{"id":"W2400807290","doi":"10.24059/olj.v8i2.1825","title":"A CONSTRUCTIVIST METHOD FOR THE ANALYSIS OF NETWORKED COGNITIVE COMMUNICATION AND THE ASSESSMENT OF COLLABORATIVE LEARNING AND KNOWLEDGE-BUILDING","year":2019,"lang":"en","type":"article","venue":"Online Learning","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Universidade de São Paulo; Simon Fraser University; Université Laval","keywords":"Constructivist teaching methods; Computer science; Cognition; Knowledge management; Asynchronous communication; Networked learning; Conceptual change; Social constructivism; Collaborative learning; Sentence; Knowledge building; Cognitive science; Psychology; Mathematics education; Artificial intelligence; Pedagogy; Educational technology; Teaching method","routes":{"ca_aff":true,"ca_fund":true,"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":[0.03167152,0.001939575,0.001430202,0.008644251,0.003223917,0.004494975,0.002771046,0.001392026,0.01054213],"category_scores_gemma":[0.03884986,0.000708235,0.001563574,0.007344089,0.01077892,0.004057217,0.006147192,0.00403807,0.001633686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004079833,"about_ca_system_score_gemma":0.00745363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002525774,"about_ca_topic_score_gemma":0.003237523,"domain_scores_codex":[0.9628827,0.02731417,0.001658224,0.002594267,0.005113111,0.0004376186],"domain_scores_gemma":[0.9613652,0.03040701,0.001494423,0.003228981,0.003090584,0.0004137801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002789215,0.0004752254,0.00328237,0.004597167,0.0002287908,0.0002841745,0.08824851,0.002573225,0.01502645,0.3645806,0.00950359,0.5109209],"study_design_scores_gemma":[0.0004485683,0.001041048,0.01200924,0.004111539,0.0002406941,0.001301967,0.04814441,0.03183506,0.02563729,0.4964229,0.3782953,0.0005119187],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007948477,0.0006339441,0.967373,0.000451604,0.000242813,0.004871289,0.0005168666,0.0004412732,0.01752082],"genre_scores_gemma":[0.04016874,0.0004558578,0.9379766,0.0001786494,0.00005149794,0.01662683,0.000263475,0.0001729819,0.0041055],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03167152,"threshold_uncertainty_score":0.167497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02202782370492974,"score_gpt":0.4641688867260794,"score_spread":0.4421410630211497,"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."}}