{"id":"W4385739141","doi":"10.1177/00472395231191139","title":"Modeling the Impact of Motivation Factors on Students’ Study Strategies and Performance Using Machine Learning","year":2023,"lang":"en","type":"article","venue":"Journal of Educational Technology Systems","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Competence (human resources); Computer science; Autonomy; Process (computing); Random forest; Decision tree; Machine learning; Knowledge management; Artificial intelligence; Mathematics education; Psychology; Social psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003637912,0.0008565843,0.0005186381,0.001530101,0.0003012306,0.001564114,0.0007775064,0.0007989701,0.00114896],"category_scores_gemma":[0.01142797,0.0002747083,0.001253268,0.0009988529,0.0002904487,0.001174442,0.0004477435,0.0008308879,0.0002873528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007214895,"about_ca_system_score_gemma":0.001164579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006954131,"about_ca_topic_score_gemma":0.007849526,"domain_scores_codex":[0.9990585,0.0004873219,0.00006068385,0.0001671685,0.0001082913,0.0001179919],"domain_scores_gemma":[0.9920595,0.006464115,0.000624377,0.0002615523,0.0003708589,0.0002195408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003659673,0.001946291,0.631695,0.0001271165,0.0005287629,0.0001377574,0.0006154605,0.2641436,0.00149633,0.002633678,0.0006716035,0.09563842],"study_design_scores_gemma":[0.00001635161,0.0003749786,0.07349663,0.00003464281,0.00009371265,0.00003368768,0.0001539791,0.9219856,0.0005790861,0.002806342,0.0004001404,0.00002485801],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9445813,0.0002016038,0.0534736,0.0002755209,0.00002327901,0.0001195081,0.0002865068,0.0001139137,0.0009248137],"genre_scores_gemma":[0.9879557,0.00008768951,0.01107553,0.00002264661,0.000008230118,0.0001034749,0.0002605578,0.000006457651,0.0004797107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006954131,"threshold_uncertainty_score":0.01923937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04969873577434582,"score_gpt":0.3640662426173486,"score_spread":0.3143675068430028,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}