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AI Summary of Peer-Reviewed Research

This page presents an AI-generated summary of a published research paper. The original authors did not write or review this article. [See full disclosure ↓]

Publishing process signals: STRONG — reflects the venue and review process. — venue and review process.

Perceived academic performance varied by different predictors

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A young woman with long brown hair wearing earbuds and a dark sleeveless top sits at a white table with a laptop, notepad, and pencil, appearing focused on her work in an outdoor or garden-adjacent study environment.
Research area:MathematicsEducational Technology and AssessmentStatistical Methods and Applications

What the study found

The study found that different predictors could distinguish students’ perceived academic performance in an online learning setting. The authors conclude that perceived grade achievement and perceived learning are two distinct indicators of academic performance in this context.

Why the authors say this matters

The authors say understanding different types of learners in online learning is important because it can inform educators and institutions in developing tailored policies and interventions, increasing engagement, and improving learning results. The study suggests the model may help identify areas where students need additional support, especially during the introduction of online learning during the COVID-19 epidemic.

What the researchers tested

The researchers developed a multinomial logistic regression model to characterize academic self-concept, meaning students’ views of their own academic ability, in relation to perceived academic performance in online learning. They surveyed 501 randomly selected students from six colleges at one university in Manila using Google Forms distributed through the university’s learning management system.

What worked and what didn't

Sex, perceived ease of learning, ability, and interest were common predictors of both perceived learning and perceived grade achievement. Internet speed and perceived utility were unique predictors of perceived grade achievement, while students’ major was a unique predictor of perceived learning. The abstract says the hypothesized variables only partially explained perceived academic performance.

What to keep in mind

The study was conducted with students from one university in Manila, so the available summary describes a limited setting. The abstract does not provide additional limitations beyond noting that the variables only partially explained perceived academic performance.

Key points

  • The study modeled students’ perceived academic performance in an online learning setting using multinomial logistic regression.
  • Perceived learning and perceived grade achievement were treated as separate indicators of academic performance.
  • Sex, perceived ease of learning, ability, and interest were common predictors of both outcomes.
  • Internet speed and perceived utility uniquely predicted perceived grade achievement.
  • Students’ major uniquely predicted perceived learning.
  • The hypothesized variables partially explained perceived academic performance.

Disclosure

Research title:
Perceived academic performance varied by different predictors
Authors:
Rex P. Bringula
Institutions:
Linköping University, University of the East
Publication date:
2026-03-07
DOI:
10.1007/s44217-026-01301-7
OpenAlex record:
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AI provenance: This post was generated by gpt-5.4-mini (OpenAI). The original authors did not write or review this post.