Education is being provided by artificial intelligence (AI). With the advancing capabilities of AI, students learn creative means with which to use them for better learning and academic achievement. AI also provides new solutions to age-old student challenges with personalized tutorials, intelligent assignment helpers, etc.
Today, we’re going to explore the number 7 best ways how high school, college, and university students are already using artificial intelligence to achieve better grades. While these technologies are still evolving, early adopters are revealing valuable use cases that foreshadow how emerging generations will integrate AI tools, such as physics AI solver, into their academic journeys.
AI-Powered Personal Tutors Provide Customized Learning
It is well known that one-on-one human tutoring is the gold standard for learning and academic support. However, for the majority of students, private tutoring for an hour is not affordable. The goal of AI-powered personal tutors is to offer the advantages of personalized human tutoring at a small portion of the cost.
Century Tech, including Thinkster Math, curates a technology-based curriculum and feedback for their students based on the students’ strengths, weaknesses, and learning preferences assessed through the power of AI. The more advanced systems, like BellCurve, even adjust their teaching strategy according to the concepts that the student finds the most difficult. Similarly, Smodin, another central actor in this realm, has a bag of tools that aid in writing, research, and academic tasks, which allow students to create structured content and enhance their work in no time by accumulating intelligent suggestions and citation support.
With more development of the technology, AI tutors are expected to only keep getting smarter and more personalized. Soon, they may become so familiar with students that they can anticipate which knowledge gaps are most likely to come back to haunt them in the future.
Writing Assistants Help Craft Better Papers
Writing quality research papers, essays, and reports is critical to academic success across nearly all disciplines. Yet drafting strong written works often poses a hurdle for students.
Now, AI writing assistants allow students to get editing help, catch unintentional plagiarism, enhance vocabulary, and improve grammar – all within seconds.
Tools like Grammarly, Bibme, and Hemingway Editor use natural language processing (NLP) to provide context-specific writing feedback in real-time. This allows students to catch and correct mistakes immediately, leading to stronger first drafts.
Other emerging tools like Rytr and ShortlyAI go a step further by automating elements of the research and writing process. ShortlyAI structures information from student notes and online sources into a composition outline. Rytr will generate entire paragraphs or essays based on a few prompt sentences indicating the desired topic and tone.
As these AI capabilities advance, students can offload the most tedious aspects of writing, freeing up time to master course concepts. The technologies won’t replace the need to write originally, but they promise to make creating A-grade compositions much easier.
Intelligent Flashcard Apps Adapt to Reinforce Knowledge
For centuries, students have used flashcards to reinforce learning through repetition. Physical index cards have now largely been replaced by digital flashcard apps. But most of these lack the adaptability needed to maximize information retention.
That’s where machine learning steps in. Apps like Quizlet, Memrise, and Anki apply algorithms to test users on their weakest subject areas more frequently. Some also use data like response time to identify topics students are struggling with the most.
Studies confirm that smart flashcard apps boost academic performance. Students who used app-based flashcards scored over 15% higher on a post-medical school exam compared to non-users. Intelligent apps outperformed even paper flashcards.
Beyond traditional Q&A flashcards, new formats are also emerging. Apps like Kahoot, Quizizz and Quizlet Live! Make studying more engaging and game-like. The variety keeps motivation and focus high while also strengthening recall.
As AI capabilities grow, expect flashcard apps to get even smarter at identifying knowledge gaps at precisely the right moment to correct them.
AI Study Assistants Help Students Prioritize Tasks
Every student has felt the crunch of exams, papers, and assignments piling up faster than time to complete them. Even the most diligent scholars struggle to balance studying with social lives and self-care.
AI-powered study assistants are stepping in to help students manage hectic academic workloads more effectively. Apps like My Study Life, Forest, and Flipd use algorithms to categorize tasks, estimate completion times, and schedule priorities.
