A Priori Model of Students’ Academic Achievement: The Effect of Gender as Moderator

Fin, Low Suet; Ishak, Zahari

doi:10.1016/j.sbspro.2013.02.122

Cited by 9 publications

(6 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In line with the previous opinion, the learning difficulties experienced by students indicate a gap or distance between the expected academic achievement and the actual academic achievement achieved by students (Shakir & Sharma, 2018;Nezhad & Vahedi, 2011). Deep learning difficulties in teaching mathematics to involve an appreciation of the structure of mathematics, the availability of learning resources, the quality of the lecturers, the curriculum, the learning itself, and the value given to the subject by society (Fin & Ishak, 2012). Students who experience learning difficulties do not perform well academically for a variety of reasons, including factors such as sensory impairments (weakness in vision or hearing); severe behavioural, psychological, or emotional problems (Poole, 2011).…”

Section: Introductionsupporting

confidence: 54%

Analysis of Factors Affecting Students’ Mathematics Learning Difficulties Using SEM as Information for Teaching Improvement

Elastika¹,

Dewanto²

2021

INT J INSTRUCTION

View full text Add to dashboard Cite

Students' learning math difficulties are influenced by various factors, both internal factors (themselves) and external factors (from outside the students themselves). One of the external factors that can affect student achievement is the campus facilities and infrastructure where they study. This paper aims to estimate structural equation models, which can represent the relationship between latent variables, and the relationship between latent and indicator variables. Besides, it is also to determine which construct has the most influence on the achievement of four indicators, which include: Campus Environment (KPS), Family Environment (LK), Community Environment (LM), and Seating (TD) towards Self (DS). The research data was obtained through a survey using a questionnaire to Universitas Padjadjaran students in the Mathematics Study Program. Data were measured using a Likert scale and using a simple random sampling technique. Data analysis was performed using Structural Equation Modelling (SEM). The results of the data analysis show that the parameter estimators of the four indicators are 0.29, 0.34, 0.14, and 0.12 respectively, with the R-squared coefficient of determination of 0.90. So that SEM is an analysis that can provide information that is used to support the learning process policymaking.

show abstract

Section: Introductionsupporting

confidence: 54%

Analysis of Factors Affecting Students’ Mathematics Learning Difficulties Using SEM as Information for Teaching Improvement

Elastika¹,

Dewanto²

2021

INT J INSTRUCTION

View full text Add to dashboard Cite

show abstract

“…Gender is considered to affect the differences in student learning outcomes. Gender is a term used to distinguish male and female [21]. The results of the [22] study show that male are better than female in making scientific observations.…”

Section: Introductionmentioning

confidence: 99%

The Science Process Skills of Prospective Biology Teachers in Plant Cell Material Based on Gender

Asy’ari

Fitriani

Zubaidah

et al. 2019

Int. J. Emerg. Technol. Learn.

View full text Add to dashboard Cite

This study aims to describe prospective biology teachers' science process skills in plant cell material. Components of basic process skills such as (1) observing, (2) connecting, and (3) inference, and integrated process skills such as (4) analysis, (5) hypothesis, and (6) defining variables operationally, become the science process skills components examined in this study. This research is a descriptive-quantitative study with survey method to identify science process skills of 100 prospective biology teacher (50 male and 50 female). Fifteen item tests on plant cell material were used to collect data on science process skills of the prospective teacher who was first empirically validated before use. The results showed that the science process skills of biology teacher in IKIP Mataram were significantly different on the components of (1) observed (p < 0.05), (2) inference (p < 0.05), and (3) analysis (p < 0.05), wheres the science process skills of prospective biology teacher are generally in the moderate category (60.38).

show abstract

“…In line with the previous opinion, the learning difficulties experienced by students indicate that there is a gap or distance between the expected academic achievement, and the actual academic achievement achieved by students (Shakir & Sharma, 2018;Nezhad & Vahedi, 2011). In-depth learning barriers to teaching English involve an appreciation of the structure of the English language, the availability of learning resources, the quality of lecturers, the curriculum, the learning itself, and the value given to the subject by society (Fin & Ishak, 2012;Elastika et al, 2021). Students with learning disabilities underperform academically for a variety of reasons, including factors such as sensory impairment (weakness in vision or hearing); severe behavioral, psychological or emotional problems (Poole, 2011).…”

Section: Introductionmentioning

confidence: 93%

Analysis of Factors Affecting Barriers to Learning English for Students Using SEM-PLS

Mahdi,

Ratnasari,

Purwani

et al. 2024

INT J INSTRUCTION

View full text Add to dashboard Cite

This paper intends to estimate a structural equation model that can represent the relationship between latent variables, and the relationship between latent variables and indicator variables. The latent variables studied in this research are Campus Environment (KPS), Family Environment (LK), Community Environment (LM), and Seating (TD) on oneself (DS). The method used to analyze the data is Structural Equation Modeling (SEM) based on Partial Least Square (PLS). The research data was obtained through a survey using a questionnaire of Padjadjaran University students with simple random sampling technique. The research result shows that (1) Campus Environment has a significant positive influence on Oneself by 23.5%. ( 2) Family Environment has a significant positive influence on Oneself by 30.6%. (3) Community Environment has a significant positive influence on Oneself by 22.8%. (4) Seating has a significant positive influence on Oneself by 20.8%. The SEM model formed has a coefficient of determination (Rsquared) of 0.90. So, SEM-PLS is an analysis that can provide information that can be used as a support for making learning process policies.

show abstract

A Priori Model of Students’ Academic Achievement: The Effect of Gender as Moderator

Cited by 9 publications

References 19 publications

Analysis of Factors Affecting Students’ Mathematics Learning Difficulties Using SEM as Information for Teaching Improvement

Analysis of Factors Affecting Students’ Mathematics Learning Difficulties Using SEM as Information for Teaching Improvement

The Science Process Skills of Prospective Biology Teachers in Plant Cell Material Based on Gender

Analysis of Factors Affecting Barriers to Learning English for Students Using SEM-PLS

Contact Info

Product

Resources

About