{"id":"W3129078225","doi":"10.3926/jotse.1050","title":"Enhance learning experience using technology in class","year":2021,"lang":"en","type":"article","venue":"Journal of Technology and Science Education","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Class (philosophy); Mathematics education; Computer science; Multimedia; Educational technology; Psychology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005081868,0.0004945363,0.0003912124,0.0005473293,0.0004254512,0.002119798,0.0004138355,0.0004950523,0.01582889],"category_scores_gemma":[0.003033676,0.00009755201,0.0004972083,0.000177276,0.0001961194,0.0006523286,0.001243711,0.0005374349,0.003143644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002345478,"about_ca_system_score_gemma":0.0002496156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001970978,"about_ca_topic_score_gemma":0.0003096499,"domain_scores_codex":[0.999513,0.00009526055,0.00002585358,0.00007770122,0.0001251891,0.0001629535],"domain_scores_gemma":[0.9983725,0.0005558726,0.0001806207,0.00009477347,0.0002260961,0.000570064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006316708,0.01390733,0.1348945,0.001077127,0.0001211551,0.002123951,0.01580153,0.001146003,0.1254374,0.001236481,0.01535367,0.6882693],"study_design_scores_gemma":[0.0002556396,0.01788806,0.7728177,0.000384285,0.0003178803,0.006089232,0.0191235,0.003250763,0.05082823,0.001987105,0.1268435,0.0002142392],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778335,0.0002464858,0.004065245,0.0003722626,0.00009493624,0.000177419,0.0001238648,0.0002450123,0.01684137],"genre_scores_gemma":[0.9800857,0.0004839097,0.004831597,0.0001921176,0.00009239085,0.0001553344,0.0001695242,0.00004095247,0.01394852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01582889,"threshold_uncertainty_score":0.05295289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01060021840759628,"score_gpt":0.3323394169295961,"score_spread":0.3217391985219998,"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."}}