{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:VFSBIWXJKNM6IKSVYHBJDNDLCN","short_pith_number":"pith:VFSBIWXJ","schema_version":"1.0","canonical_sha256":"a964145ae95359e42a55c1c291b46b1352cbc54b37a8118cb4254ff580441fd0","source":{"kind":"arxiv","id":"1412.7813","version":1},"attestation_state":"computed","paper":{"title":"Students Behavioural Analysis in an Online Learning Environment Using Data Mining (ICIAfS)","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CY","authors_text":"I. P. Ratnapala, R. G. Ragel, S. Deegalla","submitted_at":"2014-12-25T11:55:56Z","abstract_excerpt":"The focus of this research was to use Educational Data Mining (EDM) techniques to conduct a quantitative analysis of students interaction with an e-learning system through instructor-led non-graded and graded courses. This exercise is useful for establishing a guideline for a series of online short courses for them. A group of 412 students' access behaviour in an e-learning system were analysed and they were grouped into clusters using K-Means clustering method according to their course access log records. The results explained that more than 40% from the student group are passive online 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":"1412.7813","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2014-12-25T11:55:56Z","cross_cats_sorted":[],"title_canon_sha256":"8e15c975278d3f4ed4f053c2ed0d7d20ff478e9883f20a3798ff501db073d65c","abstract_canon_sha256":"e21192d3d6d04d3c6354bb6f1fd76303737eb97971dad74414ac1e7c21a7bea3"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:30:25.078264Z","signature_b64":"8oUky0n1Zk3O1H8aMA2PHhim0PTgAMswVJH5UyjU9Qa+rFOn66awXKN5i9pBWQhazJpwxkRYYyYold6rGZloAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a964145ae95359e42a55c1c291b46b1352cbc54b37a8118cb4254ff580441fd0","last_reissued_at":"2026-05-18T02:30:25.077738Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:30:25.077738Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Students Behavioural Analysis in an Online Learning Environment Using Data Mining (ICIAfS)","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CY","authors_text":"I. P. Ratnapala, R. G. Ragel, S. Deegalla","submitted_at":"2014-12-25T11:55:56Z","abstract_excerpt":"The focus of this research was to use Educational Data Mining (EDM) techniques to conduct a quantitative analysis of students interaction with an e-learning system through instructor-led non-graded and graded courses. This exercise is useful for establishing a guideline for a series of online short courses for them. A group of 412 students' access behaviour in an e-learning system were analysed and they were grouped into clusters using K-Means clustering method according to their course access log records. The results explained that more than 40% from the student group are passive online learn"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1412.7813","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":"1412.7813","created_at":"2026-05-18T02:30:25.077823+00:00"},{"alias_kind":"arxiv_version","alias_value":"1412.7813v1","created_at":"2026-05-18T02:30:25.077823+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1412.7813","created_at":"2026-05-18T02:30:25.077823+00:00"},{"alias_kind":"pith_short_12","alias_value":"VFSBIWXJKNM6","created_at":"2026-05-18T12:28:52.271510+00:00"},{"alias_kind":"pith_short_16","alias_value":"VFSBIWXJKNM6IKSV","created_at":"2026-05-18T12:28:52.271510+00:00"},{"alias_kind":"pith_short_8","alias_value":"VFSBIWXJ","created_at":"2026-05-18T12:28:52.271510+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/VFSBIWXJKNM6IKSVYHBJDNDLCN","json":"https://pith.science/pith/VFSBIWXJKNM6IKSVYHBJDNDLCN.json","graph_json":"https://pith.science/api/pith-number/VFSBIWXJKNM6IKSVYHBJDNDLCN/graph.json","events_json":"https://pith.science/api/pith-number/VFSBIWXJKNM6IKSVYHBJDNDLCN/events.json","paper":"https://pith.science/paper/VFSBIWXJ"},"agent_actions":{"view_html":"https://pith.science/pith/VFSBIWXJKNM6IKSVYHBJDNDLCN","download_json":"https://pith.science/pith/VFSBIWXJKNM6IKSVYHBJDNDLCN.json","view_paper":"https://pith.science/paper/VFSBIWXJ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1412.7813&json=true","fetch_graph":"https://pith.science/api/pith-number/VFSBIWXJKNM6IKSVYHBJDNDLCN/graph.json","fetch_events":"https://pith.science/api/pith-number/VFSBIWXJKNM6IKSVYHBJDNDLCN/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/VFSBIWXJKNM6IKSVYHBJDNDLCN/action/timestamp_anchor","attest_storage":"https://pith.science/pith/VFSBIWXJKNM6IKSVYHBJDNDLCN/action/storage_attestation","attest_author":"https://pith.science/pith/VFSBIWXJKNM6IKSVYHBJDNDLCN/action/author_attestation","sign_citation":"https://pith.science/pith/VFSBIWXJKNM6IKSVYHBJDNDLCN/action/citation_signature","submit_replication":"https://pith.science/pith/VFSBIWXJKNM6IKSVYHBJDNDLCN/action/replication_record"}},"created_at":"2026-05-18T02:30:25.077823+00:00","updated_at":"2026-05-18T02:30:25.077823+00:00"}