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Mary Rodriguez; Kim E. Dooley; T. Grady Roberts – Journal of Experiential Education, 2024
Background: College students need the ability to generalize and apply solutions through reflective practice. University faculty need professional development to use authentic cases to prepare students for the future. Purpose: This study was to explore the experiences of faculty through a year-long professional development program that included a…
Descriptors: Phenomenology, Experiential Learning, Reflection, Generalization
Hawkins, Michael; Williams, Elmer – 1972
One of the primary teaching tasks of an elementary school social studies teacher is that of helping pupils interpret the numerous sources of data found in a social studies program. The purpose of this self-instructional teacher education module is to develop proficiency in utilizing data interpretation process. A sequence of activities is designed…
Descriptors: Autoinstructional Aids, Behavioral Objectives, Data Analysis, Elementary Education
Forbus, Kenneth D.; Gentner, Dedre – 1986
People use and extend their knowledge of the physical world constantly. Understanding how this fluency is achieved would be an important milestone in understanding human learning and intelligence, as well as a useful guide for constructing machines that learn. This paper presents a theoretical framework that is being developed in an attempt to…
Descriptors: Artificial Intelligence, Computer Uses in Education, Concept Formation, Elementary School Science
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection