Course presentation
This course examines the relationship between educational technology, language acquisition, and the ongoing professionalization of Language teachers. Core discussions will interrogate the efficacy and systemic barriers of digital tools in language education, anchoring these evaluations within contemporary ethical, political, and sociological frameworks. The course is designed as an attempt to integrating foundational lectures with collaborative discourse and hands-on, applied methodologies. Thank you for your participation.
All the class material is here o this page and it reflects our classes along the semester (no xerox copies needed).
The extra material is posted here.
The course plan and evaluation method is here
Hope you enjoy the course.
Course introduction
From Cyberculture to Artificial Intelligence – The Evolution of Educational Technology and Human Cognition
1. Introduction
Hi. Here in this introduction we aim to explore the intersection of technology, philosophy, and learning. Our goal is to understand how educational technology has evolved over the past century and how we can make sense of this ongoing transformation.
2. The Evolution of Educational Technology
To understand where we are today, we must first look at where we came from. The history of technology in education is not just a history of machines; it is a history of shifting pedagogical paradigms:
- The Instructionist Era (1920s–1970s): Dominated by mass media like educational radio and television. The pedagogical model was behaviorist, heavily influenced by B.F. Skinner’s ‘teaching machines’—focused on stimulus, response, and standardized reinforcement.
- The Constructionist Era (1980s–Early 1990s): With personal computers, researchers like Seymour Papert revolutionized the field. Instead of the computer programming the student, the student programmed the computer (using languages like Logo). Learning became an active process of building logical structures.
- The Web and Cyberculture (1990s–2000s): The internet shifted the focus to human-human interaction mediated by computers. This was the golden age of Distance Education and Virtual Learning Environments.
- Ubiquitous and Blended Learning (2010s): Driven by smartphones and cloud computing, learning left the computer lab entirely, giving rise to the flipped classroom and mobile learning.
- The AI and Agency Era (2020s–Present): Today, we navigate the age of Generative AI. The primary educational challenge is no longer accessing information, but curating it, and learning how to partner with algorithms to enhance human critical thinking.
3. Pierre Lévy: The Sociotechnical Framework
To navigate this landscape, the work of Pierre Lévy remains foundational. His thought provides a sociotechnical map synthesized into three movements:
- The Virtual (1990s): Lévy taught us that ‘virtual’ is not the opposite of ‘real’, but the opposite of ‘actual’. It is a realm of potentialities. Learning is the act of actualizing knowledge. Technologies like writing, the printing press, and computers are ‘cognitive ecologies’ that literally reshape how we think and process the world.
- Cyberculture and Collective Intelligence (2000s): This is his most famous contribution to education. Lévy proposed that ‘no one knows everything, everyone knows something, and all knowledge resides in humanity.’ In this paradigm, the educator’s role shifted from a sole transmitter of knowledge to a curator and animator of the group’s collective intelligence.
- The Semantic Sphere and IEML (2010s–Present): In more recent years, Lévy has addressed the chaos of algorithmic ‘black boxes’. He developed the Information Economy Meta Language (IEML)—a computable language designed to give transparent, semantic meaning to internet data. His current warning is profound and timely: we must design transparent algorithms where human reasoning collaborates with Artificial Intelligence without losing our reflexive capacity and intellectual autonomy.”
4. Expanding the Horizon: Radical Constructivism and the Infosphere
“While Lévy explains the social network, we must also look at the epistemological shift—how the mind actually processes this digital reality. For this, we turn to other vital thinkers:
- Radical Constructivism (Ernst von Glasersfeld): Moving beyond traditional constructivism, Radical Constructivism—extensively debated in the journal Constructivist Foundations—argues that knowledge does not reflect an objective, external reality. Instead, knowledge is an adaptive function. In the digital age, this means educational technologies are not ‘pipelines’ delivering objective facts; they are complex environments that create ‘perturbations’. The student must actively reorganize their experiential world to make sense of AI, simulations, and virtual spaces. The technology doesn’t just deliver content; it alters the learner’s reality.
- Connectivism (George Siemens): Siemens expands on this by arguing that in a digital age, the ‘pipe is more important than the content within the pipe.’ Connectivism posits that learning is the literal process of creating connections and developing a network. Knowledge resides in the network itself.
- The Infosphere and Onlife (Luciano Floridi): Finally, to understand our current AI era, Oxford philosopher Luciano Floridi offers a crucial concept. We no longer go ‘online’ or ‘offline’; we live ‘Onlife’ within the Infosphere. Information and AI are not just tools we pick up and put down; they are environmental forces. In this era, the educator’s job is to help students build a philosophical immune system to navigate an environment where machines possess agency.”
“By combining Lévy’s collective intelligence, the adaptive epistemology of Radical Constructivism, and Floridi’s Infosphere, we gain a complete framework to understand not just what technology does for our students, but what it does to them. Thank you.”
