scholarly journals Learning Analytics for Online Discussions: Embedded and Extracted Approaches

2014 ◽  
Vol 1 (2) ◽  
pp. 48-71 ◽  
Author(s):  
Alyssa Wise ◽  
Yuting Zhao ◽  
Simone Hausknecht
Keyword(s):  
Learning Environment ◽  
Research Program ◽  
Learning Analytics ◽  
Online Discussions ◽  
Digital Space ◽  
Asynchronous Online Discussions ◽  
Affective Components ◽  
Real Time Information ◽  
Future Work ◽  
Time Information

This paper describes an application of learning analytics that builds on an existing research program investigating how students contribute and attend to the messages of others in asynchronous online discussions. We first overview the E-Listening research program and then explain how this work was translated into analytics that students and instructors could use to reflect on their discussion participation. Two kinds of analytics were designed: some embedded in the learning environment to provide students with real-time information on their activity in-progress; and some extracted from the learning environment and presented to students in a separate digital space for reflection. In addition, we describe the design of an intervention though which use of the analytics can be introduced as an integral course activity. Findings from an initial implementation of the application indicated that the learning analytics intervention supported changes in students’ discussion participation. Five issues for future work on learning analytics in online discussions are presented. One, unintentional versus purposeful change; two, differing changes prompted by the same analytic; three, importance of theoretical buy-in and calculation transparency for perceived analytic value; four, affective components of students’ reactions; and five, support for students in the process of enacting analytics-driven changes.

scholarly journals Impact of using learning analytics in asynchronous online discussions in higher education

2020 ◽  
Vol 17 (1) ◽  
Author(s):  
Juan Pedro Cerro Martínez ◽  
Montse Guitert Catasús ◽  
Teresa Romeu Fontanillas
Keyword(s):  
Learning Analytics ◽  
Participatory Design ◽  
Online Discussion ◽  
Learning Processes ◽  
Online Discussions ◽  
Communication Process ◽  
Control Groups ◽  
Implementation Phase ◽  
Design Based Research ◽  
Asynchronous Online Discussions

Abstract Following asynchronous online discussion activities as a complex communication process is a demanding task for teachers. In this paper, the authors have explored the potential in supporting such activity through learning analytics. From the beginning, the authors acknowledged the limitations of technology to support the complexities of a pedagogical activity. Therefore, the methodology used was participatory design-based research (DBR) divided into two main stages. The first design phase dealt with the engagement of teachers and pedagogical experts in defining the data and metrics to be used to support the pedagogical concepts. The second consisted of an implementation phase including pilots with students and with crucial engagement of teachers in commenting their understanding over students’ learning processes and the feedback the teachers could offer to them. Overall, the students shown improvements in their performance as monitored through the learning analytics group in contrast with control groups. The discussion over the design and its results could be potentially extrapolated to other educational contexts.

scholarly journals Smart Waste Monitoring System as an Initiative to Develop a Digital Territory in Riobamba City

Information ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 231
Author(s):  
Diego Veloz-Cherrez ◽  
Raúl Lozada-Yanez ◽  
Jesús Rodríguez ◽  
Paúl Mayorga ◽  
Johana Panchi
Keyword(s):  
Real Time ◽  
Local Governments ◽  
Waste Treatment ◽  
Smart System ◽  
Community Transformation ◽  
Reduce Emissions ◽  
Digital Gap ◽  
Real Time Information ◽  
Future Work ◽  
Time Information

Digital territories focus on community transformation through sustainable development, saving resources in local governments, bridging the digital gap, and using technology to build smart infrastructure. This article presents the design and implementation of a smart system, called the Waste Treatment System (WTS), for controlling parameters of waste decomposition in the trash bins installed in Riobamba city (Ecuador). The prototype allows monitoring in real time both the amount of waste and the level of rottenness of garbage by means of the measurement of different parameters that indicate the characteristics of the leachates generated inside. The motivation of this work was to yield an efficient solution to urban waste treatment that optimizes resources in the collection process by providing real-time information to improve collection frequency vehicles and also reduce emissions by the decomposition of organic waste. The tests allowed assessing technical aspects such as the maximum coverage of wireless communication, the transmission channel capacity for each prototype, the data-processing requirements, and other more particular parameters such as the production of leachates due to the frequency of collection and the environmental conditions, which will be useful in future work on environmental impact.

Potential Urban Rainfall Prediction Measurement System

1984 ◽  
Vol 16 (8-9) ◽  
pp. 349-362 ◽  
Author(s):  
John L Vogel
Keyword(s):  
Real Time ◽  
The United States ◽  
Monitoring Systems ◽  
Climatic Region ◽  
Convective Storm ◽  
Rainfall Prediction ◽  
Water Quality Regulations ◽  
General Data ◽  
Real Time Information ◽  
Time Information

Continued growth of urban regions and more stringent water quality regulations have resulted in an increased need for more real-time information about past, present, and future patterns and intensities of precipitation. Detailed, real-time information about precipitation can be obtained using radar and raingages for monitoring and prediction of precipitation amounts. The philosophy and the requirements for the development of real-time radar prediction-monitoring systems are described for climatic region similar to the Midwest of the united States. General data analysis and interpretation techniques associated with rainfall from convective storm systems are presented.

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