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The effect of Curriculum Organization on the acquisition of Abstract Declarative Knowledge in Computer Based Instructions.
Title
The effect of Curriculum Organization on the acquisition of Abstract Declarative Knowledge in Computer Based Instructions.
Creator
Al-Foraih, Saleh, Williams, Kent, Proctor, Michael, Rabelo, Luis, Ozkaptan, Halim, University of Central Florida
Abstract / Description
ABSTRACTThe United States of America has dropped behind many countries in terms of theScience and Engineering university degrees awarded since the beginning of the nineties.Multiple studies have been conducted to determine the cause of this decline in degreesawarded, and try to reverse the trend in US education. The goal of these studies was todetermine the proper instructional methods that facilitate the knowledge acquisitionprocess for the student. It has been determined that not one method...
Show moreABSTRACTThe United States of America has dropped behind many countries in terms of theScience and Engineering university degrees awarded since the beginning of the nineties.Multiple studies have been conducted to determine the cause of this decline in degreesawarded, and try to reverse the trend in US education. The goal of these studies was todetermine the proper instructional methods that facilitate the knowledge acquisitionprocess for the student. It has been determined that not one method works for all types ofcurriculum, for example methods that have been found to work effectively in curriculumthat teaches procedures and physical systems often fail in curriculum that teaches abstractand conceptual content. The purpose of this study is to design an instructional methodthat facilitates teaching of abstract knowledge, and to demonstrate its effectivenessthrough empirical research.An experiment including 72 undergraduate students was conducted to determinethe best method of acquiring abstract knowledge. All students were presented with thesame abstract knowledge but presented in different types of organization. Theseorganization types consisted of hierarchy referred as Bottom Up, Top Down, andUnorganized. Another factor that was also introduced is Graphing, which is a method thatis believe to improve the learning process. The experiment was completed in 8 weeks anddata was gathered and analyzed.The results strongly suggest that abstract knowledge acquisition is greatlyimproved when the knowledge is presented in a Bottom Up hierarchical fashion. On theother hand, neither Graphing nor the Top Down or Unorganized conditions affectlearning in these novice students.
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Date Issued
2013
Identifier
CFE0004644, ucf:49893
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0004644
TRANSFORMING LEARNING INTO A CONSTRUCTIVE COGNITIVE AND METACOGNITIVE ACTIVITY:USE OF A GUIDED LEARNER-GENERATED INSTRUCTIONAL STRATEGY WITHIN COMPUTER-BASED TRAINING
Title
TRANSFORMING LEARNING INTO A CONSTRUCTIVE COGNITIVE AND METACOGNITIVE ACTIVITY:USE OF A GUIDED LEARNER-GENERATED INSTRUCTIONAL STRATEGY WITHIN COMPUTER-BASED TRAINING.
Creator
Cuevas, Haydee, Bowers, Clint, University of Central Florida
Abstract / Description
This study explored the effectiveness of embedding a guided, learner-generated instructional strategy (query method), designed to support learners' cognitive and metacognitive processes, within the context of a computer-based complex task training environment (i.e., principles of flight in the aviation domain). The queries were presented as "stop and think" exercises in an open-ended question format that asked learners to generate either simple (low-level elaboration) or complex (high-level...
Show moreThis study explored the effectiveness of embedding a guided, learner-generated instructional strategy (query method), designed to support learners' cognitive and metacognitive processes, within the context of a computer-based complex task training environment (i.e., principles of flight in the aviation domain). The queries were presented as "stop and think" exercises in an open-ended question format that asked learners to generate either simple (low-level elaboration) or complex (high-level elaboration) sentences from a list of key training concepts. Results consistently highlighted the benefit of presenting participants with low-level elaboration queries, as compared to the no-query or high-level elaboration queries. In terms of post-training cognitive outcomes, participants presented with the low-level elaboration queries exhibited significantly more accurate knowledge organization (indicated by similarity to an expert model), better acquisition of perceptual knowledge, and superior performance on integrative knowledge assessment involving the integration and application of task-relevant concepts. Consistent with previous studies, no significant differences in performance were found on basic factual knowledge assessment. Presentation of the low-level elaboration queries also significantly improved the training program's instructional efficiency, that is, greater performance was achieved with less perceived cognitive effort. In terms of post-training metacognitive outcomes, participants presented with the low-level elaboration queries exhibited significantly greater metacomprehension accuracy and more effective metacognitive self-regulation during training. Contrary to predictions, incorporating the high-level elaboration queries into the training consistently failed, with only a few exceptions, to produce significantly better post-training outcomes than the no-query or the low-level elaboration query training conditions. The results of this study are discussed in terms of the theoretical implications for garnering a better understanding of the cognitive and metacognitive factors underlying the learning process. Practical implications for training design are presented within the context of cognitive load theory. Specifically, the increased cognitive processing of the training material associated with the high-level elaboration queries may have imposed too great a cognitive load on participants during training, minimizing the cognitive resources available for achieving a deeper, integrative understanding of the training concepts and hindering successful performance on the cognitive measures. The discussion also highlights the need for a multi-faceted approach to training evaluation.
