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Download full textChristie, 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
Using Web-Based Collaborative Forecasting to Enhance Information Literacy and Disciplinary Knowledge
Direct linkBuckley, Patrick; Doyle, Elaine – Interactive Learning Environments, 2016
This paper outlines how an existing collaborative forecasting tool called a prediction market (PM) can be integrated into an educational context to enhance information literacy skills and cognitive disciplinary knowledge. The paper makes a number of original contributions. First, it describes how this tool can be packaged as a pedagogical…
Descriptors: Prediction, Information Literacy, Information Skills, Decision Support Systems
Peer reviewedKim, Tai-Ho; Kim, Young-Hye – Asia Pacific Education Review, 2001
Experimental study of the effect of computer-assisted career guidance program on career development of South Korean 9th- and 11th-grade students measured by pre-post test scores on instrument to determine career-conscious development of adolescents. Finds significantly higher mean posttest career-conscious scores in experimental group. One of…
Descriptors: Adolescents, Age Differences, Career Guidance, Computer Software
