A learning activity can carry a research citation and still leave an instructional designer with the hardest question unanswered: what, exactly, should change?
Perhaps a study concerns remembering an explanation, while the proposed technology supplies an answer before the learner has tried to recall it. Perhaps the original comparison involved one kind of task, while the new programme aims to develop a different capability. The citation may be accurate. The connection to the design still needs work.
The AECT International Convention 2026 offers a timely setting for that conversation. Its theme, “Building Bridges”, invites attention to the work between research, instructional decisions and educational technology. For educators and learning leaders, the useful bridge has a visible structure: a clear claim, a proposed learning activity, an account of the adaptations and a way to examine the result.
This preview is based on official material checked on 28 October 2026. The analysis below is an independent interpretation, not a report of convention sessions.
AECT 2026: what is confirmed
The Association for Educational Communications and Technology announces its 2026 International Convention for 3–7 November at The Palmer House in Chicago, Illinois.
The call for proposals identifies connections between instructional design theory and practice, technology and learning, research and policy, and AECT and its affiliates. It welcomes practical work alongside empirical and theoretical scholarship.
The call describes several presentation categories, including research presentations, roundtables and design showcases. These categories indicate different kinds of professional exchange; they do not establish which individual presentations have been accepted.
The detailed programme linked from the convention website returned a connection error during research for this article. No particular session, speaker contribution or convention research result is therefore described here. Readers selecting sessions should consult the live official programme.
Research-informed design needs an explicit chain of reasoning
AECT’s definition of educational technology places ethical engagement with theory and research alongside the design, implementation and evaluation of learning experiences. That scope gives the field a responsibility extending beyond choosing a delivery platform.
For a design team, one practical interpretation is to make the reasoning inspectable. What capability is the learning activity intended to develop? What does the cited research establish? Which part of the proposed activity connects to that finding? What has changed between the study and the intended setting?
Consider a proposal to add quizzes to a digital course. “Research supports quizzes” leaves too much unspecified. Learners might select an answer from a visible list, reconstruct an explanation without notes or receive detailed prompts until they succeed. Those activities ask them to do different things.
A useful design conversation describes the learner’s intellectual work before discussing the feature. The team can then judge whether a tool enables that work, alters it or bypasses it.
A classic study illustrates why the conditions matter
In their 2006 paper, Henry L. Roediger III and Jeffrey D. Karpicke reported two experiments with Washington University undergraduates learning short prose passages. Participants restudied material or attempted free recall without feedback, followed by retention tests at immediate or delayed intervals.
Repeated study produced an advantage on tests after five minutes. The pattern reversed on delayed tests, where earlier retrieval supported better recall than restudy. The original paper’s methods and results were consulted for this article.
This is evidence about specified learning activities and subsequent retention. It does not establish that any quiz interface improves every educational outcome. Nor does the absence of feedback in those experiments imply that educators should generally withhold feedback.
For a designer, the useful lesson is methodological: retain the details needed to understand the finding before deciding how it bears on a different activity.
A museum training example makes the design problem concrete
Imagine a museum preparing new guides to explain a ceramic vessel to visitors. This is a hypothetical example, not an AECT presentation or a Learning Coach client case.
The learning goal is more demanding than recognising the object’s name. A guide should be able to explain which visible features support an interpretation, distinguish evidence from speculation and acknowledge what remains uncertain.
An initial digital lesson might show the vessel beside a concise explanation. A proposed practice activity then asks the trainee to select the correct interpretation from several options. That may be useful for a particular purpose. It does not yet show whether the trainee can produce an explanation for a visitor.
The team considers another activity: after studying the material, the trainee closes the explanation and records a short account of what the object allows them to infer. Afterwards, they compare their account with a curator’s explanation and identify an omission or unsupported assertion.
This proposal draws inspiration from retrieval research, but it introduces additional elements. The material is an object rather than a prose passage. The response is spoken. The learning goal includes reasoning about evidence. A comparison and correction step has been added.
Naming those changes makes the proposal more credible. It prevents the team from presenting a new training sequence as though the original experiment had already tested it.
Separate a supported principle from a design hypothesis
In the museum example, the research and the local proposal answer different questions.
The study helps the team examine retrieval and later retention under its tested conditions. The museum must still investigate whether its proposed sequence helps trainees construct accurate explanations and use them appropriately with visitors.
A design hypothesis might be: asking trainees to produce an explanation before reviewing the curator’s account will reveal gaps that a recognition question would not expose. That is a proposition to examine locally. It should not be announced as an established outcome.
The distinction allows practitioners to act without pretending certainty. A team can justify a small, purposeful trial while being candid about what remains unknown.
