{"id":"W7132890424","doi":"","title":"Harnessing Microlearning for Effective Professional Development to Enhance Early Years Alphabet Instruction","year":2024,"lang":"","type":"dissertation","venue":"TSpace","topic":"E-Learning and COVID-19","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Professional development; Thematic analysis; Alphabet; Faculty development; Literacy; Educational technology; Professional learning community; Teaching method","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":[0.001923238,0.0003849842,0.0002845109,0.001212732,0.001028081,0.001289988,0.001182876,0.0003368256,0.00446942],"category_scores_gemma":[0.00484051,0.000184406,0.0003502973,0.0005211646,0.001103807,0.00112703,0.004648295,0.0006635803,0.0005858813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004146515,"about_ca_system_score_gemma":0.01397463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02969213,"about_ca_topic_score_gemma":0.1345337,"domain_scores_codex":[0.9986922,0.0003473642,0.00005216436,0.0001403091,0.0005006474,0.0002673212],"domain_scores_gemma":[0.9984322,0.0006157691,0.0001629896,0.0001170915,0.0002530941,0.0004189484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001983768,0.002359941,0.0153838,0.002034224,0.00003211851,0.0006872367,0.05408148,0.000799371,0.0216686,0.0043552,0.004343905,0.8940558],"study_design_scores_gemma":[0.0007505821,0.00910876,0.3345374,0.007339859,0.0006012198,0.001834858,0.1137664,0.00825277,0.06204275,0.02474811,0.4367655,0.0002517595],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9263061,0.00110802,0.02133151,0.00244042,0.00008064035,0.001718982,0.0002171164,0.0005720649,0.04622513],"genre_scores_gemma":[0.9038211,0.001650257,0.08398145,0.0004038486,0.00002072614,0.0007560592,0.0001136011,0.00003617306,0.009216715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02969213,"threshold_uncertainty_score":0.05903864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01338442567699654,"score_gpt":0.4058448480552844,"score_spread":0.3924604223782878,"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."}}