What happened
Recent reading research is sharpening the advice educators give about digital texts. The news is not that students must abandon screens. It is that screen reading needs better habits than passive scrolling, quick highlighting, and copying summaries into the margin.
A 2026 network meta-analysis in Education and Information Technologies compared comprehension across paper, computers, tablets, e-readers, and smartphones. Its most useful finding for everyday learners was specific: when students had to scroll to read the full text, paper had a clearer comprehension advantage over computers and tablets. When scrolling was not required, differences between paper and devices were not statistically significant in the same way. The authors argue that scrolling can add extra cognitive load because readers must keep relocating themselves in the text while trying to connect ideas. Springer Nature
Another 2026 study in Educational Technology Research and Development looked at university students and media multitasking. The researchers reported lower reading comprehension accuracy in the digital condition than the paper condition, and they found that students’ tendency to multitask with media appeared to play a substantial role in that medium effect. In other words, the problem is not only the screen itself. The screen is also a doorway to other tasks. Springer Nature
At the same time, recent annotation research suggests that digital tools can support comprehension when they make students engage with the text actively. A 2026 qualitative study of 24 undergraduate English-language learners followed students using Hypothesis, Kami, and Adobe Acrobat Reader across a semester. Students reported that digital annotation helped them identify main ideas, make inferences, and evaluate sources, while the researchers also noted barriers including screen fatigue, uneven digital literacy, and access issues. J-Shelves of Indragiri
AI is now part of the same reading environment. A 2026 eight-week study of college students using AI to support course reading found that many prompts asked for comprehension help, while fewer asked for metacognitive checking. The authors described a pattern in which some students read through AI rather than with AI, using summaries to decide which parts of the original text deserved attention. That can save time, but it can also short-circuit the slow work of building a mental model of the argument. arXiv
The stakes are high because reading performance remains a public concern. The Associated Press reported this year on Education Scorecard findings showing that U.S. students remain nearly half a grade level behind pre-pandemic reading scores, with only a small number of states showing meaningful reading growth from 2022 to 2025. That broad recovery problem is not caused by annotation habits alone, but it makes the practical question urgent: when students read on screens, are their tools making comprehension deeper or merely faster? AP News
Why it matters
The practical lesson is that annotation is not automatically active reading. A yellow highlight can mean, “This matters.” It can also mean, “I recognized an important sentence for two seconds and moved on.” On a scrolling screen, that weak form of annotation is especially fragile because the learner may lose the spatial memory of where ideas appeared and may not return to them in a useful order.
Good annotation should slow reading at the moments when the text becomes dense, surprising, confusing, or important. That slowing is not wasted time. It gives the reader a chance to ask what the sentence is doing, how it connects to the previous claim, and what evidence would be needed to trust it.
The newer research also pushes against a common digital-reading habit: collecting marks instead of generating questions. A student may finish an article with twenty highlighted passages and still have no plan for recall. The stronger habit is to convert each useful mark into a retrieval prompt, because retrieval is where the learner finds out whether the idea can be reconstructed without looking.
This is where digital tools can be genuinely helpful. A margin note, tag, or comment is valuable when it preserves a question the learner can answer later. A copied sentence is less valuable than a prompt such as, “Why did the author say scrolling changes comprehension?” or “What evidence supports this claim?” The first stores text. The second creates a future test of understanding.
Practical learning conclusion
- Reduce scrolling when the text is important. Use page view, print layout, reader mode, an e-reader format, or a printed copy for dense academic reading when possible.
- Annotate fewer lines, but make each mark do more work. Highlight only claims, evidence, definitions, confusing passages, and turning points in the argument.
- Attach a question to every important annotation. Turn “important paragraph” into “What is the author’s main claim here?” or “How does this evidence change the conclusion?”
- Use comments for thinking, not copying. Write short margin notes that explain, challenge, connect, or predict instead of pasting long quotations.
- Pause after each section. Look away from the text and answer two or three of your own annotation questions from memory.
- Keep AI after the first pass. Ask AI to quiz you on your annotations, check your explanation, or generate counterquestions only after you have read and questioned the original text yourself.
The strongest annotation habit is simple: slow down when the text gets important, question the author instead of decorating the page, and turn each note into a retrieval prompt. Screens can support that routine, but only when the learner treats annotation as a thinking system rather than a highlighting system.