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Direct linkKearney, Christopher A.; Childs, Joshua – Improving Schools, 2023
School attendance and absenteeism are critical targets of educational policies and practices that often depend heavily on aggregated attendance/absenteeism data. School attendance/absenteeism data in aggregated form, in addition to having suspect quality and utility, minimizes individual student variation, distorts detailed and multilevel…
Descriptors: Data Analysis, Attendance, Educational Policy, Causal Models
Mathilde Léon; Shoba S. Meera; Anne-Caroline Fiévet; Alejandrina Cristia – Research Ethics, 2024
The last decade has seen a rise in big data approaches, including in the humanities, whereby large quantities of data are collected and analysed. In this paper, we discuss long-form audio recordings that result from individuals wearing a recording device for many hours. Linguists, psychologists and anthropologists can use them, for example, to…
Descriptors: Foreign Countries, Developing Nations, Data Collection, Audio Equipment
Arantes, Janine Aldous; Vicars, Mark – Learning, Media and Technology, 2023
In the recent Australian 2021 census, the socio-technical construct of algorithmically driven decision-making processes made LGBTQI+ data as a category of diversity, inclusion and belonging an absent presence. In this paper, we position the notion of 'data justice' in relation to the entrenchment of inequalities and exclusion of LGBTQI+ lives and…
Descriptors: Foreign Countries, Homosexuality, LGBTQ People, Data
Sahlgren, Otto – Learning, Media and Technology, 2023
As awareness of bias in educational machine learning applications increases, accountability for technologies and their impact on educational equality is becoming an increasingly important constituent of ethical conduct and accountability in education. This article critically examines the relationship between so-called algorithmic fairness and…
Descriptors: Algorithms, Accountability, Data Collection, Educational Policy
Liu, Yi; Xu, TianWei; Xiao, Mengjin – International Journal of Information and Communication Technology Education, 2023
In order to better grasp the needs of library users and provide them with more accurate knowledge services, combining the characteristics of university libraries, this article applies library small data to personalized recommendation and proposes a small data fusion algorithm model for library personalized recommendation. This model combines the…
Descriptors: Research Libraries, Data Collection, Data Analysis, Tables (Data)
Download full textFrazier, Michael Duane – 1994
Computer task automation is part of the natural progression of encoding information. This thesis considers the automation process to be a question of whether it is possible to automatically learn the encoding based on the behavior of the system to be described. A variety of representation languages are considered, as are means for the learner to…
Descriptors: Algorithms, Automation, Coding, Computation
