Mat Schulze
@matschulze.bsky.social
đ€ 42
đ„ 88
đ 32
Linguist, professor, blogger, manifestor, ...
https://PantaRhei.press/mat
Once in a while, I take a little break from things GenAI. I dug up a couple of older video recordings that are on the internet. In this one we are talking about: what's in a name? of a city? and 100 years later?
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Von Berlin to Kitchener â changing the name of Canadian city
Before 1916, the city of Kitchener, Ontario, Canada, was called Berlin. Ten years ago in 2016, colleagues from the Waterloo Centre for German Studies and I organized a panel discussion that marked the 100th anniversary of that name change. This discussion took place and was recorded in the Kitchener Public Library. Carl Zehrs, the former mayor of Kitchener, was our moderator.
http://pantarhei.press/2026/02/02/von-berlin-to-kitchener-changing-the-name-of-canadian-city/
3 days ago
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What can the professional development for in-service language teachers look like in the times of GenAI?
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Professional development and GenAI
The degree to which generative artificial intelligence (GenAI) has rapidly infiltrated education is unparalleled. Language education has been particularly impacted because GenAI tools process and generate the learning objective of that education, i.e., human language. Language teacher education programs have been faced with addressing GenAI since the public release of ChatGPT in November 2022, and we anticipate that many recent and future graduates will have had some formal education that includes it.
http://pantarhei.press/2026/01/26/professional-development-and-genai/
10 days ago
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reposted by
Mat Schulze
Emily M. Bender
13 days ago
Mystery AI Hype Theater 3000 is back for our first live stream of 2026, wherein
@alexhanna.bsky.social
and I will look into how our health care system is suffering from AI-hype-itis: Monday, Jan 26, noon PT,
twitch.tv/dair_institute
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dair_institute - Twitch
Twitch account for The Distributed AI Research Institute (DAIR).
https://twitch.tv/dair_institute
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The sustained integrated professional development for GenAI (GenAI-SIPD) has 10 knowledge and skill areas and 7 principles. Here are the 10 areas for teachers to look at. In short sips, we call it SIP(p)Ded.
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Ten skill and knowledge areas for (language) teaching with GenAI
We propose 10 areas for language teachers to develop fundamental knowledge and skills in. While these do not constitute an exhaustive list, they cover a wide range of the main applications of GenAI for language education. We suggest that teachers devote a few hours to exploring each as soon as possible, reflecting critically on how they may be incorporated in current teaching contexts.
http://pantarhei.press/2026/01/22/knowledge-areas-teaching-with-genai/
14 days ago
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Phil Hubbard is looking at four different frameworks for (language) teachers working with GenAI.
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What teachers need to know now about GenAI
We begin by reviewing four frameworks covering teacher competencies for AI and GenAI in education as a whole â UNESCO (2024), Educause (2024), ISTE (2024), and Paradox Learning (2023, 2025). This is part of a draft of an article I wrote with Phil Hubbard. He was the main writer of this part. In this paper, we are proposing a way in which teachers can organize their own professional development (PD) in the context of the rapid expansion of Generative AI…
http://pantarhei.press/2026/01/15/frameworks-for-teachers/
21 days ago
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reposted by
Mat Schulze
Data & Society
28 days ago
Anthropomorphizing language conceals the limitations of AI, promoting misplaced trust.
@emilymbender.bsky.social
&
@nannainie.bsky.social
suggest focusing on a systemâs functionalities: instead of saying a model is âgood atâ something, say what it is âgood for."
www.techpolicy.press/we-need-to-t...
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We Need to Talk About How We Talk About 'AI' | TechPolicy.Press
We share a responsibility to create and use empowering metaphors rather than misleading language, write Emily M. Bender and Nanna Inie.
https://www.techpolicy.press/we-need-to-talk-about-how-we-talk-about-ai/
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The Panta Rhei blog also has a couple of static pages. This post is a replica of one of them. The main one ...
