How Verbal Thinking Elevates Learning

student working on mathThe notion of talking to oneself, often dismissed as a mere quirky habit or a sign of preoccupation, is, in fact, a powerful, evidence-based cognitive tool essential for learning, problem-solving, and achieving self-regulation. For educators, understanding and deliberately integrating this "verbal thinking"—known in psychological literature as private speech, self-talk, or self-explanation—into pedagogical practice can unlock deeper comprehension and foster truly independent learners. 

The psychological roots of verbal thinking's benefit trace back most prominently to the work of Soviet psychologist Lev Vygotsky. His socio-cultural theory identifies a critical stage in a child's cognitive development where social communication turns inward to become a robust tool for thinking. Vygotsky outlined a three-stage developmental framework for language: beginning with Social Speech in young children, where language is purely external and used for communicating with others; progressing to Private Speech during the preschool years (ages 3-7), where the child begins to speak aloud to themselves, often in a whisper or mumble, utilizing this overt language as a self-guiding tool for planning, regulating, and controlling their own behavior and problem-solving attempts.

For example, a child engaged in a puzzle might audibly walk themselves through the steps: "First, put the red block here, then the blue block goes on top." This transitional phase ultimately leads to Inner Speech (age 7+), which is the fully internalized, silent verbal thought that most adults use for abstract reasoning, reflection, and sophisticated problem-solving. For educators, the key takeaway from Vygotsky’s work is that overt verbal thinking, or private speech, represents the crucial bridge from externally guided learning—where an adult or peer provides the instruction—to true self-regulation and independent, complex thought. By encouraging students to verbalize their process, teachers are helping them build the necessary internal scaffolding for later, silent, and more sophisticated thinking.

Crucially, verbal thinking doesn't just manage behavior; it fundamentally alters how information is encoded and understood by the brain, supporting both memory and comprehension. Research in memory retrieval highlights a phenomenon known as the Production Effect, which demonstrates that reading or generating information aloud significantly improves its memory retention compared to reading it silently. This memory boost occurs because speaking information aloud engages a greater number of sensory channels simultaneously. The learner uses visual input (seeing the text), verbal/motor input (the physical articulation of the words), and auditory input (hearing the words being spoken). This richer, multi-modal encoding creates a more distinctive and robust memory trace in the brain, making the information much easier to recall later. This distinctiveness is vital: when a learner produces a word aloud, it stands out against the background of other silently read words, making the item unique in memory. Therefore, simply having students read key definitions, summaries, or steps aloud in a low-stakes environment is a simple, yet highly effective, way for educators to leverage this proven physiological mechanism to strengthen long-term memory.

Perhaps the most powerful cognitive benefit, particularly for complex material, is the deep processing that occurs through self-explanation. This process is not mere repetition; it is the active, conscious act of trying to explain new information by relating it to what one already knows, making necessary inferences, and proactively clarifying any ambiguities. The first benefit here is powerful metacognitive monitoring: when a learner verbalizes a concept, the very act of articulation immediately exposes areas of confusion or "knowledge gaps." If a student struggles to explain a step in a math proof or a scientific concept, the flaw in their understanding is instantly revealed, prompting them to go back and refine their knowledge. This is a critical act of metacognition—the vital process of thinking about one's own thinking. Secondly, self-explanation drives coherence building. Verbalizing forces the student to translate disparate, often fragmented, pieces of information into a coherent, logical structure. They are not just recalling isolated facts but actively constructing a unified mental model of how the concepts interact. This principle is famously embodied by the Feynman Technique—explaining a concept simply as if teaching it to a novice—which serves as a form of high-level, deliberate verbal thinking that ruthlessly exposes the limits of a learner's comprehension.

The idea that talking to yourself out loud is not only "okay" but also an excellent learning technique is satisfying, but as I dug into this research, I recognized things from my college and grad school education courses. Other than the idea that it's not abnormal behavior to talk to yourself, this research is not completely new. I used several of these pedagogies in my teaching.