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Date Issued
2004
Identifier
CFE0000265, ucf:46221
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0000265
A SUSTAINABLE AUTONOMIC ARCHITECTURE FOR ORGANICALLY RECONFIGURABLE COMPUTING SYSTEMS
Title
A SUSTAINABLE AUTONOMIC ARCHITECTURE FOR ORGANICALLY RECONFIGURABLE COMPUTING SYSTEMS.
Creator
Oreifej, Rashad, DeMara, Ronald, University of Central Florida
Abstract / Description
A Sustainable Autonomic Architecture for Organically Reconfigurable Computing System based on SRAM Field Programmable Gate Arrays (FPGAs) is proposed, modeled analytically, simulated, prototyped, and measured. Low-level organic elements are analyzed and designed to achieve novel self-monitoring, self-diagnosis, and self-repair organic properties. The prototype of a 2-D spatial gradient Sobel video edge-detection organic system use-case developed on a XC4VSX35 Xilinx Virtex-4 Video Starter Kit...
Show moreA Sustainable Autonomic Architecture for Organically Reconfigurable Computing System based on SRAM Field Programmable Gate Arrays (FPGAs) is proposed, modeled analytically, simulated, prototyped, and measured. Low-level organic elements are analyzed and designed to achieve novel self-monitoring, self-diagnosis, and self-repair organic properties. The prototype of a 2-D spatial gradient Sobel video edge-detection organic system use-case developed on a XC4VSX35 Xilinx Virtex-4 Video Starter Kit is presented. Experimental results demonstrate the applicability of the proposed architecture and provide the infrastructure to quantify the performance and overcome fault-handling limitations. Dynamic online autonomous functionality restoration after a malfunction or functionality shift due to changing requirements is achieved at a fine granularity by exploiting dynamic Partial Reconfiguration (PR) techniques. A Genetic Algorithm (GA)-based hardware/software platform for intrinsic evolvable hardware is designed and evaluated for digital circuit repair using a variety of well-accepted benchmarks. Dynamic bitstream compilation for enhanced mutation and crossover operators is achieved by directly manipulating the bitstream using a layered toolset. Experimental results on the edge-detector organic system prototype have shown complete organic online refurbishment after a hard fault. In contrast to previous toolsets requiring many milliseconds or seconds, an average of 0.47 microseconds is required to perform the genetic mutation, 4.2 microseconds to perform the single point conventional crossover, 3.1 microseconds to perform Partial Match Crossover (PMX) as well as Order Crossover (OX), 2.8 microseconds to perform Cycle Crossover (CX), and 1.1 milliseconds for one input pattern intrinsic evaluation. These represent a performance advantage of three orders of magnitude over the JBITS software framework and more than seven orders of magnitude over the Xilinx design flow. Combinatorial Group Testing (CGT) technique was combined with the conventional GA in what is called CGT-pruned GA to reduce repair time and increase system availability. Results have shown up to 37.6% convergence advantage using the pruned technique. Lastly, a quantitative stochastic sustainability model for reparable systems is formulated to evaluate the Sustainability of FPGA-based reparable systems. This model computes at design-time the resources required for refurbishment to meet mission availability and lifetime requirements in a given fault-susceptible missions. By applying this model to MCNC benchmark circuits and the Sobel Edge-Detector in a realistic space mission use-case on Xilinx Virtex-4 FPGA, we demonstrate a comprehensive model encompassing the inter-relationships between system sustainability and fault rates, utilized, and redundant hardware resources, repair policy parameters and decaying reparability.
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Date Issued
2011
Identifier
CFE0003969, ucf:48661
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0003969
AN ADAPTIVE MODULAR REDUNDANCY TECHNIQUE TO SELF-REGULATE AVAILABILITY, AREA, AND ENERGY CONSUMPTION IN MISSION-CRITICAL APPLICATIONS
Title
AN ADAPTIVE MODULAR REDUNDANCY TECHNIQUE TO SELF-REGULATE AVAILABILITY, AREA, AND ENERGY CONSUMPTION IN MISSION-CRITICAL APPLICATIONS.
