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Zadeh, Amir H.; Zolbanin, Hamed M.; Sengupta, Arijit; Schultz, Todd – Journal of Information Systems Education, 2020
Enterprise resource planning systems (ERP) are the most essential and critical information systems that are widely used to build all the functions of a business into a unified and efficient enterprise system. Although the essence of ERP systems are easy to understand, students, especially those who do not have technical experience, have difficulty…
Descriptors: Computer Software, Information Systems, Efficiency, Information Science Education
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Harman, Gonca; Cokelez, Aytekin; Dal, Burckin; Alper, Umut – Universal Journal of Educational Research, 2016
The aim of this study was to examine pre-service science teachers' views about laboratory applications in science education and how their views changed through laboratory applications that were carried out for two semesters. 63 (52 females, 11 males) pre-service teachers participated in the study. The study was carried out by using pre-test and…
Descriptors: Preservice Teachers, Science Teachers, Student Teacher Attitudes, Science Laboratories
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Killen, Catherine P. – European Journal of Engineering Education, 2015
This paper outlines a novel approach to engineering education research that provides three dimensions of learning through an experiential class activity. A simulated decision activity brought current research into the classroom, explored the effect of experiential activity on learning outcomes and contributed to the research on innovation decision…
Descriptors: Engineering Education, Educational Innovation, Educational Research, Experiential Learning
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