{"id":"W4362737013","doi":"10.1007/s40593-023-00334-5","title":"Choice-based Personalization in MOOCs: Impact on Activity and Perceived Value","year":2023,"lang":"en","type":"article","venue":"International Journal of Artificial Intelligence in Education","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of British Columbia; Ministry of Aliyah and Immigrant Absorption; Gordon and Betty Moore Foundation","keywords":"Personalization; Context (archaeology); Computer science; Affect (linguistics); Task (project management); Psychology; World Wide Web; Engineering; Geography","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":[0.001828888,0.0001922271,0.0002845432,0.000553348,0.0003169224,0.001587856,0.0003016611,0.00031264,0.00320906],"category_scores_gemma":[0.010315,0.0001204694,0.0004769808,0.0003783373,0.0003337408,0.0006421856,0.001009706,0.0006540449,0.0002182441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005199205,"about_ca_system_score_gemma":0.0003741405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00120364,"about_ca_topic_score_gemma":0.001645033,"domain_scores_codex":[0.9987659,0.0004844008,0.00007444499,0.0001382809,0.0003495726,0.0001874565],"domain_scores_gemma":[0.9897008,0.004542013,0.001425591,0.0009084199,0.0006898383,0.002733387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002329491,0.01229612,0.7135291,0.0002717418,0.0004875416,0.0001775663,0.004488643,0.004525192,0.01603298,0.0009044068,0.001229728,0.2437275],"study_design_scores_gemma":[0.00009387021,0.001967845,0.9857162,0.00003436154,0.00009767475,0.0000645262,0.001742829,0.004261801,0.003185361,0.0009565506,0.001838414,0.00004057974],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982033,0.00003301949,0.0004077394,0.00004685771,0.000005714249,0.00002256291,0.00002351565,0.00001741207,0.001239925],"genre_scores_gemma":[0.9990487,0.00002131446,0.0005409011,0.00001566103,0.000005453706,0.00001217466,0.0000323419,0.000003926895,0.0003195016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00320906,"threshold_uncertainty_score":0.01073533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03404431165580401,"score_gpt":0.3945684339625524,"score_spread":0.3605241223067484,"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."}}