Entry-Level Assessment to Assess Readiness and Predict Study Success of Prospective College Students

This study aimed to evaluate the effectiveness of the Entry-Level Assessment (ELA) in measuring academic readiness and predicting the success of new students during their first year of study. The research utilized a mixed-methods approach, integrating qualitative analysis to describe the characteristics of test items with quantitative analysis to explore the relationship between ELA scores and academic achievement, as reflected in first and second-semester grade point averages (GPA). Data were gathered from ELA documents, ELA scores, and the GPAs of 132 students. The findings demonstrated that the ELA encompasses tests assessing academic potential, literacy, numeracy, and English, with a particular focus on higher-order thinking skills. Correlation analysis revealed a positive relationship between ELA scores and GPA in the first semester; however, this correlation weakened in subsequent semesters. These findings affirm that the ELA possesses strong predictive validity for short-term academic success but has limitations in forecasting long-term performance. This study makes a significant contribution to the advancement of college entrance tests by recommending enhancements in item design, improving the relevance of cognitive indicators, and broadening the assessment framework to include social and emotional skills. The implications of these findings are vital for higher education institutions in developing their selection policies and supporting students' academic journeys.

Authors

Institutions

Publication Details

Journal
GHANCARAN Jurnal Pendidikan Bahasa dan Sastra Indonesia
Published
2025-09-18
DOI
https://doi.org/10.19105/ghancaran.vi.21753
Primary Topic
Higher Education Learning Practices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Entry-Level Assessment to Assess Readiness and Predict Study Success of Prospective College Students

Imam Suyitno, Imam Basuki, Maulidina Ahsani
GHANCARAN Jurnal Pendidikan Bahasa dan Sastra Indonesia
Higher Education Learning Practices
article

Entry-Level Assessment to Assess Readiness and Predict Study Success of Prospective College Students

Imam Suyitno, Imam Basuki, Maulidina Ahsani
article en

Abstract

This study aimed to evaluate the effectiveness of the Entry-Level Assessment (ELA) in measuring academic readiness and predicting the success of new students during their first year of study. The research utilized a mixed-methods approach, integrating qualitative analysis to describe the characteristics of test items with quantitative analysis to explore the relationship between ELA scores and academic achievement, as reflected in first and second-semester grade point averages (GPA). Data were gathered from ELA documents, ELA scores, and the GPAs of 132 students. The findings demonstrated that the ELA encompasses tests assessing academic potential, literacy, numeracy, and English, with a particular focus on higher-order thinking skills. Correlation analysis revealed a positive relationship between ELA scores and GPA in the first semester; however, this correlation weakened in subsequent semesters. These findings affirm that the ELA possesses strong predictive validity for short-term academic success but has limitations in forecasting long-term performance. This study makes a significant contribution to the advancement of college entrance tests by recommending enhancements in item design, improving the relevance of cognitive indicators, and broadening the assessment framework to include social and emotional skills. The implications of these findings are vital for higher education institutions in developing their selection policies and supporting students' academic journeys.

GHANCARAN Jurnal Pendidikan Bahasa dan Sastra Indonesia
State University of Malang (ID)
Openalex Percentile: Top 72%
Higher Education Learning Practices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.