{"id":"W2400988228","doi":"10.19173/irrodl.v17i3.2344","title":"Blending Formal and Informal Learning Networks for Online Learning","year":2016,"lang":"en","type":"article","venue":"The International Review of Research in Open and Distributed Learning","topic":"E-Learning and Knowledge Management","field":"Computer Science","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Formal learning; Informal learning; Synchronous learning; Informal education; Educational technology; Learning sciences; Online learning; Social learning; Computer science; Cooperative learning; Blended learning; Collaborative learning; Experiential learning; Active learning (machine learning); Mathematics education; Knowledge management; Psychology; Pedagogy; Higher education; Multimedia; Teaching method; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003972712,0.0002344808,0.0001763691,0.0007575618,0.0008612067,0.004820835,0.000928024,0.0006523889,0.003192116],"category_scores_gemma":[0.008781358,0.0001461083,0.0002466473,0.0006554442,0.001648865,0.006274822,0.004488046,0.0008391404,0.0005331859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001146347,"about_ca_system_score_gemma":0.001412989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004050383,"about_ca_topic_score_gemma":0.001355569,"domain_scores_codex":[0.9949591,0.003592082,0.000162906,0.0002574409,0.000737726,0.0002906841],"domain_scores_gemma":[0.9901325,0.006199145,0.001160045,0.001240135,0.0005431897,0.0007251154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001533599,0.0009497333,0.01499729,0.001059509,0.00003344203,0.0004284829,0.02210939,0.003033181,0.009462477,0.2061011,0.003014578,0.7386575],"study_design_scores_gemma":[0.0001845701,0.001891432,0.03671883,0.002312779,0.0001246966,0.001984477,0.05572901,0.03569527,0.01547257,0.3940496,0.4556832,0.0001535083],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4507852,0.002453328,0.3930124,0.006480445,0.0002609183,0.0008471174,0.00007274078,0.0005815427,0.1455062],"genre_scores_gemma":[0.9152364,0.0007765794,0.07500845,0.0002957034,0.00006272026,0.0004070594,0.00003861585,0.00003965606,0.008134874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004820835,"threshold_uncertainty_score":0.02100992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0672383013490327,"score_gpt":0.4027365071126439,"score_spread":0.3354982057636112,"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."}}