Premium
CaseBook: An online environment for problem‐based learning
Author(s) -
Holzman Jennifer L.,
Ram Preetha,
Ram Ashwin
Publication year - 2006
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.20.5.a863-b
Subject(s) - upload , casebook , computer science , curriculum , process (computing) , multimedia , problem based learning , mathematics education , class (philosophy) , psychology , world wide web , pedagogy , artificial intelligence , political science , law , operating system
Problem‐based learning (PBL) is an educational approach that allows students to cultivate their problem solving skills and enhance their ability to perform critical thinking tasks. Current advances in technology have allowed for the integration of computers into many classrooms throughout the K‐16 curriculum. Students and teachers are taking advantage of computers as important enhancements to the educational experience. CaseBook is an interactive computer program that allows students to complete PBL exercises in an online environment. Students are guided through the case scenes by a three‐stage process in which they analyze (collect data), learn (perform research to answer questions), and reflect (review). The simple web‐based interface allows the students to work either individually or in a group, and they are able to work on the case outside of the classroom. Students collect their data and observations in an online Notebook that the instructor can not only read, but the instructor can write back to the students, providing helpful hints and feedback about their progress through the case. Instructors may also enter and edit their case materials at any time, can view all sections of student work, and can upload helpful links and graphics that the students may need to complete the case. Through this online environment, students can participate in the PBL experience in large classes where more traditional PBL methods may be less feasible. Supported by Emory University, GA Institute of Technology, and NSF 0231900.