The purpose of this study was to determine better strategies for the design and use of computer-assisted instruction (CAI) in health science subjects that require visual learning. Evaluation of current use of CAI was focused on three CD-based modules developed to teach histological images to beginning medical students at multiple sites. For internal control, students' learning outcomes and perceived effectiveness were analyzed with their demographic characteristics, computer attitude, computer experience, and learning behaviors being considered. Results indicated that students who used at least two different CAI programs scored significantly higher on the final examination than those who used only the CAI tool designed by their site's instructor. Further investigation indicated that students might have benefited from the interactive features of a specific CAI tool. Such scaffolds could have successfully supported encoding processes while students were restructuring their mental models. In addition, students perceived the CAI programs to be more effective when the tools were fully integrated into the curriculum. Perceived module effectiveness was significantly correlated with examination performance, suggesting a well-designed and appropriately used CAI tool may help students achieve not only learning efficiency, but also better learning outcome.
The explosive growth of malicious activities on worldwide communication networks, such as the Internet, has highlighted the need for efficient intrusion detection systems. The efficiency of traditional intrusion detection systems is limited by their inability to effectively relay relevant information due to their lack of interactive/immersive technologies. In this paper, we explore several network visualization techniques geared towards intrusion detection on small and large-scale networks. We also examine the use of haptics in network intrusion visualization. By incorporating concepts from electromagnetics, fluid dynamics, and gravitational theory, we show that haptic technologies can provide another dimension of information critical to the efficient visualization of network intrusion data. Furthermore, we explore the applicability of these visualization techniques in conjunction with commercial network intrusion detectors. Finally, we present a network intrusion visualization application with haptic integration, NIVA, which allows the analyst to interactively investigate as well as efficiently detect structured attacks across time and space using advanced interactive three-dimensional displays.
The rapid growth of malicious activities on worldwide communication networks, such as the Internet, has highlighted the need for efficient intrusion detection systems. The efficiency of traditional intrusion detection systems is limited, in part, by their inability to relay effectively relevant information due to their lack of interactive/immersive technologies. In this paper, we explore several network visualization techniques geared toward intrusion detection on small- and large-scale networks. We also examine the use of haptics in network intrusion visualization. By incorporating concepts from electromagnetics, fluid dynamics, and gravitational theory, we show that haptic technologies can provide another dimension of information critical to the efficient visualization of network intrusion data. Furthermore, we explore the applicability of these visualization techniques in conjunction with commercial network intrusion detectors. Finally, we present a network intrusion visualization application with haptic integration, NIVA, which allows the analyst to interactively investigate as well as efficiently detect structured attacks across time and space using advanced interactive three-dimensional displays.
He has been a full-time faculty member in the Electrical and Computer Engineering (ECE) Department at MSU since Aug. 1994 and currently serves as the Associate Chair for Undergraduate Studies. He teaches courses in both analog and digital electronic circuit design and instrumentation. Dr. Astatke has more than 10 years of experience in the development and delivery of synchronous and asynchronous web-based ECE courses in the USA and abroad. He is the recipient of the 2012 ASEE Mid-Atlantic Section's Distinguished Teaching Award.
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