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This study aims to investigate the integration of education for sustainable development (ESD) into landscape architecture (LA) programs in North American universities to understand its benefits and challenges and provide insights into the implementation of sustainability principles, pedagogies and teaching methods.

This study analyzed survey data from 128 LA faculty members from 85 Council of Educators in Landscape Architecture member schools. The survey assessed the implementation of sustainability principles, pedagogies, teaching benefits and challenges to integrating sustainability into their courses. To complement the survey data, 62 LA course syllabi were analyzed using a grounded theory approach to identify the topics covered, learning objectives and learning activities.

The study revealed that LA programs incorporate sustainability topics in various courses using project-based and interdisciplinary learning approaches. Integrating ESD into LA curricula promotes sustainability literacy, improved understanding of sustainability concepts and the development of sustainability skills. The study also found positive correlations between teaching methods, the enhancement of sustainability literacy and the development of design and planning skills.

This research examined the effects of teaching methods on student learning outcomes and the challenges instructors faced, providing practical insights into the integration of ESD in LA education. It offers recommendations to enhance the ESD knowledge of future LA practitioners, considering the inclusion of ESD as a core value of the standard by the Landscape Architectural Accreditation Board.

The main purpose of this study was to explore how engaging in lesson study enhances secondary school mathematics teachers’ pedagogical practice in lesson planning in Jimma, Ethiopia.

The study employed a design-based research approach with qualitative and quantitative data collected from two secondary schools, and 12 mathematics teachers. A purposive sampling technique was used to select participants. Interviews, observations, questionnaires and document analysis were the main sources of data. Qualitative data were analyzed using themes with the support of Atlas-ti qualitative data analysis software. Quantitative data were analyzed using the Wilcoxon ranked signs test.

The findings revealed that engaging secondary school mathematics teachers in lesson study enhanced their lesson planning competence. As a result, teachers began to carefully plan detailed lessons, use curriculum materials and create more student-oriented lessons. Lesson study was found to be a potent model on which to build secondary school mathematics teachers’ lesson planning competence. Hence, it would be rewarding to integrate lesson study into the present school-based teachers’ pedagogical capacity-building program in the study settings.

The data were collected from particular localities with a small sample size in the quantitative phase. Therefore, it is difficult to generalize to the entire secondary school teachers in the country. However, thick descriptions were provided that would allow readers to determine the transferability of the findings to their specific school context. Future research should investigate the effects that enhanced TPP in lesson planning has on teachers’ mathematics teaching in more schools using a larger sample size.

This study provides insight into and empirical evidence of how engaging in the process of LS is essential to enhance teachers’ lesson planning competence. It adds important knowledge to a small but growing model of lesson study research. It also informs future researchers in the practical use of LS where lesson planning is a crucial concern in many secondary schools of the country.

This research was originally conducted to build mathematics teachers' pedagogical practice in lesson planning through lesson study in Ethiopian secondary school contexts.

Higher education plays an essential role in achieving the United Nations sustainable development goals (SDGs). However, there are only scattered studies on monitoring how universities promote SDGs through their curriculum. The purpose of this study is to investigate the connection of existing common core courses in a university to SDG education. In particular, this study wanted to know how common core courses can be classified by machine-learning approach according to SDGs.

In this report, the authors used machine learning techniques to tag the 166 common core courses in a university with SDGs and then analyzed the results based on visualizations. The training data set comes from the OSDG public community data set which the community had verified. Meanwhile, key descriptions of common core courses had been used for the classification. The study used the multinomial logistic regression algorithm for the classification. Descriptive analysis at course-level, theme-level and curriculum-level had been included to illustrate the proposed approach’s functions.

The results indicate that the machine-learning classification approach can significantly accelerate the SDG classification of courses. However, currently, it cannot replace human classification due to the complexity of the problem and the lack of relevant training data.

The study can achieve a more accurate model training through adopting advanced machine learning algorithms (e.g. deep learning, multioutput multiclass machine learning algorithms); developing a more effective test data set by extracting more relevant information from syllabus and learning materials; expanding the training data set of SDGs that currently have insufficient records (e.g. SDG 12); and replacing the existing training data set from OSDG by authentic education-related documents (such as course syllabus) with SDG classifications. The performance of the algorithm should also be compared to other computer-based and human-based SDG classification approaches for cross-checking the results, with a systematic evaluation framework. Furthermore, the study can be analyzed by circulating results to students and understanding how they would interpret and use the results for choosing courses for studying. Furthermore, the study mainly focused on the classification of topics that are taught in courses but cannot measure the effectiveness of adopted pedagogies, assessment strategies and competency development strategies in courses. The study can also conduct analysis based on assessment tasks and rubrics of courses to see whether the assessment tasks can help students understand and take action on SDGs.

