LEARNER INTERACTIONS AND BEHAVIORAL PATTERNS IN ENTERPRISE MOOCS

18th International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2021 -- 13 October 2021 through 15 October 2021 -- -- 174791This short paper investigates learner behavior in Enterprise MOOCs with the help of interaction patterns. By means of lag sequential analysis, data from 13 openSAP MOOCs from the topic areas business, design, and technology with a total number of N=72,668 active learners have been analyzed. Starting from consistent high-level behavioral patterns, a deeper analysis on the interaction level revealed variations between the course topic areas: Behavioral patterns in technology courses differ from business and design courses. Drawing upon these results, implications for future research are mapped out. © 2021 Virtual Simulation Innovation Workshop, SIW 2021. All rights reserved

Participation and achievement in enterprise MOOCs for professional development: Initial findings from the openSAP university

MOOCs are an emerging trend in the field of professional learning and development. This chapter introduces openSAP, the MOOC offering of SAP SE, as a major example of an Enterprise MOOC provider. In order to gain insights on MOOCs in professional learning, five openSAP courses with a total sample of n = 9994 have been surveyed in an exploratory study. Participation in terms of participants’ characteristics and intentions as well as actual achievement has been analyzed. Results indicate that Enterprise MOOCs can be a valuable tool for professional learning on a global scale. However, current usage does not necessarily focus on digital workplace learning. Moreover, Enterprise MOOCs seem to call for alternative perspectives on measuring achievement. Implications for future research are discussed

Detection of landfill cover damage using geophysical methods

On closed landfills, impermeable covers are capping the waste in order to minimize water infiltration and accumulation of leachate inside the waste. In France, the cover composition depends notably on the kind of stored waste. In cases of hazardous waste, the cover must be composed of a drainage layer under the top soil and a geomembrane or a Geosynthetic Clay Liner (GCL) associated with an underlying 1.0 m thick low permeability material to ensure its tightness. However, this protection cover is sometimes damaged leading to an escape of landfill gazes and an unusual increase of leachate within the waste after rainy events. As leachate treatment is very expensive, it appears necessary to locate the weakness zones of the cover and assess their sizes in order to limit maintenance cost on landfills. In order to detect damages in the cover, the 2 following geophysical methods have been carried out on a French landfill: cartography with an Automatic Resistivity Profiling (ARP©), the Electrical Resistivity Tomography (ERT) and the Self Potential method (SP). The joint use of these methods has given us the opportunity to determine the contribution of each of them for cover's characterization. The ARP survey has put in evidence the lateral heterogeneity of cover materials on the whole landfill. The ERT has confirmed the variability of the cover composition but also provided information about the cover thickness and the damaging of the GCL. SP measurements have revealed a negative anomaly at the top of the landfill, possibly linked with a thin and damaged cover and therefore a greater proximity of waste. Finally, manual augers holes have enabled to associate electrical resistivity properties with different materials used in the cover and the damaged GCL. This study on a hazardous waste landfill shows that geophysical methods associated with manual auger holes have allowed to improve the knowledge of the cover. Thus, the damaged areas detected thanks to measurements performed on site may be useful for the landfill manager who can optimize the drilling survey necessary to check the nature of defects and then choose a suited remediation of the cover