The Elderly Educators in Their Quest for Lifelong Learning: Some Stories to Tell
Bibliographic record
Abstract
This phenomenological study explored the lived experiences of 20 elderly teachers, 50 to 65 years old, still in the service and enrolled in post graduate education. Through in-depth interviews of 10 informants and focused group discussion of 10 participants, the data were gathered and subjected to thematic analysis. The results revealed that the elderly teachers decided to enroll in post graduate education for reasons of dealing with age-specific issues and expectations, balancing personal and professional responsibilities, being infused with young brood and new perspectives, aspiring for career advancement opportunities, enhancing professional portfolio, and rearranging needs and priorities were the themes. The themes for the challenges of the elderly educators connected to their quest for lifelong learning included, balancing and prioritizing, keeping abreast with technology and new sources of knowledge, being optimistic and positive, and being determined and resolute. The insights of lifelong learning shared by informants and participants were, professional advancement brings promotion opportunities, lifelong learning is personal development, age does not matter in learning, and lifelong learning has its rewards. What is notable in this study is the participants’ being still active and generative, their resiliency to face the challenges, and their insights of wisdom, hope, and faith.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".