The challenge for educators, then, is to move verbal thinking from an accidental occurrence to a deliberate, scaffolded learning strategy within the classroom environment. One highly effective technique is the Think-Aloud Strategy, which focuses on teacher modeling. This strategy is used to make the invisible thought process of an expert visible and accessible to students, thereby explicitly teaching them how to engage in effective self-talk. To implement this, the teacher must first explicitly state the goal: "I’m going to show you how a skilled reader or problem-solver thinks by saying my thoughts out loud." Then, as the teacher reads a complex passage, works through a mathematical equation, or analyzes a primary source, they must stop frequently to verbalize their internal dialogue. This might involve using strategic planning language like, "I'm thinking I should use the quadratic formula here because the equation is set to zero," or demonstrating monitoring and correction by saying, "That word, 'ephemeral,' sounds like it means brief, so I’m going to pause and look that up to make sure I understand the context," or making connections: "The author just described the main character as restless. That connects to the idea I read earlier about his lack of a stable job. I wonder if this will lead to him leaving town." Once modeled, the teacher must transition students to practicing the strategy, perhaps through paired activities known as Reciprocal Think-Alouds, before expecting independent use.

A second practical technique is the Self-Explanation Prompt. This method strategically inserts verbalization breaks into a learning task to force metacognitive reflection and is particularly useful in technical subjects. Implementation begins by identifying key moments in a text, problem set, or lab procedure where a deeper understanding is absolutely necessary before the student can proceed. At these pause points, the teacher provides students with specific open-ended questions they must answer aloud to themselves or in a brief reflection journal. Prompts should be targeted to specific cognitive functions, such as focusing on rationale ("Why did I choose this variable to isolate?"), demanding synthesis ("What is the main idea of this section in my own words?"), or explicitly asking for a connection ("How does this new concept relate to what we learned last week?"). For maximum impact, teachers should then encourage a "Think-Pair-Share" approach where students must first explain their logic to a partner, which solidifies the idea and provides practice in articulation before the whole class moves on.

Finally, the "Teach It Back" Method is a form of high-stakes verbal thinking rooted in the pedagogical principle that to teach a concept is to truly master it. In this strategy, a student is assigned the role of briefly "teaching" a key concept, a section of the reading, or a part of the homework to a small group, to the class, or even to an imaginary audience. The critical instruction given to the student is to explain the topic as simply as possible, perhaps using an analogy, metaphor, or non-technical language if appropriate. The student must translate complex, academic language into straightforward, accessible terms, which serves as the ultimate test of their own comprehension. The teacher should provide specific feedback not only on the accuracy of the content but also on the clarity and logical structure of the explanation, reinforcing the importance of effective verbal articulation as a measure of understanding. By integrating these verbal thinking strategies—modeling, prompting, and teaching back—educators are not just improving a single study skill; they are building the core components of the resilient and self-regulated learner, equipping students with the tools for lifelong, independent cognitive growth.

SOURCES
Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press. (This source is foundational for the concepts of Private Speech and its role in Self-Regulation.)

MacLeod, C. M. (2011). The production effect: Better memory as a consequence of saying aloud during study. Applied Cognitive Psychology, 25(2), 195–204. (This research provides the physiological basis for the Production Effect and memory benefits.)

Chi, M. T. H. (2013). Self-explanation: The effects of talking aloud or writing on learning. Topics in Cognitive Science, 5(1), 1–4. (This source details the mechanism and benefits of Self-Explanation for deep comprehension.)

Berk, L. E. (1992). The role of private speech in the development of mental processes. Psychological Review, 99(4), 779–795. (This provides contemporary developmental research supporting and elaborating on Vygotsky’s observations of private speech.)

Australia’s Nationwide Ban on Social Media for Children Under 16

Australia’s nationwide ban on social media use for children under 16 takes effect today, making it the first country to prohibit underage users from major platforms outright. It is a noble and probably necessary thing, but I cannot believe it is doable.

Millions of accounts are expected to be affected as companies, such as TikTok, Instagram, Facebook, Snapchat, YouTube, and X, face fines of up to $33M for serious or repeated noncompliance. However, the law places responsibility on companies rather than families, and platforms must demonstrate that they have taken “reasonable steps," such as implementing age checks and removing suspected underage accounts.

I suspect the companies will say these things have already been put in place. (Have you noticed the increase in ads on TV and in your Instagram feed about their teen accounts?) And how will Australia monitor this? Critics say the law is difficult to enforce. It might push teens onto harder-to-monitor platforms. Enforcement may pose privacy risks. We know that many children who create accounts have already lied about their age. Can that be determined?

