{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:VYV6JCWDA2HD4MFQ5U2S4SSTGE","short_pith_number":"pith:VYV6JCWD","schema_version":"1.0","canonical_sha256":"ae2be48ac3068e3e30b0ed352e4a53313ea8b5a35f6f6275075c50db2db3c5ab","source":{"kind":"arxiv","id":"2605.09393","version":2},"attestation_state":"computed","paper":{"title":"Prediction Model of Motivators and Demotivators of Integrating Large Language Models in Software Engineering Education: An Empirical Study","license":"http://creativecommons.org/licenses/by/4.0/","headline":"Governance mechanisms like integrity and ethical safeguards should be prioritized for cost-efficient LLM integration in software engineering education.","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Estefan\\'ia Mart\\'in-Barroso, Jussi Kasurinen, Maryam Khan, Muhammad Azeem Akbar","submitted_at":"2026-05-10T07:41:25Z","abstract_excerpt":"Context: Large Language Models (LLMs) are increasingly influencing software engineering practice and education. While prior studies examine their technical performance and classroom use, limited research provides cost-aware and empirically grounded models for systematic institutional integration.\n  Objective: This study develops and validates a prediction model to identify cost-efficient strategies for integrating LLMs into software engineering education using motivating and demotivating factors.\n  Method: Based on our previously developed literature survey taxonomies [1], we operationalized 1"},"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":"2605.09393","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-05-10T07:41:25Z","cross_cats_sorted":[],"title_canon_sha256":"2fe3aa541452714cda9b1d6b471e4641cb7dfdf3dd739ff61fd73e6de075860f","abstract_canon_sha256":"4e5f3ed44dca17a0864118a9f338b811a6aa8cb62bd1ca855a27fdc19029c840"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:03:16.390965Z","signature_b64":"0vZ28HjVDBbuF3i5Yembu8ll99HJDGCtmoyyCcHEHmgn/ZmIylNzG4xLoxBkBCf/eNs9tXdktZpuY+47kyS5Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ae2be48ac3068e3e30b0ed352e4a53313ea8b5a35f6f6275075c50db2db3c5ab","last_reissued_at":"2026-05-20T00:03:16.390029Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:03:16.390029Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Prediction Model of Motivators and Demotivators of Integrating Large Language Models in Software Engineering Education: An Empirical Study","license":"http://creativecommons.org/licenses/by/4.0/","headline":"Governance mechanisms like integrity and ethical safeguards should be prioritized for cost-efficient LLM integration in software engineering education.","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Estefan\\'ia Mart\\'in-Barroso, Jussi Kasurinen, Maryam Khan, Muhammad Azeem Akbar","submitted_at":"2026-05-10T07:41:25Z","abstract_excerpt":"Context: Large Language Models (LLMs) are increasingly influencing software engineering practice and education. While prior studies examine their technical performance and classroom use, limited research provides cost-aware and empirically grounded models for systematic institutional integration.\n  Objective: This study develops and validates a prediction model to identify cost-efficient strategies for integrating LLMs into software engineering education using motivating and demotivating factors.\n  Method: Based on our previously developed literature survey taxonomies [1], we operationalized 1"},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"Optimization results indicate that governance-related mechanisms, particularly integrity and ethical safeguards, should be prioritized under cost constraints.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"That Likert-scale survey responses from 126 stakeholders can be directly encoded into probabilistic predictions of real-world LLM familiarity and that the resulting probabilities can be meaningfully traded off against unspecified implementation costs in a genetic algorithm.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"Survey data from 126 stakeholders is used to train probabilistic models whose outputs feed a genetic algorithm that recommends prioritizing governance mechanisms for cost-constrained LLM integration in software engineering education.