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Navigating change â the Panta Rhei enterprise
This post is a replica of the original home page. (The current home page of the site is simply set to the list of recent posts in reverse chronological order.) Just thought you might be interested what is behind this blog. If you are a regular reader, ... it cannot always be about AI đ Panta Rhei â everything flows…
http://pantarhei.press/2026/01/06/homepage/
about 1 month ago
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Language Learning and AI: 7 lessons from 70 years (conclusion)
pantarhei.press/2025/11/27/a...
This one concludes the little series of posts, by bringing together all 7 lessons from what we knew about AI and language learning before ChatGPT came on the scence in late 2022.
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Language Learning and AI: 7 lessons from 70 years (conclusion)
Seven Lessons There has always been some interaction between AI and language and learning for the last 70 years. In computer-assisted language learning (CALL), people have worked on applying AI â aâŠ
https://pantarhei.press/2025/11/27/ai-seven-lessons/
about 1 month ago
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Language Learning and AI: 7 lessons from 70 years (#7)
pantarhei.press/2025/11/21/a...
This last of the 7 lessons focuses on pedagogy.
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Language Learning and AI: 7 lessons from 70 years (#7)
7. Gradual release of responsibility Instructional sequences and other learning processes are structured according to pedagogical guidelines and principles and specific teaching methods. For reasonâŠ
https://pantarhei.press/2025/11/21/ai-7-lessons-7/
about 1 month ago
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Why an LLM-based chatbot is not a language teacher ...
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Education and AI: Tool versus tutor
Of course, a language teacher is more than a benevolent conversation partner. In AI, an intelligent tutoring system (ITS) would be more akin to a language teacher than a chatbot would. An ITS consists of three interacting components (see Heift & Schulze, 2007): The expert model, which captures the domain knowledge or the information that students should learn; The tutor model, which makes decisions about the instructional sequences and steps as well as appropriate feedback and guidance for the group as a whole and for individual students;
http://pantarhei.press/2025/12/30/tool-versus-tutor/
about 1 month ago
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What does machine translation in 2026 have in common with chatbots? The same underlying technology â artificial neural networks. What does that have to do with language teaching?
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Translation and AI: Separated by a common language
In the interaction with a chatbot, one can change the language or prompt the machine to reply in another language than that of the prompt or request a translation of a text generated previously. It is therefore not surprising that dedicated machine translation (MT), such as Google Translate and DeepL, relies on LLMs and thus artificial neural networks in the way that GenAI chatbots do.
http://pantarhei.press/2025/12/17/translation-and-ai/
about 2 months ago
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Language Learning and AI: 7 lessons from 70 years (#6)
pantarhei.press/2025/11/16/a...
And how about individualization ... can chatbots do that for language learners?
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Language Learning and AI: 7 lessons from 70 years (#6)
6. Dynamic individualization Even though a GenAI is not an ITS, as some ICALL systems were, can it consider and appropriately respond to individual learner differences (Dörnyei, 2006)? On the one hâŠ
https://pantarhei.press/2025/11/16/ai-7-lessons-6/
about 2 months ago
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7 principles of sustained integrated professional development for language teachers in times of GenAI
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Seven principles of sustained integrated professional development (GenAI-SIPD)
This is part of a draft of an article I wrote with Phil Hubbard. He was the main writer of this part. In this paper, we are proposing a way in which teachers can organize their own professional development (PD) in the context of the rapid expansion Generative AI. We call this PD sustained integrated PD (GenAI-SIPD). Sustained because it is continuous and respectful of the other responsibilities and commitments teachers have; integrated because the PD activities are an integral part of what teachers do anyway; the teacher retains control of the PD process.
http://pantarhei.press/2025/12/11/7-principles-genai-sipd/
about 2 months ago
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Language Learning and AI: 7 lessons from 70 years (#5)
pantarhei.press/2025/11/10/a...
