{"id":"W2788174374","doi":"10.19173/irrodl.v19i1.2886","title":"Evaluation of Online Video Usage and Learning Satisfaction: An Extension of the Technology Acceptance Model","year":2018,"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":227,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Technology acceptance model; Structural equation modeling; Usability; Psychology; The Internet; E learning; Educational technology; Multimedia; Computer science; Class (philosophy); Mathematics education; Knowledge management; World Wide Web; Human–computer interaction; Artificial intelligence","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":[0.004961781,0.0003491025,0.0003731462,0.001330879,0.0002007454,0.001261513,0.0004527634,0.000717461,0.002563998],"category_scores_gemma":[0.01908967,0.0001423216,0.0008667566,0.001074159,0.0005048111,0.00143181,0.0008131546,0.0006049446,0.0003742727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005457852,"about_ca_system_score_gemma":0.0005212615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001237586,"about_ca_topic_score_gemma":0.001106746,"domain_scores_codex":[0.9945011,0.003523772,0.0003254788,0.0002156264,0.001194844,0.0002391563],"domain_scores_gemma":[0.9729091,0.01924762,0.002993924,0.0007641706,0.003519879,0.0005653038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004655258,0.001275158,0.7921929,0.0003638107,0.0002315461,0.0002414224,0.003501379,0.003422883,0.002196697,0.003715882,0.000763803,0.1916291],"study_design_scores_gemma":[0.00005388472,0.003256636,0.9209211,0.0002634574,0.0001860427,0.0004114662,0.007355707,0.06070893,0.00174627,0.002487184,0.00254496,0.00006431971],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749898,0.0002553787,0.01291639,0.0002864047,0.00001732015,0.0002089224,0.0001035828,0.00003400334,0.01118824],"genre_scores_gemma":[0.9976068,0.0001066799,0.00163788,0.00003581318,0.000009157272,0.0001175647,0.00005790611,0.000003423301,0.000424821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004961781,"threshold_uncertainty_score":0.02624071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3374501537577431,"score_gpt":0.5542321298507284,"score_spread":0.2167819760929854,"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."}}