Study assistants go beyond basic to-do lists by actively preventing students from becoming distracted. Flipd’s Focus Mode blocks designated apps and websites during study sessions. Forest has users grow a virtual tree for set periods of distraction-free work time.
These tools help students align activities to their biological clocks for peak productivity. My Study Life lets users designate their most challenging coursework for times of day when they have the most energy and focus. Apps can then schedule easier review sessions when mental fatigue sets in later.
As machine learning capabilities grow more advanced, expect study assistants to start auto-populating to-do lists from course syllabi, notes, and textbook content. They may even prompt students to start assignments when data predicts that procrastination is likely to occur.
AI Tutoring Networks for Peer Learning and Support
In today’s competitive academic climate, many students are wary of openly sharing notes, answers, and past papers that took hours to prepare. But now, secure peer-to-peer tutoring networks are eliminating barriers to classmate collaboration.
AI tutoring platforms like GradeBuddy and Nexus match students to peers needing help in courses they’ve excelled in. Sessions allow classmates to guide one another through challenging assignments, share advice, and collectively fill knowledge gaps.
These networks build study groups based on performance data instead of existing social circles. This exposes students to new perspectives and forges connections with peers they’re most likely to learn from.
Initial trials show peer-based tutoring powered by AI matching has tangible academic benefits. One study found that computer science students participating in AI-optimized peer tutoring increased assignment scores by over 8 percentage points compared to non-participants.
As the technology develops, expect tutoring platforms to facilitate everything from real-time homework help via video chat to asynchronous Q&A discussions. This will make both giving and receiving academic support more convenient than ever.
AI-Proctored Exams Maintain Test Security Remotely
The rapid shift to remote learning has been a challenge for schools looking to maintain exam integrity outside physical classrooms. Without in-person human proctors, cheating and inappropriate collaboration are major concerns.
Now, AI-proctored testing is eliminating the need for in-person exam oversight. Companies like Proctorio, ProctorExam, and Honorlock use algorithms to detect suspicious behaviors during unsupervised tests.
Most AI proctoring platforms use students’ webcams to monitor movement and record video for later review if needed. Advanced systems track eye movements, mouse clicks, and even anomalous background noise. Machine learning compares these behavioral patterns to millions of previous exams to flag statistically improbable activity in real-time.
As remote and hybrid education becomes more common, robust and thoughtful implementation of AI proctoring will be critical, both to uphold academic integrity and prevent marginalizing students with limited access to privacy or strong internet connections.
Universities Harness Predictive Analytics to Boost Graduation Rates
For US colleges and universities, student retention leading to on-time graduation is imperative from an enrollment management perspective. Now, higher education institutions are tapping predictive analytics to identify at-risk students long before they consider dropping out.
Platforms like Civitas Learning, EAB, and Persistence Plus integrate data from campus IT systems like the registrar, financial aid, and the learning management system. Machine learning models uncover patterns linking behaviors with graduation likelihood.
When at-risk students are identified, advisors can quickly provide personalized interventions tailored to their specific needs. These could include connecting students to campus support resources, helping plan class schedules aligned with work availability, or simply words of encouragement at precisely the right time.
The Road Ahead: AI Will Radically Reshape Education
AI is already transforming learning for digitally savvy students. As these technologies become further integrated into education, they promise to make personalized academic support radically more accessible.
Soon, AI-based tools could allow students at all levels to tap customized lessons from world-class subject matter experts on demand. Machine learning will help teachers better support varied learning needs across classrooms of hundreds. Augmented writing tools may one day produce essay drafts so well-crafted that differentiating AI’s contribution from a student’s original work becomes impossible.
Revolutionary applications like these raise critical ethical questions about appropriate use and academic integrity standards. Schools, edtech companies, and policymakers will need to collaborate closely to ensure AI promotes learning equitably for all students.
One thing seems certain – emerging generations will learn differently than any before them. Savvy students are already embracing that future today by using AI to unlock their academic potential.
