{"id":"W1550674699","doi":"10.19173/irrodl.v16i3.1984","title":"The use of a mobile learning management system at an online university and its effect on learning satisfaction and achievement","year":2015,"lang":"en","type":"article","venue":"The International Review of Research in Open and Distributed Learning","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":140,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Technology acceptance model; Psychology; Structural equation modeling; Educational technology; Learning Management; Knowledge management; M-learning; Usability; Mathematics education; Mobile device; Computer science; Human–computer interaction; World Wide Web","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":[0.001942932,0.0002023896,0.0003578511,0.0007985472,0.0006486906,0.002309891,0.0003599289,0.0005409383,0.004685713],"category_scores_gemma":[0.01166991,0.000128799,0.0006572476,0.0008669829,0.0004704839,0.0007593058,0.000944994,0.000981099,0.0008713736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005538223,"about_ca_system_score_gemma":0.0008107928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003256208,"about_ca_topic_score_gemma":0.003134217,"domain_scores_codex":[0.9975682,0.001010235,0.000216098,0.0001717077,0.0006441302,0.0003896291],"domain_scores_gemma":[0.9818667,0.008129079,0.004281973,0.0005092035,0.001965789,0.003247358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003131812,0.002306533,0.9631159,0.00005918127,0.0001062569,0.0001681561,0.002089577,0.0002884055,0.0009738611,0.000244282,0.0002626072,0.03007212],"study_design_scores_gemma":[0.000009066523,0.000881811,0.9932748,0.00002018166,0.00004370986,0.00006384174,0.003166339,0.001372217,0.0005756876,0.00009377501,0.0004821311,0.00001639823],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985741,0.00002997582,0.00009443198,0.00008337248,0.000004413328,0.000005933749,0.00002007455,0.000004393164,0.001183205],"genre_scores_gemma":[0.9993256,0.00003284457,0.00008820555,0.00001687314,0.000004715527,0.000007739245,0.00002517613,0.000001786289,0.000496999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004685713,"threshold_uncertainty_score":0.01567525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3105632519065395,"score_gpt":0.4763045001504383,"score_spread":0.1657412482438989,"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."}}