It also gives researchers a clearer conversation partner. Instead of asking whether a study “works in museums”, a designer can describe the activity, the adaptation and the uncertainty. The research discussion becomes specific enough to challenge or improve.
Adaptation should be deliberate
Real learning environments rarely reproduce a published experiment. Learners differ in prior knowledge, language, available time and reasons for participating. Designers also work within practical constraints.
In the hypothetical museum, an inexperienced trainee may not yet have enough background to offer a useful explanation. Another may understand the object but struggle with the language expected in a visitor-facing role. A third may need an accessible way to record a response.
These possibilities call for investigation. They do not justify assuming that every difficulty has the same cause.
The team might provide an initial explanation, permit a written response or narrow the first practice task to one observable feature. Each decision changes what the activity asks learners to do. Documenting the reason for a change helps colleagues understand whether the essential learning opportunity remains.
Technology can assist with recording, replaying and comparing responses. Its convenience matters, but so does its influence on the task. If an automatic suggestion supplies the interpretation before the learner attempts one, the activity now has a different design.
Choose a comparison that can inform a decision
A local trial becomes more useful when its question and comparison are clear.
If the museum wants to understand whether producing an explanation adds value, it should describe what trainees would otherwise do. Would they reread the same account, answer recognition questions or observe another demonstration? The alternative matters because “better than nothing” may not be the decision the institution faces.
The team also needs to specify when and how it will examine learning. An immediate polished response, a later explanation and a conversation about an unfamiliar object provide different information. They should not be merged into one claim of mastery.
A small trial may reveal misunderstandings, usability problems or difficulties in reviewing trainee responses. It may be too limited to support a strong causal conclusion. That limitation does not make the work worthless; it defines the conclusions the team can responsibly draw.
Before claiming wider impact, the institution would need evidence suited to that wider claim. The point is to match the confidence of the conclusion to the strength and relevance of the investigation.
Implementation is part of the educational question
An activity that looks coherent on a design diagram still needs people who can run it.
In the museum example, somebody must select a suitable object, prepare a sound explanation and decide how trainee responses will be reviewed. Someone must also notice when an apparently confident interpretation contains an unsupported claim.
A recording tool cannot settle those responsibilities by itself. The design needs an owner, a workable review process and a route for revising the material when staff identify a problem.
Time also belongs in the discussion. If reviewing every response is impractical, the team may need a different sequence, a narrower task or a carefully structured peer discussion. These are educational decisions as well as operational ones.
For institutional leaders, a useful question to bring to a conference is therefore: what would our colleagues need to do differently for this design to function? The answer often reveals work that a demonstration leaves outside the frame.
Use the convention to examine the bridge
An attendee can approach a research presentation, a design discussion and a technology demonstration with different questions.
For research, ask which learning conditions and outcomes the evidence concerns. For a design example, ask which choices connect to the evidence and which remain provisional. For a tool, ask what the learner actually does while using it.
These questions invite a more productive exchange than asking whether an approach is simply innovative. They make room for researchers to state limits, practitioners to explain constraints and designers to describe decisions that are still being tested.
For organisers planning their own institutional event, the same issue can shape the agenda. A shared talk can introduce a research question; a subsequent discussion can examine a local activity and its assumptions. Learning Coach’s guide to choosing a university keynote on learning and critical thinking offers a related planning perspective.
The account of ideas, audiences and outcomes in a Learning Coach keynote provides further context for matching a discussion to its audience.
If your institution is planning an event about learning, educational technology and human capabilities, explore Learning Coach’s keynote offer.
Research scope and limits
This is a preview of an event scheduled after the research date. Official dates, venue, theme and proposal categories were verified on 28 October 2026. The detailed programme could not be loaded, so this article makes no claims about accepted individual sessions or their findings.
The research example draws on one original experimental paper, not a systematic review of retrieval practice. The museum scenario, suggested design questions and implementation choices are editorial illustrations. Their educational effectiveness has not been demonstrated here. No participation in or endorsement by AECT is implied.
References
- AECT. AECT 2026 International Convention. Accessed 28 October 2026.
- AECT. 2026 convention call for proposals. Accessed 28 October 2026.
- AECT. Official convention website. Accessed 28 October 2026.
- AECT. Definition for educational technology. Accessed 28 October 2026.
- Roediger, H. L., III, & Karpicke, J. D. (2006). Test-enhanced learning: Taking memory tests improves long-term retention. Psychological Science, 17(3), 249–255. DOI: 10.1111/j.1467-9280.2006.01693.x. Original paper hosted by the author’s university laboratory; accessed 28 October 2026.