The proposed approach explores the possibility of using machine learning for SDG classifications in scale.

The aim of the article is to develop a framework for assessment for contemporary commercial music (CCM) in a music department that is still organised in a traditional way. Assessment of CCM in tertiary institutions and external graded music exams were described and analysed, followed by the presentation of an assessment framework.

This research design is a content analysis. Data was collected through purposive sampling of primary sources of CCM syllabi. These syllabi are used descriptively and analytically for comparison.

The major findings from the content analysis are presented as an assessment framework for CCM. The assessment framework has implications for teaching and learning vocal CCM at both undergraduate and postgraduate in higher education.

The study focused on the development of assessment criteria for CCM, in a music department where no degree specialisation for CCM exists, and CCM is manifested in the principal instrument only. The framework for assessment may be useful to practitioners and academics who are attempting to introduce CCM in classically oriented music departments and where external constraints prohibit the introduction of a degree specialising in CCM.

This article presents an authentic assessment framework for CCM, that considers its style and performance practices.

In January 2021, the state government of NSW, Australia, announced that all year 9 and 10 elective courses developed by schools will be phased out. This paper offers a brief historical account of school-developed board-endorsed courses (SDBECs) in NSW and a close analysis of the policy to phase them out.

I give an historical account of the meaning and place of SDBECs within the NSW school system, before situating the policy decision to phase them out within the broader historical and political context of curriculum reform in NSW. Finally, I offer an analysis of the discourses and framing of the policy both across curriculum review reports and in the government and public rhetoric, by examining policy documents, government media releases, news and blog articles at the time of the policy change.

This policy change and surrounding discourses are contextualised and analysed to show how the curriculum came to be blamed for a host of educational problems, and how the government arrived at their irrational yet politically expedient policy response by distorting the meaning of one metaphor: the crowded curriculum. I conclude with a reading of the policy as indicative of centralisation and de-legitimisation of teachers’ curriculum development work.

The convergence of state and federal discourse about curriculum as a site of cleaning up, reforming or re-organising should concern educators in Australia especially as authority over education is increasingly centralised and made vulnerable to political whim. Close studies of such minor policy decisions provide a window into how larger processes of centralisation are justified and enacted at the local level.

The purpose of this paper is to demonstrate how network theory and methods can provide insights into the forces shaping architectural learning agendas and knowledge construction in architectural schools.

The methodology involves conceptualising learning as a constructivist process and the agenda as an interconnected network of actors, concepts and relations. Network analysis techniques, including centrality and brokerage metrics, are used to identify roles and knowledge flows using the data locally collected from Turkish universities as well as from the OpenSyllabus open-source database.

The analysis reveals the enduring influence of early modernists, signalling imbalanced canon formation in the architectural learning system. However, marginal voices highlight struggles in integrating unconventional perspectives. Limited integration of local figures indicates a consolidation of Eurocentric epistemes. Identifying these hidden forces is vital for reimagining learning agendas and socio-culturally engaged forms of learning. Pioneering figures demonstrate potential for synthesis when situated as brokers, not bifurcated schools.

The outcomes are limited by the geographical and temporal boundaries of the data and the analysis method employed. Despite limitations, the diagnostic network framework reveals architectural learning as an open, contested ecosystem demanding pluralistic pedagogies concerning not only the global but the local, both canonical and marginal. Further research covering more data could enrich the understanding of qualitative complexities.

The network perspective prompts critical reflexivity about power, ideology and exclusion in knowledge construction. Strategic inclusion and diversification of voices provide pathways to bridge divides and ground learning locally.

This research offers a methodology model to examine forces and influences shaping architectural education by elucidating hidden and remote roles and knowledge gaps in learning agendas. Extending the techniques more widely can enable strategic interventions toward inclusive, impactful learning across disciplines, time and geographies.

Current knowledge and research on students’ utilization and interaction with generative artificial intelligence (AI) tools in their academic work is limited. This study aims to investigate students’ engagement with these tools.

This research used survey-based research to investigate generative AI literacy (utilization, interaction, evaluation of output and ethics) among students enrolled in a four-year public university in the southeastern USA. This article focuses on the respondents who have used generative AI (218; 47.2%).

