How to Choose the Right Technology for Teaching and Learning

Every day, teachers and instructional designers face a question that seems simple on the surface: which technology should I use for this lesson? But behind that question lies a complex set of decisions involving pedagogy, budget, infrastructure, student needs, and institutional capacity. As Tony Bates points out, the selection and use of technologies for teaching is driven as much by context, values, and beliefs as by hard scientific evidence or rigorous theory. That means there is no universal “best” technology – only the most appropriate one for a given situation. This post breaks down the key criteria that should guide that choice, and introduces two structured frameworks that make the process more systematic and sound.

Why thoughtful technology selection matters 🔗

The biggest mistake educators make is adopting technology because it is new, popular, or because a colleague is using it. Tony Bates calls this “technological determinism” – using a tool simply because it exists, rather than because it serves a clear educational purpose. The result is wasted resources, disengaged students, and missed learning opportunities.

Technology selection in education must always start with a fundamental question: What do I want students to learn, and how can technology help them get there? The goal is not to modernize for modernization’s sake. Digital learning is subject to the same pedagogical best practices as traditional classroom instruction, and any edtech tool must serve both students and teachers by fostering engaging, differentiated experiences that build knowledge and skills. When learning outcomes drive the decision, technology becomes a means to an end – not the end itself.

Pedagogic requirements: aligning technology with how students learn 🔗

Before selecting any tool, it is essential to understand the type of learning it needs to support. This is where Bloom’s Taxonomy becomes a critical reference point. Developed by Benjamin Bloom and his colleagues in 1956, the taxonomy divides learning objectives into three broad domains: cognitive (knowledge-based), affective (emotion-based), and psychomotor (action-based), each with a hierarchy of skills and abilities. These domains are used by educators worldwide to structure curricula, assessments, and teaching methods.

The cognitive domain 🔗

The cognitive domain is the most widely recognized and focuses on intellectual skills – from basic recall and understanding all the way up to analysis, evaluation, and creation. The University of Waterloo’s Centre for Teaching Excellence notes that this hierarchy is sequential: a student must first know and understand content before they can apply or analyze it. Technologies that support this domain include simulation software for higher-order thinking, interactive quizzes for comprehension checks, and digital research databases for analysis tasks. For example, if a teacher wants students to move beyond memorization into critical analysis, tools like virtual simulations or collaborative platforms are far more effective than a static slide presentation.

The affective domain 🔗

The affective domain addresses how students develop attitudes, values, and emotional engagement with subject matter. It moves through levels from simply receiving and responding to information, all the way to internalizing values and consistently acting upon them. Technologies that serve this domain well include documentary-style videos, discussion forums, storytelling platforms, and real-world case study tools – anything that builds emotional connection and motivates learners to engage meaningfully with content.

The psychomotor domain 🔗

The psychomotor domain covers physical skills, coordination, and the ability to perform tasks. According to the University of Illinois Chicago, this domain ranges from basic perception and readiness to act, all the way to the ability to adapt and originate new movements. In educational settings, virtual labs, augmented reality tools, 3D modelling software, and hands-on simulation platforms directly support this domain. A medical student practising a surgical procedure in a VR environment, or an engineering student assembling a virtual machine, is engaging the psychomotor domain through technology.

The practical takeaway: no single technology covers all three domains equally. Thoughtful selection means identifying which domain your learning goal primarily targets, then choosing technology that has the appropriate affordances to support it.

Specific technology characteristics to evaluate 🔗

Beyond pedagogy, there are operational and practical characteristics that determine whether a technology will actually work in a given educational context. EdTech Magazine identifies that all students, staff, and leaders must have robust and reliable access to current technologies – meaning availability and infrastructure are non-negotiable starting points.

Availability and infrastructure 🔗

A technology that works in a well-equipped urban school may be completely impractical in a rural setting with limited internet connectivity. Before selecting any tool, educators must audit their physical and digital infrastructure: bandwidth, device-to-student ratios, availability of electrical capacity in classrooms, and whether students can access the technology outside school hours. If a tool requires high-speed internet and students only have access to a shared library computer, the pedagogical benefits are irrelevant – the tool simply will not function.

Cost-effectiveness 🔗

Tony Bates notes that the total number of learners served over the life of a course is a critical factor in technology selection – some technologies are far more economical with large numbers, while others increase in cost proportionately. Cost evaluation should not just look at the purchase price. It must consider teacher training time, ongoing licensing, technical support, and the risk of rapid obsolescence. A one-time funding allocation requires selecting technology with a long lifespan – ideally solutions that remain usable for five or more years and can be updated with freely available software.

Accessibility 🔗

Accessibility is not optional. It is a foundational requirement. Technology must be usable by all students, including those with physical or cognitive disabilities. This means evaluating whether a platform supports screen readers, whether videos offer subtitles or transcripts, whether content is available in multiple formats, and whether the tool functions across different devices. Common Sense Education’s evaluation rubric includes accessibility as a core pillar alongside pedagogy and engagement, and now also incorporates privacy – because protecting student data is part of ensuring a safe, accessible learning environment.

User-friendliness 🔗

A powerful tool that is difficult to use will slow down learning rather than enhance it. Setup, training, and annual support should require minimal time, and the technology should be easy for teachers to troubleshoot without specialist IT support. If students spend the majority of a lesson figuring out how to use an interface rather than engaging with the content, the tool has failed its purpose. Ease of use is not just a convenience – it is directly linked to whether the technology achieves its educational goal.

