scholarly journals Enriching context descriptions for enhanced LA scalability: a case study

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Jeanette Samuelsen ◽  
Weiqin Chen ◽  
Barbara Wasson
Keyword(s):  
Data Integration ◽  
Real World ◽  
Academic Community ◽  
Learning Activity ◽  
Learning Context ◽  
Multiple Sources ◽  
Data Standards ◽  
Activity Data ◽  
Multiple Data

AbstractLearning analytics (LA) is a field that examines data about learners and their context, for understanding and optimizing learning and the environments in which it occurs. Integration of multiple data sources, an important dimension of scalability, has the potential to provide rich insights within LA. Using a common standard such as the Experience API (xAPI) to describe learning activity data across multiple sources can alleviate obstacles for data integration. Despite their potential, however, research indicates that standards are seldom used for integration of multiple sources in LA. Our research aims to understand and address the challenges of using current learning activity data standards for describing learning context with regard to interoperability and data integration. In this paper, we present the results of an exploratory case study involving in-depth interviews with stakeholders having used xAPI in a real-world project. Based on the subsequent thematic analysis of interviews, and examination of xAPI, we identified challenges and limitations in describing learning context data, and developed recommendations (provided in this paper in summarized form) for enriching context descriptions and enhancing the expressibility of xAPI. By situating the research in a real-world setting, our research also contributes to bridge the gap between the academic community and practitioners in learning activity data standards and scalability, focusing on description of learning context.

scholarly journals Applying the PECSL: using case studies to demonstrate the Pedagogy of Experience Complexity for Smart Learning

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Pen Lister
Keyword(s):  
Real World ◽  
Mobile Apps ◽  
Urban Environments ◽  
Learning Activities ◽  
Learning Activity ◽  
Opportunities To Learn ◽  
Practical Application ◽  
Design And Development ◽  
Smart Learning

AbstractThis paper discusses the uses and applications of the Pedagogy of Experience Complexity for Smart Learning (PECSL), a four-tier model of considerations for the design and development of smart learning activities. Using existing mobile apps and relevant activities as illustrative examples, the PECSL is applied to indicate concepts and mechanisms by which useful pedagogical considerations can work alongside user-centred design principles for the design and development of smart learning in urban hyper-localities. Practical application of the model is discussed using real world examples of activities as a basis to demonstrate the potential for manifold opportunities to learn, and plan for experience complexity in a smart learning activity. Case study approaches reflect on aspects of the PECSL in how it might be a useful and pragmatic guide to some of the issues faced when designing digital citizen learning activities in complex urban environments.

scholarly journals A Multimodal Real-Time Feedback Platform Based on Spoken Interactions for Remote Active Learning Support

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6337
Author(s):  
Hector Cornide-Reyes ◽  
Fabián Riquelme ◽  
Diego Monsalves ◽  
Rene Noel ◽  
Cristian Cechinel ◽  
...  
Keyword(s):  
Collaborative Learning ◽  
Real Time ◽  
Learning Activities ◽  
Process Efficiency ◽  
Learning Activity ◽  
Multimodal Learning ◽  
Learning Context ◽  
Verbal Interactions ◽  
Correct Execution

While technology has helped improve process efficiency in several domains, it still has an outstanding debt to education. In this article, we introduce NAIRA, a Multimodal Learning Analytics platform that provides Real-Time Feedback to foster collaborative learning activities’ efficiency. NAIRA provides real-time visualizations for students’ verbal interactions when working in groups, allowing teachers to perform precise interventions to ensure learning activities’ correct execution. We present a case study with 24 undergraduate subjects performing a remote collaborative learning activity based on the Jigsaw learning technique within the COVID-19 pandemic context. The main goals of the study are (1) to qualitatively describe how the teacher used NAIRA’s visualizations to perform interventions and (2) to identify quantitative differences in the number and time between students’ spoken interactions among two different stages of the activity, one of them supported by NAIRA’s visualizations. The case study showed that NAIRA allowed the teacher to monitor and facilitate the learning activity’s supervised stage execution, even in a remote learning context, with students working in separate virtual classrooms with their video cameras off. The quantitative comparison of spoken interactions suggests the existence of differences in the distribution between the monitored and unmonitored stages of the activity, with a more homogeneous speaking time distribution in the NAIRA supported stage.

Qualitative Case Study Research Design

2015 ◽  
Vol 25 (1) ◽  
pp. 39-45 ◽  
Author(s):  
Jennifer Tetnowski
Keyword(s):  
Research Design ◽  
Real World ◽  
Qualitative Case Study ◽  
Case Study Research ◽  
Study Research

Qualitative case study research can be a valuable tool for answering complex, real-world questions. This method is often misunderstood or neglected due to a lack of understanding by researchers and reviewers. This tutorial defines the characteristics of qualitative case study research and its application to a broader understanding of stuttering that cannot be defined through other methodologies. This article will describe ways that data can be collected and analyzed.

THE VALUE OF DATA INTEGRATION IN A COMPLEX WELL SCENARIO: A CASE STUDY FROM THE WEST NETHERLANDS

2020 ◽  
Author(s):  
Abhinandan Kohli ◽  
◽  
Emile Fokkema ◽  
Oscar Kelder ◽  
Zulkifli Ahmad ◽  
...  
Keyword(s):  
Data Integration ◽  
The West ◽  
Complex Well

Polytechnic to Business Project (P2B) a Case of Innovation and Knowledge Transference

2019 ◽  
Vol 6 (1) ◽  
pp. 40-49
Author(s):  
Teresa Paiva
Keyword(s):  
Knowledge Transfer ◽  
Best Practices ◽  
Education Institution ◽  
Theoretical Background ◽  
Transfer Model ◽  
Case Study Method ◽  
Multiple Sources ◽  
The Subject ◽  
Manage Innovation

Background: The theoretical background of this article is on the model developed of knowledge transfer between universities and the industry in order to access the best practices and adapt to the study case in question regarding the model of promoting and manage innovation within the universities that best contribute with solution and projects to the business field. Objective: The development of a knowledge transfer model is the main goal of this article, supported in the best practices known and, also, to reflect in the main measurement definitions to evaluate the High Education Institution performance in this area. Methods: The method for this article development is the case study method because it allows the fully understanding of the dynamics present within a single setting, and the subject examined to comprehend what is being done and what the dynamics mean. The case study does not have a data collection method, as it is a research that may rely on multiple sources of evidence and data which should be converged. Results: Since it’s a case study this article present a fully description of the model proposed and implemented for the knowledge transfer process of the institution. Conclusion: Still in a discussion phase, this article presents as conclusions some questions and difficulties that could be pointed out, as well as some good perspectives of performed activity developed.

scholarly journals Accessible Routes Integrating Data from Multiple Sources

2020 ◽  
Vol 10 (1) ◽  
pp. 7
Author(s):  
Miguel R. Luaces ◽  
Jesús A. Fisteus ◽  
Luis Sánchez-Fernández ◽  
Mario Munoz-Organero ◽  
Jesús Balado ◽  
...  
Keyword(s):  
Information System ◽  
Data Model ◽  
Large Scale ◽  
Heterogeneous Data ◽  
Multiple Sources ◽  
Heterogeneous Data Sources ◽  
Different Types ◽  
Software Sensors ◽  
The City

Providing citizens with the ability to move around in an accessible way is a requirement for all cities today. However, modeling city infrastructures so that accessible routes can be computed is a challenge because it involves collecting information from multiple, large-scale and heterogeneous data sources. In this paper, we propose and validate the architecture of an information system that creates an accessibility data model for cities by ingesting data from different types of sources and provides an application that can be used by people with different abilities to compute accessible routes. The article describes the processes that allow building a network of pedestrian infrastructures from the OpenStreetMap information (i.e., sidewalks and pedestrian crossings), improving the network with information extracted obtained from mobile-sensed LiDAR data (i.e., ramps, steps, and pedestrian crossings), detecting obstacles using volunteered information collected from the hardware sensors of the mobile devices of the citizens (i.e., ramps and steps), and detecting accessibility problems with software sensors in social networks (i.e., Twitter). The information system is validated through its application in a case study in the city of Vigo (Spain).

scholarly journals Students’ Use of Resources in a Challenge-Based Learning Context Involving Mathematics

2021 ◽  
Author(s):  
Birgit Pepin ◽  
Zeger-jan Kock
Keyword(s):  
Linear Algebra ◽  
Complex Environments ◽  
Learning Context ◽  
University Teachers ◽  
Study Approach ◽  
Use Of Resources ◽  
Challenge Based Learning ◽  
Traditional Courses ◽  
Education Of Students

AbstractIn this study we use a case study approach to investigate what kinds of resources were self-reported to have been selected by students working on their Challenge-Based bachelor end projects, and how they used and orchestrated these resources. In a previous study, we had explored students’ use of resources and their Actual Student Study Paths in Calculus and Linear Algebra courses (Pepin and Kock 2019); in this study we turned to students working on their Challenge-Based bachelor end projects. Results show that the students working on Challenge-Based projects used resources outside the realm of curriculum resources offered to them in traditional courses, and the Actual Student Study Paths were iterative. We contend that ‘linear’ study paths (found e.g. in traditionally taught Linear Algebra courses) appeared to have been beneficial for students for studying particular mathematical content, which they needed for solving open challenges. In the Challenge-Based projects, the crucial resource emerged to be the tutor. We claim that this has implications for the introduction of a more Challenge-Based curriculum, where such projects would be the norm, both in terms of the professionalization of university teachers (who coach students through such projects), and for the education of students who opt for such projects: teachers have to be supported to develop as appropriate coaches in such complex environments; students have to become self-directed learners, and need to be supported with challenged-based trained coaches and teachers, in addition to be provided with suitable curricular, technological, and social resources.

A Modified CGM Algorithm Enhances Data Availability While Retaining iCGM Performance

2021 ◽  
pp. 193229682110075
Author(s):  
Rebecca A. Harvey Towers ◽  
Xiaohe Zhang ◽  
Rasoul Yousefi ◽  
Ghazaleh Esmaili ◽  
Liang Wang ◽  
...  
Keyword(s):  
Data Integration ◽  
Patient Experience ◽  
Real World ◽  
Data Availability ◽  
Post Processing ◽  
Sensor Error ◽  
The Mean ◽  
The Difference ◽  
Data Gap ◽  
Improve Patient

The algorithm for the Dexcom G6 CGM System was enhanced to retain accuracy while reducing the frequency and duration of sensor error. The new algorithm was evaluated by post-processing raw signals collected from G6 pivotal trials (NCT02880267) and by assessing the difference in data availability after a limited, real-world launch. Accuracy was comparable with the new algorithm—the overall %20/20 was 91.7% before and 91.8% after the algorithm modification; MARD was unchanged. The mean data gap due to sensor error nearly halved and total time spent in sensor error decreased by 59%. A limited field launch showed similar results, with a 43% decrease in total time spent in sensor error. Increased data availability may improve patient experience and CGM data integration into insulin delivery systems.

Sign in / Sign up

Export Citation Format

Share Document