{"id":"W2527219075","doi":"","title":"Addressing Adult Learning Needs Through Blended Learning Environments","year":2009,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Blended learning; Computer science; Experiential learning; Active learning (machine learning); Educational technology; Psychology; Artificial intelligence; Mathematics education","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001031789,0.0002122412,0.0002045888,0.0002985172,0.0005902813,0.001338065,0.0005816818,0.0008308827,0.007481604],"category_scores_gemma":[0.003092294,0.0000831592,0.0002427982,0.0002021489,0.000135925,0.001314674,0.002042097,0.0005540768,0.001438646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003344431,"about_ca_system_score_gemma":0.0009541984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003525527,"about_ca_topic_score_gemma":0.0007818502,"domain_scores_codex":[0.9995611,0.0001290412,0.00003019505,0.00004358055,0.0001292767,0.0001067979],"domain_scores_gemma":[0.9987473,0.000325438,0.00008565016,0.0000653871,0.0002534151,0.0005228113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004752881,0.008376527,0.02655982,0.000520243,0.00003718692,0.0006594768,0.01656806,0.0008351221,0.01311197,0.005606772,0.008900114,0.9183494],"study_design_scores_gemma":[0.001543011,0.01568914,0.2117782,0.002774983,0.0006387467,0.009045038,0.1417438,0.04257391,0.06102321,0.08400186,0.4288943,0.0002939333],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9455246,0.0003038044,0.01991696,0.001620762,0.0001211759,0.0002890874,0.00007978775,0.000160039,0.03198386],"genre_scores_gemma":[0.9510893,0.0004645421,0.0277281,0.0003955345,0.00005873959,0.000294195,0.000125682,0.00002494897,0.01981894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007481604,"threshold_uncertainty_score":0.02502847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04436442269433798,"score_gpt":0.3298812259671521,"score_spread":0.2855168032728141,"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."}}