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The purpose of this research is to enable dynamic customization of metadata that describes educational resources in digital repositories.

Users need to describe educational resources in digital repositories according to a user-specific metadata set. As users generally do not have the skills to customize the software application manually, this approach relies on the techniques of model-driven software engineering, which should allow customization of the software application programmatically with no need to develop or order a new software application. An experiment was conducted to evaluate the proposed solution.

A software platform for managing educational resources described by dynamically extendable metadata is proposed. The platform enables the creation of data models that are programmatically transformed to a Web application for the management of educational resources. In this way, users can create their own models of metadata that are relevant in a particular domain.

The solution has been verified by users with technical knowledge. The appropriateness of the model should still be explored for domain experts with little technical knowledge who desire to define new metadata in their domain.

The solution can be used for digital repositories that store diverse educational resources. Each resource could be described using metadata that relates to the domain the resource belongs to.

Digital repositories standardly describe educational resources using some general metadata, which are more focused on the physical characteristics of resources rather than their semantics. The proposed solution introduces custom domain-specific semantics into the description of the resources, which improves their retrieval.

The scientific community shares a heritage of knowledge generated by several different fields of research. Identifying how scientific interest evolves is relevant for recording and understanding research trends and society’s demands.

This article presents SciBR-M, a novel method to identify scientific interest evolution from bibliographic material based on Formal Concept Analysis. The SciBR-M aims to describe the thematic evolution surrounding a field of research. The method begins by hierarchically organising sub-domains within the field of study to identify the themes that are more relevant. After this organisation, we apply a temporal analysis that extracts implication rules with minimal premises and a single conclusion, which are helpful to observe the evolution of scientific interest in a specific field of study. To analyse the results, we consider support, confidence, and lift metrics to evaluate the extracted implications.

The authors applied the SciBR-M method for the Educational Data Mining (EDM) field considering 23 years since the first publications. In the digital libraries context, SciBR-M allows the integration of the academy, education, and cultural memory, in relation to a study domain.

Cultural changes lead to the production of new knowledge and to the evolution of scientific interest. This knowledge is part of the scientific heritage of society and should be transmitted in a structured and organised form to future generations of scientists and the general public.

The method, based on Formal Concept Analysis, identifies the evolution of scientific interest to a field of study. SciBR-M hierarchically organises bibliographic material to different time periods and explores this hierarchy from proper implication rules. These rules permit identifying recurring themes, i.e. themes subset that received more attention from the scientific community during a specific period. Analysing these rules, it is possible to identify the temporal evolution of scientific interest in the field of study. This evolution is observed by the emergence, increase or decrease of interest in topics in the domain. The SciBR-M method can be used to register and analyse the scientific, cultural heritage of a field of study. In addition, the authors can use the method to stimulate the process of creating knowledge and innovation and encouraging the emergence of new research.

Interaction content is created during online learning interaction for the exchanged information to convey experience and share knowledge. Prior studies have mainly focused on the quantity of online learning interaction content (OLIC) from the perspective of types or frequency, resulting in a limited analysis of the quality of OLIC. Domain concepts as the highest form of interaction are shown as entities or things that are particularly relevant to the educational domain of an online course. The purpose of this paper is to explore a new method to evaluate the quality of OLIC using domain concepts.

This paper proposes a novel approach to automatically evaluate the quality of OLIC regarding relevance, completeness and usefulness. A sample of OLIC corpus is classified and evaluated based on domain concepts and textual features.

Experimental results show that random forest classifiers not only outperform logistic regression and support vector machines but also their performance is improved by considering the quality dimensions of relevance and completeness. In addition, domain concepts contribute to improving the performance of evaluating OLIC.

This paper adopts a limited sample to train the classification models. It has great benefits in monitoring students’ knowledge performance, supporting teachers’ decision-making and even enhancing the efficiency of school management.

This study extends the research of domain concepts in quality evaluation, especially in the online learning domain. It also has great potential for other domains.

To develop and implement an educational programme to improve medical students’ attitudes towards intellectual disabilities. The purpose of this paper is to improve the healthcare outcomes for individuals with intellectual disability.

The development of an educational programme involving actors with an intellectual disability as simulated patients. Scenarios were developed involving basic healthcare interactions. The programme was piloted in three sessions with 45 students. A qualitative analysis of student feedback was then used to develop a student attitude questionnaire for completion pre- and post-educational intervention.

The student attitude questionnaire was completed by 23 different medical students. Two domains were analysed: affect and understanding domain scores, mean difference (95% CI) 3.17(2.41-3.94) p<0.001, knowledge and skills domain scores, mean difference (95% CI) 4.22(3.3-5.14) p<0.001.

Student feedback reveals significant positive changes in affect and understanding, and an improvement in knowledge and skill levels when interacting with people with an intellectual disability following the educational intervention. Some major institutions now offer comprehensive programmes involving people with intellectual disabilities as tutors, and in the role of simulated patients. However, more needs to be done to encourage the increased participation and good practice for all of tomorrow’s doctors to benefit.

Following the publication of recent enquiries into the deaths of people with intellectual disabilities. We know that many of these deaths are premature and potentially preventable. The main failing identified repeatedly is that healthcare staff lack of awareness of the needs of people with intellectual disabilities. This emanates from poor quality and limited curricula time dedicated to intellectual disabilities. There is a need to drastically change the approach to teaching about intellectual disabilities to medical students. All the evidence promotes the involvement of people with intellectual disabilities and their careers in designing and delivering this teaching.

