{"id":"W4390646791","doi":"10.55849/jete.v1i4.470","title":"Improving Learning Achievement by Applying the Pakem Learning Model","year":2023,"lang":"en","type":"article","venue":"Journal Emerging Technologies in Education","topic":"Educational Curriculum and Learning Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Formative assessment; Mathematics education; Action research; Process (computing); Meaning (existential); Computer science; Action (physics); Reflection (computer programming); Test (biology); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002253582,0.0005501067,0.0003363496,0.0006436261,0.0005227341,0.002294893,0.0009516571,0.0005204082,0.003264182],"category_scores_gemma":[0.004413144,0.0001885916,0.0004777694,0.0003974029,0.0009773388,0.002103069,0.001999985,0.001120803,0.0009748659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008296802,"about_ca_system_score_gemma":0.001797698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003784116,"about_ca_topic_score_gemma":0.0007517357,"domain_scores_codex":[0.998042,0.0008340841,0.00009595612,0.0002110583,0.000693235,0.0001235427],"domain_scores_gemma":[0.9977779,0.001066464,0.0003057244,0.0001970213,0.0005262642,0.0001267302],"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":[0.0003718286,0.002837925,0.02858985,0.001514516,0.00008651951,0.0003265306,0.01032525,0.02150528,0.005784254,0.1599688,0.007540381,0.761149],"study_design_scores_gemma":[0.0006688006,0.009728258,0.06060747,0.002512914,0.0004031632,0.003598884,0.01924863,0.2550721,0.03182042,0.4550298,0.1610408,0.0002689392],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4093555,0.0004477779,0.3385097,0.00580086,0.0001393492,0.001385445,0.0002423895,0.0008541049,0.2432649],"genre_scores_gemma":[0.7991083,0.0004028241,0.1839339,0.0003206804,0.00002156908,0.0008026046,0.0001142203,0.00003675026,0.01525924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003264182,"threshold_uncertainty_score":0.01191819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02772507966427861,"score_gpt":0.3772912649122205,"score_spread":0.3495661852479419,"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."}}