Da: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo L2-9786208472863
Quantità: Più di 20 disponibili
Da: California Books, Miami, FL, U.S.A.
Condizione: New. Codice articolo I-9786208472863
Quantità: Più di 20 disponibili
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo L2-9786208472863
Quantità: Più di 20 disponibili
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 60 pp. Englisch. Codice articolo 9786208472863
Quantità: 2 disponibili
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. Codice articolo 26405273520
Quantità: 4 disponibili
Da: Majestic Books, Hounslow, Regno Unito
Condizione: New. Print on Demand. Codice articolo 407913583
Quantità: 4 disponibili
Da: Biblios, Frankfurt am main, HESSE, Germania
Condizione: New. PRINT ON DEMAND. Codice articolo 18405273530
Quantità: 4 disponibili
Da: CitiRetail, Stevenage, Regno Unito
Paperback. Condizione: new. Paperback. Social and Emotional Learning (SEL) is vital for students' academic success and overall well-being, yet assessing these competencies remains a challenge due to their subjective and non-cognitive nature. Traditional methods such as surveys and teacher observations often lack accuracy and consistency. To address this, a machine learning-based assessment framework is proposed, integrating diverse data sources such as student behavior, participation, and performance. By identifying patterns and classifying levels of SEL skills, machine learning models reduce human bias and enhance reliability. This data-driven approach not only ensures objective measurement but also provides predictive insights into students' SEL development. Educators can utilize these insights to design targeted interventions and personalized support, ultimately making the assessment of SEL competencies more accurate, scalable, and impactful. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9786208472863
Quantità: 1 disponibili
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Englisch. Codice articolo 9786208472863
Quantità: 1 disponibili
Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Social and Emotional Learning (SEL) is vital for students' academic success and overall well-being, yet assessing these competencies remains a challenge due to their subjective and non-cognitive nature. Traditional methods such as surveys and teacher observations often lack accuracy and consistency. To address this, a machine learning-based assessment framework is proposed, integrating diverse data sources such as student behavior, participation, and performance. By identifying patterns and classifying levels of SEL skills, machine learning models reduce human bias and enhance reliability. This data-driven approach not only ensures objective measurement but also provides predictive insights into students' SEL development. Educators can utilize these insights to design targeted interventions and personalized support, ultimately making the assessment of SEL competencies more accurate, scalable, and impactful. Codice articolo 9786208472863
Quantità: 2 disponibili