The research shows 96% of children aged 10 to 15 had used social media, and a majority had used a communication platform to chat, message, call, or video call others (94%). Anecdotally. many of them report encountering harmful content, grooming, or cyberbullying.

Kids and AI

Artificial Intelligence is so ubiquitous -  both in visible ways and hidden away in how we use technology - that MIT Review published a piece on six things you should tell kids about artificial intelligence. I taught in a middle school and I know AI has entered that curriculum level, but even younger kids need to be taught and prepared for using AI.

One thing they suggest is the idea that AI is not your friend, but that doesn't mean it's your enemy. Chatbots are likely one of the first AI forms a younger child might encounter. That may be via a device such as Alexa. Yes, they "chat" in a somewhat friendly, conversational tone but younger kids need to be reminded that they are machines. That means not giving the machine any sensitive personal information which will be stored and used in a very large database. We know of cases where bots and apps have become "friends" for people in a serious way - and I'm not talking only about kids.

They also suggest conversations for young kids about how AI models are not replacements for search engines or a way to write your schoolwork. Following that idea, let it be known that teachers might accuse you of using an AI - possibly even when you haven’t used it.

Chatbots and recommender systems are designed to get you hooked and keep yu using them and maybe paying for a premium version. They might show you incorrect information. AI makes mistakes.

Of course, this is coming from Massachusetts Institute of Technology so their final suggestion is not to miss out on what AI is actually good at doing. "Students who find themselves struggling to understand a tricky topic could ask ChatGPT to break it down for them step by step, or to rephrase it as a rap, or to take on the persona of an expert biology teacher to allow them to test their own knowledge. It’s also exceptionally good at quickly drawing up detailed tables to compare the relative pros and cons of certain colleges, for example, which would otherwise take hours to research and compile."

The main is that parents and teachers need to have conversations about AI with the young people in their lives, and probably educate themselves about it too.

Podcasting and iTunes U

iTunes U user at NJIT

Podcasts at Apple are turning 20 years old, but Apple officially discontinued iTunes U at the end of 2021. The platform, which launched in 2007, was designed to help educators distribute lectures, assignments, and other learning materials through the iTunes ecosystem. It was especially popular with universities and K–12 institutions - for a time.

As Apple shifted its focus to newer tools like Classroom and Schoolwork, which offer more interactive and integrated experiences for iPads and Macs, iTunes U gradually became outdated. Apple announced the phase-out in 2020, giving educators time to transition to an alternative platform. That was partially why there was a temporary bump up in schools participating in MOOCs. 

NJIT iTunes U

I was at NJIT 20 years ago and spearheaded the university's inclusion in the initial "sweet 16" schools in iTunes U. It was important in its time, and I would update the new schools as they were added. I was disappointed in Apple's lack of support for the academic version of podcasting and was further disappointed when they dropped it after 14 years, but it had been losing its lustre. iTunesU (and iTunes itself) didn't really move forward, and the newer apps for educators allowed us to guide students through lessons in real time, share assignments, and track progress more efficiently. 

I searched for some of those old Serendipity35 iTunes U posts. Very nostalgic in 2025.

These are some of the general online learning platforms where some of that content was repurposed.
Khan Academy – Free, nonprofit platform offering lessons in math, science, economics, and more. Great for K–12 and beyond.
Coursera – Offers courses from top universities like Stanford and Yale. Many are free to audit, with paid certificates available2.
Udemy – A massive marketplace for courses on everything from coding to photography. Often discounted and self-paced.
FutureLearn – UK-based platform with university-led courses and microcredentials.
Institutional Tools
Canvas LMS and Blackboard Learn – Widely used by schools and universities for managing coursework, assignments, and communication.
Moodle – Open-source learning management system used by many institutions worldwide.
Open Educational Resources
Wikiversity and Wikibooks – Free educational content created and curated by volunteers. Great for self-learners.
Classroom & Student Engagement
ClassDojo – Focuses on classroom behavior and communication, especially for younger students.
Remind - Helps teachers communicate with students and parents via messaging.
Lumio – Turns lessons into interactive, collaborative experiences.