No abstract

No abstract

With few exceptions, currently published research on the educational use of wikis does not include how the learning activities should be "shaped, planned or enforced" in a wiki [11]. In this paper we aim to fill that gap by providing a framework for learning and teaching processes supported by the use of wikis. An instance of that process framework ("feedback-driven" process) was formulated and implemented through a series of trials performed at University of Hertfordshire Business School during the course of the last two academic years to 2006/7. The results of the trial have been collected and analyzed using the quantitative and qualitative methods and have led to the conclusion that students' engagement with wiki-based learning activities is directly proportional to the quality and frequency of tutor's feedback and the clarity of the underlying learning and teaching process. on criticality, clarity, structure and linkage; • to provide support for different learning styles via an "inherently democratic medium" [10];• to support international students by providing examples of good writing; • to reduce plagiarism by making students' work public.

No abstract

IntroductionArtificial intelligence (AI) offers great potential for transforming healthcare delivery leading to better patient-outcomes and more efficient care delivery. However, despite these advantages, integration of AI in healthcare has not kept pace with technological advancements. Previous research indicates the importance of understanding various organisational factors that shape integration of new technologies in healthcare. Therefore, the aim of this study is to provide an overview of the existing organisational factors influencing adoption of AI in healthcare from the perspectives of different relevant stakeholders. By conducting this review, the various organisational factors that facilitate or hinder AI implementation in healthcare could be identified.Methods and analysisThis study will follow the Joanna Briggs Institute framework, which includes the following stages: (1) defining and aligning objectives and questions, (2) developing and aligning the inclusions criteria with objectives and questions, (3) describing the planned approach to evidence searching and selection, (4) searching for the evidence, (5) selecting the evidence, (6) extracting the evidence, (7) charting the evidence, and summarising the evidence with regard to the objectives and questions.The databases searched will be MEDLINE (Ovid), CINAHL (Plus), PubMed, Cohrane Library, Scopus, MathSciNet, NICE Evidence, OpenGrey, O’REILLY and Social Care Online from January 2000 to June 2021. Search results will be reported based on The Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews guidelines. The review will adopt diffusion of innovations theory, technology acceptance model and stakeholder theory as guiding conceptual models. Narrative synthesis will be used to integrate the findings.Ethics and disseminationEthics approval will not be sought for this scoping review as it only includes information from previously published studies. The results will be disseminated through publication in a peer-reviewed journal. In addition, to ensure its findings reach relevant stakeholders, they will be presented at relevant conferences.