Zoekresultaten

Public Private Learning Communities

Supporting Learning Analytics Adoption

Although learning analytics benefit learning, its uptake by higher educational institutions remains low. Adopting learning analytics is a complex undertaking, and higher educational institutions lack insight into how to build organizational capabilities to successfully adopt learning analytics at scale. This paper describes the ex-post evaluation of a capability model for learning analytics via a mixed-method approach. The model intends to help practitioners such as program managers, policymakers, and senior management by providing them a comprehensive overview of necessary capabilities and their operationalization. Qualitative data were collected during pluralistic walk-throughs with 26 participants at five educational institutions and a group discussion with seven learning analytics experts. Quantitative data about the model’s perceived usefulness and ease-of-use was collected via a survey (n = 23). The study’s outcomes show that the model helps practitioners to plan learning analytics adoption at their higher educational institutions. The study also shows the applicability of pluralistic walk-throughs as a method for ex-post evaluation of Design Science Research artefacts.

A First Step Towards Learning Analytics

From the article: "The educational domain is momentarily witnessing the emergence of learning analytics – a form of data analytics within educational institutes. Implementation of learning analytics tools, however, is not a trivial process. This research-in-progress focuses on the experimental implementation of a learning analytics tool in the virtual learning environment and educational processes of a case organization – a major Dutch university of applied sciences. The experiment is performed in two phases: the first phase led to insights in the dynamics associated with implementing such tool in a practical setting. The second – yet to be conducted – phase will provide insights in the use of pedagogical interventions based on learning analytics. In the first phase, several technical issues emerged, as well as the need to include more data (sources) in order to get a more complete picture of actual learning behavior. Moreover, self-selection bias is identified as a potential threat to future learning analytics endeavors when data collection and analysis requires learners to opt in."

Assessing Problem-Based Learning

Evaluation of the effect of Problem Based Learning course

Working = learning

To adequately deal with the challenges faced within residential care for older people, such as the increasing complexity of care and a call for more person-centred practices, it is important that health care providers learn from their work. This study investigates both the nature of learning, among staff and students working within care for older people, and how workplace learning can be promoted and researched. During a longitudinal study within a nursing home, participatory and democratic research methods were used to collaborate with stakeholders to improve the quality of care and to promote learning in the workplace. The rich descriptions of these processes show that workplace learning is a complex phenomenon. It arises continuously in reciprocal relationship with all those present through which both individuals and environment change and co-evolve enabling enlargement of the space for possible action. This complexity perspective on learning refines and expands conventional beliefs about workplace learning and has implications for advancing and researching learning. It explains that research on workplace learning is itself a form of learning that is aimed at promoting and accelerating learning. Such research requires dialogic and creative methods. This study illustrates that workplace learning has the potential to develop new shared values and ways of working, but that such processes and outcomes are difficult to control. It offers inspiration for educators, supervisors, managers and researchers as to promoting conditions that embrace complexity and provides insight into the role and position of self in such processes.

Leren, werken en innoveren in learning communities

Learning communities worden gezien als een effectieve manier om gezamenlijk te leren en ontwikkelen, werken, innoveren en te onderzoeken. Een manier die mensen verbindt die graag willen leren, ontwikkelen en werken over grenzen van hun organisatie en discipline, en aan een gezamenlijk doel. Het is meer dan af en toe samen komen en met elkaar en van gedachten wisselen, en kan bijdragen aan duurzame inzetbaarheid, persoonlijke ontwikkeling en groei. Maar hoe ziet dat er dan uit? In deze publicatie worden de belangrijkste bouwstenen en handvatten voor een krachtige learning community besproken, en verder toegelicht aan de hand van vier praktijkvoorbeelden: 1) Gas Erop! Learning communities in organisaties, 2) H2Hub Twente - Een learning community tussen meerdere organisaties, 3) Smart Solutions Semester - Een learning community in het onderwijs, en 4) Learning Communities bij HealthTech in Society. Over hoe deze learning communities zijn ontstaan en vormgegeven, hoe zijn gegroeid en wat ze hebben opgeleverd.