{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:SKAG4YOWL4FWZG5ZGSR46K3IO6","short_pith_number":"pith:SKAG4YOW","schema_version":"1.0","canonical_sha256":"92806e61d65f0b6c9bb934a3cf2b68778b7020b27ed7486cbfb2167161fe60f7","source":{"kind":"arxiv","id":"2403.15586","version":1},"attestation_state":"computed","paper":{"title":"Generative AI in Education: A Study of Educators' Awareness, Sentiments, and Influencing Factors","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Aashish Ghimire, James Prather, John Edwards","submitted_at":"2024-03-22T19:21:29Z","abstract_excerpt":"The rapid advancement of artificial intelligence (AI) and the expanding integration of large language models (LLMs) have ignited a debate about their application in education. This study delves into university instructors' experiences and attitudes toward AI language models, filling a gap in the literature by analyzing educators' perspectives on AI's role in the classroom and its potential impacts on teaching and learning. The objective of this research is to investigate the level of awareness, overall sentiment towardsadoption, and the factors influencing these attitudes for LLMs and generati"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2403.15586","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2024-03-22T19:21:29Z","cross_cats_sorted":[],"title_canon_sha256":"823a8a2cd3b9bccb591b61698b90ff81a68778eb1629126640e2af2cb0ccc03d","abstract_canon_sha256":"d6fb531bdef2b76e53d6eccc3cd38260e0afcc76173dc1d097e3c0a3b57e5dc9"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:59:38.959040Z","signature_b64":"K7MsxBjBzjw5tgc2vJ88pDHxgJ0WaHnmFTWCfuVvL2s0BfA5IvW9TYWw0BNwcPe3MU2EIqFbbsHyr07scXd4CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"92806e61d65f0b6c9bb934a3cf2b68778b7020b27ed7486cbfb2167161fe60f7","last_reissued_at":"2026-07-05T07:59:38.958566Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:59:38.958566Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Generative AI in Education: A Study of Educators' Awareness, Sentiments, and Influencing Factors","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Aashish Ghimire, James Prather, John Edwards","submitted_at":"2024-03-22T19:21:29Z","abstract_excerpt":"The rapid advancement of artificial intelligence (AI) and the expanding integration of large language models (LLMs) have ignited a debate about their application in education. This study delves into university instructors' experiences and attitudes toward AI language models, filling a gap in the literature by analyzing educators' perspectives on AI's role in the classroom and its potential impacts on teaching and learning. The objective of this research is to investigate the level of awareness, overall sentiment towardsadoption, and the factors influencing these attitudes for LLMs and generati"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.15586","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2403.15586/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2403.15586","created_at":"2026-07-05T07:59:38.958630+00:00"},{"alias_kind":"arxiv_version","alias_value":"2403.15586v1","created_at":"2026-07-05T07:59:38.958630+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.15586","created_at":"2026-07-05T07:59:38.958630+00:00"},{"alias_kind":"pith_short_12","alias_value":"SKAG4YOWL4FW","created_at":"2026-07-05T07:59:38.958630+00:00"},{"alias_kind":"pith_short_16","alias_value":"SKAG4YOWL4FWZG5Z","created_at":"2026-07-05T07:59:38.958630+00:00"},{"alias_kind":"pith_short_8","alias_value":"SKAG4YOW","created_at":"2026-07-05T07:59:38.958630+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":4,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2503.02885","citing_title":"\"Would You Want an AI Tutor?\" Understanding Stakeholder Perceptions of LLM-based Systems in the Classroom","ref_index":34,"is_internal_anchor":false},{"citing_arxiv_id":"2502.09891","citing_title":"ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation","ref_index":16,"is_internal_anchor":false},{"citing_arxiv_id":"2503.04338","citing_title":"In-depth Analysis of Graph-based RAG in a Unified Framework","ref_index":20,"is_internal_anchor":false},{"citing_arxiv_id":"2604.01707","citing_title":"Memory in the LLM Era: Modular Architectures and Strategies in a Unified Framework","ref_index":20,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/SKAG4YOWL4FWZG5ZGSR46K3IO6","json":"https://pith.science/pith/SKAG4YOWL4FWZG5ZGSR46K3IO6.json","graph_json":"https://pith.science/api/pith-number/SKAG4YOWL4FWZG5ZGSR46K3IO6/graph.json","events_json":"https://pith.science/api/pith-number/SKAG4YOWL4FWZG5ZGSR46K3IO6/events.json","paper":"https://pith.science/paper/SKAG4YOW"},"agent_actions":{"view_html":"https://pith.science/pith/SKAG4YOWL4FWZG5ZGSR46K3IO6","download_json":"https://pith.science/pith/SKAG4YOWL4FWZG5ZGSR46K3IO6.json","view_paper":"https://pith.science/paper/SKAG4YOW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2403.15586&json=true","fetch_graph":"https://pith.science/api/pith-number/SKAG4YOWL4FWZG5ZGSR46K3IO6/graph.json","fetch_events":"https://pith.science/api/pith-number/SKAG4YOWL4FWZG5ZGSR46K3IO6/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/SKAG4YOWL4FWZG5ZGSR46K3IO6/action/timestamp_anchor","attest_storage":"https://pith.science/pith/SKAG4YOWL4FWZG5ZGSR46K3IO6/action/storage_attestation","attest_author":"https://pith.science/pith/SKAG4YOWL4FWZG5ZGSR46K3IO6/action/author_attestation","sign_citation":"https://pith.science/pith/SKAG4YOWL4FWZG5ZGSR46K3IO6/action/citation_signature","submit_replication":"https://pith.science/pith/SKAG4YOWL4FWZG5ZGSR46K3IO6/action/replication_record"}},"created_at":"2026-07-05T07:59:38.958630+00:00","updated_at":"2026-07-05T07:59:38.958630+00:00"}