Search results

There has been considerable discussion about the poor outcomes of irresponsible management, which are often discussed as being the result of “shortcomings” of contemporary capitalism: runaway self-interest, quarterly focus, elite orientation, volume orientation, and one-pattern capitalism (Kim, 2022). In order to address such shortcomings in business education, particularly with strategy-related modules that were taught with a focus on creating “shareholder value,” the Sustainable Decisions and Organisations (SDO) module was designed by academics as the capstone module for the master of business administration (MBA) program and delivered with the aim of developing capabilities of students to be leaders and future generators of sustainable value for business and society at large. The students participating in the module are shown how a “stakeholder” approach to developing business strategy can lead to more sustainability-oriented value creation. The module addresses how companies can contribute to “sustainability” by aligning their economic/financial, societal, and ecological impacts with limited resources through strategy. This contribution discusses the implementation of this module and demonstrates how students are provided learning opportunities around how sustainability-related issues can be embedded into a business organization's strategy to enhance the organization's performance while addressing risks by working with stakeholders to create value and thus be able to contribute to relevant UN Sustainable Development Goals (SDGs).

In our societal context, the neoliberal competitive and knowledge-oriented culture still exerts a stranglehold on teachers' sense of professional autonomy giving rise to a deficit image of them as ‘excessively entitled’. The purpose of this chapter is to eschew this deficit view of teachers by bringing their agentive side to the fore. First, it explores the concept of ‘excessive teacher entitlement’ in terms of the prevalent characteristics of the culture of teaching in schools and the nature of authority wielded by teachers in this culture and its negative consequence on student learning using an excerpt from an English as Second Language (ESL) classroom in India where this study is set. This episode helps expose the teacher's unawareness of the gaps between their intention and action, a hallmark of excessive entitlement. Second, it juxtaposes an alternative image of ‘teacher as researcher’ to foreground teachers' ‘transformative activist stance’ which revolves around their ideological becoming in agentively striving to realise their ‘best-loved self’. Framed within Vygotskian Cultural-Historical Activity Theory, the principle of ‘double stimulation’ provides a powerful analytical lens to unpack the complex discursive dynamics of their practice nested within historically developing contradictions. These contradictions work tacitly to drive a wedge between teachers' intentions and action making them feel excessively entitled to passively acquiesce with the existing order of things. This study provides some signposts for teacher education about creating an environment where teachers can reclaim their transformative agency freeing themselves from the ‘excessive entitlement’ that binds their practice to the status quo and diminishes their relationships with students.

This chapter explores the implications of acknowledging one's own excessive entitlement and living contradictions in contributing to Living-Educational-Theory Research. The analysis emphasises the importance of accepting one's educational responsibility for one's own continuing professional development in inquiries of the kind that address this query: ‘How do I improve my professional educational practices in education with values of human flourishing?’ This responsibility includes making public evidence and values-based explanations of educational influences in learning, in contributing to the global knowledge base of education.

The notion of excessive teacher entitlement was coined by Ratnam to characterise the putative deficit view of teachers that is projected onto them. Craig (2013) developed Schwab's concept, the teachers' ‘best-loved self’, to embrace teachers' input in promoting the learning and well-being of all in the institutions they serve (Ratnam & Craig, 2021). My experiences of being a living contradiction are grounded in a tension between my best-loved self and my experience of excessive entitlements. Living educational theories research in which individual practitioner-researchers generate their validated, evidence- and values-based explanations of educational influences in their own learning, in the learning of others and in the learning of the social formations that influence their practice with values of human flourishing, have helped me leverage the potential for growth afforded by this tension. The perspective draws insights from the disciplines of education including Habermas's Critical Theory. It also includes insights from other methodologies such as autoethnography, action research, phenomenology, self-study and narrative inquiry.

There is growing recognition that transformation of healthcare systems towards health and well-being systems requires a continuous learning process. This explorative study aims to gain insight into the experiences with and investment in these learning processes within regional partnerships for health and in what they need to enhance their learning capacity to use the learning for transformation.

17 interviews were held with programme managers, data scientists, trusted advisors and a citizen representative, all involved in the learning process on a regional level in ten Dutch regional partnerships. The interviews were inductively and thematically analysed, focusing on the experiences and perceptions underlying the learning processes.

