{"id":"W3149880464","doi":"10.9781/ijimai.2021.03.002","title":"A Smart Collaborative Educational Game with Learning Analytics to Support English Vocabulary Teaching.","year":2021,"lang":"en","type":"article","venue":"International Journal of Interactive Multimedia and Artificial Intelligence","topic":"Educational Games and Gamification","field":"Psychology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Vocabulary; Computer science; Learning analytics; Educational game; Game based learning; Analytics; Language acquisition; Control (management); Process (computing); Mathematics education; Test (biology); Multimedia; Artificial intelligence; Data science; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004180236,0.0001861627,0.0002487208,0.0003287634,0.00007946333,0.0001904661,0.000293881,0.00006944707,0.001555989],"category_scores_gemma":[0.00175836,0.000165081,0.00008826271,0.0002521017,0.0001246402,0.000352626,0.00006166042,0.0006129282,0.00011789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001460602,"about_ca_system_score_gemma":0.000455636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003200117,"about_ca_topic_score_gemma":0.00006184219,"domain_scores_codex":[0.9980778,0.0002195474,0.0006739061,0.000323378,0.0005075548,0.0001978732],"domain_scores_gemma":[0.9942881,0.0008617025,0.0004976015,0.0001276451,0.004008419,0.0002164967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.003892078,0.0038846,0.04268013,0.00001901603,0.002671354,0.0006230609,0.2567983,0.003166679,0.01031884,0.07487521,0.006479342,0.5945914],"study_design_scores_gemma":[0.0016523,0.006218156,0.1354702,0.001386844,0.000574702,0.003337962,0.4189291,0.00781024,0.06381969,0.01543008,0.3431212,0.002249465],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8774943,0.0004592574,0.07285067,0.02365215,0.01077874,0.0003833987,0.00008792994,0.00003483427,0.01425874],"genre_scores_gemma":[0.9875239,0.00003186562,0.008204213,0.0006363142,0.001423519,0.00001964123,0.00005676506,0.00002029163,0.00208356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.592342,"threshold_uncertainty_score":0.9993567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03026521504000148,"score_gpt":0.3737151270488025,"score_spread":0.343449912008801,"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."}}