Evidence map›Paper›PMID 42383748›Full record

ArticleJournal of microbiology & biology education2026

Environmental load in biology classrooms: attention, technology, and cognitive access in science education.

Christopher Morales

Abstract read
In one paragraph

Article in Journal of microbiology & biology education, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Christopher MoralesFlorida SouthWestern State College, Fort Myers, Florida, USA.ORCID 0009-0008-3113-2694

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biology educators increasingly teach in classrooms shaped by digital devices, projected media, bright artificial lighting, dense visual displays, and frequent movement between lecture, laboratory, and online learning tasks. These conditions are often treated as background features rather than as factors that may affect attention, engagement, and cognitive access. Cognitive load theory has helped educators analyze how instructional design can support or overload working memory; however, science educators have fewer practical frameworks for examining the combined sensory, physical, and technological demands of the learning environment. This Perspective uses the term environmental load to describe task-irrelevant cognitive demand produced by the physical, sensory, spatial, and technological conditions of biology learning environments, including lighting, noise, temperature, visual clutter, screen exposure, device interruptions, room arrangement, and limited opportunities for movement. The article situates this concept within prior work on cognitive load, student engagement, classroom design, lighting, and educational technology. It then argues that environmental load is particularly relevant in biology and laboratory learning because students must coordinate terminology, diagrams, models, procedures, safety expectations, and abstract systems while managing the physical space around them. Practical next steps include classroom environment audits, intentional screen breaks, reduced visual complexity during cognitively demanding tasks, research on sensory conditions in science classrooms, and professional development that treats cognitive access as both an instructional and environmental concern.

Indexed as

attentionbiology educationclassroom designcognitive loadenvironmental loadscience educationstudent engagementtechnology integration

Identifiers

PMID42383748
PMCPMC13520667

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.