Eliciting desirable difficulty through font manipulation: effects on metacognitive judgments, cognitive load and learning outcomes

Abstract Recent multidisciplinary research has investigated whether incorporating desirable difficulty into instructional materials can enhance learning outcomes through minimally demanding interventions. One notable assertion in this literature is that font manipulation, particularly disfluent fonts, may induce desirable difficulty and support learning. In a computer-assisted learning environment, the current study investigated this claim using a between-subjects experimental design. The primary dependent variables were achievement, retention, cognitive load, and judgments of learning, with prior knowledge and working memory capacity serving as covariates. A total of 165 participants were randomly assigned to one of three treatment groups, with instructional materials manipulated with Arial, Helvetica, or Sans Forgetica fonts. The results revealed no significant differences across treatment groups on any outcome measure after controlling for individual differences. Accordingly, all three hypotheses were rejected. These findings indicate that font-based manipulations are insufficient to reliably generate desirable difficulty effects in computer-assisted instructional materials. Overall, the findings reveal that font-based manipulations are insufficient to reliably generate desirable difficulty effects in computer-assisted instructional materials and underscore the need for more cognitively substantive approaches to instructional design in digital learning environments.

Authors

Institutions

Publication Details

Journal
Education and Information Technologies
Published
2026-02-26
DOI
https://doi.org/10.1007/s10639-026-13915-3
Primary Topic
Visual and Cognitive Learning Processes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Eliciting desirable difficulty through font manipulation: effects on metacognitive judgments, cognitive load and learning outcomes

Ulaş İLİÇ, Ufuk Tuğtekin, Esra Barut Tuğtekin
Education and Information Technologies
Visual and Cognitive Learning Processes
article

Eliciting desirable difficulty through font manipulation: effects on metacognitive judgments, cognitive load and learning outcomes

Ulaş İLİÇ, Ufuk Tuğtekin, Esra Barut Tuğtekin
article en

Abstract

Abstract Recent multidisciplinary research has investigated whether incorporating desirable difficulty into instructional materials can enhance learning outcomes through minimally demanding interventions. One notable assertion in this literature is that font manipulation, particularly disfluent fonts, may induce desirable difficulty and support learning. In a computer-assisted learning environment, the current study investigated this claim using a between-subjects experimental design. The primary dependent variables were achievement, retention, cognitive load, and judgments of learning, with prior knowledge and working memory capacity serving as covariates. A total of 165 participants were randomly assigned to one of three treatment groups, with instructional materials manipulated with Arial, Helvetica, or Sans Forgetica fonts. The results revealed no significant differences across treatment groups on any outcome measure after controlling for individual differences. Accordingly, all three hypotheses were rejected. These findings indicate that font-based manipulations are insufficient to reliably generate desirable difficulty effects in computer-assisted instructional materials. Overall, the findings reveal that font-based manipulations are insufficient to reliably generate desirable difficulty effects in computer-assisted instructional materials and underscore the need for more cognitively substantive approaches to instructional design in digital learning environments.

Education and Information Technologies
Anadolu University (TR), Inonu University (TR), Pamukkale University (TR)
Quality Education
Openalex Percentile: Top 45%
Visual and Cognitive Learning Processes
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.