Beyond Curation: A Validation and Classification Infrastructure for an Educational Content Catalog

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dc.contributor.authorAina, Adeyemi Babatundeen
dc.contributor.committeechairShaffer, Clifford A.en
dc.contributor.committeechairEdmison, Kenneth Roberten
dc.contributor.committeememberFox, Edward A.en
dc.contributor.departmentComputer Science and#38; Applicationsen
dc.date.accessioned2025-01-22T09:00:55Z
dc.date.available2025-01-22T09:00:55Z
dc.date.issued2025-01-21
dc.description.abstractTo address 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 community's efforts, the catalog functions as a centralized platform supporting SPLICE's objectives of improving interoperability, enabling comprehensive data collection, and facilitating data analysis in computer science education. The SLC catalog stands out from previous catalogs with an approach that applies an ontology-based content organization and validation services. Additionally, it serves as a platform where educators can contribute, access, and share a wide range of resources—including slideshows, interactive exercises, programming tasks, and Learning Tools Interoperability (LTI)-integrated content from various learning tools. While the primary goal of the catalog is to disseminate high-quality learning materials, its extensive and varied content requires robust organization and validation mechanisms to ensure educators can efficiently locate and utilize resources. The catalog is designed to further support diverse content types, including both standalone resources and content bundles. For one of our key contributors, OpenDSA—an e-textbook system—we have adopted latest LTI 1.3 standard. This implementation enables the catalog to disseminate content in both LTI 1.1 and LTI 1.3 standards, ensuring compatibility. One key improvement in LTI 1.3 is its security features, incorporating robust authentication methods to ensure stronger protection of sensitive student information. This updated standard enables learning tools to meet the evolving demands of digital education, providing educators and learners with more secure, flexible, and effective resources.en
dc.description.abstractgeneralFinding quality computer science learning materials online can be difficult. The Smart Learning Content catalog helps by collecting resources such as slideshows, exercises, and other learning content in a catalog. This catalog makes it easier for Instructors and students to find what they need quickly. This catalog is organized by set of keywords, so instructors can understand how different topics relate to each other. The catalog also verifies that materials meet high-quality standards. Since instructors rely on a variety of online tools, the catalog supports multiple content types and learning technology standards. In addition, the catalog aims to support multiple Learning Tools Interoperability (LTI) standards, including both older and newer versions. For one of our key contributors, OpenDSA—an e-textbook system—we have adopted the latest LTI 1.3 standard. This implementation enables the catalog to disseminate content in both LTI 1.1 and LTI 1.3 standards, ensuring compatibility. The LTI 1.3 standard enhances security in OpenDSA, protecting student data and maintaining privacy. By aligning with modern standards, the catalog provides pathway for discovering and sharing computer science learning materials.en
dc.description.degreeMaster of Scienceen
dc.format.mediumETDen
dc.identifier.othervt_gsexam:42437en
dc.identifier.urihttps://hdl.handle.net/10919/124292
dc.language.isoenen
dc.publisherVirginia Techen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectCatalog Organizationen
dc.subjectMetadata Validationen
dc.subjectOntology-Based Classificationen
dc.subjectLearning Tools Interoperabilityen
dc.subjectLTI 1.3en
dc.subjectLTI Advantageen
dc.subjectComputer Science Educationen
dc.titleBeyond Curation: A Validation and Classification Infrastructure for an Educational Content Catalogen
dc.typeThesisen
thesis.degree.disciplineComputer Science & Applicationsen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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