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Stephen Downes – International Association for Development of the Information Society, 2023
Data literacy is the ability to collect, manage, evaluate, and apply data, in a critical manner. It is a relatively new field of study, dating only from the 2010s. It includes the skills necessary to discover and access data, manipulate data, evaluate data quality, conduct analysis using data, interpret results of analyses, and understand the…
Descriptors: Statistics Education, Data Analysis, Ethics, Data Use
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Kai Li – International Association for Development of the Information Society, 2023
Assessing students' performance in online learning could be executed not only by the traditional forms of summative assessments such as using essays, assignments, and a final exam, etc. but also by more formative assessment approaches such as interaction activities, forum posts, etc. However, it is difficult for teachers to monitor and assess…
Descriptors: Student Evaluation, Online Courses, Electronic Learning, Computer Literacy
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Calvera-Isabal, Miriam; Varas, Nuria; Santos, Patricia – International Association for Development of the Information Society, 2021
This paper describes a preliminary study of how computational methods allow us to know more about citizen science and its connection with education. Citizen science is a practice involving a general public in scientific tasks and generating knowledge and scientific results. Previous studies have shown that the education sector can take benefit of…
Descriptors: Citizen Participation, Scientific Research, Science and Society, Science Education
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Gril, Albane; May, Madeth; Renault, Valérie; George, Sébastien – International Association for Development of the Information Society, 2021
In Technology Enhanced Learning field, learning analytics cover multiple research challenges, among which tracking data analysis and data indicator design and visualization. Part of our research effort is dedicated to changing their design process, in order to capitalize them. This would allow us to meet a need in cost savings of design workflow…
Descriptors: Comparative Analysis, Data Analysis, Cost Effectiveness, Data Use