Citizen science, engagement and transformative learning: a study of the co-construction of a neuroscience research project in Catalonia
نویسندگان
چکیده
Citizen science can raise people’s understanding of science while helping scientists to conduct their research. Yet, its potential for driving transformative learning is empirically underexplored. We present the results of focus groups and participant observation with secondary-school students engaged in the first three years of a citizen science project, from the formulation of the research questions to data analysis and discussion. Students learnt about and increased their interest in neuroscience. They were also able to reflect on the role of science for society and valued their involvement as active participants in the research. We discuss the opportunities and challenges of approaching citizen science for transformative learning.
منابع مشابه
Machine Learning and Citizen Science: Opportunities and Challenges of Human-Computer Interaction
Background and Aim: In processing large data, scientists have to perform the tedious task of analyzing hefty bulk of data. Machine learning techniques are a potential solution to this problem. In citizen science, human and artificial intelligence may be unified to facilitate this effort. Considering the ambiguities in machine performance and management of user-generated data, this paper aims to...
متن کاملAn integrated Assessment System of Citizen Reaction towards Local Government Social Media Accounts
Agovernmentshouldusesocialmediaforcommunicatingwithitscitizen.Theengagement index score is one of the methods for assessing the rate of governmental success in using social media as a tool in establishing interactive relationships with its citizen. In general, the engagement index score is obtained by calculating the number of posts, number of likes and comments, and so forth on a single social...
متن کاملTBM Tunneling Construction Time with Respect to Learning Phase Period and Normal Phase Period
In every tunnel boring machine (TBM) tunneling project, there is an initial low production phase so-called the Learning Phase Period (LPP), in which low utilization is experienced and the operational parameters are adjusted to match the working conditions. LPP can be crucial in scheduling and evaluating the final project time and cost, especially for short tunnels for which it may constitute a ...
متن کاملRelationship between Safety Investment and Safety Performance Indices Considering the Project Hazard Level in Construction Industry
Introduction: Each country needs to preserve its human capital through preventing accidents for its development. Therefore, this study is carried out to study the relationship between safety investments and safety performance indices considering the interactive effect of the project hazard level in construction industry. Material and Methods: This study was conducted using multiple case studie...
متن کاملTime Prediction Using a Neuro-Fuzzy Model for Projects in the Construction Industry
This paper presents a prediction model based on a new neuro-fuzzy algorithm for estimating time in construction projects. The output of the proposed prediction model, which is employed based on a locally linear neuro-fuzzy (LLNF) model, is useful for assessing a project status at different time horizons. Being trained by a locally linear model tree (LOLIMOT) learning algorithm, the model is int...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2016