The impact of a geographic technologies professional development institute on Middle Eastern and North African teachers
Bibliographic record
Abstract
Basic education in the Middle East and North Africa (MENA) seems to be characterized by lecture methods of instruction, a lack of interdisciplinary approaches and a disconnection with local community problems. During 2008, a “My Community, Our Earth” (MyCOE) workshop was organized in the MENA region and involved teachers of geography, math and science. It aimed to promote and support the use of geographic methods and technologies, including Geographic Information Systems (GIS) and Global Positioning Systems (GPS), regarding sustainable development topics as a way to improve primary and secondary teaching and learning through an interdisciplinary approach and connection to local issues. These subjects were integrated to a perspective based on spatial thinking, spatial analysis, active learning and problem solving on a variety of regional and local issues. This article explores the impact that the MyCOE workshop may have on participants’ learning. Preworkshop and postworkshop questionnaires were administered, and the analysis of qualitative and quantitative data shows that the respondents’ expertise was reinforced and that they learned to use geographic technologies. In addition, the MyCOE workshop resulted in the development of a more concrete vision among participants of what basic math and science education could be in Arab nations, by using geographic learning as a framework for integrated education.
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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 | 0.001 | 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 | 0.002 |
| 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".