... and here is a technical reason why a chatbot is a good conversation partner for a learner and worse at teaching than the guy down the street, who sells ice cream and who is an excellent conversationalist
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Language Learning and AI: 7 lessons from 70 years (#5)
5. Recording learner behavior and student modeling The intelligent tutoring systems in ICALL had this knowledge stored in a student model (Schulze, 2012). Student modeling (e.g., Bull, 1993; Bull, âŠ
https://pantarhei.press/2025/11/10/ai-7-lessons-5/
about 2 months ago
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A recent book on Artificial Intelligence in Our Langauge Learning Classrooms.
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Generative AI and the Future of Language Classrooms
Over the past decades, those of us interested in computer-assisted language learning have repeatedly seen new technologies arrive with promises to transform language education. From early interactive grammar exercises to multimedia CD-ROMs, from learning management systems to mobile apps, each sparked both excitement and trepidation. Generative artificial intelligence (GenAI), however, is different. The sudden arrival of large language models and their chatbots into everyday life in late 2022 did not just add another teaching and learning tool but set in motion a fundamental change of the environment in which teachers teach and learners learn.
http://pantarhei.press/2025/12/05/genai-future-language-classrooms/
2 months ago
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Language Learning and AI: 7 lessons from 70 years (#4)
pantarhei.press/2025/11/05/a...
My personal favorite of the 7 lessons from what we learnt in the time before 2022. Why teachers and learners should be cautious when some claims a chatbot can give you metalinguistic corrective feedback.
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Language Learning and AI: 7 lessons from 70 years (#4)
4. Appropriate error correction and contingent feedback Rather than focusing on engaging the learner in communicative interaction, learning with ICALL systems was often based on the assumption thatâŠ
https://pantarhei.press/2025/11/05/ai-7-lessons-4/
2 months ago
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Language Learning and AI: 7 lessons from 70 years (#3)
pantarhei.press/2025/10/30/a...
Looking at what teachers have done with AI before ChatGPT-3 in late 2022 and at what can be and should be or should not be done with GenAI chatbots.
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Language Learning and AI: 7 lessons from 70 years (#3)
3. Varied interaction in language-learning tasks The human-machine conversation often works because we are used to adhere â even if the machine cannot and is not â to Griceâs four maxims of câŠ
https://pantarhei.press/2025/10/30/ai-7-lessons-3/
2 months ago
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Language Learning and AI: 7 lessons from 70 years (#2)
pantarhei.press/2025/10/26/a...
Learning some lessons from the past takes a little writing. This is about lesson 2
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Language Learning and AI: 7 lessons from 70 years (#2)
2. Communication in context Oxford (1993) desired that âcommunicative competence must be the cornerstone of ICALLâ  (p. 174), noting that many ICALL projects of her time did not meâŠ
https://pantarhei.press/2025/10/26/ai-7-lessons-2/
2 months ago
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Lesson #1: updated version
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Language Learning and AI: 7 lessons from 70 years (#1)
1. Exposure to rich, authentic language The texts â or the language â that a computer can understand or generate depend on its capacity for NLP. Computer scientists added the adjective 'natural' because the parsing of programming language(s) was possible, and necessary, before they turned to parsing texts produced by humans. In early NLP, computational linguists wrote grammatical rules and compatible dictionaries in programming languages such as Prolog and LISP.
http://pantarhei.press/2025/10/22/ai-7-lessons-1/
4 months ago
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Humans vs. AI: what is the difference. And also, who or what is better? As they used to say: Read all about it, ...
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Humans vs. AI: The real difference
What is the difference between humans and AI? You are wondering ... So was I ... In July of this year, I gave a keynote presentation at JALTCALL under the title "Language Learning with GenAI: Bridging the gap or burning the bridge." JALT is the Japanese Language Teacher Association, and JALTCALL is its large special interest group â I believe they have between 200 and 300 members in the interest group â in computer-assisted language learning.
http://pantarhei.press/2025/09/17/humans-vs-ai/
5 months ago
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reposted by
Mat Schulze
CALICO Journal
5 months ago
**CALL FOR BOOK PROPOSALS** The book proposal deadline for the 2028 Advances in CALL Research and Practice Book Series is
#September30
đ See the CfP here:
shorturl.at/Tby36
Volumes address a variety of topics that reflect the breadth of diversity in the field of
#ComputerAssistedLanguageLearning
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What is the future of language teaching? That's not what I am worrying about here. I am thinking about what language teachers can do now t shape the future of language teaching with GenAI.
