{"id":"W4408804618","doi":"10.1007/978-981-96-3522-1_6","title":"What Makes an Educational Robot Game Fun? Framework Analysis of Children’s Design Ideas","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Robot; Educational game; Human–computer interaction; Game design; Multimedia; Artificial intelligence; Mathematics education; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001610541,0.0003918638,0.000201307,0.001416196,0.0007970326,0.003864795,0.000719903,0.0006332687,0.004481389],"category_scores_gemma":[0.004357601,0.0003512844,0.0006668043,0.0008230241,0.002815551,0.002776176,0.0008914036,0.001199093,0.0003373527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002948871,"about_ca_system_score_gemma":0.001739863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009250367,"about_ca_topic_score_gemma":0.008835809,"domain_scores_codex":[0.9988948,0.0005715095,0.00003266607,0.0001450131,0.0002262722,0.0001298844],"domain_scores_gemma":[0.9962877,0.002811573,0.0002283408,0.000157137,0.0003215234,0.0001936952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001311814,0.0001357677,0.0221818,0.0002640829,0.00004939355,0.0004460721,0.05798675,0.005020441,0.00693903,0.8334023,0.001974741,0.07146842],"study_design_scores_gemma":[0.0001205075,0.000535515,0.0788691,0.0008535917,0.0002532764,0.001724739,0.1263701,0.1765346,0.01932882,0.4398,0.1554346,0.0001752172],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4963912,0.001038513,0.3308455,0.001892028,0.00002763982,0.000340133,0.0004436139,0.0004696294,0.1685517],"genre_scores_gemma":[0.919112,0.0001910414,0.07454266,0.00004033463,0.00000293468,0.0001132449,0.0001570605,0.00007252822,0.005768241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009250367,"threshold_uncertainty_score":0.02139562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01912365330546168,"score_gpt":0.2869678148286064,"score_spread":0.2678441615231447,"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."}}