{"id":"W2080520866","doi":"10.5539/ies.v6n9p175","title":"Promoting Scientific Literacy by Using ICT in Science Teaching","year":2013,"lang":"en","type":"article","venue":"International Education Studies","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Information and Communications Technology; Scientific literacy; Context (archaeology); Mathematics education; Constructive; Constructivist teaching methods; Literacy; Information literacy; Pedagogy; Teaching method; Science education; Social constructivism; Sociology; Process (computing); Psychology; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.001487606,0.00006564915,0.00007697674,0.0003358983,0.001104203,0.0006643871,0.0003074222,0.00001928398,0.0001185915],"category_scores_gemma":[0.00263117,0.00006327302,0.00002077304,0.0003868721,0.0004571844,0.001720894,0.0000861242,0.0001549229,0.00005995781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004329888,"about_ca_system_score_gemma":0.0009667626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001289907,"about_ca_topic_score_gemma":0.0001131727,"domain_scores_codex":[0.9987014,0.00008881459,0.0002076429,0.00025702,0.0005208847,0.000224271],"domain_scores_gemma":[0.9984105,0.0001101511,0.0001122394,0.00007597744,0.001239383,0.00005180155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002009436,0.0004361685,0.1834446,0.00002032584,0.00003165313,5.175872e-7,0.1749795,0.00002987338,0.01223713,0.008137094,0.006616528,0.6140646],"study_design_scores_gemma":[0.0002690778,0.00002084169,0.01496389,0.0005499072,0.00001147045,0.000003733478,0.1241392,0.004900901,0.0008290274,0.007906505,0.8459837,0.0004217917],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853167,0.0005285354,0.00002828764,0.005549546,0.003089716,0.0001359899,0.000001004795,0.00002996056,0.005320291],"genre_scores_gemma":[0.9899397,0.0000279874,0.005134684,0.0001253047,0.0003126923,0.00002707329,0.000004554956,0.000004597438,0.004423355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8393672,"threshold_uncertainty_score":0.8492751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0522682127527138,"score_gpt":0.4707493413083733,"score_spread":0.4184811285556595,"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."}}