{"id":"W3108483445","doi":"10.19173/irrodl.v21i3.4600","title":"Faculty and Student Technology Use to Enhance Student Learning","year":2020,"lang":"en","type":"article","venue":"The International Review of Research in Open and Distributed Learning","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Educational technology; Technology integration; Information technology; Blended learning; Inclusion (mineral); Higher education; Learning Management; Knowledge management; Medical education; Psychology; Computer science; Pedagogy; Mathematics education; Medicine; Political science","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":[0.008381773,0.0001521237,0.000297777,0.002736348,0.0005359277,0.002677473,0.0005231655,0.0003834743,0.005559576],"category_scores_gemma":[0.03071201,0.00007658464,0.0005067953,0.003466573,0.0003209989,0.001440813,0.001549163,0.0003840211,0.001015493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001224777,"about_ca_system_score_gemma":0.001936277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007512326,"about_ca_topic_score_gemma":0.001617653,"domain_scores_codex":[0.9906951,0.004600361,0.0006191442,0.0004918181,0.003183289,0.0004101688],"domain_scores_gemma":[0.9660055,0.01878507,0.006494738,0.001096827,0.005716415,0.001901483],"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":[0.0001517159,0.000826335,0.4068385,0.0007588697,0.0001764086,0.00007392498,0.004224153,0.0003512639,0.0009082619,0.002142017,0.004052814,0.5794957],"study_design_scores_gemma":[0.00002983755,0.001049395,0.9453083,0.0005074635,0.0002137093,0.0002278215,0.009244075,0.0007775236,0.003430479,0.001574001,0.03759801,0.00003952995],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9178206,0.009773288,0.004037646,0.002673507,0.0001290313,0.0002504987,0.0006936948,0.000125949,0.0644957],"genre_scores_gemma":[0.9911851,0.003823845,0.001257969,0.0002094807,0.00006002978,0.0001504399,0.000197201,0.00001046198,0.003105435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008381773,"threshold_uncertainty_score":0.04432756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1244094347026528,"score_gpt":0.5398908245687003,"score_spread":0.4154813898660475,"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."}}