Analysis of the mathematics teachers' licensure examination results through machine learning policy implications on teacher education

Analysis of the mathematics teachers' licensure examination results through machine learning policy implications on teacher education

The Philippines consistently demonstrates poor performance in mathematics, as shown by recent international assessments such as TIMSS 2019, PISA 2018, and 2022, and the National Achievement Tests (NAT). Concerns arise over teacher education quality and declining Licensure Examination for Teachers (L...

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Bibliografische gegevens
Hoofdauteur: Patungan, Arturo J. Jr (Auteur)
Andere auteurs: Joaquin, Ma. Nympha B. (dissertation adviser.), Monterola, Sheryl Lyn C. (dissertation reader.), Muega, Maricris B. Acido (degree committee member.), Arceo, Carlene P. (degree committee member.), Sasing, Monalisa T. (degree committee member.)
Formaat: Boek
Taal:English
Onderwerpen:
Mathematics teachers > Rating of > Philippines.
Mathematics teachers > Training of > Philippines.
Teacher effectiveness > Philippines.
Teachers > Philippines > Examinations, questions, etc.
Education > Philippines > Examinations, questions, etc.