to student input. Finished lessons can be saved and shared. I was amazed to find how universally popular and common interactive whiteboards have become in school teaching2, with a survey carried out in the United Kingdom revealing that 98% of secondary and 100% of primary schools have the technology3. The company Smart Technologies from Calgary Canada claim to have created the technology in 1991 using an overhead projector coupled with an LCD filter screen. They persisted in refining the technology as more appropriate hardware became available and now claim to be the market leaders. This is a credible claim with many countries having user groups centered on SmartBoards, produced by Smart Technologies, and sharing substantial regional curriculum support packages4. An interactive whiteboard communicates with a computer through a USB or wireless connection and establishment of the link can be entirely automatic. The sensors to follow finger actions can be either surface responsive or optical tracking. The technical details are well described in a Wikipedia article3. Even better is to take an introductory tutorial recorded using an interactive whiteboard5. An obvious problem for the front projection is the shading of the projection by the user's hand and body. The shading and projector placement problems can be overcome with rear projection systems that also mean that the presenter does not have to look into the projector light while speaking to the audience. Pictures of these systems can be found at commercial sites4, 6 along with the prices that surprised me for their affordability. The teachers who adopt this technology are reported to use it intensively in the same way that most of my university colleagues use projected PowerPoint lectures as their dominant teaching technology. Differences between school settings and universities are in part the smaller class size in schools and a tendency by school teachers to adopt repetitive drills and progression linked to class comprehension. These factors have favored interactive whiteboards to overcome the traditional conservatism of schoolteachers and thereby make these boards widely adopted internationally in schools. I asked a senior medical-education IT administrator about the use of interactive whiteboards at my university. His rather dismissive response was that interactive whiteboards had been around for years and raised no interest outside the arts faculty. Interactive whiteboard technology is clearly going to be very familiar to the students entering our universities, because they will have been in class rooms using them through all of their school years. I suspect that for teaching science at universities, interactive whiteboards will be most appropriate in laboratory classes.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".