{"id":"W4406803988","doi":"10.1145/3689187.3709606","title":"Computing Education in African Countries: A Literature Review and Contextualised Learning Materials","year":2025,"lang":"en","type":"review","venue":"","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Universitas Brawijaya; National Science Foundation","keywords":"Computer science; Data science; Knowledge management; Mathematics education; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001691157,0.0003766338,0.001626839,0.0003947567,0.0001619706,0.0008969954,0.0006485644,0.0002064889,0.00001083954],"category_scores_gemma":[0.0005674574,0.0003015008,0.0001125572,0.0009277376,0.00002959284,0.0002108143,0.0003330648,0.000836123,0.00001095904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009319858,"about_ca_system_score_gemma":0.0008788978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006126197,"about_ca_topic_score_gemma":0.000004099279,"domain_scores_codex":[0.9969466,0.001211948,0.0007201794,0.000658168,0.0001523471,0.0003107794],"domain_scores_gemma":[0.9984127,0.0005915565,0.0004431873,0.0004018879,0.00008253734,0.0000681427],"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":[2.420614e-7,0.00001346487,0.000001726644,0.089448,0.00001363346,0.000004134907,0.0005912884,1.979426e-7,1.273842e-8,0.004300771,0.000350839,0.9052757],"study_design_scores_gemma":[0.00004642217,0.00001514174,0.000001284375,0.2424249,0.00008715984,0.00004042848,0.0000277129,0.000006866416,3.272556e-8,0.00000665996,0.7571249,0.0002184587],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[3.183811e-7,0.9919441,0.005760823,0.00025699,0.0002907391,0.0007871912,0.000002233234,0.000252507,0.0007051466],"genre_scores_gemma":[0.000007843943,0.9868426,0.009337135,0.0004847231,0.00006381437,0.00005458498,0.00006206508,0.00001648173,0.003130783],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9050573,"threshold_uncertainty_score":0.9999437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01348651146582659,"score_gpt":0.3368056410631009,"score_spread":0.3233191295972743,"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."}}