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"Governance mechanisms like integrity and ethical safeguards should be prioritized for cost-efficient LLM integration in software engineering education.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"040c1b89d67c00e7ad1835e560c4a0bd06ca4dd572c8287b50fb03dde3a5791e"},"source":{"id":"2605.09393","kind":"arxiv","version":2},"verdict":{"id":"fe3084d6-edfd-4bfe-b829-83679353f310","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-12T04:33:54.429410Z","strongest_claim":"Optimization results indicate that governance-related mechanisms, particularly integrity and ethical safeguards, should be prioritized under cost constraints.","one_line_summary":"Survey data from 126 stakeholders is used to train probabilistic models whose outputs feed a genetic algorithm that recommends prioritizing governance mechanisms for cost-constrained LLM integration in software engineering education.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"That Likert-scale survey responses from 126 stakeholders can be directly encoded into probabilistic predictions of real-world LLM familiarity and that the resulting probabilities can be meaningfully traded off against unspecified implementation costs in a genetic algorithm.","pith_extraction_headline":"Governance mechanisms like integrity and ethical safeguards should be prioritized for cost-efficient LLM integration in software engineering education."},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2605.09393/integrity.json","findings":[],"available":true,"detectors_run":[{"name":"ai_meta_artifact","ran_at":"2026-05-19T19:36:16.467338Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"doi_title_agreement","ran_at":"2026-05-19T13:01:18.352632Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"doi_compliance","ran_at":"2026-05-19T10:18:30.741815Z","status":"completed","version":"1.0.0","findings_count":0}],"snapshot_sha256":"908c913728d74011b0e5880b1c6bd2e1e4f4780dffbfd82d7616546250cf4ba4"},"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":"2605.09393","created_at":"2026-05-20T00:03:16.390189+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.09393v2","created_at":"2026-05-20T00:03:16.390189+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.09393","created_at":"2026-05-20T00:03:16.390189+00:00"},{"alias_kind":"pith_short_12","alias_value":"VYV6JCWDA2HD","created_at":"2026-05-20T00:03:16.390189+00:00"},{"alias_kind":"pith_short_16","alias_value":"VYV6JCWDA2HD4MFQ","created_at":"2026-05-20T00:03:16.390189+00:00"},{"alias_kind":"pith_short_8","alias_value":"VYV6JCWD","created_at":"2026-05-20T00:03:16.390189+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/VYV6JCWDA2HD4MFQ5U2S4SSTGE","json":"https://pith.science/pith/VYV6JCWDA2HD4MFQ5U2S4SSTGE.json","graph_json":"https://pith.science/api/pith-number/VYV6JCWDA2HD4MFQ5U2S4SSTGE/graph.json","events_json":"https://pith.science/api/pith-number/VYV6JCWDA2HD4MFQ5U2S4SSTGE/events.json","paper":"https://pith.science/paper/VYV6JCWD"},"agent_actions":{"view_html":"https://pith.science/pith/VYV6JCWDA2HD4MFQ5U2S4SSTGE","download_json":"https://pith.science/pith/VYV6JCWDA2HD4MFQ5U2S4SSTGE.json","view_paper":"https://pith.science/paper/VYV6JCWD","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.09393&json=true","fetch_graph":"https://pith.science/api/pith-number/VYV6JCWDA2HD4MFQ5U2S4SSTGE/graph.json","fetch_events":"https://pith.science/api/pith-number/VYV6JCWDA2HD4MFQ5U2S4SSTGE/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/VYV6JCWDA2HD4MFQ5U2S4SSTGE/action/timestamp_anchor","attest_storage":"https://pith.science/pith/VYV6JCWDA2HD4MFQ5U2S4SSTGE/action/storage_attestation","attest_author":"https://pith.science/pith/VYV6JCWDA2HD4MFQ5U2S4SSTGE/action/author_attestation","sign_citation":"https://pith.science/pith/VYV6JCWDA2HD4MFQ5U2S4SSTGE/action/citation_signature","submit_replication":"https://pith.science/pith/VYV6JCWDA2HD4MFQ5U2S4SSTGE/action/replication_record"}},"created_at":"2026-05-20T00:03:16.390189+00:00","updated_at":"2026-05-20T00:03:16.390189+00:00"}