Achieving proficiency in a second language requires more than passively watching YouTube videos. While videos can be valuable resources, they should be complemented with active learning, personalized instruction, authentic materials, and regular practice.
The limitations of passive learning through just watching YouTube videos highlight the need for a more interactive and engaging approach to online education. By understanding the active nature of human learning, we can embrace online educational platforms that address these limitations. These platforms offer dynamic features such as interactive activities, practice exercises, assessments, and (personalized) feedback.
Finding the right balance between test security measures and the test-taker experience is crucial for online and remote assessments. While robust security is important, excessive measures can lead to increased stress and compromised results. To strike this balance, clear instructions, user-friendly platforms, practice assessments, supportive communication, flexible scheduling, and feedback collection are key.
Mitigating threats to online and remote assessment security requires a multi-faceted approach. Implementing measures such as two-factor authentication, remote proctoring, secure browser lockdown, AI-powered plagiarism detection, and randomized question banks can significantly reduce the impact of threats to test security and validity.
Ensuring the validity of online and remote assessments is crucial, and test security plays a vital role in maintaining assessment validity. Impersonation, unauthorized materials, online cheating, and content leakage are significant threats to assessment security.
AI has revolutionized second language teaching, learning, and assessment, providing personalized and immersive language education experiences. While general generative language models can be valuable tools, specialized second language AI models designed explicitly for second language education offer a more targeted and accurate approach.
AI integration in education presents opportunities and challenges. A human-centered approach enhances education through personalized learning and reducing administrative burdens. Human-in-the-loop AI empowers educators to collaborate with AI systems, aligning technology with human values and expertise.
AI Generative Language Models (GLMs) offer great potential for enhancing asynchronous online education by providing personalized support and guidance to students. However, caution must be exercised to avoid potential misuses and risks such as misinformation and diminished human interaction.
The urgency and importance of promoting 21st-century skills cannot be overstated. As the world becomes increasingly interconnected and automated, individuals must possess the critical skills necessary to thrive in the future workforce.
Active interaction is vital for deep understanding, meaningful learning, and retention. Also, interactive assessments measure complex abilities and competencies more accurately. Asynchronous learning, though lacking real-time human interaction, can still utilize technology for creating alternative forms of interaction.