Bibliography
Foundational Books (Theories & Philosophy)
- Glasersfeld, E. von. (1995).Radical Constructivism: A Way of Knowing and Learning. Routledge.
- Lévy, P. (1997).Collective Intelligence: Mankind’s Emerging World in Cyberspace. Perseus Books.
- Floridi, L. (2014).The Fourth Revolution: How the Infosphere is Reshaping Human Reality. Oxford University Press.
- Lévy, P. (2011).The Semantic Sphere 1: Computation, Cognition and Information Economy. ISTE / Wiley.
- Link: Publisher / DOI Link
Valid Academic Articles & Journals (Peer-Reviewed)
- Constructivist Foundations (Journal). An international, peer-reviewed open-access journal focusing on the multidisciplinary foundations of radical constructivism and second-order cybernetics.
- Link: https://constructivist.info/
- Relevance: The primary academic hub for understanding how cognitive architectures adapt to new technological perturbations.
- Riegler, A., & Steffe, L. P. (2014).What Is the Teacher Trying to Teach? Constructivist Foundations, 9(3), 298-305.
- Link: https://constructivist.info/9/3/298
- Relevance: Explores the role of the teacher from a strict Radical Constructivist perspective, deeply relevant for designing digital learning environments.
- Lévy, P. (2010).From social computing to reflexive collective intelligence: The IEML research program. Information Sciences, 180(1), 71-94.
- Link: https://doi.org/10.1016/j.ins.2009.11.036
- Relevance: Explains Lévy’s modern transition toward algorithmic transparency and the semantic web, crucial for understanding his current stance on AI.
- Siemens, G. (2005).Connectivism: A Learning Theory for the Digital Age. International Journal of Instructional Technology and Distance Learning, 2(1).
- Holmes, W., Bialik, M., & Fadel, C. (2023).Artificial Intelligence in Education: Promises and Implications for Teaching and Learning.
Sources of Research (Methodology & Epistemological Base)
The synthesis provided in this presentation was constructed by cross-referencing three distinct epistemological fields:
History of Educational Paradigms: Tracing the progression models defined by pioneers such as Seymour Papert (Constructionism) and George Siemens (Connectivism), mapping the definitive shift from behaviorist instructionism to modern networked, AI-assisted learning.
Philosophy of Technology & Information: Anchored in Pierre Lévy’s evolution from sociotechnical network theory to computational linguistics, combined with Luciano Floridi’s philosophy of the Infosphere, ensuring a non-deterministic view of technology’s role in society.
Radical Constructivism: Based on the epistemological framework established by Ernst von Glasersfeld and continuously updated by the Constructivist Foundations journal. This provides the psychological and cognitive mechanism for how learners adapt to digital environments, moving away from objective transmission models.
Class 1 & 2 – Tecnologias digitais e formação docente reflexiva

This first session sets the tone for the whole course. It is not a “how to use tools” class, but an invitation to think about what it means to be an English teacher in a world where digital technologies and artificial intelligence are increasingly embedded in everyday school life.
Our aim is to explore the idea of the reflective practitioner and connect it directly to technology integration in language education. Rather than treating apps, platforms and AI systems as neutral “solutions”, we will discuss how teachers develop their professional judgement about when, why and how to use (or not use) specific tools. The focus is on your agency as future teachers: technology should support, not replace, your pedagogical decision-making.
The video on the “reflective teacher” will help us revisit a concept that is frequently used but not always critically examined. Together, we will consider its strengths and limitations: in what ways can reflection empower teachers, and in what ways can it become an empty buzzword if detached from working conditions, curriculum pressures and digital inequalities?
By the end of the session, you should be able to articulate, in your own words, what it means to be a reflective English teacher who works with digital technologies and AI in the context of Rio’s municipal and state schools. You will also begin to map which kinds of competences you want to develop throughout the module to support your future practice.
To start thinking ahead: how would you describe, right now, the difference between “knowing how to use a digital tool” and “being reflective about integrating that tool into your English lessons”?
Texto acadêmico (formação docente / prática reflexiva)
- Enhancing Reflective Practice in Language Teacher Education: Technology as a Critical Reflective Partner. Technology in Language Teaching & Learning, 7(2), 103214 (2025) https://doi.org/10.29140/tltl.v7n2.103214
Vídeo YouTube (professor reflexivo)
- “Professor reflexivo: crítica de um conceito (parte I)” – aula expositiva sobre o conceito de professor reflexivo, seus limites e sua relevância para a formação docente contemporânea.youtube
Reflexive question (Brasil / Rio / EF-EM)
Pensando nas escolas municipais e estaduais do Rio de Janeiro, onde o professor de inglês frequentemente enfrenta turmas numerosas, escassez de infraestrutura e carga horária reduzida, o que significa, concretamente, ser um “professor reflexivo” na incorporação de tecnologias digitais e IA: como articular crítica às condições materiais com uma prática que ainda assim tente ressignificar o uso dos poucos recursos digitais disponíveis?