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Record W4400962979 · doi:10.1108/ijshe-07-2023-0300

Hands-on sustainability: designing an engaging undergraduate sustainable business course

2024· article· en· W4400962979 on OpenAlexaff
Yasmin Anwar Abdou, Nesma Ammar

Bibliographic record

VenueInternational Journal of Sustainability in Higher Education · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicSustainability in Higher Education
Canadian institutionsUniversity of Prince Edward Island
Fundersnot available
KeywordsCurriculumSustainabilitySustainable businessExperiential learningEducation for sustainable developmentBusiness educationSustainable developmentActive learning (machine learning)Sustainable consumptionHigher educationStudent engagementEnvironmental educationPedagogySociologyComputer sciencePolitical science

Abstract

fetched live from OpenAlex

Purpose This paper outlines the active learning methods used to develop and deliver a sustainable business course to undergraduate students. Moreover, the paper aims to investigate the effect of the sustainable business course on the students’ engagement in sustainable consumption. Design/methodology/approach From a pedagogical perspective, the paper describes the active learning methods applied in a newly introduced sustainable business course via numerous distinctive assessment techniques. On the empirical front, the research investigates the impact of the sustainable business course on the students’ engagement in sustainable consumption. To test such impact, an online survey was distributed among students who completed the sustainable business course, and as a control group for comparison, students who did not take the course. Findings The research results indicate a positive relationship between completion of the sustainable business course and engagement in sustainable consumption. Furthermore, the data revealed that female students exhibited more engagement in sustainable consumption than male students. Research limitations/implications The study contributes to the literature on student-centered pedagogy, active learning techniques and the relationship between sustainable business education and engagement with sustainable consumption. Practical implications The study contributes to the literature on student-centered pedagogy, active learning techniques and the relationship between sustainable business education and engagement with sustainable consumption. Pedagogically, the nonconventional course curricula and assessment methods described in this study can be used as a reference by instructors aiming to integrate active and experiential teaching methods into their sustainable business curricula. For decision makers in higher education who are working in line with the global direction to achieve sustainability, this research provides preliminary evidence that students’ engagement with sustainability is influenced by their course curricula. Originality/value By depicting innovative approaches to teaching sustainability in business, the research enriches the field of sustainable business pedagogy which remains under-researched in many countries. Furthermore, the research goes further by investigating the effect of the course on students’ sustainable consumption. This acts as evidence of the effectiveness of teaching sustainable business in changing future leaders’ perspectives and priorities to include environmental and social aspects, which has become a global goal. Accordingly, the research has the potential to encourage more business schools to make sustainable business education mandatory.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.002

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.

Opus teacher head0.029
GPT teacher head0.402
Teacher spread0.373 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2024
Admission routes1
Has abstractyes

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