{"id":"W1537334986","doi":"10.19173/irrodl.v8i2.350","title":"m-Learning: Positioning educators for a mobile, connected future","year":2007,"lang":"en","type":"article","venue":"The International Review of Research in Open and Distributed Learning","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":325,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mainstream; Educational technology; Mobile technology; Mobile device; Computer science; Blended learning; Multimedia; Synchronous learning; Open learning; M-learning; Knowledge management; World Wide Web; Teaching method; Cooperative learning; Sociology; Pedagogy","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":[0.01062476,0.0001127652,0.000223495,0.0002320594,0.000340188,0.0003111747,0.001879624,0.00005642853,0.00006139481],"category_scores_gemma":[0.003174543,0.00008824527,0.000057202,0.0009806723,0.0001176935,0.0003779446,0.0006985044,0.0008514919,0.000008586625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000169326,"about_ca_system_score_gemma":0.0002698159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001201522,"about_ca_topic_score_gemma":0.000008841584,"domain_scores_codex":[0.9976641,0.0005384969,0.000457693,0.0003581333,0.0006234943,0.0003580803],"domain_scores_gemma":[0.9962516,0.002356623,0.0002483884,0.0002796818,0.0007670595,0.00009662882],"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":[0.0003261085,0.0006825402,0.1004641,0.003497751,0.0001717469,0.00002294651,0.003752251,0.002302419,0.0007126068,0.2921125,0.0122276,0.5837274],"study_design_scores_gemma":[0.002133546,0.001143972,0.07046721,0.0149699,0.00002388052,0.0001386225,0.02056083,0.022451,0.000760092,0.008642652,0.858134,0.0005743357],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5674101,0.06265518,0.2305153,0.08941723,0.003378903,0.01251796,0.00005383445,0.0003122282,0.03373924],"genre_scores_gemma":[0.9872454,0.006889769,0.004248132,0.0002751503,0.0002701211,0.0003970446,0.0002025903,0.00001471178,0.0004570573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8459064,"threshold_uncertainty_score":0.3800454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03788264844065217,"score_gpt":0.4307227729393625,"score_spread":0.3928401244987103,"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."}}