Creator
Al-Haddad, Rawad, DeMara, Ronald, University of Central Florida
Abstract / Description
As reconfigurable devices' capacities and the complexity of applications that use them increase, the need for self-reliance of deployed systems becomes increasingly prominent. A Sustainable Modular Adaptive Redundancy Technique (SMART) composed of a dual-layered organic system is proposed, analyzed, implemented, and experimentally evaluated. SMART relies upon a variety of self-regulating properties to control availability, energy consumption, and area used, in dynamically-changing...
Show moreAs reconfigurable devices' capacities and the complexity of applications that use them increase, the need for self-reliance of deployed systems becomes increasingly prominent. A Sustainable Modular Adaptive Redundancy Technique (SMART) composed of a dual-layered organic system is proposed, analyzed, implemented, and experimentally evaluated. SMART relies upon a variety of self-regulating properties to control availability, energy consumption, and area used, in dynamically-changing environments that require high degree of adaptation. The hardware layer is implemented on a Xilinx Virtex-4 Field Programmable Gate Array (FPGA) to provide self-repair using a novel approach called a Reconfigurable Adaptive Redundancy System (RARS). The software layer supervises the organic activities within the FPGA and extends the self-healing capabilities through application-independent, intrinsic, evolutionary repair techniques to leverage the benefits of dynamic Partial Reconfiguration (PR). A SMART prototype is evaluated using a Sobel edge detection application. This prototype is shown to provide sustainability for stressful occurrences of transient and permanent fault injection procedures while still reducing energy consumption and area requirements. An Organic Genetic Algorithm (OGA) technique is shown capable of consistently repairing hard faults while maintaining correct edge detector outputs, by exploiting spatial redundancy in the reconfigurable hardware. A Monte Carlo driven Continuous Markov Time Chains (CTMC) simulation is conducted to compare SMART's availability to industry-standard Triple Modular Technique (TMR) techniques. Based on nine use cases, parameterized with realistic fault and repair rates acquired from publically available sources, the results indicate that availability is significantly enhanced by the adoption of fast repair techniques targeting aging-related hard-faults. Under harsh environments, SMART is shown to improve system availability from 36.02% with lengthy repair techniques to 98.84% with fast ones. This value increases to "five nines" (99.9998%) under relatively more favorable conditions. Lastly, SMART is compared to twenty eight standard TMR benchmarks that are generated by the widely-accepted BL-TMR tools. Results show that in seven out of nine use cases, SMART is the recommended technique, with power savings ranging from 22% to 29%, and area savings ranging from 17% to 24%, while still maintaining the same level of availability.
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Date Issued
2011
Identifier
CFE0003993, ucf:48660
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0003993
VIRTUALIZATION AND SELF-ORGANIZATION FOR UTILITY COMPUTING
Title
VIRTUALIZATION AND SELF-ORGANIZATION FOR UTILITY COMPUTING.
Creator
Saleh, Mehdi, Marinescu, Dan, University of Central Florida
Abstract / Description
We present an alternative paradigm for utility computing when the delivery of service is subject to binding contracts; the solution we propose is based on resource virtualization and a self-management scheme. A virtual cloud aggregates set virtual machines to work in concert for the tasks specified by the service agreement. A first step for the establishment of a virtual cloud is to create a scale-free overlay network through a biased random walk; scale-free networks enjoy a set of remarkable...
Show moreWe present an alternative paradigm for utility computing when the delivery of service is subject to binding contracts; the solution we propose is based on resource virtualization and a self-management scheme. A virtual cloud aggregates set virtual machines to work in concert for the tasks specified by the service agreement. A first step for the establishment of a virtual cloud is to create a scale-free overlay network through a biased random walk; scale-free networks enjoy a set of remarkable properties such as: robustness against random failures, favorable scaling, and resilience to congestion, small diameter, and average path length. Constrains such as limits on the cost of per unit of service, total cost, or the requirement to use only "green" computing cycles are then considered when a node of this overlay network decides whether to join the virtual cloud or not. A VIRTUAL CLOUD consists of a subset of the nodes assigned to the tasks specified by a Service Level Agreement, SLA, as well as a virtual interconnection network, or overlay network, for the virtual cloud. SLAs could serve as a congestion control mechanism for an organization providing utility computing; this mechanism allows the system to reject new contracts when there is the danger of overloading the system and failing to fulfill existing contractual obligations. The objective of this thesis is to show that biased random walks in power law networks are capable of responding to dynamic changes of the workload in utility computing.
