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AI-powered Apps and Tools for Students

AI-powered Apps and Tools for Students

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Learning

AI-powered apps and tools in education

Artificial Intelligence (AI) offers many potential benefits for education, particularly among high school students. AI-powered apps and tools for students may allow them to customize learning experiences more closely to individual student needs, manage time more effectively and access specific types of academic support services more readily – but some educators and experts have raised concerns over any possible drawbacks of using AI in classroom settings.

 

Benefits and Drawbacks of AI in Education

One of the key advantages of AI tools in education is their capacity to custom tailor learning experiences for every individual student. Instead of following an overarching curriculum, students can now opt for personalized learning paths tailored specifically to meet their learning needs and preferences.

 

AI tools can analyze students’ learning styles, strengths, and weaknesses to suggest specific topics to study, exercises to complete, or types of content (videos or interactive simulations) they might enjoy (e.g. videos or interactive simulations). By offering this level of customization, these AI tools allow them to more quickly gain an in-depth knowledge of core subjects more quickly than with a one-size-fits-all approach.

 

AI in education also plays a pivotal role in helping students manage their time more effectively. High schoolers face an array of academic, social, and extracurricular commitments at once that may prove stressful; AI-powered time management apps enable students to break down their schedule into manageable chunks with reminders set and progress tracked toward specific goals, significantly decreasing stress levels while simultaneously improving overall academic performance by giving enough time for assignments, tests prep sessions, extracurricular events attendance etc.

 

At the same time, AI tools in education do have some drawbacks and limitations that should be kept in mind. One key risk associated with over-reliance on tech to learn can lead to overly dependent students who cannot solve problems independently without turning to tech for answers.

 

Furthermore, educators and experts have voiced concern regarding potential privacy and security risks related to storing student information digital platforms while using AI algorithms on that information for analysis.

 

Even amid these reservations, AI-powered tools in education offer much promise for supporting high school students. Here are just a few specific instances.

 

Examples of AI-Powered Apps and Tools for High School Students

Khan Academy: This popular online learning platform features several AI-powered tools designed to assist high schoolers with mastery of math, science and history subjects. Their “adaptive practice” system utilizes data on learners’ habits and challenges in order to personalize learning paths to best suit individual students over time and increase skills over time.

 

Brainly: Brainly is an AI-powered collaborative learning platform where students can ask and answer questions regarding coursework. The system utilizes natural language processing algorithms to suggest relevant resources based on student inquiries; additionally, experts in various subject areas may even connect directly with them through Brainly.

 

Socrates: Socrates is an AI-powered learning assistant designed to assist students in studying smarter rather than harder. Utilizing machine learning algorithms, Socrates tracks students’ progress over time and pinpoints areas where additional assistance may be necessary before providing study strategies and resources that help meet students’ objectives more easily.

 

IBM Watson Tutor: This AI-powered tutoring app gives students personalized guidance and feedback across many subjects. Utilizing natural language processing to analyze students’ writing samples and identify errors or areas for improvement, as well as custom review materials tailored specifically for practice on certain topics, this AI tutor is tailored specifically for use at educational institutions.

 

Grammarly is an AI-powered writing app offering AI grammar and spelling suggestions designed to assist students in improving their writing. Utilizing machine learning algorithms, Grammarly adapts its suggestions according to each user’s individual writing needs while offering real-time feedback regarding style, tone, syntax etc.

 

Knowt is an AI-powered notetaking app which generates quizzes from lecture notes to test student comprehension and retention over time. By actively engaging students in learning processes such as this one, Knowt helps strengthen critical thinking and problem-solving abilities while developing stronger critical reasoning abilities.

 

Duolingo: Duolingo’s AI-powered language-learning app was created to assist people of all ages quickly and efficiently learn a foreign language, offering personalized lessons tailored to each learner based on existing knowledge and goals, with plenty of immersive exercises and interactive modules designed to make practice fun!

 

IBM Watson Tone Analyzer: This AI-powered tool helps students communicate more efficiently by evaluating the tone and style of their writing. From emails sent directly to professors or scholarship applications to essays that may need editing to achieve desired effects, Watson Tone Analyzer may provide suggestions as to how best adjust style or tone in order to reach desired effects.