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GenAI and the future of language teaching
A prediction about the future of language teaching when GenAI is rapidly evolving? That's tough. Predictions are difficult, especially about the future. Usually Niels Bohr is credited with this bonmot. Apparently, it was the Danish politician Karl Kristian Steincke who said it first: Det er vanskeligt at spÄ, isÊr nÄr det gÊlder fremtiden. We are more trying to explore how language teachers can begin to shape the future of language teaching with GenAI.
http://pantarhei.press/2025/09/12/future/
5 months ago
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If you would like to know what people did with AI (in language learning) before ChatGPT burst on the scene in late 2022, and what this tells us about the current developments in generative AI, ...
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GenAI and language learning
Photo by Victor Freitas on Pexels.com It feels like the chatter about AI (as they say, when most people mean generative AI only) seems to be as vast as the ocean ... And that is a good thing; we are dealing with a complex rapidly moving challenge-cum-opportunity. Recently, I wrote about 7 lessons from 70 years in the context of AI…
http://pantarhei.press/2025/08/09/genai-and-language-learning/
6 months ago
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These seven lessons for our work with GenAI today have been drawn from the interaction of AI and language education - in one way or another - for 70 years.
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(I)CALL and AI: 7 lessons from 70Â years
There has always been some interaction between AI and language and learning for the last 70 years. In computer-assisted language learning (CALL), people have worked on applying AI â and they called it ICALL â for almost 50 years. For GenAI, what can we learn from these efforts of working with good old-fashioned AI for such a long time?
http://pantarhei.press/2025/04/27/ai-seven-lessons/
9 months ago
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I drawing 7 lessons for GenAI in language education from what had been done with good old-fashioned AI in computer-assisted language learning (CALL) and what was Intelligent CALL (ICALL). All lessons prepped. Follow these posts on the blog.
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(I)CALL and AI: 7 lessons from 70 years (#6)
With this one, six of the seven lessons have been prepared. Here is a quick list of what I posted in this context before. â historical introduction â Prep #1: exposure to authentic languageâ Prep #2: communication in contextâ Prep #3: interaction in language learning with GenAIâ Prep #4: appropriate error correction and contingent feedbackâ Prep #5: …
http://pantarhei.press/2025/04/01/ai-7-lessons-part-7/
10 months ago
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Using the structuring method of gradual release of responsibility to discuss the integration of GenAI in language education. This is part 7 of 9 on CALL and AI.
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Computer-assisted language learning and AI: Seven lessons from seventy years (part 7)
With this one, six of the seven lessons have been prepared. Here is a quick list of what I posted in this context before. â historical introduction â Prep #1: exposure to authentic languageâ Prep #2: communication in contextâ Prep #3: interaction in language learning with GenAIâ Prep #4: appropriate error correction and contingent feedbackâ Prep #5: …
http://pantarhei.press/2025/03/31/ai-seven-lessons-part-7/
10 months ago
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Preparing the fifth of seven lessons in this post. The question is: why is ChatGPT not a language tutor?
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Computer-assisted language learning and AI: Seven lessons from seventy years (part 6)
Thus far, I have given a historical introduction and talked about the necessary exposure to authentic language, communication in context, interaction in language learning with GenAI, and appropriate error correction and contingent feedback. All parts are based on a manuscript for a book chapter that I wrote recently. The following describes the basis for lesson #5.
