{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:WHOGLBXJJDELV6CBXEHEHMKGG4","short_pith_number":"pith:WHOGLBXJ","schema_version":"1.0","canonical_sha256":"b1dc6586e948c8baf841b90e43b14637130259217ec0544b16895780e60f89c9","source":{"kind":"arxiv","id":"2412.14200","version":1},"attestation_state":"computed","paper":{"title":"ActiveAI: Enabling K-12 AI Literacy Education & Analytics at Scale","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Guanze Liao, Hanqi Li, Hsuan Nieu, John Stamper, Kenneth Koedinger, Ruiwei Xiao, Ying-Jui Tseng","submitted_at":"2024-12-15T10:35:14Z","abstract_excerpt":"Interest in K-12 AI Literacy education has surged in the past year, yet large-scale learning data remains scarce despite considerable efforts in developing learning materials and running summer programs. To make larger scale dataset available and enable more replicable findings, we developed an intelligent online learning platform featuring AI Literacy modules and assessments, engaging 1,000 users from 12 secondary schools. Preliminary analysis of the data reveals patterns in prior knowledge levels of AI Literacy, gender differences in assessment scores, and the effectiveness of instructional "},"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":"2412.14200","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2024-12-15T10:35:14Z","cross_cats_sorted":[],"title_canon_sha256":"1401a77b268b7c3e9444d8133c66097708d40729462e51bf51d0a2673a5dd9fb","abstract_canon_sha256":"5984cea78ea2697de39346f414406c2b8d0092c995a1ad6427a9b3e61dc20119"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:51:41.710778Z","signature_b64":"u8zvP+E0KwgaSgs1VLU66cTmVdprCOeQLiZo4sI0iCD5hfVRG2HuEoLPBJlXIx7Cjr5/8zVSauMqjeYYZqhTCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b1dc6586e948c8baf841b90e43b14637130259217ec0544b16895780e60f89c9","last_reissued_at":"2026-07-05T09:51:41.710276Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:51:41.710276Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"ActiveAI: Enabling K-12 AI Literacy Education & Analytics at Scale","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Guanze Liao, Hanqi Li, Hsuan Nieu, John Stamper, Kenneth Koedinger, Ruiwei Xiao, Ying-Jui Tseng","submitted_at":"2024-12-15T10:35:14Z","abstract_excerpt":"Interest in K-12 AI Literacy education has surged in the past year, yet large-scale learning data remains scarce despite considerable efforts in developing learning materials and running summer programs. To make larger scale dataset available and enable more replicable findings, we developed an intelligent online learning platform featuring AI Literacy modules and assessments, engaging 1,000 users from 12 secondary schools. Preliminary analysis of the data reveals patterns in prior knowledge levels of AI Literacy, gender differences in assessment scores, and the effectiveness of instructional "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.14200","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/2412.14200/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":"2412.14200","created_at":"2026-07-05T09:51:41.710341+00:00"},{"alias_kind":"arxiv_version","alias_value":"2412.14200v1","created_at":"2026-07-05T09:51:41.710341+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.14200","created_at":"2026-07-05T09:51:41.710341+00:00"},{"alias_kind":"pith_short_12","alias_value":"WHOGLBXJJDEL","created_at":"2026-07-05T09:51:41.710341+00:00"},{"alias_kind":"pith_short_16","alias_value":"WHOGLBXJJDELV6CB","created_at":"2026-07-05T09:51:41.710341+00:00"},{"alias_kind":"pith_short_8","alias_value":"WHOGLBXJ","created_at":"2026-07-05T09:51:41.710341+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2412.17243","citing_title":"\"From Unseen Needs to Classroom Solutions\": Exploring AI Literacy Challenges & Opportunities with Project-based Learning Toolkit in K-12 Education","ref_index":27,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/WHOGLBXJJDELV6CBXEHEHMKGG4","json":"https://pith.science/pith/WHOGLBXJJDELV6CBXEHEHMKGG4.json","graph_json":"https://pith.science/api/pith-number/WHOGLBXJJDELV6CBXEHEHMKGG4/graph.json","events_json":"https://pith.science/api/pith-number/WHOGLBXJJDELV6CBXEHEHMKGG4/events.json","paper":"https://pith.science/paper/WHOGLBXJ"},"agent_actions":{"view_html":"https://pith.science/pith/WHOGLBXJJDELV6CBXEHEHMKGG4","download_json":"https://pith.science/pith/WHOGLBXJJDELV6CBXEHEHMKGG4.json","view_paper":"https://pith.science/paper/WHOGLBXJ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2412.14200&json=true","fetch_graph":"https://pith.science/api/pith-number/WHOGLBXJJDELV6CBXEHEHMKGG4/graph.json","fetch_events":"https://pith.science/api/pith-number/WHOGLBXJJDELV6CBXEHEHMKGG4/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/WHOGLBXJJDELV6CBXEHEHMKGG4/action/timestamp_anchor","attest_storage":"https://pith.science/pith/WHOGLBXJJDELV6CBXEHEHMKGG4/action/storage_attestation","attest_author":"https://pith.science/pith/WHOGLBXJJDELV6CBXEHEHMKGG4/action/author_attestation","sign_citation":"https://pith.science/pith/WHOGLBXJJDELV6CBXEHEHMKGG4/action/citation_signature","submit_replication":"https://pith.science/pith/WHOGLBXJJDELV6CBXEHEHMKGG4/action/replication_record"}},"created_at":"2026-07-05T09:51:41.710341+00:00","updated_at":"2026-07-05T09:51:41.710341+00:00"}