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Danielle S. McNamara; Tracy Arner; Elizabeth Reilley; Paul Alvarado; Chani Clark; Thomas Fikes; Annie Hale; Betheny Weigele – Grantee Submission, 2022
Accounting for complex interactions between contextual variables and learners' individual differences in aptitudes and background requires building the means to connect and access learner data at large scales, across time, and in multiple contexts. This paper describes the ASU Learning@Scale (L@S) project to develop a digital learning network…
Descriptors: Electronic Learning, Educational Technology, Networks, Learning Analytics
Kachel, Debra E.; Lance, Keith Curry – Grantee Submission, 2021
A survey of all 50 states and District of Columbia was conducted in Fall 2020 to gain background information to inform an Institute of Museum and Library Services (IMLS) grant project called SLIDE: The School Librarian Investigation--Decline or Evolution? As part of the grant, a school library leader, some in a state government/agency position or…
Descriptors: School Libraries, Librarians, State Standards, Certification
Zhang, Zhiyong; Zhang, Danyang – Grantee Submission, 2021
Data science has maintained its popularity for about 20 years. This study adopts a bottom-up approach to understand what data science is by analyzing the descriptions of courses offered by the data science programs in the United States. Through topic modeling, 14 topics are identified from the current curricula of 56 data science programs. These…
Descriptors: Statistics Education, Definitions, Course Descriptions, Computer Science Education