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Name URL Cost Address Year Created Type Audiences Technologies User count Creators Description Evolution Tech Description Uses Reasons Managers Strategies Pros Limitations Difficulties Publications
Deakin Genie App http://genie.deakin.edu.au/ Free 4th Floor, Sally Walker Building, Geelong, Victoria 3220, Australie Academic - School Post-secondary (18 years and over) Natural language processing and Analytics 0 Deakin University Deakin Genie is an artificial intelligence-enabled, personalised digital assistant used by students at Deakin University. It allows students to easily access their timetable, results, unit information as well as an array of answers to common student questions. Genie proactively engages and guides students through study and life at the University. Genie is an artificial intelligence and machine learning application system that learns and develops with use. Application used by students as a personalized digital assistant. N/A Adaptive learning N/A Lacity, M. (2017). Reimagining Professional Services with Cognitive Technologies at KPMG.
SpeechRator https://www.ets.org/accelerate/ai-portfolio/speechrater Paid 660 Rosedale Road Princeton, NJ 08541 USA 2006 Commercial Teachers Natural language processing and Speech Recognition 0 Educational Testing Service (ETS) The SpeechRater service uses speech recognition and analysis technology to assess and provide feedback on pronunciation, fluency, vocabulary and grammar. It is used in the TOEFL iBT test, which services the TOEFL test Massive Open Online Course, "TOEFL Test Preparation: The Insider's Guide," to provide a speaking score range to participants who complete a set of speaking tasks in the practice test by measuring spontaneous speech. Speech recognition and analysis technology to assess and provide feedback on pronunciation, fluency, vocabulary and grammar. Natural language processing and speech-processing algorithms are used to calculate a set of features that define a profile of the speech on a number of linguistic dimensions. Assessment of oral skills in English N/A Scores built on over a decade of TOEFL test data, Empowering student growth with valuable feedback, Speeding up scoring time while ensuring consistency, Upgrading assessment platform with zero headaches. Price https://www.ets.org/research/topics/as_nlp/speech
OU Analyse https://analyse.kmi.open.ac.uk/ Free Royaume-Uni 2017 Academic - School Post-secondary (18 years and over) and Learners with special needs Analytics 0 Knowledge Media Institute Pilot project based on machine learning for early identification of students at risk of failing. All students at risk of failing have course tutors and student support teams available to them every week for appropriate support. Data analysis Identify students at risk of failure. N/A Detects students at risk of failure. N/A Rienties, B., Cross, S. et Zdrahal, Z., 2017. Implementing a learning analytics intervention and evaluation framework: What works?. In Big data and learning analytics in higher education (pp. 147-166). Springer, Cham.
c-rater https://www.ets.org/accelerate/ai-portfolio/c-rater Paid 660 Rosedale Road Princeton, NJ 08541 USA Commercial Teachers Natural language processing 0 Educational Testing Service (ETS) The c-rater engine provides a robust solution to scoring and feedback that uses machine learning to evaluate the content of a response, even if it contains grammatical or style errors. It provides a robust solution to scoring that looks beyond keyword matching to assess content. The c-rater engine automatically scores responses while maintaining consistency across test takers with all the reliability of human scoring, allowing teachers to focus less on grading and more on doing what they do best — teaching and mentoring students. Automatic content scoring of short freetext student answers in English N/A Save time and money by automatically evaluating responses Price Sukkarieh, J. Z., & Stoyanchev, S. (2009, August). Automating Model Building in c-rater. In Proceedings of the 2009 Workshop on Applied Textual Inference (pp. 61-69). Association for Computational Linguistics.
Navigator https://gooru.org/about Free 350 Twin Dolphin Dr, Suite 115, Redwood City, CA 94065, USA Academic - School Post-secondary (18 years and over) and Teachers Analytics 0 Gooru Learning With Navigator, learners experience a GPS-like journey for learning, instructors monitor their learners and engage them with classroom practices, administrators track performance and scale success, and content providers develop a greater audience. Navigator uses AI techniques to individualize the learning experience and make individual learning at scale possible by understanding each learner through computing their preferences, context, and performance. Adaptive learning, Real-time Feedback N/A Adaptive learning, Real-time Feedback N/A Songer, N. B., Newstadt, M. R., Lucchesi, K., & Ram, P. (2020). Navigated learning: An approach for differentiated classroom instruction built on learning science and data science foundations. Human Behavior and Emerging Technologies, 2(1), 93-105.
Mangahigh https://www.mangahigh.com/en-us/ Paid First Floor, 4-14 Tabernacle Street, London, EC2A 4LU United Kingdom 2008 Commercial Primary (6-11 years old), Secondary (12-17 years old) and Teachers Analytics 0 Blue Duck Education Ltd Mangahigh is a game-based learning platform for primary and secondary school mathematics. Teachers set assignments, review results in real-time, track progress and can personalize learning. Real-time analytics with AI support for differentiation, AI recommendations for targeted learning. Mathematics learning N/A Adaptive quizzes, innovative games and social competitions, Aligned to international curricula, Real-time analytics with AI support for differentiation The price depends on the size of the class: Up to 5 students for $ 195, up to 30 students for $ 395 Goodwin, K. (2011). Evaluating Digital Games-Based Learning. NSW Government, Education & communities
Teach to One: Math https://www.newclassrooms.org/ Paid 1250 Broadway, 30th Floor, New York, NY 10001, USA 2011 Commercial Primary (6-11 years old), