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Carrillo, Ana Luisa Martínez – International Society for Technology, Education, and Science, 2020
Currently, the use of technology in education has become more popular. Special attention has been given to the adaptation of computer technology into the teaching-learning process for effective learning and increasing students' achievement. In recent years, it has been realized that there is an immense benefit in applying computer technology in…
Descriptors: Information Technology, Technological Literacy, Teaching Methods, Archaeology
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Christie, S. Thomas; Jarratt, Daniel C.; Olson, Lukas A.; Taijala, Taavi T. – International Educational Data Mining Society, 2019
Schools across the United States suffer from low on-time graduation rates. Targeted interventions help at-risk students meet graduation requirements in a timely manner, but identifying these students takes time and practice, as warning signs are often context-specific and reflected in a combination of attendance, social, and academic signals…
Descriptors: Dropout Prevention, At Risk Students, Artificial Intelligence, Decision Support Systems
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Stewart, Victoria C.; Schlemper, Beth; Shetty, Sujata; Czajkowski, Kevin – AERA Online Paper Repository, 2017
Student participation in real-world problems promotes "a sense of their own agency andcollective capacity to alter their neighbourhoods or communities for the better" (Smith, 2007).This paper describes student engagement in a two-week summer workshop conducted in June2016, where they used geospatial technologies and community mapping to…
Descriptors: Critical Theory, Place Based Education, Geographic Information Systems, Spatial Ability
Lacefield, Warren E.; Applegate, E. Brooks; Zeller, Pamela J.; Van Kannel-Ray, Nancy; Carpenter, Shelly – Online Submission, 2011
This study describes a well-defined data-driven diagnostic identification and selection procedure for choosing students at-risk of academic failure for appropriate academic support services. This algorithmic procedure has been validated both by historical quantitative studies of student precedents and outcomes as well as by current qualitative…
Descriptors: Academic Failure, At Risk Students, Identification, Information Systems