{"id":"W2889036954","doi":"10.5539/ass.v14n9p58","title":"Development of the Social-Media-based Blended Learning Course to Enhance Student Learning: A Case Study on a Social Science Course","year":2018,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Technology-Enhanced Education Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Blended learning; Social media; Nonprobability sampling; Mathematics education; Flexibility (engineering); Computer science; Class (philosophy); Online course; Course (navigation); Active learning (machine learning); Psychology; Educational technology; World Wide Web; Artificial intelligence; Engineering; Mathematics; Sociology; Population; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.005810665,0.000288424,0.00040744,0.0003174603,0.02332344,0.0002626617,0.002132034,0.0001452873,0.00004589758],"category_scores_gemma":[0.002029373,0.0002589514,0.0001046969,0.006897304,0.0137743,0.0003394697,0.0006185853,0.000638332,0.00007780884],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001450813,"about_ca_system_score_gemma":0.009158229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001701609,"about_ca_topic_score_gemma":0.002380936,"domain_scores_codex":[0.9936143,0.0004200176,0.0005413689,0.0009791597,0.003173114,0.001272102],"domain_scores_gemma":[0.9973918,0.0002014436,0.0005743988,0.0002824181,0.001316995,0.0002330115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000166832,0.0006705574,0.004679071,0.000003430479,0.00002109961,0.00001145963,0.8399793,0.000001063666,0.003785841,0.003453412,0.0003826913,0.1469954],"study_design_scores_gemma":[0.0002493213,0.0001393185,0.2537347,0.0000205855,0.0000314344,0.000001703005,0.7350888,0.000001516927,0.005730942,0.00007397359,0.004625802,0.0003019073],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.960676,0.000008495899,0.0001116934,0.005173086,0.001048346,0.0009206916,0.000002483467,0.0003535236,0.03170566],"genre_scores_gemma":[0.997996,7.59186e-7,0.0005094139,0.0002131763,0.0006099668,0.0001543318,2.713298e-7,0.00001970538,0.0004963778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2490557,"threshold_uncertainty_score":0.9999863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03956775969313524,"score_gpt":0.4317732873038949,"score_spread":0.3922055276107597,"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."}}