{"id":"W2076367793","doi":"10.1016/j.chb.2011.04.007","title":"Evaluating learning, design, and engagement in web-based learning tools (WBLTs): The WBLT Evaluation Scale","year":2011,"lang":"en","type":"article","venue":"Computers in Human Behavior","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":65,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Scale (ratio); Construct validity; Construct (python library); Reliability (semiconductor); Psychology; Quality (philosophy); Computer science; Convergent validity; Cognition; Mathematics education; Psychometrics","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":[0.007658743,0.0005804166,0.0007820026,0.001757068,0.0005650093,0.001044046,0.000606918,0.0008102626,0.002635632],"category_scores_gemma":[0.03350312,0.0003622599,0.002461246,0.0008597398,0.0006280285,0.001808714,0.002520049,0.00099352,0.0008145832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000870849,"about_ca_system_score_gemma":0.001284436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001014251,"about_ca_topic_score_gemma":0.00269389,"domain_scores_codex":[0.9906737,0.003263799,0.001237837,0.0002857351,0.004168603,0.0003704043],"domain_scores_gemma":[0.9756555,0.01185277,0.003677929,0.001271913,0.00505867,0.002483218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003883765,0.008467153,0.5741059,0.001116634,0.001612202,0.0001736562,0.004903584,0.004563173,0.006798253,0.001453761,0.01091225,0.3820098],"study_design_scores_gemma":[0.0006731925,0.005775425,0.9689994,0.0003188998,0.0004037123,0.000164334,0.001791657,0.005782554,0.004638746,0.001304713,0.01003913,0.00010824],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790092,0.0003316196,0.006153062,0.0002892065,0.00007431631,0.002066197,0.0008975624,0.0001524537,0.01102635],"genre_scores_gemma":[0.9670662,0.0005460657,0.01913199,0.0002243629,0.00004800312,0.006474186,0.002113938,0.00008581894,0.004309502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007658743,"threshold_uncertainty_score":0.0405038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2264882103137949,"score_gpt":0.3870420259793445,"score_spread":0.1605538156655496,"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."}}