Claims: Z

A 1 · A 2 · A 3 · A 4 · A 5 · A 6 · A 7 · A 8 · B 1 · B 2 · C 1 · C 2 · C 3 · C 4 · C 5 · C 6 · D 1 · D 2 · D 3 · E 1 · E 2 · E 3 · E 4 · F 1 · F 2 · F 3 · G 1 · G 2 · H 1 · H 2 · I 1 · I 2 · I 3 · I 4 · I 5 · J · K · L 1 · L 2 · L 3 · M 1 · M 2 · M 3 · M 4 · N 1 · N 2 · O 1 · O 2 · P 1 · P 2 · P 3 · P 4 · P 5 · Q · R 1 · R 2 · R 3 · S 1 · S 2 · S 3 · S 4 · S 5 · S 6 · S 7 · S 8 · T 1 · T 2 · T 3 · T 4 · T 5 · T 6 · T 7 · T 8 · T 9 · T 10 · U · V · W 1 · W 2 · X · Y · Z · 0-9

• Zearn Math schools significantly outperformed control schools on NWEA MAP in a large Texas RCT (effect size +0.11 overall) - Zearn Math schools significantly outperformed control schools on NWEA MAP in a large Texas RCT (effect size +0.11 overall)
• Zero-shot classification of concern topics showed no consistent evidence of association with wearable outcomes, while affective dimensions showed more associations that did not survive correction - Zero-shot classification of concern topics showed no consistent evidence of association with wearable outcomes, while affective dimensions showed more associations that did not survive correction
• Zero-shot GenAI feedback quality is statistically comparable to teacher feedback quality - Zero-shot GenAI feedback quality is statistically comparable to teacher feedback quality
• Zero-shot LLM errors follow four recurring patterns: over-interpretation, failure to detect relevant information, hallucination, and failure to generate a response - Zero-shot LLM errors follow four recurring patterns: over-interpretation, failure to detect relevant information, hallucination, and failure to generate a response
• Zero-shot LLMs perform only marginally above random in five-class competency classification but exceed 70% accuracy on binary classification - Zero-shot LLMs perform only marginally above random in five-class competency classification but exceed 70% accuracy on binary classification
• Zero-shot prompting collapses proficiency variation toward an idealized high-scoring student population, while SFT and GRPO match the human score and length distributions - Zero-shot prompting collapses proficiency variation toward an idealized high-scoring student population, while SFT and GRPO match the human score and length distributions
• Zimmerman's (2000) model was the most frequently cited SRL model (74%) and Pintrich's (2000) model followed (67.4%), with model choice not affecting the areas promoted - Zimmerman's (2000) model was the most frequently cited SRL model (74%) and Pintrich's (2000) model followed (67.4%), with model choice not affecting the areas promoted
• Zoo U subscales are intercorrelated in patterns the authors attribute to real-world overlap among social skills competencies - Zoo U subscales are intercorrelated in patterns the authors attribute to real-world overlap among social skills competencies
• Zusho concludes SRL, SAL, and engagement perspectives all entail learner adaptation, and that models of student learning mismatch how they are measured - Zusho concludes SRL, SAL, and engagement perspectives all entail learner adaptation, and that models of student learning mismatch how they are measured