MacDirectory Magazine

Dmitry Marin

MacDirectory magazine is the premiere creative lifestyle magazine for Apple enthusiasts featuring interviews, in-depth tech reviews, Apple news, insights, latest Apple patents, apps, market analysis, entertainment and more.

Issue link: https://digital.macdirectory.com/i/1500862

Contents of this Issue

Navigation

Page 74 of 189

to the learning environment, content, and tasks to help individuals learn more and quickly improve. For instance, researchers at the Human-Computer Interaction Institute at Carnegie Mellon University taught a system how to solve a math problem. The system can follow instructions from a human supervisor to understand mathematical rules and adapt its approach to problems it has never seen before. The system can also identify areas where it had to make multiple attempts before arriving at the correct answer, flag those for teachers as places human students may get confused, and highlight methods the system used to more efficiently arrive at the right answer. 2. Intelligent textbooks Researchers at Stanford have been developing and testing a prototype of what’s called an “intelligent textbook,” titled “Inquire.” It is an iPad app that monitors students’ focus and attention while they read by paying attention to how students interact with the app. The interactive text includes definitions of key words accessible by touch or click and allows students to highlight and annotate while reading. The textbook can also suggest questions about the content and areas for future inquiry that are customized for each individual. It can change the reading level of the text and also include supplemental photos, videos and materials to help students understand what they’re studying. 3. Improved assessment Educational assessment focuses on how an educator knows whether a student is learning what is being taught. Traditional assessments – essays, multiple-choice tests, short-answer questions – are little changed from a century ago. Artificial intelligence has the potential to change that by identifying patterns in learning that may not be apparent to individual teachers or administrators. For instance, the language-learning company Duolingo uses AI and machine learning to create and score tests of English proficiency for universities, companies and government agencies. The tests start with a series of standard questions, but based on how the student does with those, the system will select harder or easier questions to more quickly identify a student’s exact abilities and weaknesses. Another assessment project, Reach Every Reader, staffed by the Harvard Graduate School of Education, MIT and Florida State University, creates educational games for parents to play with their children while teaching them to read. Some of the games have adults and children role-play as characters based on real-life scenarios. These games can help parents and teachers efficiently determine whether children are reading at their appropriate grade level and get them on track if they are not. 4. Personalized learning Personalized learning occurs when the students’ interests and goals guide learning. The teacher is more of a facilitator, while the what, why and how of learning are mostly dictated by the student. Artificial intelligence systems can provide individualized instruction tailored to each student’s individual interests. AI adaptive learning systems can quickly identify when a student is struggling and then provide more or different support to help them succeed. As the student shows that they have mastered the content or skill, the AI tool provides more difficult tasks and materials to further challenge the learner. Chatbots have been used to respond to typed or spoken input. Many individuals interact with a chatbot when they ask Alexa or Siri a question. In education, chatbots with artificial intelligence systems can guide students with personalized, just-in-time feedback or assistance. These chatbots can answer questions about course content or structure. This helps students keep track of their own learning while keeping them motivated and engaged. Much like an automated playlist of musical or video recommendations, an AI-powered recommender system can generate tailored assessment questions, detect misunderstandings and suggest new areas for a learner to explore. These AI technologies have the potential to help learners today and in the future.

Articles in this issue

Archives of this issue

view archives of MacDirectory Magazine - Dmitry Marin