 

Amazon Alexa: Though not designed specifically to enhance education, Amazon’s smart assistant Alexa can still prove useful to high school students. For example, students could utilize Alexa to set reminders, create to-do lists, review flashcards or play music during study sessions – making Alexa an indispensable study aid!

 

ClassCompanion is an AI-powered app specifically designed to assist high school students in preparing for AP exams. With the help of Artificial Intelligence, ClassCompanion offers personalized study plans, practice tests, and detailed feedback to help students excel in their AP courses. The app analyzes students’ strengths and weaknesses, identifies areas where additional practice is needed, and provides targeted resources to address those areas. With ClassCompanion, students can maximize their AP exam preparation by harnessing the power of AI to optimize their study time and improve their chances of success.

 

Chat GPT tools

Chat GPT was developed by OpenAI as an intelligent language model capable of simulating human responses in conversational settings, including education tools. Here are a few examples:

 

Tutoring Chatbots

With Chat GPT you can quickly create tutoring chatbots designed to simulate human tutors and offer 24/7 assistance and extra support for any students with queries or need additional guidance in various subjects. These virtual assistants serve students who may experience trouble and provide extra assistance – providing 24/7 help when human tutors may not.

 

Writing Assistance

Chat GPT can be integrated into writing assistance tools to assist students with honing their writing abilities. Such tools typically offer suggestions regarding sentence structure, grammar and style based on content input by the student; by adding chat GPT functionality into these programs these writing assistants provide more personalized and interactive feedback to assist in developing writing proficiency.

 

Language Learning Chatbots

Chat GPT can also be integrated with language learning platforms to create conversational chatbots that facilitate dynamic and engaging language practice experiences for students. By simulating conversations between Chat GPT and students, these conversational bots help facilitate dynamic practice of their language skills in dynamic conversations that mimic real life dialogue – offering tailored language learning experiences.

 

Chat GPT provides virtual study buddies that engage students in conversations, ask pertinent questions and offer constructive feedback to enhance understanding. By simulating an actual study group dynamic, virtual study buddies allow for practice explaining concepts and exchanging thoughts which strengthen learning outcomes and foster meaningful dialogue that promotes group discussion among their group of classmates.

 

Conclusion

In summary, AI-powered tools and apps offer a wide range of benefits for high school students, including personalizing learning experiences, improving time management, and connecting students with on-demand academic support.

 

While some experts have raised concerns about the potential drawbacks of AI in education, these tools can still play a valuable role in supporting student learning and academic success. By exploring a range of different AI-powered tools and apps, high school students can access the benefits of this technology and develop strong academic skills over time.

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JOHN H. FALK

Director of the Institute for Learning Innovation and Sea Grant Professor Emeritus of Free-Choice Learning at Oregon State University

 

Dr. John H. Falk is Director of the Institute for Learning Innovation and Sea Grant Professor Emeritus of Free-Choice Learning at Oregon State University. He is a leading expert on free-choice learning; the learning that occurs when people have significant choice and control over what, where, and when they learn.

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CHRISTINE CUNNINGHAM

Professor of Practice of Education and Engineering at Penn State University

 

Dr. Christine Cunningham is a Professor of Practice of Education and Engineering at Penn State University. Her work focuses on making engineering more relevant, accessible, and inclusive, especially for underserved and underrepresented populations. She does this by creating researched-based engineering curricula for PreK-8 children and their educators. Her book, Engineering in Elementary STEM Education, describes her groundbreaking work. Previously, Cunningham was the Founding Director of Engineering is Elementary. Cunningham has received a number of awards; in 2017 her work was recognized with the prestigious Harold W. McGraw Jr. Prize in Education.

