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Although educators would likely agree that values and ethics are important in all disciplines, they have particular importance for practice-oriented fields. These applied professionals need to solve complex social problems that require the application of ethical standards and value perspectives. While the importance of value-engaged practice is known to the applied field, there is little research and conversation about how values can be integrated into teaching. This chapter synthesizes values-education approaches in various practice-based disciplines such as public administration (PA), program evaluation, social work, and public health. This chapter draws from empirical and theoretical works as well as the authors' experiences developing, participating in, and conducting values-based research on professionals and professional education.

This chapter explores the relevance of critical race theory (CRT) and queer theory to the relational aspects of program evaluation. Often conceptual binaries that undergird traditional evaluation theory and practice (e.g., internal versus external evaluation, subjective versus objective analysis, observation versus intervention, and insider versus outsider positionalities) adversely influence rigid social roles between evaluator and participant limit a study's effectiveness in supporting programs for equity in contemporary school districts. To illustrate this approach, an array of problems within a program evaluation of a district-wide ethnic studies reform initiative is presented. Approaches to these challenges rooted in tenets of CRT and queer theory illustrate how the district was able to clarify goals and develop an effective implementation plan that focused on effective ethnic studies curriculum and pedagogy.

This article explores the applicability of participatory action research (PAR) on two levels: on the one hand, as a participatory evaluation method for community engagement and community development; on the other hand, as a tool to link ex ante and ex-post evaluation that situated at various stages of the policy cycle.

Through a practice-based case study of the community engagement process of Valletta Design Cluster, this paper aims to illustrate how PAR can offer collaborative and continuous evaluation by facilitating social action through a practical, situative, context-bounded, responsive and transformative framework.

The study explores how PAR can contribute to cultural sustainability by linking community development with participatory evaluation, and it offers new perspectives on the applicability of PAR as a tool to link ex ante and ex-post evaluation, situated at various stages of the policy cycle.

Although based on a single case, the paper demonstrates that the method has the potential to be applied in various contexts, as it helps to foster local ownership and to develop future cultural strategies, thus providing a base for cultural sustainability.

The novelty of this study is to link evaluation – a majorly top-down and ex ante approach – with participatory planning. PAR-E offers a continuous participatory framework for the whole European Capitals of Culture (ECoC) cycle, as well as serving as a tool for empowerment and community development.

The paper is a proof of concept (PoC) intervention study aimed for developing performance management (PM) practices in manufacturing small and medium-sized enterprises (SMEs) with the longer-term aim enabling the SMEs to improve their productivity. The intervention was designed and deployed by a collaborative quartet of academics, management consultants, accountancy firm and a commercial bank manager.

The paper firstly musters a set of initialising PM practices aligned to productivity improvement. These are utilised to design a knowledge transfer intervention for deployment with a set of manufacturing SMEs incorporating some associated productivity tools. The evaluation of the intervention utilised a case study approach founded on a logic model of the intervention to assess the development of the PM practices.

The intervention contributed to a partial development of the mustered practices and the productivity diagnostic based on the multi-factor productivity (MFP) abstraction and a data extraction protocol had the strongest impact. The study revealed the importance of the three interlaced factors: Depth of engagement, feedback opportunities and the intervention gradient (the increase of independent action from the participating SME's and the diminishment of the external intervention effort).

The case study is based on a limited number of individual SME's, and within just the manufacturing sector.

SME businesses will require a more sustained programme of interventions than this pilot to develop PM capability, and depth of engagement within the SME is critical. Professional stakeholders can be utilised in recruitment of firms for intervention programmes. Business can start developing PM capability prior to PMS implementation using the tools from this programme.

The productivity diagnostic tool, based on a synthesis of MFP and the performance pyramid, an array of potential initialising practices for PM capability and discovery of potential mechanisms for PM practice development.

The aim of this paper is to theorize on and empirically extend the understanding of the adoption of codes of ethics within the context of family firms. The authors contend that in family firms the adoption of code of ethics is a process emerging from social interaction.

