{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:6ABI54Q7L6IIZYESHL3YT5TARL","short_pith_number":"pith:6ABI54Q7","schema_version":"1.0","canonical_sha256":"f0028ef21f5f908ce0923af789f6608acb30d50fa6738df0d123ffa476707c18","source":{"kind":"arxiv","id":"1806.03257","version":1},"attestation_state":"computed","paper":{"title":"Ten Years of Research on Intelligent Educational Games for Learning Spelling and Mathematics","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.HC"],"primary_cat":"cs.CY","authors_text":"Barbara Solenthaler, Markus Gross, Severin Klingler, Tanja K\\\"aser","submitted_at":"2018-06-07T07:55:15Z","abstract_excerpt":"In this article, we present our findings from ten years of research on intelligent educational games. We discuss the architecture of our training environments for learning spelling and mathematics, and specifically focus on the representation of the content and the controller that enables personalized trainings. We first show the multi-modal representation that reroutes information through multiple perceptual cues and discuss the game structure. We then present the data-driven student model that is used for a personalized, adaptive presentation of the content. We further leverage machine learn"},"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":"1806.03257","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2018-06-07T07:55:15Z","cross_cats_sorted":["cs.HC"],"title_canon_sha256":"00aead7dd9377c0c9a1f3f8db6724a8eb1fe3727fa451f5b89b028b402468f3b","abstract_canon_sha256":"ba86bfed420a6a9de486f6cd1f512e6b728c87d265c82c59380ff0bf52390a62"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:13:48.992250Z","signature_b64":"9XblrtWEAEfnJ8JI+0rT4QsSgdnZyZ6CN3Y5S7rgr43Zk4gC+IOPkj4c7UZUG7+TQUGYVYH2fisifIZLk7KwCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f0028ef21f5f908ce0923af789f6608acb30d50fa6738df0d123ffa476707c18","last_reissued_at":"2026-05-18T00:13:48.991736Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:13:48.991736Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Ten Years of Research on Intelligent Educational Games for Learning Spelling and Mathematics","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.HC"],"primary_cat":"cs.CY","authors_text":"Barbara Solenthaler, Markus Gross, Severin Klingler, Tanja K\\\"aser","submitted_at":"2018-06-07T07:55:15Z","abstract_excerpt":"In this article, we present our findings from ten years of research on intelligent educational games. We discuss the architecture of our training environments for learning spelling and mathematics, and specifically focus on the representation of the content and the controller that enables personalized trainings. We first show the multi-modal representation that reroutes information through multiple perceptual cues and discuss the game structure. We then present the data-driven student model that is used for a personalized, adaptive presentation of the content. We further leverage machine learn"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.03257","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":""},"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":"1806.03257","created_at":"2026-05-18T00:13:48.991815+00:00"},{"alias_kind":"arxiv_version","alias_value":"1806.03257v1","created_at":"2026-05-18T00:13:48.991815+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.03257","created_at":"2026-05-18T00:13:48.991815+00:00"},{"alias_kind":"pith_short_12","alias_value":"6ABI54Q7L6II","created_at":"2026-05-18T12:32:08.215937+00:00"},{"alias_kind":"pith_short_16","alias_value":"6ABI54Q7L6IIZYES","created_at":"2026-05-18T12:32:08.215937+00:00"},{"alias_kind":"pith_short_8","alias_value":"6ABI54Q7","created_at":"2026-05-18T12:32:08.215937+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/6ABI54Q7L6IIZYESHL3YT5TARL","json":"https://pith.science/pith/6ABI54Q7L6IIZYESHL3YT5TARL.json","graph_json":"https://pith.science/api/pith-number/6ABI54Q7L6IIZYESHL3YT5TARL/graph.json","events_json":"https://pith.science/api/pith-number/6ABI54Q7L6IIZYESHL3YT5TARL/events.json","paper":"https://pith.science/paper/6ABI54Q7"},"agent_actions":{"view_html":"https://pith.science/pith/6ABI54Q7L6IIZYESHL3YT5TARL","download_json":"https://pith.science/pith/6ABI54Q7L6IIZYESHL3YT5TARL.json","view_paper":"https://pith.science/paper/6ABI54Q7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1806.03257&json=true","fetch_graph":"https://pith.science/api/pith-number/6ABI54Q7L6IIZYESHL3YT5TARL/graph.json","fetch_events":"https://pith.science/api/pith-number/6ABI54Q7L6IIZYESHL3YT5TARL/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/6ABI54Q7L6IIZYESHL3YT5TARL/action/timestamp_anchor","attest_storage":"https://pith.science/pith/6ABI54Q7L6IIZYESHL3YT5TARL/action/storage_attestation","attest_author":"https://pith.science/pith/6ABI54Q7L6IIZYESHL3YT5TARL/action/author_attestation","sign_citation":"https://pith.science/pith/6ABI54Q7L6IIZYESHL3YT5TARL/action/citation_signature","submit_replication":"https://pith.science/pith/6ABI54Q7L6IIZYESHL3YT5TARL/action/replication_record"}},"created_at":"2026-05-18T00:13:48.991815+00:00","updated_at":"2026-05-18T00:13:48.991815+00:00"}