Regional partnerships invest in learning processes by organizing interactions between different groups of stakeholders and by reflecting on specific themes or on a region-wide level. Difficulty was found in region-wide reflection and in enhancing the learning capacity within the partnerships. Further enhancing the learning capacity required: (1) Investment in (the use of) expertise for translating learning outcomes into concrete action; (2) Leadership for change, underpinned by a shared sense of urgency to learn for transformation and (3) A facilitative environment for change which is both based on facilitative system structures and a basis of trust and commitment to learn and adapt.

The study highlighted the difficulty of learning on a region-wide level and the struggle to apply this learning for transformation. It provides insights into how learning processes and learning capacity can be further improved.

Large class sizes are becoming the norm in higher education against concerns of dropping learning qualities. To maintain the standard of learning and add value, one of the common strategies is for the course convenor to proactively monitor student engagement with learning activities against their assessment outcomes and intervene timely. Learning analytics has been increasingly adopted to provide these insights into student engagement and their performance. This case study explores how learning analytics can be used to meet the convenor’s requirements and help reduce administrative workload in a large health science class at the University of New South Wales.

This case-based study adopts an “action learning research approach” in assessing ways of using learning analytics for reducing workload in the educator’s own context and critically reflecting on experiences for improvements. This approach emphasises reflexive methodology, where the educator constantly assesses the context, implements an intervention and reflects on the process for in-time adjustments, improvements and future development.

The results highlighted ease for the teacher towards the early “flagging” of students who may not be active within the learning management system or who have performed poorly on assessment tasks. Coupled with the ability to send emails to the “flagged” students, this has led to a more personal approach while reducing the number of steps normally required. An unanticipated outcome was the potential for additional time saving through improving the scaffolding mechanisms if the learning analytics were customisable for individual courses.

The results provide further benefits for learning analytics to assist the educator in a growing blended learning environment. They also reveal the potential for learning analytics to be an effective adjunct towards promoting personal learning design.

With the growing need for employees to be innovative, public-sector organizations are investing in employee training. This study aims to examine the effects of a combined Lean Six Sigma and innovation training, using action learning, on public-sector employees’ creative role identity and innovative work behavior.

The authors studied a public service agency in Singapore in which a five-day Lean Innovation Training was implemented, using a combination of Lean Six Sigma and Creative Problem-Solving tools, with a simulation on day one and subsequent team-based project coaching, spread over six months. The authors administered pre- and postintervention surveys among all the employees, and initiated group interviews and observations before, during and after the intervention.

Creative role identity and innovative work behavior had significantly improved six months after the intervention, enabled through senior management’s transformational leadership. The training induced managers to role-model innovative work behaviors while cocreating, with their employees, a renewal of their agency’s core processes. The three completed improvement projects contributed to an innovative work culture and reduced service turnaround time.

Starting with a role-playing simulation on the first day, during which leaders and followers swapped roles, the action-learning type training taught all the organizational members to use various Lean Six Sigma and Creative Problem-Solving tools. This nimble Lean Innovation Training, and subsequent team-based project coaching, exemplifies how advancing the staff’s creative role identity can have a positive impact.

Climate change poses risks to society and the demand for carbon literacy within small and medium-sized enterprises is increasing. Skills and knowledge are required for organizational greenhouse gas accounting and science-based decisions to help businesses reduce transitional risks. At the University of Copenhagen and the University of Northern British Columbia, two carbon management courses have been developed to respond to this growing need. Using an action-based co-learning model, students and business are paired to quantify and report emissions and develop climate plans and communication strategies.

This paper draws on surveys of businesses that have partnered with the co-learning model, designed to provide insight on carbon reductions and the impacts of co-learning. Data collected from 12 respondents in Denmark and 19 respondents in Canada allow for cross-institutional and international comparison in a Global North context.

Results show that while co-learning for carbon literacy is welcomed, companies identify limitations: time and resources; solution feasibility; governance and reporting structures; and communication methods. Findings reveal a need for extension, both forwards and backwards in time, indicating that the collaborations need to be lengthened and/or intensified. Balancing academic requirements detracts from usability for businesses, and while municipal and national policy and emission targets help generate a general societal understanding of the issue, there is no concrete guidance on how businesses can implement operational changes based on inventory results.

