A foundation for machine learning in design

This paper presents a formalism for considering the issues of learning in design. A foundation for machine learning in design (MLinD) is defined so as to provide answers to basic questions on learning in design, such as, "What types of knowledge can be learnt?", "How does learning occur?", and "When does learning occur?". Five main elements of MLinD are presented as the input knowledge, knowledge transformers, output knowledge, goals/reasons for learning, and learning triggers. Using this foundation, published systems in MLinD were reviewed. The systematic review presents a basis for validating the presented foundation. The paper concludes that there is considerable work to be carried out in order to fully formalize the foundation of MLinD

Learning Disabled Student Needs Met Through Curriculum Redesign of the Illinois Agricultural Education Core Curriculum

This quasi–experimental pilot study included agricultural education students with Specific Learning Disabilities (SLD) in five high schools in the federally designated economically distressed area called the Illinois Delta Region. A unit of instruction taken from the existing 165 units of The Illinois Core Curriculum for Agriculture was redesigned in a manner appropriate to SLD students. Students from the five selected programs were randomly assigned to treatment and control groups. Results from pre– and posttests in this study found the redesigned curriculum for SLD students effectively increased learning for both SLD and traditional students

SMEs COMPETITIVE ADVANTAGE AND ENTERPRISE RESOURCE PLANNING IMPLEMENTATION: FINDING FROM CENTRAL JAVA

Enterprise Resource Planning (ERP) is an integrated application software for widespread use in the organization. The aim of this study is to determine factors that affect the successful implementation of ERP in Small and Medium Enterprises (SMEs) in Central Java in order to build competitive advantage. To test the hypothesis, this study utilized data from 107 SMEs in Central Java. The results revealed that variable Business Process Reengineering have the greatest influence toward the successful implementation in Small and Medium Enterprises. It is suggested that SMEs should gain knowledge and solidify its business process reengineering before implementing ERP