{"id":"W1948981881","doi":"10.1111/bjet.12297","title":"Digging deeper into learners' experiences in <scp>MOOC</scp> s: Participation in social networks outside of <scp>MOOC</scp> s, notetaking and contexts surrounding content consumption","year":2015,"lang":"en","type":"article","venue":"British Journal of Educational Technology","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":178,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Roads University","funders":"Canada Research Chairs","keywords":"Clickstream; Massive open online course; Psychology; Consumption (sociology); Social media; Mathematics education; Computer science; World Wide Web; Sociology; Web 2.0; The Internet","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001770354,0.0002881811,0.0003935153,0.0009697234,0.001803625,0.003532595,0.0004275684,0.0008850195,0.002731853],"category_scores_gemma":[0.004606608,0.0001850399,0.0002467675,0.0004091482,0.001961864,0.002661005,0.002307258,0.001156704,0.0003743999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006902352,"about_ca_system_score_gemma":0.0004276718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003253028,"about_ca_topic_score_gemma":0.006068044,"domain_scores_codex":[0.9990023,0.0005038283,0.00003835127,0.0001079705,0.0001630766,0.0001845986],"domain_scores_gemma":[0.9959618,0.002492087,0.0004617024,0.0001574455,0.0002681294,0.0006588786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000104502,0.0001801529,0.05861968,0.00008836602,0.00001747332,0.0005867329,0.9070899,0.0001109522,0.008410221,0.0006179963,0.0004850106,0.023689],"study_design_scores_gemma":[0.000007188133,0.000331224,0.1250789,0.0001260155,0.00002419521,0.0005117198,0.8615621,0.0006046219,0.00269505,0.0007826187,0.008215728,0.00006062377],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983786,0.00004176643,0.0003080767,0.0001203927,0.000003353118,0.000007935759,0.00001772452,0.000008653171,0.001113543],"genre_scores_gemma":[0.998741,0.00005926927,0.0001870563,0.00005648221,0.000004491615,0.000008646732,0.00002054589,0.000007860223,0.000914573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003532595,"threshold_uncertainty_score":0.009362578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0428212972748889,"score_gpt":0.3288289397557909,"score_spread":0.2860076424809019,"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."}}