http://pantarhei.press/2025/03/18/ai-seven-lessons-part-6/
11 months ago
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reposted by
Mat Schulze
DAAD Worldwide
11 months ago
Internationale
#Studierende
- ein wirtschaftlicher
#Gewinn
fĂŒr
#Deutschland
. Neue IW-Studie im Auftrag des DAAD zeigt: Jeder Jahrgang int. Studierender generiert 15,5 Mrd. ⏠mehr an Steuern & Abgaben, als der Staat fĂŒr ihn per Saldo ausgibt. PM:
t1p.de/yhwy6
#Bildung
#FachkrÀfte
#DAAD
#IW
#BMBF
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Office door
11 months ago
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Computer-assisted language learning and AI: Seven lessons from seventy years (part 5) We are onto part 5. All parts are based on a manuscript for a book chapter that I wrote recently. Part 1 gives a historical introduction. Part 2 focuses on the necessary exposure to authentic language and whetherâŠ
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Computer-assisted language learning and AI: Seven lessons from seventy years (part 5)
We are onto part 5. All parts are based on a manuscript for a book chapter that I wrote recently. Part 1 gives a historical introduction. Part 2 focuses on the necessary exposure to authentic language and whether this can be done with GenAI. Part 3 looked at communication in context, which is central in language learning. We turned to the role of…
http://pantarhei.press/2025/03/02/ai-seven-lessons-part-5/
11 months ago
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Read this this morning: All the happiness there is in this world Arises from others to be happy And all the suffering there is in this world Arises from wishing ourselves to be happy Shantideva
11 months ago
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Computer-assisted language learning and AI: Seven lessons from seventy years (part 1) My inspiration for this title came from the book Snyder, T. (2017). On tyranny: Twenty lessons from the twentieth century. Tim Duggan Books. Photo by Mikhail Nilov on Pexels.com What do we know about artificialâŠ
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Computer-assisted language learning and AI: Seven lessons from seventy years (part 1)
My inspiration for this title came from the book Snyder, T. (2017). On tyranny: Twenty lessons from the twentieth century. Tim Duggan Books. Photo by Mikhail Nilov on Pexels.com What do we know about artificial intelligence (AI) in language teaching and learning already? What can we see if we look back more than two or so years? In the last two years, discourses on generative AI (GenAI) in the academic literature on (language) education, writing, publishing, (machine) translation, computer science, and many other areas as well as in mainstream and specialized media have resulted in a multitude of articles, books, chapters, columns, essays, guidelines, opinion pieces, and tip sheets.
http://pantarhei.press/2025/02/24/ai-7-lessons-part-1/
12 months ago
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Computer-assisted language learning and AI: Seven lessons from seventy years (part 4) And here is part 4 of a short series. All parts are based on a manuscript for a book chapter that I wrote recently. Part 1 gives a historical introduction. Part 2 focuses on the necessary exposure to authenticâŠ
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Computer-assisted language learning and AI: Seven lessons from seventy years (part 4)
And here is part 4 of a short series. All parts are based on a manuscript for a book chapter that I wrote recently. Part 1 gives a historical introduction. Part 2 focuses on the necessary exposure to authentic language and whether this can be done with GenAI. Part 3 looked at communication in context, which is central in language learning.
http://pantarhei.press/2025/02/24/ai-seven-lessons-part-4/
12 months ago
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Continuing to think about the role of GenAI in language education ...
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Computer-assisted language learning and AI: Seven lessons from seventy years (part 3)
This is the third part of a short series. All parts are based on a manuscript that I wrote recently. Part 1 gives a historical introduction. Part 2 focuses on the necessary exposure to authentic language and whether this can be done with GenAI. And I mean exposure and not so-called comprehensible input. 2. Communication in context
http://pantarhei.press/2025/02/14/computer-assisted-language-learning-and-ai-seven-lessons-from-seventy-years-part-3/
12 months ago
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Research on Learning and Language: Comprehensible input
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Comprehensible input
Photo by Artem Beliaikin on Pexels.com For the last 30 or so years, I have been working with computers. When working with machines, input is an important concept. In the nineties, I read, heard, and thought a lot about input in the context of language learning and in â what Stephen Krashen called â language acquisition. I struggled with his input hypothesis and his no-interface hypothesis.
http://pantarhei.press/2025/02/14/comprehensible-input/
12 months ago
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