{"id":"W2395824329","doi":"","title":"A Case Study on Learning Difficulties and Corresponding Supports for Learning in cMOOCs.","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Learning and Technology","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mathematics education; Psychology; Educational technology; Teaching method; Experiential learning; Computer science; Pedagogy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009097897,0.0001596499,0.0003230134,0.001611301,0.0004268377,0.0001191826,0.0002077296,0.0001413956,0.000003596007],"category_scores_gemma":[0.00181581,0.0001211364,0.00003871716,0.0004471251,0.0001339394,0.0001592535,0.00005422924,0.0009365597,0.000001464734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000718797,"about_ca_system_score_gemma":0.0002668046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002036505,"about_ca_topic_score_gemma":0.001260695,"domain_scores_codex":[0.9986832,0.0001715187,0.0003447332,0.0002815431,0.0001013985,0.0004176289],"domain_scores_gemma":[0.9987749,0.0004615527,0.0002826346,0.000105288,0.0001333263,0.0002423392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001518894,0.00002973815,0.8162488,0.00001185166,0.00003429074,0.008983258,0.002654316,0.0006362683,0.0002589984,0.001228221,0.00002847859,0.1698706],"study_design_scores_gemma":[0.0287084,0.05845952,0.06961766,0.004312359,0.0003929289,0.2058536,0.3744398,0.08263887,0.00100827,0.009700176,0.1605041,0.004364321],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902973,0.0002620875,0.004828796,0.004315641,0.0001164921,0.0000899467,4.404725e-7,0.0000617417,0.00002752353],"genre_scores_gemma":[0.9976963,0.00003184848,0.001136816,0.00001185639,0.00004517504,0.000003391549,2.375201e-7,0.00001624616,0.001058109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7466311,"threshold_uncertainty_score":0.4939801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01203541651507075,"score_gpt":0.2619665196992276,"score_spread":0.2499311031841568,"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."}}