 

CHRIS ROGERS

Chris Rogers Professor and Chair of Mechanical Engineering at Tufts University

 

His research interests are:

Engineering Education, Robotics, and Musical Instrument Design

 

Education

Ph., D Mechanical Engineering, Stanford University
M.S., Mechanical Engineering, Stanford University
B.S., Mechanical Engineering, Stanford University

 

Biography

Chris Rogers earned his B.S., M.S., and Ph.D. in mechanical engineering at Stanford University, where he worked with Professor John Eaton on his thesis on particle motion in a boundary layer flow. Rogers joined the Department of Mechanical Engineering at Tufts School of Engineering in 1989. He is involved in a number of research areas, including particle-laden flows (a continuation of his thesis), telerobotics and controls, the slurry flows in chemical-mechanical planarization, the engineering of musical instruments, measuring flame shapes of couch fires, measuring fruit-fly locomotion, and engineering education (kindergarten to college). At Tufts, Rogers has exercised his strong commitment to teaching by exploring a number of new directions, including teaching robotics with LEGO bricks and teaching manufacturing by building musical instruments. His teaching work extends to the elementary school level, where he talks with over 1,000 teachers around the world every year on methods of introducing young children to engineering.

 

RumeysaDogan

RUMEYSA DOGAN

Co-founder and COO at TechDev Academy

  • Graduated from top-ranked business school with high honor
  • Worked in top global companies as Vodafone, Benetton Group, etc
  • Experienced in Product Management and Digital Marketing Analytics
  • Managed Entrepreneurship Club and mentored several entrepreneurs

 

 

ismail-marulcu

ISMAIL MARULCU

Co-founder & Chief Education Officer at TechDev Academy

  • Educator and Researcher since 2001
  • M.Ed. in Curriculum and Instruction from Boston College
  • Ph.D. in STEM Education from Boston College
  • Mentored more than 100 pre-service teachers, college students, and high school students

 

 

PaolaGomez

PAOLA G. GONZALES

Mentor & Educator

  • over 2,000 hours mentoring students and 4 years of teaching experience
  • spearheaded a nonprofit organization that provides mentorship to underrepresented students at the UC, Davis
  • an active member of the Surfrider Foundation

 

 

AyushKanodia

AYUSH KANODIA

Ph.D. Student in Computer Science at Stanford

  • Ph.D. Candidate in Computer Science at Stanford Uni.
  • Worked as a software engineer for Google
  • Expert in the intersection of Computer Science and Economics.

 

 

KairatSabyrov

KAIRAT SABYROV

Ph.D., Data Scientist

  • B.S. in chemistry and physics
  • Ph.D. In physical chemistry
  • Data science instructor at Lambda School
  • Worked at Lawrence Berkeley National Lab at the UC, Berkeley

 

 

BAHRUDIN TRBALIC

Ph.D., Candidate at Stanford University

  • Studied Physics & Electrical Engineering at MIT.
  • Worked at MIT as a Medical Data Analyst and Product Developer.
  • The founder and lead developer of Expert Experiments.
  • Received the 2023 Robert H. Siemann Graduate Fellowship and 2022 NASA Astrophysics Research and Analysis Award.
  • Spearheaded STEM camps across Europe and Asia.
  • He has been mentoring students for years.

 

 

SHASHA ANRONIKOV

Researcher at Stanford University

  • Recent honors graduate from Cornell University with a major in biological sciences and a minor in business at the College of Agriculture and Life Sciences.
  • Currently working at Stanford University in the Nolan Lab to conduct immunopathology research.

 

 

LISA WANG

BSc Harvard University Graduate

  • Studied Environmental Science and Engineering.
  • Cross-registered to Harvard Univ. and MIT.
  • An advisor to the Harvard Undergraduate Clean Energy Group.
  • Co-founder of Coolant, a company that builds software to unlock nature-based carbon markets.

 

 

SEMI HASAJ

MBA Data Scientist at C3 AI

  • Studied Data Science while obtaining his Master's of Business Analytics at MIT.
  • Studied Space Engineering in Toronto, Canada where he grew up.
  • He has spent years tutoring others because he loves to help people learn and grow.

 

 

SAMY AWWAD

Junior at Stanford University

  • Studying Symbolic Systems with a focus on Neurosciences and plans to be a medical doctor.
  • Founded ImmuniGlobal, a national nonprofit in vaccine education, and he was featured in Healthline magazine.
  • A published researcher in PubMed.
  • Honored by the CDC as a Flu Fighter during the COVID-19 pandemic.
  • Enthusiastic about empowering young changemakers.

