{"id":"W4406842754","doi":"10.3390/educsci15020156","title":"Engineered Prompts in ChatGPT for Educational Assessment in Software Engineering and Computer Science","year":2025,"lang":"en","type":"article","venue":"Education Sciences","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; Lakehead University; Western University","funders":"","keywords":"Computer science; Computer software; Software engineering; Software; Educational software; Computer-Assisted Instruction; Science education; Mathematics education; Social software engineering; Engineering education; Software development; Engineering management; Multimedia; Software construction; Engineering; Programming language; 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":[0.005949194,0.001492571,0.0009468836,0.001446071,0.0006369247,0.001553238,0.002140575,0.001534192,0.009847666],"category_scores_gemma":[0.03055606,0.0006635598,0.0004402481,0.0005377741,0.0006217613,0.002704805,0.002970396,0.001478556,0.004343217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006425998,"about_ca_system_score_gemma":0.001266788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009080604,"about_ca_topic_score_gemma":0.001131596,"domain_scores_codex":[0.9956125,0.001917766,0.0003730533,0.0008632555,0.001020713,0.0002127109],"domain_scores_gemma":[0.9737057,0.01682222,0.001220186,0.003306334,0.003323916,0.001621644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004330424,0.002265183,0.01519601,0.001604932,0.0001342893,0.001872675,0.006138011,0.009672493,0.09003664,0.006128103,0.03023251,0.8323887],"study_design_scores_gemma":[0.002243445,0.007702981,0.04332094,0.001289206,0.0004542894,0.005109874,0.002282302,0.5488964,0.1811531,0.02971076,0.1768607,0.0009760273],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06999642,0.0001569687,0.8112397,0.0003625359,0.0003511177,0.003026724,0.0008252655,0.1092398,0.004801476],"genre_scores_gemma":[0.3347863,0.0001362375,0.6452464,0.0005328209,0.0001584285,0.002701981,0.001639629,0.003007578,0.01179065],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009847666,"threshold_uncertainty_score":0.03294373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01157442256148195,"score_gpt":0.3452300099482893,"score_spread":0.3336555873868073,"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."}}