Changemaking and English Language Learners (Els): Language, Content and Skill Development through Experiential Education
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.
Bibliographic record
Abstract
The idea of offering all children and youth an education that is experiential, student centered, engaging, and relevant to life is not a new concept (Dewey, 1938; Kolb, 1981). Preparing students with the competencies, skills, and character for full participation in the 21st century has become the vision of schools, educators, and organizations around the world (NEA, 2020; Geisinger, 2016; Trilling, B. & Fadel, C. 2009). Changemaker teachers, staff, and administrators believe in facilitating children and youth development as citizens for the 21st century. These educators also guide them as agents of change who empathize with others and solve real life problems for the greater good. These children and youth are what Ashoka calls “Changemakers”. (Ashoka, 2020). This article explores the potential for facilitating the development of English Learners (Els) as Changemakers by using effective Second Language Acquisition (SLA) approaches in combination with experiential approaches. The intent is to contribute a theoretical framework and curriculum ideas for effective practice to help English language learners develop language, access content, and develop 21st century skills as Changemaker attributes.
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 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 | 0.001 |
| 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 | 0.001 |
| 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 it