Through a multiple case study design the authors analyze family firms that have not yet adopted a code of ethics and untangle the process that could potentially lead to that choice.

The authors’ main finding suggests that the institutional context impacts on the adoption of codes of ethics. Furthermore, in first generation the adoption of codes of ethics is hindered by the presence of the founder and the existence of strong family ties. In subsequent generations as founder centrality is reduced the owning-family considers more the possibility to adopt such codes to preserve the family's reputation in the local community.

First multiple views also from external stakeholders could be added; second, an international perspective using cross-country cases could add more nuances on how cultural and institutional aspects shape the adoption of codes of ethics differently across national contexts.

The authors’ findings inform family business owners on the importance of adopting code of ethics to support the formalization of the family value system.

The authors advance the debate on codes of ethics in family firms by disentangling the process through which those codes may be adopted to institutionalize and formalize the family values, history and tradition.

This study aims at assessing item fairness in students' evaluation of teaching based on students' academic college using measurement invariance analysis (MI).

The sample of this study consists of 17,270 undergraduate students from 12 different academic colleges. SET survey consists of 20 Likert-type items distributed to four factors: planning, instruction, management and assessment was used to collect the data. The Lavaan R package with confirmatory factor analysis (CFA) was used to evaluate measurement invariance (MI). Four models of CFA were investigated and assessed: the configural model, the metric model, the scalar model and the residual invariance model. ANOVA was used to test the differences in SET according to academic colleges.

MI analysis showed that the four levels of MI models are supported. ANOVA test showed that means of SET total scores are statistically different according to students' academic colleges. College of “Education” has the highest SET mean (88.64 out of 100), and all the differences between the College of Education’s SET mean and other colleges' SET means are statistically significant.

The study recommends that higher education institutions test the MI of SET according to academic colleges and then use colleges with the highest SET at the university level as internal benchmarking to develop and enhance their teaching practices.

This study is probably the only study that tested MI according to students' colleges before testing the differences between colleges in SET. If MI is not supported, then the comparisons between academic colleges are not applicable.

This paper aims to consolidate empirical studies between 2013 and 2022 to investigate the impact of artificial intelligence (AI) in higher education. It aims to examine published research characteristics and provide insights into the promises and challenges of AI integration in academia.

A systematic literature review was conducted, encompassing 44 empirical studies published as peer-reviewed journal papers. The review focused on identifying trends, categorizing research types and analysing the evidence-based applications of AI in higher education.

The review indicates a recent surge in publications concerning AI in higher education. However, a significant proportion of these publications primarily propose theoretical and conceptual AI interventions. Areas with empirical evidence supporting AI applications in academia are delineated.

The prevalence of theoretical proposals may limit generalizability. Further research is encouraged to validate and expand upon the identified empirical applications of AI in higher education.

This review outlines imperative implications for future research and the implementation of evidence-based AI interventions in higher education, facilitating informed decision-making for academia and stakeholders.

This paper contributes a comprehensive synthesis of empirical studies, highlighting the evolving landscape of AI integration in higher education and emphasizing the need for evidence-based approaches.

The issue of quality assurance in vocational and technical education (VTE) programs identifies a perilous need to develop a conceptual framework for teaching and learning standards. This study aims to identify standard components for teaching and learning to ensure quality delivery for the achievement of VTE objectives. The quality assurance framework for teaching and learning is envisioned as a closed-loop management process that functions as an effective operational scheme to coordinate teaching processes that support the structure for quality assurance in VTE programs.

Survey data were collected through a questionnaire developed to examine the quality standards for teaching and learning in VTE from 259 respondents from colleges of education. The identified quality components for teaching and learning and their quality indicators were analysed.

The conceptual framework for teaching and learning with the 12 quality components and 62 quality indicators is the key standard for improving quality teaching and learning to meet the desired goals of VTE programs.

The framework proposed is flexible and can be applied to many other programs to ensure that teachers are professional enough to teach effectively to provide adequate learning outcomes.