{"id":"W4387702748","doi":"10.5430/jct.v12n5p24","title":"Digital Learning Hubs as a Component of the Information and Digital Learning Environment","year":2023,"lang":"en","type":"article","venue":"Journal of Curriculum and Teaching","topic":"Educational Innovations and Challenges","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sociocultural evolution; Decentralization; Process (computing); Component (thermodynamics); Phenomenon; Digital learning; Knowledge management; Computer science; Higher education; Digital transformation; E learning; Educational technology; Mathematics education; Multimedia; Psychology; Sociology; World Wide Web; Political science; Epistemology","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":[0.001129824,0.0001922929,0.0002334343,0.002308303,0.001579031,0.006353638,0.0005744789,0.0007117983,0.008667772],"category_scores_gemma":[0.002234432,0.0001820469,0.0002431601,0.002643957,0.003654993,0.006271528,0.00355674,0.0005922203,0.0006651509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002193664,"about_ca_system_score_gemma":0.002360246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001356424,"about_ca_topic_score_gemma":0.001402265,"domain_scores_codex":[0.9989794,0.00038565,0.00003981073,0.0001650572,0.0001902131,0.0002399546],"domain_scores_gemma":[0.9976647,0.0009324098,0.0003488698,0.0002740794,0.0002929722,0.0004871147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001204493,0.0001391874,0.02969071,0.0002971872,0.00002230869,0.001228695,0.01323838,0.002719747,0.002491103,0.8707919,0.001494336,0.07776614],"study_design_scores_gemma":[0.00007369813,0.0006341575,0.1398673,0.0009607416,0.0002194683,0.003649187,0.09267886,0.02772257,0.009102289,0.4118174,0.3131275,0.0001468017],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7531126,0.001683919,0.05287687,0.002035429,0.0000901662,0.0001639946,0.0002146748,0.0003596501,0.1894627],"genre_scores_gemma":[0.9898939,0.0002633413,0.003145066,0.00002985034,0.00001887592,0.00001858614,0.00003012488,0.00001177578,0.006588526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008667772,"threshold_uncertainty_score":0.02899659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008008093920200203,"score_gpt":0.2283838221555337,"score_spread":0.2203757282353334,"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."}}