{"id":"W3163485689","doi":"10.1111/bjet.13122","title":"Creating technology‐enabled lifelong learning: A heutagogical approach","year":2021,"lang":"en","type":"article","venue":"British Journal of Educational Technology","topic":"Educational Leadership and Innovation","field":"Social Sciences","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University; Université de Sherbrooke; University of Calgary","funders":"","keywords":"Lifelong learning; Experiential learning; Blended learning; Educational technology; Computer science; Synchronous learning; Competence (human resources); Context (archaeology); Learning sciences; Active learning (machine learning); Instructional design; Cooperative learning; Knowledge management; Pedagogy; Teaching method; Psychology; Multimedia; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.01731964,0.0006220458,0.0005862757,0.006040429,0.006359806,0.0135664,0.002299138,0.003331575,0.004874384],"category_scores_gemma":[0.01637277,0.0003862607,0.0008517243,0.002589074,0.02533367,0.01553002,0.01810874,0.005316742,0.0006038898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009806209,"about_ca_system_score_gemma":0.01262406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001511161,"about_ca_topic_score_gemma":0.003884665,"domain_scores_codex":[0.9711155,0.0249043,0.000592361,0.0007097683,0.001801028,0.0008771234],"domain_scores_gemma":[0.9825636,0.01238657,0.0006347253,0.001138241,0.002013173,0.001263804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005529871,0.0001749935,0.001613153,0.003409966,0.00006444944,0.0009367088,0.1716525,0.0006526471,0.001138058,0.6456037,0.006778148,0.1679203],"study_design_scores_gemma":[0.00002558526,0.0001938051,0.001440794,0.008742311,0.00005721645,0.001285626,0.3087008,0.0008382748,0.001674999,0.2220101,0.454959,0.00007140192],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1317692,0.07508776,0.2495545,0.1631525,0.003823444,0.002668703,0.000132747,0.000285426,0.3735257],"genre_scores_gemma":[0.8606527,0.02731274,0.0727313,0.0147174,0.0004036895,0.001383083,0.00005228696,0.00007926941,0.02266758],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01731964,"threshold_uncertainty_score":0.09159607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03444393188524944,"score_gpt":0.3311113132048453,"score_spread":0.2966673813195958,"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."}}