Navigating change — 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,…
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): This is part of…
Language and AI: A mathematical equation
The 70 years of AI (see McCarthy et al. (1955)) have seen an intertwining of language and computing. At first, computers, as the name says, were meant for computation, for the fast calculation of a few complex equations or many simple ones. It was later that calculations…
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…
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 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…
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 – and they called it ICALL – for almost 50 years. For GenAI, what can we learn from…
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 reasons of brevity, we chose one commonly employed method – the gradual release of responsibility (Fisher & Frey, 2021). In an instructional sequence, the…
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 hand, the limits of appropriate corrective feedback GenAIs can give curtail the possibilities for individualized help…
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, 1994, 2000; Mabbott & Bull, 2004; McCalla, 1992; Michaud & McCoy, 2000; Schulze, 2008; Self, 1974; Tsiriga &…
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