Much of current risk and crisis instructional communication happens in online contexts. My techno-instructional philosophy is structured explicitly around the IDEA Model (Internalization, Distribution, Explanation, Action) paired with research on instructor presence, modality, and online engagement. These environments are not neutral, but are capable of shaping message interpretation and behavior.
Reliance on these privately owned companies by public institutions using them to distribute instructional crisis messages creates challenges for risk and crisis instructional communications. Platform affordances, notification systems, and interface constraints along with algorithm influence all determine how crisis messages are encountered and understood. It is imperative that we, as techno-instructional risk and crisis communicators are aware of the impact to message salience when sent through these platforms.
The goal of this philosophy is to both demonstrate and explain how instructional communication flows through technology during a crisis. When it is necessary to communicate across distributed and asynchronous one-way channels, structure, sequencing, and relationality must be designed intentionally into the systems if we are to inspire meaningful action in a crisis.
Using technology for effective instruction is more than simple functionality. Automation is effective but cannot replace an entire instructional process. Environments must have a coherent structure which shapes attention to and interpretation of content. The platforms themselves shape attention and mediate the instruction provided (Walther et al., 2005; Wood & Fassett, 2003). When instruction travels through these systems it is shaped and filtered by their programmed logic and design.
Technology should reduce cognitive load, enable clear and organized communication, and drive learners towards action. The IDEA Model provides a useful framework for navigating these.
Effective use of technology will:
I - Establish personal relevance (Internalization)
D - Provide channels of communication (Distribution)
E - Give clarity (Explanation)
A - Guide behavior (Action)
For instructional crisis communications, technology is necessary for general operations.
Communication in techno-instructional environments during technologically mediated contexts is a form of signal design. Communication should be visible and structured around the explanation component of the IDEA model, sharing information and establishing next steps.
Within the IDEA framework when communicating through algorithmically mediated environments, distribution visibility is not guaranteed depending on the channel selected (Sellnow et al., 2017; Zuboff, 2019). Research suggests that frequency of communication is less important than the quality of the interaction (Swan, 2002). In crisis contexts uncertainty increases when individuals experience stressful situations. which can lead to misinterpretation of messages.
Communication must be intentional, presented in a logical sequence, and aligned with behavioral expectations. Institutional explanations should clarify relevance to the individuals affected and reduce the burden of interpretation. Action steps must be both explicit and feasible. Communication in techno-instructional environments where recipients are experiencing a crisis must transmit meaning, not just information.
Structure of the course is a core component of establishing clarity and purpose. Online learning Structure and clarity are more important than charisma!
Ambiguity in asynchronous environments can build quickly. Structured sequencing can reduce cognitive barriers to participation and support content retention (Brown et al., 2014). Research shows that clarity and organization of the instruction are more important and stronger predictors of success. Modality and volume are generally less impactful than either clarity or structure (Dixson et al., 2017; Limperos et al., 2015; Martin et al., 2023). Structure becomes a mode of communication in itself in online, particularly asynchronous environments, in that it projects preparedness and competence. Without structure, engagement becomes more difficult.
Rapport in online systems is communicated through structure more than through proximity and lack of fragmentary distractions (Flanigan et al., 2023).
Internalization requires engagement beyond initial message exposure. Reflection is one means of accomplishing that, however, in fast paced digital algorithm driven environments, skimming and cognitive overload can reduce the intentional moments needed for meaning to be established (Sellnow et al., 2017; Brown et al., 2014).
Instructor presence in techno-instructional environments is generally defined as being attentive, competent, and responsive (Swan, 2002; Dixson et al., 2017). To contextualize this with instructional crisis communication that typically comes from an organizational presence versus an individual, this is the perception that an institution is competent, aware, and coherent.
Internalization - Does the audience feel this applies to them?
Distribution - Is the message sent through trusted channels?
Explanation - Is the organization communicating clearly or are they confused?
Action - Are next steps clear?
In crisis contexts, video connections can strengthen communicative presence by reducing ambiguity (Walther et al., 2005). Vocal tone, facial expression, and environment all signal institutional presence. In technologically mediated environments, richer modalities can support internalization and reduce uncertainty within the IDEA framework (Sellnow et al., 2017).
Brown, P. C., Roediger, H. L., III, & McDaniel, M. A. (2014). Make it stick: The science of successful learning. Belknap Press of Harvard University Press.
Dixson, M. D., Greenwell, M. R., Rogers-Stacy, C., Weister, T., & Lauer, S. (2017). Nonverbal immediacy behaviors and online student engagement: Bringing past instructional research into the present virtual classroom. Communication Education, 66(1), 37–53. https://doi.org/10.1080/03634523.2016.1209222
Hallström, J. (2020). Embodying the past, designing the future: Technological determinism reconsidered in technology education. International Journal of Technology and Design Education, 30, 705–720. https://doi.org/10.1007/s10798-020-09600-2
Limperos, A. M., Buckner, M. M., Kaufmann, R., & Frisby, B. N. (2015). Online teaching and technological affordances: An experimental investigation of the impact of modality and clarity on perceived and actual learning. Computers & Education, 91, 1–9. https://doi.org/10.1016/j.compedu.2014.12.015
Martin, F., Kumar, S., Ritzhaupt, A. D., & Polly, D. (2023). Bichronous online learning: Award-winning online instructor practices of blending asynchronous and synchronous online modalities. The Internet and Higher Education, 56, Article 100879. https://doi.org/10.1016/j.iheduc.2022.100879
Sellnow, D. D., Lane, D. R., Sellnow, T. L., & Littlefield, R. S. (2017). The IDEA model as a best practice for effective instructional risk and crisis communication. Communication Studies, 68(5), 552–567. https://doi.org/10.1080/10510974.2017.1375535
Swan, K. (2002). Building learning communities in online courses: The importance of interaction. Education, Communication & Information, 2(1), 23–49. https://doi.org/10.1080/1463631022000005016
Zuboff, S. (2019). The age of surveillance capitalism: The fight for a human future at the new frontier of power. Profile Books.