The research brings new knowledge to the field of transitional climate risks and does so with a focus on both small businesses and universities as important co-learning actors in low-carbon transitions. The comparison across geographies and institutions contributes an international solution perspective to climate change mitigation and adaptation strategies.

The paper follows Jason Cope's (2011) vision of a holistic perspective on the failure-based learning process. By analyzing the research since Cope's first attempt, which is often fragmentary in nature, and providing novel empirical insights, the paper aims to draw a new comprehensive picture of all five phases of entrepreneurial learning and their interplay.

The study features an interpretative phenomenological analysis of in-depth interviews with 18 failed entrepreneurs. Findings are presented and discussed in line with experiential learning theory and Cope's conceptual framework of five interrelated learning timeframes spanning from the descent into failure until re-emergence.

The study reveals different patterns of how entrepreneurs experience failure, ranging from abrupt to gradual descent paths, different management and coping behaviors, and varying learning effects depending on the new professional setting (entrepreneurial vs non-entrepreneurial). Analyzing the entrepreneurs' experiences throughout the process shows different paths and connections between individual phases. Findings indicate that the learning timeframes may overlap, appear in different orders, loop, or (partly) stay absent, indicating that the individual learning process is even more dynamic and heterogeneous than hitherto known.

The paper contributes to the field of entrepreneurial learning from failure, advancing Cope's seminal work on the learning process and -contents by providing novel empirical insights and discussing them in the light of recent scientific findings. Since entrepreneurial learning from failure is a complex and dynamic process, using a holistic lens in the analysis contributes to a better understanding of this phenomenon as an integrated whole.

This paper is a case study of student response systems used in large-class teaching. It considers the benefits, including the engagement of students and academic gains such as reduced administration. The constraints and impacts in classroom teaching are noted, drawing upon the experience of two teachers with their learning captured as a means of dissemination of practice to support other teachers who may be considering adopting and later adapting such practices (Gribble and Beckmann, 2023).

An autoethnographical account was undertaken using an action-learning approach as a sense-making exercise. These accounts enabled a depth of insight beyond the anecdotal evidence experienced by an individual teacher alone.

The findings show that while student response systems have constraints, these can be addressed by putting pedagogical concerns in front of any technology deployment, reaping benefits for students and teachers. Once engaged in using the system, students become more willing to enter further discussions. However, the limitations of both systems indicate that there may be a need for multiple systems to be available based on the pedagogical needs of the class.

The exploration of student response systems and outcomes of positive engagement by students in classroom settings provides insight to those wishing to explore such systems for use in large-class teaching settings.

This work extends discussions surrounding interactivity using student response systems. Additionally, practical insights from the users into their experiences with their students in using such systems provide alternatives for engagement in delivering large-class learning at scale.

Traditional robot arm trajectory planning methods have problems such as insufficient generalization performance and low adaptability. This paper aims to propose a method to plan the robot arm’s trajectory using the trajectory learning and generalization characteristics of dynamic motion primitives (DMPs).

This study aligns multiple demonstration motion primitives using dynamic time warping; use the Gaussian mixture model and Gaussian mixture regression methods to obtain the ideal primitive trajectory actions. By establishing a system model that improves DMPs, the parameters of the nonlinear function are learned based on the ideal primitive trajectory actions of the robotic arm, and the robotic arm motion trajectory is reproduced and generalized.

Experiments have proven that the robot arm motion trajectory learned by the method proposed in this article can not only learn to generalize and demonstrate the movement trend of the primitive trajectory, but also can better generate ideal motion trajectories and avoid obstacles when there are obstacles. The maximum Euclidean distance between the generated trajectory and the demonstration primitive trajectory is reduced by 29.9%, and the average Euclidean distance is reduced by 54.2%. This illustrates the feasibility of this method for robot arm trajectory planning.

It provides a new method for the trajectory planning of robotic arms in unstructured environments while improving the adaptability and generalization performance of robotic arms in trajectory planning.