{"id":"W1973840977","doi":"10.5539/ies.v6n5p92","title":"Concept Based Approach for Adaptive Personalized Course Learning System","year":2013,"lang":"en","type":"article","venue":"International Education Studies","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Personalization; Computer science; Computerized adaptive testing; Adaptive learning; Personalized learning; Course (navigation); Domain (mathematical analysis); Point (geometry); Test (biology); Instructional design; Artificial intelligence; Multimedia; Teaching method; Mathematics education; Cooperative learning; Open learning; World Wide Web; Psychology; Mathematics; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005941231,0.0004340111,0.0004311787,0.001157306,0.0004108865,0.001051155,0.001456924,0.000982966,0.008187368],"category_scores_gemma":[0.001274723,0.0002042296,0.0007722375,0.0007198951,0.0004292431,0.001269222,0.0007534982,0.0007439595,0.001821562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000700829,"about_ca_system_score_gemma":0.0008859374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002324303,"about_ca_topic_score_gemma":0.001774866,"domain_scores_codex":[0.9993005,0.0001277357,0.00005066796,0.0001958932,0.0002822046,0.00004300938],"domain_scores_gemma":[0.9996793,0.00008682191,0.00001642661,0.00003933834,0.0001596248,0.00001848085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002006833,0.0003640559,0.0018808,0.0006313591,0.0001223152,0.0006352352,0.0009029246,0.03219197,0.04589086,0.1105089,0.0128171,0.7938538],"study_design_scores_gemma":[0.0001478409,0.000453817,0.002465995,0.0001052572,0.0001942889,0.001516634,0.000426403,0.8050801,0.02543034,0.05847708,0.1056001,0.0001022515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00801201,0.0003004535,0.9824449,0.0001729514,0.00007995396,0.0004411426,0.0001165097,0.001697681,0.00673428],"genre_scores_gemma":[0.1813885,0.000464802,0.8054807,0.0001987082,0.00006616685,0.0009295964,0.000378588,0.00008150902,0.01101141],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008187368,"threshold_uncertainty_score":0.02738941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06404294931851219,"score_gpt":0.3425386997773943,"score_spread":0.2784957504588821,"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."}}