AI plays a huge role in promoting business nowadays. According to Gartner, AI bots power about 85% of customer service interactions today, with 20% of the content written by AI.
Even though our streets are not overrun with robots, AI incorporates the numerous computer algorithms we rely on daily. For example, when using a chatbox on a website or using a personal assistant like Alexa/Siri, you rely entirely on AI. But what role does artificial intelligence play in learning and development? Here are some of the ways AI is revolutionizing education:
Artificial Intelligence in Learning and Development for Grading and Marking
The growth of Artificial Intelligence in learning and development means that with time teachers or trainers will start using AI to grade and mark tests and homework. Artificial intelligence grading bots can play a vital role in grading and marking, helping trainers and teachers have ample time with their students and family. Although it will take time before incorporating AI in grading and marking, nowadays, grading can be automated in areas with multiple choices or filling in the blanks.
Recently, essay grading software was introduced into the market, although it was in the early stages. We expect the quality to improve with time to facilitate the use of AI in grading and marking. When the software is fully developed, the role of educators will change. Instead of grading and marking essays, they will use the time to focus on qualitative work, for example, personal development, student interaction, and in-class activities, to improve their quality of input.
AI-Based Digital-Tutors
The US navy has used AI to train its pilots. In 2010, the US navy launched a project known as ‘Digital Tutor’ that could be used by recruiters in training. After some time, the results were evident because recruits who used the digital tutor outperformed Navy experts who had 7 to 10 years of experience in problem-solving skills and written tests! The results are an indication of the role AI can play in helping students understand technical disciplines.
Advanced technology can help digital tutors become part and parcel of e-learning and m-learning programs to facilitate distance learning. However, the process requires a lot of time and resources to become a success.
To make e-learning easy, teachers could consider delegating some of the syllabi to digital tutors. As a result, students could be more flexible and independent, especially when studying technical subjects.
Personalized Tests, Quizzes & Assessments
As a part of e-learning, students must complete tests, quizzes, and assessments to determine the course’s effectiveness. However, these tests are always limited, and they cannot help all the students.
With AI, tests, quizzes, and assessments can be personalized to suit different students. If the tests are not personalized, some students might find it too hard, while others may find the tests/quizzes too easy.
Therefore, designing personalized and adaptive tests and quizzes is the best approach because it will help assess the individual’s ability, progression, and needs. AI integration will play a massive role in improving learners’ engagement and satisfaction to yield better results.
Style Centered Learning
Since we are different, we all have a preferred style of learning. To achieve the best results, organizations spend a lot of time and resources trying to develop courses that suit their students.
With the help of AI technology, organizations can modify each training course to serve the students’ needs. It is not easy for educators to determine each student’s preference, but with an AI adaptive learning program, they can achieve this with ease.
Creating a Safe Environment for Trial & Error Learning
The trial and error approach is vital when it comes to making groundbreaking inventions. However, it has shortcomings because some learners feel intimated after making a mistake in front of their peers, trainers, or teachers in a classroom format. To create a safe and conducive environment for all students, a non-judgmental AI environment is ideal.
If a student can speculate, try new approaches, make suggestions, and experiment without being judged, criticized, or facing public disapproval, the results could improve. With the help of AI, an intimidation free trial and error learning will help students achieve better results that social learning or face to face engagement couldn’t.
Creating Digital Content
Researching, finding, and producing learning material is a time-consuming process. Using AI, educators can locate, extract, and convert appropriate information for learning and development. Nowadays, people use tools like Wibbits to research and gather vital information. Educators can create content using relevant books or articles on the internet.
The system scours different learning resources and the web to create ready to use course material in a classroom setting. While AI tools create digital content, educators/trainers only focus on producing engaging content and delivery to achieve positive results.
One of the advantages of AI in learning is accessibility. Although educators try to make learning accessible to everyone, people with disabilities find it hard. With AI, learning can be available to all students irrespective of their disabilities or conditions. For example, accessing a class might be hard for a disabled student. However, with e-learning, the student can study at home or in one place with ease.
Microsoft’s Seeing AI app enables people who have eye problems (partially sighted) to use their phone as a 3rd eye. Therefore, with the help of their phone, they can see better. With such AI augmentation, learning developers will design courses accessible to everyone.
Upgrading the Memory
Knowledge retention is one of the biggest challenges facing trainers and learners. With AI, it is possible to upgrade human memory! While this might seem impossible, the University of Pennsylvania has conducted several experiments on the same.
With machine learning algorithms, the researchers could decode and enhance human memory after triggering the brain with electric pulses. Although the research is in its early stages, it will be successful and fruitful soon. It is essential to know that specific parts of the brain can be triggered to enhance or boost memory.
Finally
Artificial intelligence in learning and development can be used to collect and analyze data from workplaces or during training courses. Once the data is analyzed, it can be used to gain particular insights to improve effectiveness.
With data analysis, employees can know the areas they need to improve, and the AI system can recommend appropriate courses to bridge the knowledge gap. Remember, collecting and analyzing employee data should be a continuous process to help the AI systems stay updated.
