{"id":"W2133421346","doi":"10.1007/s12528-009-9021-8","title":"Technology’s effect on achievement in higher education: a Stage I meta-analysis of classroom applications","year":2009,"lang":"en","type":"article","venue":"Journal of Computing in Higher Education","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":119,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Presentational and representational acting; Meta-analysis; Psychology; Higher education; Mathematics education; Sample size determination; Cognition; Empirical research; Educational technology; Academic achievement; Computer science; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.02372128,0.002861769,0.009128255,0.003442794,0.001419155,0.00365033,0.002329883,0.003105154,0.003243675],"category_scores_gemma":[0.05248946,0.002001683,0.04707184,0.004387883,0.001674804,0.001819045,0.002617896,0.002845619,0.0003731615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001475984,"about_ca_system_score_gemma":0.002176459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008709133,"about_ca_topic_score_gemma":0.0125259,"domain_scores_codex":[0.9648612,0.02266418,0.004913164,0.004199275,0.002571974,0.0007901744],"domain_scores_gemma":[0.9307365,0.05256511,0.006916846,0.004839451,0.003478933,0.001463163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.01354191,0.0001276049,0.02121514,0.009457943,0.9502707,0.0001064499,0.0004059515,0.0001908184,0.0007573721,0.00006552201,0.000176071,0.00368449],"study_design_scores_gemma":[0.002473235,0.002025701,0.02038867,0.0006966904,0.9729748,0.00007474013,0.0001523199,0.0001737433,0.0003989017,0.000111147,0.0005016635,0.0000284659],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.592626,0.3926359,0.008385843,0.0007050121,0.001276184,0.0008722279,0.001865841,0.0002504909,0.001382618],"genre_scores_gemma":[0.9785308,0.01589282,0.003131655,0.0003316906,0.0001658756,0.0004960026,0.0004803675,0.0001042418,0.0008664197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9908717,"threshold_uncertainty_score":0.1254516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05403410038074671,"score_gpt":0.3935231646006804,"score_spread":0.3394890642199337,"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."}}