Effect of teacher support on students’ math attitudes: Measurement invariance and moderation of students' background characteristics

Ober, Teresa; Coggins, Meghan; Rebouças-Ju, Daniella; Suzuki, Honoka; Cheng, Ying

doi:10.1016/j.cedpsych.2021.101988

Cited by 6 publications

(2 citation statements)

References 73 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Most of the research done in AA has identified diverse factors that impact students' performance, namely characteristics of the students [13], parents [14], teachers [15], and the schools [16] the primary agents related to the educational process. Other researchers described some influences that contribute to learning and achievement: the student, the home, the school, the classroom, the curricula, the teacher, and teaching and learning approaches [4].…”

Section: -Theoretical Backgroundmentioning

confidence: 99%

Mathematics and Mother Tongue Academic Achievement: A Machine Learning Approach

et al. 2022

View full text Add to dashboard Cite

Academic achievement is of great interest to education researchers and practitioners. Several academic achievement determinants have been described in the literature, mostly identified by analyzing primary (sample) data with classic statistical methods. Despite their superiority, only recently have machine learning methods started to be applied systematically in this context. However, even when this is the case, the ability to draw conclusions is greatly hampered by the "black-box" effect these methods entail. We contribute to the literature by combining the efficiency of machine learning methods, trained with data from virtually every public upper-secondary student of a European country, with the ability to quantify exactly how much each driver impacts academic achievement on Mathematics and mother tongue, through the use of prototypes. Our results indicate that the most important general academic achievement inhibitor is the previous retainment. Legal guardian's education is a critical driver, especially in Mathematics; whereas gender is especially important for mother tongue, as female students perform better. Implications for research and practice are presented. Doi: 10.28991/ESJ-2022-SIED-010 Full Text: PDF

show abstract

Section: -Theoretical Backgroundmentioning

confidence: 99%

Mathematics and Mother Tongue Academic Achievement: A Machine Learning Approach

et al. 2022

View full text Add to dashboard Cite

show abstract

“…AA determinants have been extensively described in the literature, namely determinants pertaining to students [18] but also teachers [19] and parents [20,21] who play a pivotal role in student life, education, and ability to make good career decisions.…”

Section: Literature Review and Hypothesesmentioning

confidence: 99%