Bibliographic record
Abstract
Purpose Many education for sustainable development (ESD) programs are designed to change attitudes and values toward the natural environment. However, psychological research indicates that several factors in addition to attitude influence behavior, including contextual support, social norms, action difficulty, and habitual behavior. Thus, if attitude change is to translate into altered behavior, education must extend beyond attitudes to assist people to act in ways consistent with their values. The purpose of this paper is to review the psychological research showing weak correlation between attitudes and behavior, the factors that mediate this relationship, and to describe the implications of these findings for university institutions and ESD programs. Design/methodology/approach The paper is organized as a review and editorial article, describing relevant research, and outlining implications and suggested actions. Findings The results of the reviewed research indicate that attitude‐behavior correlations are mediated by several factors, including contextual conditions such as inconvenience and personal factors such as habits. Practical implications The implications of these findings are that ESD programs should specifically address factors that mediate the attitude‐behavior relationship, including contextual changes and the development of personal management plans. Examples for each type of change are suggested. Originality/value The implications of these findings for ESD programs have not previously been highlighted. Specifically, to achieve sustainable development requires attention to these mediating factors as well as to knowledge generation and attitude change. Thus, the value of this paper is to encourage ESD developers to expand their programs to encourage contextual change and personal behavior management plans.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".