Most respondents used generative AI to generate ideas for papers, projects or assignments, and they also used AI to assist with their original ideas. Despite their use of AI assistance, most students were critical of generative AI output, and this mindset was reflected in their reported interactions with ChatGPT. Respondents expressed a need for explicit guidance from course syllabi and university policies regarding generative AI’s ethical and appropriate use.

Literature related to generative AI use in higher education specific to ChatGPT is predominantly from educators’ viewpoints. This study provides empirical evidence about how university students report using generative AI in the context of generative AI literacy.

With so many placement opportunities around the students in their final or prefinal year, they start to feel the strain of the season. The students feel the need to be aware of their position and how to increase their chances of being hired. Hence, a system to guide their career is one of the needs of the day.

The job role prediction system utilizes machine learning techniques such as Naïve Bayes, K-Nearest Neighbor, Support Vector machines (SVM) and Artificial Neural Networks (ANN) to suggest a student’s job role based on their academic performance and course outcomes (CO), out of which ANN performs better. The system uses the Mepco Schlenk Engineering College curriculum, placement and students’ Assessment data sets, in which the CO and syllabus are used to determine the skills that the student has gained from their courses. The necessary skills for a job position are then extracted from the job advertisements. The system compares the student’s skills with the required skills for the job role based on the placement prediction result.

The system predicts placement possibilities with an accuracy of 93.33 and 98% precision. Also, the skill analysis for students gives the students information about their skill-set strengths and weaknesses.

For skill-set analysis, only the direct assessment of the students is considered. Indirect assessment shall also be considered for future scope.

The model is adaptable and flexible (customizable) to any type of academic institute or universities.

The research will be very much useful for the students community to bridge the gap between the academic and industrial needs.

Several works are done for career guidance for the students. However, these career guidance methodologies are designed only using the curriculum and students’ basic personal information. The proposed system will consider the students’ academic performance through direct assessment, along with their curriculum and basic personal information.

Upon completion of the case study, students will be able to assess the business environment a firm faces and develop strategies to match its strengths and weaknesses vis-à-vis opportunities and threats; formulate growth/expansion strategies for a firm; and evaluate resources of the firm to develop a competitive advantage.

The case describes the journey of Praajasv Foundation, an institute that provides coaching for students pursuing civil service exams in Gujarat. Established in 2019 in a rented space in Ahmedabad, Praajasv made a name for itself in the competitive market of civil service exam coaching by 2022, thanks to its expert tutors and focus on quality education. However, with the changing dynamics of the industry, Malhar Bhatt, the COO of Praajasv, must navigate the institute to strengthen its position. The increasing number of aspirants for the Class-III cadre exams and the presence of strong national competitors pose significant challenges for Malhar in terms of strategic planning. The rise of online education as an alternative to classroom teaching has also altered the competitive landscape of the industry. How do these trends impact Malhar’s plans for Praajasv? How should Malhar plan to expand the Praajasv Foundation in the coming years?

This case can be useful for students majoring in strategic management and marketing management at the master’s level

Teaching notes are available for educators only.

CSS 8: Marketing.

A recent United Nations (2021) report stated that education needs to be concerned with enhancing human relationships with the natural world if we are to work toward building a sustainable future. This paper proposes that educational practices underpinned by an ecological orientation in mid-century Aotearoa offer insights for educators looking to enhance human connection with nature. It also argues that ecological thinking has implications for how research in the history of education might be carried out.

The article responds to recent calls in history of education for researchers to attend to the intertwined ecologies of living and material worlds in research approaches by Maria Tamboukou (2020) and Karin Priem (2022). It conducts a close analysis of a 1952 nature diary, encountered in the national archive, written by a 9-year-old pupil on the West Coast of the South Island. The analysis attends to the human–nature interactions the diary records, and to the resonance of the text in the context of post-war curriculum changes.

Post-war nature study in Aotearoa New Zealand built on an aim to nurture children’s connections with nature and to place. Analysis of an entry from the 1952 nature diary highlights these connections and demonstrates the possibilities for a reframing of human–nature relationships that emerge with an ecological orientation in education. These findings speak to urgent contemporary concerns with environmental sustainability and human–nature relationships.

The paper draws on educational philosophy and theory (Fesmire, 2012; Nicol, 2014) alongside recent conversations in the history of education (Priem, 2022; Grosvenor and Priem, 2022; Tamboukou, 2020) to consider human–nature relationality at the heart of ecological thought. It outlines an approach to archival research that is ecologically oriented, generating openness and receptivity to the material world.