 

 

HASAN TUNCER

Ph.D., Product Manager at Cruise

  • BSc. in Computer Science at Koc University, Istanbul.
  • Ph.D. in Computing and Information Scienves at Rochester Institute of Technology in New York.
  • Worked as a software engineering at Wall Street.
  • Product Manager for Cloud Services (at IBM Silicon Valley Lab), autonomous vehicles (at NIO, aka Chinese Tesla, Uber ATG, Aurora and Cruise)

 

 

RayYucel

RAY YUCEL

Ph.D., Data Scientist in Magnimind Inc.

  • B.S in Materials Engineering
  • M.Sc in Management
  • Ph.D. Candidate in Economics
  • Data scientist at Magnimind Inc.
  • Employs deep learning in finance and health care data

 

 

SofoklisGoulas

SOFOKLIS GOULAS

Ph.D., Senior Research Associate at the Hoover Institution at Stanford University

  • Senior research associate, Stanford Uni.
  • The use of data science and machine learning in economics
  • M.Sc. in finance and economics, Warwick business school
  • MS and a Ph.D. in economics, the Uni. of North Carolina at Chapel Hill
  • Worked at the Uni. of North Carolina and at the Bank of Greece

 

 

EnricoSantus

ENRICO SANTUS

Senior Data Scientist at Bayer

  • Senior data scientist at Bayer
  • Postdoc at MIT, in the group of Regina Barzilay
  • Experience in NLP in Oncology, Cardiology and Palliative Care
  • Experience in Fake News Detection, Sentiment Analysis, and Lexical Semantics.
  • Invited to talk at the White House

 

 

EMILY HALFORD

Data Analyst

  • Data analyst working in psychiatric epidemiology
  • Data Science&Mental Health Expert with the BBN Times
  • Master of Public Health, Columbia Uni.

 

 

RyanSpitler

RYAN SPITLER

Ph.D., Co-Founder and Deputy Director of the Precision Health and Integrated Diagnostics Center (PHIND) at Stanford University

  • Faculty Member, Standford Uni.
  • Founding Partner at Boutique Venture Partners
  • B.S. in Molecular Cell and Developmental Biology, UC, Santa Cruz
  • Ph.D. In Cellular and Developmental Biology, UC, Irvine

 

 

muratbaday

MURAT BADAY

Scientist at Stanford Uni, Founder & CEO at TechDev Academy

  • Co-founder of Smartlens, Magnimind, Wowso, Nanosight
  • M.S. in Physics from the University of Pittsburgh
  • Ph.D. in Computational Biology and Biophysics from the Uni. of Illinois at Urbana-Champaign
  • Mentored and tutored over 100 high school students
  • Developed novel ideas and has over 8 patents

 

 

GyunelRashidova

GYUNEL RASHIDOVA

B.S. in Biological Sciences,
Research assistant at the Laboratory of Biosensors and Bioinstrumentation

  • iGEM alumni, received Gold Medal among 250 teams
  • Fellowship holder from Women in Tech international organization
  • Founder of social projects:
    “OncoSense” - fabrication of device for the detection of cancer biomarkers;
    “RemiSee” - promotion of a colorblind-friendly educational platform
  • AIESEC alumni, organized case competitions with over 300 participants
  • Organized iGEM Biohackathon and Summer Camp for high-school and university students to apply coding for solving real case studies

 

 

SoudehYaghouti

SOUDEH YAGHOUTI

Ph.D., Data Scientist at Megalab, Silicon Valley

  • Ph.D. in Electrical Engineering, University of Naples Federico II, Italy.
  • More than 4 years of experience in data-driven research on electrical network systems.
  • Collaborating with TechDev Academy for several years and taught students data analysis projects.
  • Collaborated with Stanford scientists on projects that aimed to automate medical diagnosis of diseases with the help of image processing techniques and AI.

 

 

AIZHAN IBRAYEVA

MSc Researcher at Stanford University

  • MS. Aerospace Engineering from Purdue University.
  • Did research at Stanford University, Aerospace Science Lab (Purdue), Rarefied Gas Dynamics Lab (Purdue)
  • Worked on projects supported by NASA.
  • Worked as Engineer at Silicon Valley Startup companies.
  • Mentored Students from top US school

 

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Mon-Fri 2 hours of daily instruction and 2 hours of self-paced project development.

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Mon-Fri 2 hours of daily instruction and 2 hours of self-paced project development.

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Mon-Fri 2 hours of daily instruction and 2 hours of self-paced project development.

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