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Developed at the University of Illinois, PLATO was one of the first systems to use computers for language instruction. It featured touch screens, online forums, and other interactive elements that were ahead of its time.
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Early CALL programs were developed for mainframe computers. These programs were primarily text-based and focused on repetitive drills and practice exercises. They were used in universities and research institutions.
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This decade saw the use of interactive video in CALL, combining video content with computer-based exercises. This provided a more engaging and multimedia-rich learning experience.
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Developed by Texas Instruments, this handheld device taught spelling and pronunciation, popularizing early language-focused educational tech.
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The introduction of microcomputers like the Apple II and IBM PC made CALL more accessible to schools and individuals. Software such as "The Bridge" and "MacLang" became popular tools for language learning.
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The rise of multimedia technology led to the development of more sophisticated CALL programs that included text, audio, video, and graphics.
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The Internet revolutionized CALL, enabling access to authentic language materials, email exchanges, and online chat for real-time communication.
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A pioneer in immersive language learning software, Rosetta Stone introduced lessons emphasizing audio and visual immersion.
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Websites like BBC Languages and language forums offered new platforms for learners. Online dictionaries and translation tools also became widely used.
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Though early forms of adaptive learning date back to the middle of the 20th century, its first use in education in a more modern sense came in the 2000s, when it started to be adopted by universities in the US.
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The emergence of Web 2.0 technologies and social media platforms facilitated collaborative and interactive language learning experiences. Tools like blogs, wikis, and social networks allowed learners to create and share content.
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This open-source learning management system allowed teachers to create online language courses with quizzes, forums, and assignments.
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The introduction of the iPhone and Android platforms accelerated the development of mobile language learning apps and podcasts.
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The integration of game elements into CALL programs became popular, making language learning more engaging and motivating. Platforms like "Memrise" and "Quizlet" used gamification to enhance learning.
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AI-powered language learning tools, such as chatbots and virtual tutors, began to emerge, providing personalized and adaptive learning experiences.
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Continued advancements in AI and machine learning have led to more sophisticated and effective language learning tools. These tools can analyze learner data to provide customized feedback and recommendations.
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VR and AR technologies started to be used in CALL, offering immersive and interactive language learning environments. These technologies allowed learners to practice language skills in realistic settings.
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The COVID-19 pandemic spurred the adoption of online tools like Zoom, Google Meet, and collaborative apps to support virtual language classrooms.
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Advanced AI systems powered by large language models, like OpenAI’s ChatGPT, revolutionized personalized language tutoring with real-time, contextual interactions.