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Date Issued
2011
Identifier
CFE0003725, ucf:48768
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0003725
Quantum Chemical Studies for the Engineering of Metal Organic Materials
Title
Quantum Chemical Studies for the Engineering of Metal Organic Materials.
Creator
Rivera Jacquez, Hector, Masunov, Artem, Balaeff, Alexander, Harper, James, Heider, Emily, Zou, Shengli, Kaden, William, University of Central Florida
Abstract / Description
Metal Organic Materials (MOM) are composed of transition metal ions as connectors and organic ligands as linkers. MOMs have been found to have high porosity, catalytic, and optical properties. Here we study the gas adsorption, color change, and non-linear optical properties of MOMs. These properties can be predicted using theoretical methods, and the results may provide experimentalists with guidance for rational design and engineering of novel MOMs. The theory levels used include semi...
Show moreMetal Organic Materials (MOM) are composed of transition metal ions as connectors and organic ligands as linkers. MOMs have been found to have high porosity, catalytic, and optical properties. Here we study the gas adsorption, color change, and non-linear optical properties of MOMs. These properties can be predicted using theoretical methods, and the results may provide experimentalists with guidance for rational design and engineering of novel MOMs. The theory levels used include semi-empirical quantum mechanical calculations with the PM7 Hamiltonian and, Density Functional Theory (DFT) to predict the geometry and electronic structure of the ground state, and Time Dependent DFT (TD-DFT) to predict the excited states and the optical properties.The molecular absorption capacity of aldoxime coordinated Zn(II) based MOMs (previously measured experimentally) is predicted by using PM7 Theory level. The 3D structures were optimized with and without host molecules inside the pores. The absorption capacity of these crystals was predicted to be 8H2 or 3N2 per unit cell. When going beyond this limit, the structural integrity of the bulk material becomes fractured and microcrystals are observed both experimentally and theoretically.The linear absorption properties of Co(II) based complexes are known to change color when the coordination number is altered. In order to understand the mechanism of this color change TD-DFT methods are employed. The chromic behavior of the Co(II) based complexes studied was confirmed to be due to a chain in coordination number that resulted in lower metal to ligand distances. These distances destabilize the occupied metal d orbitals, and as a consequence of this, the metal to ligand transition energy is lowered enough to allow the crystals to absorb light at longer wavelengths.Covalent organic frameworks (COFs) present an extension of MOM principles to the main group elements. The synthesis of ordered COFs is possible by using predesigned structures andcarefully selecting the building blocks and their conditions for assembly. The crystals formed by these systems often possess non-linear optical (NLO) properties. Second Harmonic Generation (SHG) is one of the most used optical processes. Currently, there is a great demand for materials with NLO optical properties to be used for optoelectronic, imaging, sensing, among other applications. DFT calculations can predict the second order hyperpolarizability ?2 and tensor components necessary to estimate NLO. These calculations for the ?2 were done with the use of the Berry's finite field approach. An efficient material with high ?2 was designed and the resulting material was predicted to be nearly fivefold higher than the urea standard.Two-photon absorption (2PA) is another NLO effect. Unlike SHG, it is not limited to acentric material and can be used development of in vivo bio-imaging agents for the brain. Pt(II) complexes with porphyrin derivatives are theoretically studied for that purpose. The mechanism of 2PA enhancement was identified. For the most efficient porphyrin, the large 2PA cross-section was found to be caused by a HOMO-LUMO+2 transition. This transition is strongly coupled to 1PA allowed Q-band HOMO-LUMO states by large transition dipoles. Alkyl carboxyl substituents delocalize the LUMO+2 orbital due to their strong ?-acceptor effect, enhancing transition dipoles and lowering the 2PA transition to the desirable wavelengths range.The mechanism 2PA cross-section enhancement of aminoxime and aldoxime ligands upon metal addition of is studied with TD-DFT methods. This mechanism of enhancement is found to be caused by the polarization of the ligand orbitals by the metal cation. After polarization an increase in ligand to ligand transition dipole moment. This enhancement of dipole moment is related to the increase in 2PA cross-sections.
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Date Issued
2015
Identifier
CFE0005990, ucf:50777
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0005990