Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 167 for “"learning tools"”.
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Disseminating Learning Tools Interoperability Standards
Until recently, most educational tools have worked in silos. If a teacher wanted her students to complete small programming exercises, record videos, and collaborate through discussion boards, three disconnected tools were probably needed. Learning Tools Interoperability (LTI) is a communication …
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Useful Learning Tools in Anatomy Dissection Video
… Digital videos can be useful adjuncts for learning anatomy. It is important to understand cognitive factors that influence students’ learning when developing learning videos. This research evaluates video-based learning tools’ effect on student exam performance and preference. METHODS. A …
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Deep Learning Tools for Next-Generation Connectomics
… computes. However, our ability to build powerful tools for the next generation of connectomics is dependent on navigating an inherent accuracy v.s. speed v.s. scalability trade-off. This thesis addresses this tradeoff by introducing four deep learning tools and techniques applied to the …
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Participant's perceptions of online staff development and learning tools.
… program can to see if they could predict the learning value of individual distance education tools. The Texas Center for Educational Technology (TCET) funded by the Texas Telecommunications Infrastructure Fund (TIF) designed the Technology Applications Certification Program (TACP). In the …
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Voltage Regulation of Smart Grids using Machine Learning Tools
… control rules are proposed by leveraging machine learning tools. The designed control rules can be expressed by a set of coefficients. These control rules can be nonlinear functions of both remote and local inputs. The proposed control rules are designed to jointly minimize the voltage deviation …
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Computational and machine learning tools for insights into conjugated materials
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-19 without embargo terms
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Investigation of machine learning tools for document clustering and classification
Data clustering is a problem of discovering the underlying data structure without any prior information about the data. The focus of this thesis is to evaluate a few of the modern clustering algorithms in order to determine their performance in adverse conditions. Synthetic Data Generation software …
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Developing machine learning tools to understand transcriptional regulation in plants
… In this dissertation, several computational tools were developed to address the challenges. In Chapter 2, ConSReg was developed to infer condition-specific regulatory interactions and prioritize transcription factors (TFs) that are likely to play condition specific regulatory roles. …
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Finnish EFL Teachers’ Attitudes Towards Using Computer-assisted Language Learning Tools
Computer-assisted language learning (CALL) is an emerging field of research that focusses on how information and communication technologies (ICT) are applied in language teaching and learning. CALL lies at the intersection of several other independent fields of study, i.e. technology, education, …
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Assessing models for de-identification of Electronic Discharge Summary Using Machine Learning tools
… being used to identify the person. When Machine Learning techniques were included in the de-identification process, it substantially improved over the previous method. Research Problem: The Electronic Discharge Summary(EDS) has evolved into a significantly improved technique of providing …
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Big data and machine learning tools to understand mastitis epidemiology and other topics
Increased availability of technologies to collect and store individual health data is leading to a growing interest in applying Big Data analytical methodologies to better understand health and disease in both humans and dairy cattle. Data collected through routine observations such as doctor or …
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Computer vision and deep-learning tools for automatic data extraction from chemical reaction schemes
… on the application of computer vision and deep-learning techniques to the development of an artificial intelligence tool for image-mining chemical reaction schemes. In particular, the aim of this work is the development of an autonomous, high-throughput tool for converting visual data into …
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Climatic, environmental, and phenological analyses of diverse lowland neotropical pollen rain data using ecoinformatic and machine learning tools
… from the BCI plot pollen rain, a machine learning method using convolutional neural nets was developed to fully automate the process of pollen identification.
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Development and application of machine learning tools for the advancement of energy crop genetic manipulation using the CRISPR/Cas technology
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2024-12-01
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Utilization of smartphone as mobile-learning tools in secondary schools at King Cetshwayo District: perspectives of school management team members and educators
… and acceptance of mobile technologies as mobile learning(m-learning) tools in the education sector has brought benefits and opportunities for teaching and learning. The main aim of the study was to determine and explore the perceptions of School Management Teams members (SMT) i.e. principals and …
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Improving the Interoperability of the OpenDSA eTextbook System
… there has been considerable adoption of the IMS Learning Tools Interoperability (LTI) standard among both Learning Management Systems (LMS), and learning applications. The LTI standard defines a way to securely connect learning applications and tools with platforms like LMS, enabling content from …
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Beyond Curation: A Validation and Classification Infrastructure for an Educational Content Catalog
… the challenge of discovering computer science learning resources, the Smart Learning Content (SLC) catalog is designed to simplify access to the growing body of educational content. As part of the Standards, Protocols, and Learning Infrastructure for Computing Education (SPLICE) research …
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Integrating digitizing pen technology and machine learning with the Clock Drawing Test
… process and utilize the most current machine learning tools for analysis of CDT results, the digitizing pen has been used to computerize this diagnostic test. In order to successfully integrate digitizing pen technology with the CDT, a digit recognition algorithm was developed to reduce the …
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STATISTICAL LEARNING FOR STANDARD MODEL PHENOMENOLOGY
… with a particular emphasis on modern machine learning tools used within the NNPDF approach. We first present NNPDF4.0, currently the most recent and most precise set of PDFs based on a global dataset. We then provide suggestions for improvements to the machine learning tools used for the …
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