ABSTRACT
As a result of the COVID-19 pandemic, the learning and evaluation processes have been moved to an online modality to keep social distance and reduce the spreading of the virus. The strategies implemented for assessment and proctoring in this online remote teaching and assessment emergency are no exception when proctoring test-takers. This problem is addressed from a practical context of study: the English Language Proficiency Tests of a University in southeast Mexico. Considering an iterative user-centered mixed methodology, a set of dashboards was designed, implemented and evaluated to visualize the information generated by test-takers during the administration process. An increase in the Usability of the dashboards is observed in all heuristic categories, with visual design being greater. The use of the mixed methodology and the constant user feedback during the process helped us to reduce development time compared with other works found in the literature. Moreover, it is possible to use the proposed dashboards in other application domains like medicine, or care facilities where user activity monitoring is needed to make informed decisions. categoryHuman-centered computing;Information visualization
ABSTRACT
The learning mechanisms and the evaluation process have been moved to an online mode in order to maintain social distancing and reduce the spread of the COVID-19. E-learning initiatives (including assessment and proctoring) produce a large amount of data, so visualization mechanisms are required to support the decision-making process. This problem is addressed from a practical context of study: the English Language Certification Tests of a University in the southeast of Mexico. The conceptual design of four conceptual dashboards are presented using a mixed methodology: the UCD process and a conceptual model for a dashboard generator process. The four conceptual dashboards were evaluated by five experts. Although the design proposals were simple and reflected most initial user requirements, the experts suggested to include more elements in all the dashboards to provide the information needed for the intended users and improve the decision-making process. © 2021 ACM.