{"id":"W4401252506","doi":"10.1007/s10758-024-09771-0","title":"Drivers of Digital Realities for Ongoing Teacher Professional Learning","year":2024,"lang":"en","type":"article","venue":"Technology Knowledge and Learning","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Università degli Studi di Padova","keywords":"Transformative learning; Educational technology; Professional development; Boundary object; Sociology; Technology integration; Engineering ethics; Teacher education; Knowledge management; Pedagogy; Computer science; Engineering","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":[0.005329507,0.0001933558,0.0002075421,0.00197122,0.005348631,0.01881104,0.001090757,0.001820718,0.008299809],"category_scores_gemma":[0.01914564,0.000326199,0.0002954001,0.001638656,0.01075791,0.01108204,0.0118892,0.002743846,0.0008471165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007546359,"about_ca_system_score_gemma":0.007359723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002294085,"about_ca_topic_score_gemma":0.002672491,"domain_scores_codex":[0.9921461,0.003825775,0.0003914112,0.0008767049,0.001632239,0.001127811],"domain_scores_gemma":[0.9791439,0.01037384,0.003450612,0.001562404,0.001893355,0.003575912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001159961,0.000325977,0.09734282,0.0002913446,0.00002650922,0.002352914,0.2161216,0.001755731,0.002367773,0.5881111,0.003267084,0.08792112],"study_design_scores_gemma":[0.00003529535,0.0001674045,0.04539735,0.0005195674,0.00002141723,0.001176735,0.5916963,0.005891503,0.00262187,0.1889247,0.1634675,0.00008024514],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8541229,0.0004087334,0.01468769,0.01714914,0.00006855351,0.0001013293,0.00009083319,0.0001262539,0.1132445],"genre_scores_gemma":[0.9979721,0.00007287718,0.000719802,0.00006246031,0.0000067076,0.00001323874,0.00001132281,0.00001146565,0.001130066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01881104,"threshold_uncertainty_score":0.05475295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01069044583638057,"score_gpt":0.2936071234537009,"score_spread":0.2829166776173203,"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."}}