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Exploring Andragogic Teaching Methods Used for Adult Learners

2024· article· en· W4411669220 on OpenAlex
Gambhir Bahadur Chand

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSudurpaschim Spectrum · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Leadership and Innovation
Canadian institutionsWestern University
Fundersnot available
KeywordsMathematics educationPsychologyComputer sciencePedagogy

Abstract

fetched live from OpenAlex

Teaching adult learners presents unique challenges, as they bring diverse life experiences and prior knowledge to the classroom. Therefore, instructors must be well-versed in the fundamental principles of andragogy—the theory of adult learning. This study explores the experiences of university teachers in teaching adult learners and examines classroom practices in adult education settings at the university level. A qualitative research design was employed to collect and analyze data. Six university-level teachers were interviewed, and two classroom observations were conducted for each participant. Data were analyzed using thematic analysis, which included transcription, coding, and thematization. The findings revealed that most teachers primarily relied on lecture-based methods and demonstrated limited awareness of andragogical principles. Common classroom activities included explanation, question-and-answer sessions, and dictation of notes. Observations indicated that andragogical principles were largely absent in instructional practices. While a few participants reported incorporating learners' prior experiences into discussions, other key andragogical elements were notably overlooked. Based on these findings, it is suggested that the integration of andragogical principles in university teaching could enhance the effectiveness of adult learning. Reducing teacher talk time and increasing activities that foster critical thinking, problem-solving, and individualized instruction are recommended to improve student performance and engagement.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.814
Threshold uncertainty score0.477

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.244
GPT teacher head0.453
Teacher spread0.209 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it