The purpose of this paper is to explore theoretical connections between educational leadership for social justice and support for immigration. The authors seek to identify strengths, weaknesses and opportunities for further study and improved practice.

This is a theoretical research paper that introduces, evaluates and expands two frameworks for understanding leadership and immigration.

Findings suggested that there is a need for educational leadership scholars to more purposefully investigate issues related to social justice and immigration.

This study offers a novel theoretical perspective on leadership, social justice and immigration.

The purpose of this article is to describe the aims, rationale and design of a principal preparation programme that draws, partially, on career stage perspectives, and to provide an assessment report of it gleaned from two cohort groups of participants.

The programme was evaluated using two modes of inquiry: an open‐ended questionnaire aimed at examining the participants' perceived benefits of every course, and a semi‐structured interview with six participants intended to gain more understanding of the interpretations of the programme's unique contents.

Despite some criticism, most participants found the field‐based courses and those based on career‐stage theories to be of much benefit to their professional development, in terms of managerial awareness and identity. In contrast, courses that centred on broad knowledge or focused, to a large extent, on theories and academic knowledge were perceived to be of lesser importance.

It is suggested that those planning future principal preparation programmes should devise courses that handle issues of career transitions, early career stage, stress, burnout, mid‐career, self‐renewal and the like, to enable principal candidates to internalize the high complexity of the principal's role and the many barriers they are likely to encounter during their career cycle.

To the best of the authors' knowledge, the paper presents an initial attempt to incorporate knowledge from the area of career development in the form of specific courses that are intended to evoke an awareness of future internal career experiences of principals.

Organizational embeddedness of employees who are experiencing their work as a calling is of high relevance. Understanding what promotes staying in organizations can provide benefits for individuals with a calling while at the same time helping organizations to retain those valuable employees. Therefore, the purpose of this study was to investigate how and when experiencing work as a calling relates to organizational embeddedness (OE). Based on assumptions from the theory of work adjustment (TWA), the authors hypothesized a conditional effects model with feedback from others and role clarity as moderating variables.

For this longitudinal study, the authors collected data at two measurement time points (N = 553). To tests the hypotheses, the authors performed hierarchical regression analysis. Additionally, the authors conducted simple slope tests to calculate the effects of calling on OE, depending on the different levels of the moderators.

The results indicated that higher levels of experiencing a calling are associated with higher levels of OE 18 months later while controlling for the initial levels of OE. Additionally, the moderation analysis revealed that feedback from others and role clarity strengthened the relationship between experiencing a calling and OE. Interestingly, for individuals with low feedback from others and low role clarity, experiencing a calling was not related to OE.

Addressing recent research calls that highlight more research on boundary conditions and diverse theoretical perspectives, this study contributes to the literature on calling and organizational retention and provides a more individual and career-related view of potential predictors of OE.

In a fast evolving labour market, higher education graduates need to develop employability competences. Key in becoming employable is the ability to reflect on learning experiences, both within a curriculum as well as extra-curricular and work placements. This paper wants to conceptualise how an online learning platform might entail a reflective practice that systematically supports students in reflecting on their learning experiences.

When studying online learning platforms for developing students' employability competences, it became clear that the effectiveness of the platform depends on how the platform guides students' reflective practice. In turn, the authors studied which features (tools, services and resources) of the online learning platform are guiding the reflective practice.

This resulted in the introduction of an online learning platform, containing a comprehensive set of online learning tools and services, which supports students' reflective practice and, in turn, their employability competences. The online platform facilitates both feedback from curricular and work-related learning experiences and can be used as a start by students for showcasing their employability competences. The reflective practice consists of a recurrent, systematic process of reflection, containing various phases: become aware, analyse current state, draft and plan a solution, take action and, finally, reflect in and on action.

Future research revolves around studying the features of online learning platforms and their role in fostering students' reflection and employability competences.

The conceptual model provides concrete indicators on how to implement online learning platforms for supporting students' reflection and employability competences.

This is the first article that analyses an online learning platform that guides students' reflective practice and fosters their employability competences. The authors provide concrete suggestions on how to model the online platform, building further on reflective practice theory.

The purpose of this paper is to get a first approximation of the usefulness of online forums with regard to information seeking and knowledge generation.

This study captures the characteristics of knowledge generation by examining the pragmatics and types of information needs of posted questions and by investigating knowledge related characteristics of discussion posts as well as the success of communication. Three online forums were examined. The data set consists of 55 threads, containing 533 posts which were categorized manually by two researchers.

Results show that questioners often ask for personal estimations. Information needs often aim for actionable insights or uncertainty reduction. With regard to answers, factual information is the dominant content type and has the highest knowledge value as it is the strongest predictor with regard to the generation of new knowledge. Opinions are also relevant, but in a rather subsequent and complementary way. Emotional aspects are scarcely observed. Overall, results indicate that knowledge creation predominantly follows a socio-cultural paradigm of knowledge exchange.

Although the investigation captures important aspects of knowledge building processes, the measurement of the forums’ knowledge value is still rather limited. Success is only partly measurable with the current scheme. The central coding category “new topical knowledge” is only of nominal value and therefore not able to compare different kinds of knowledge gains in the course of discussion.

The investigation reaches out beyond studies that do not consider that the role and relevance of posts is dependent on the state of the discussion. Furthermore, the paper integrates two perspectives of knowledge value: the success of the questioner with regard to the expressed information need and the knowledge building value for communicants and readers.