Research on the Screen Time Question

Screen time is often treated as a relatively homogeneous, duration-based construct, despite substantial differences in how, why, and in what contexts screens are used (Kaye et al., 2020). During this CIDDL Office Hours session, Dr. James Basham and Dr. Matthew Marino challenged that framing and discussed why understanding screen use in education requires a much more nuanced approach.

Drawing on research across educational technology, special education, and digital learning, they emphasized that the effects of screen use depend not simply on how long students are looking at a screen, but on what they are doing, why they are doing it, where the activity occurs, and how the technology is being used.

Screen Time Is More Than Time

Dr. Basham began by describing screen time as a multidimensional variable rather than a single measure of exposure. Several dimensions can shape what screen use means for a learner:

Functional purpose: Is the technology being used for instruction, assistive technology, communication, or recreation?
Level of interaction: Is the student actively creating, responding, communicating, or solving problems, or primarily consuming content passively?
Setting: Is the screen being used at school, at home, in therapy, or in another environment?
Dosage and structure: How often and for how long is the technology used, and what kind of structure surrounds that use?

A central distinction throughout the presentation was between structured and purposeful technology use (e.g., SETT framework) and unstructured and passive screen use. Structured use may include assistive technology, instructional technology, interactive learning activities, or other intentionally designed experiences in which technology supports a particular learning or accessibility goal. In contrast, concerns about screen time often involve extended passive or unstructured consumption (e.g., watching TV, using a tablet without intention), and Dr. Basham argued that grouping fundamentally different forms of screen use under a single measure can obscure important differences in content and context, making it difficult to interpret findings and apply them to educational practice (Zahedi et al., 2021).

This distinction may matter especially for students with disabilities because screen-based technologies can serve functions far beyond entertainment or content consumption (see CIDDL blog). Assistive technology can support access, communication, independence, and participation (Kim et al., 2026), while instructional technologies can provide personalization and immediate feedback. Dr. Basham and Dr. Marino also reflected on their previous research with educational video games, noting that technology implemented through structured instructional protocols can support learning even though it still contributes to a student's total amount of “screen time.”

From Research to Practice

Dr. Marino also emphasized that the existing research base makes broad conclusions about screen time difficult. He discussed a recent meta-analysis of 81 studies and noted that most were conducted in clinical or outpatient settings, while only two reports directly involved teachers reporting screen-time information in school settings (Vanderloo et al., 2025). This raises an important issue for educators because evidence about general screen exposure, recreational media use, or clinical populations may not directly answer questions about intentionally designed educational technology use in classrooms.

The broader message was that educational screen use needs to be examined in context rather than evaluated solely according to duration. They highlighted factors such as the content students encounter, the technology's purpose, the quality of implementation, teacher preparation, and whether students actively engage with the technology. In this framing, asking whether screen time is simply “good” or “bad” may be less useful than asking what students are doing with the technology, what instructional or accessibility purpose it serves, and what outcomes result from that use.

To demonstrate how educators can investigate questions like these, Dr. Basham conducted a live demonstration of Consensus, a research-focused tool that searches and synthesizes peer-reviewed literature. He entered a question about the impact of active screen time on academic learning for students with disabilities and demonstrated how the tool could provide a research summary, indicate evidence strength, and connect users with the underlying studies. At the same time, he emphasized that tools such as Consensus should serve as a starting point rather than a replacement for careful research, particularly when conducting academic work that requires clearly defined search parameters and direct evaluation of individual studies.

The presentation concluded with an announcement of “CIDDL Research Briefs”, a new initiative intended to translate research on emerging topics into concise, accessible resources for educators, researchers, and leaders. The briefs will synthesize available evidence while helping readers navigate the research-to-practice gap without requiring them to work through the entire scholarly literature independently. Screen time will be the first topic in the series, allowing CIDDL to continue examining many of the questions introduced during this Office Hours conversation.

Q&A Highlights

During the Q&A, one participant asked whether researchers should distinguish between different types of screens, such as smartphones, laptops, and televisions, when studying screen time. Dr. Marino noted that the research he reviewed generally did not disaggregate screen exposure by device, while also pointing out the methodological difficulty of accurately determining whether someone is actually attending to a screen simply because it is present. Dr. Basham connected the question back to the session’s larger theme, suggesting that the distinction between active and passive engagement may often be more informative than simply identifying the physical device being used.

Another participant asked whether screen-based instruction increases independent task completion or requires more prompting than hands-on alternatives. The discussion highlighted the possibility of examining more specific indicators, such as whether students are writing, creating, communicating through augmentative and alternative communication (AAC), responding independently, or simply clicking through prompts and consuming content. Dr. Basham and Dr. Marino emphasized that these focused questions show why research on screen use needs to be more context-specific, rather than treating every technology-mediated activity as the same exposure.

Conclusion

The central takeaway from the session was that screen time is not simply a matter of counting minutes. The same amount of time spent with a device can represent passive consumption, active learning, communication, creativity, accessibility, or individualized instruction depending on the learner, activity, setting, and instructional design. For educators and researchers, meaningful evaluation therefore requires attention to purpose, engagement, implementation, context, and outcomes rather than duration alone.

Moving toward this more precise understanding can also help educators interpret headlines and recommendations about screen time more carefully. Evidence about passive recreational use should not automatically be assumed to describe structured instructional or assistive technology use, just as positive findings from a particular educational intervention should not be generalized to all screen-based activities. By asking more specific questions about how technology is being used and what it enables students to do, educators can make more informed decisions about technology integration and student learning.

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