Pedagogical strengths, weaknesses, and obsolescence 🔗

Every technology has unique strengths and limitations as a teaching medium. Bates observes that intrinsic differences between technologies have implications for teaching and learning, and knowledge of these differences should guide selection. A video lecture, for instance, can model complex procedures and reach large numbers of students but offers limited interactivity. A collaborative platform enables discussion and co-creation but requires more planning and facilitation. Additionally, in a rapidly evolving technological landscape, anticipating how long a technology will remain relevant is crucial for sustainable implementation – tools that become obsolete quickly waste institutional investment.

Models for structured technology selection 🔗

Given the number of variables involved, it helps to have a structured framework to guide decision-making. Two models are particularly well-regarded in educational technology literature.

Bates’ SECTIONS model 🔗

The SECTIONS model, originally developed by Tony Bates and Gary Poole in 2003, was designed to cover the use of media in both campus-based and distance education. According to UBC’s Teacher Education Resource Hub, SECTIONS was designed to help educators make decisions about technology at both the strategic (institutional) and tactical (instructional) level. The acronym stands for:

• S – Students: What are students’ demographics, learning differences, and access to technology? The decision must always begin with who is being taught.
• E – Ease of use: How quickly can teachers and students learn to use the tool without significant technical overhead?
• C – Cost: What are the full financial implications, including setup, licensing, training, and long-term support?
• T – Teaching and learning: How well does the technology support the pedagogical goals and specific learning outcomes of the course?
• I – Interaction: Does the tool enable meaningful interaction – between students and teachers, and among students themselves?
• O – Organizational issues: How compatible is the technology with existing institutional policies, systems, and available support?
• N – Novelty: Is this a widely adopted tool, or something new that will require additional training and change management?
• S – Security and privacy: What are the data privacy risks, and how well does the technology protect student information?

The SECTIONS framework is valued because it is practical, research-based, and flexible enough to apply across different educational contexts – from a single classroom decision to an institution-wide technology strategy. It ensures that decisions are pedagogically sound while accounting for the real-world constraints teachers face.

The CASCOIME model 🔗

Patsula (2002) developed the CASCOIME model as an extension that builds on the Bates frameworks while adding criteria specifically valuable for international and cross-cultural educational settings. CASCOIME includes criteria such as socio-political suitability and cultural friendliness – dimensions that are often overlooked in Western-centric models but are critically important in diverse or multilingual educational environments. It also emphasises openness and flexibility, acknowledging that educational contexts vary enormously across regions and that technology choices must account for local social, cultural, and political realities.

Where SECTIONS is well-suited for structured institutional decision-making, CASCOIME adds a layer of contextual sensitivity that makes it particularly relevant for educators working in international development contexts, multilingual classrooms, or regions where technology access and socio-political factors significantly shape what is feasible. Together, these two models offer a comprehensive toolkit: SECTIONS for systematic evaluation of operational and pedagogical fit, and CASCOIME for ensuring cultural responsiveness and contextual appropriateness.

Putting it all together: a decision-making approach 🔗

Choosing the right technology is not a one-time event – it is an iterative process. As Edmentum notes, choosing edtech tools in a constantly changing landscape requires tying the decision-making process to sound foundations of teaching. A practical approach includes conducting a needs assessment to identify what specific learning challenge the technology will address, consulting with students and colleagues, evaluating options against criteria like those in the SECTIONS model, piloting the tool on a small scale before full deployment, and continuously assessing its impact on learning outcomes.

As Bates puts it, the key question is always: what does this technology allow you to do that you couldn’t do before – and does that added capability genuinely serve the students’ learning? If the answer is yes, and the practical criteria of cost, access, and ease of use are met, the technology earns its place in the classroom. If not, it is simply another distraction from teaching well.

What do you think? When you select a technology for teaching, do you start with the learning outcome or the tool itself – and how does that order affect the results? If you were to apply the SECTIONS model to a technology you currently use in your classroom, which criterion would be the most difficult to satisfy, and why?

References

1. https://opentextbc.ca/teachinginadigitalage/chapter/section-8-2-chossing-technologies-for-teaching-and-learning-the-challenge/
2. https://www.facultyfocus.com/articles/online-education/selecting-online-learning-technologies-an-interview-with-tony-bates/
3. https://www.edmentum.com/articles/how-to-evaluate-edtech-tools/
4. https://en.wikipedia.org/wiki/Bloom%27s_taxonomy
5. https://uwaterloo.ca/centre-for-teaching-excellence/catalogs/tip-sheets/blooms-taxonomy
6. https://teaching.uic.edu/cate-teaching-guides/syllabus-course-design/blooms-taxonomy-of-educational-objectives/
7. https://edtechmagazine.com/k12/article/2009/04/5-factors-consider-when-selecting-classroom-technology
8. https://www.tonybates.ca/2021/11/12/12-guiding-principles-for-teaching-with-technology-still-relevant/
9. https://www.aasa.org/resources/resource/evaluating-edtech-a-strategy-for-selecting-digital-tools
10. https://opentextbc.ca/teachinginadigitalage/chapter/9-1-models-for-media-selection/
11. https://scarfedigitalsandbox.teach.educ.ubc.ca/sections-model-assessing-technologies-in-the-classroom/
12. https://pressbooks.openeducationalberta.ca/orientationhandbook/chapter/technology-in-learning/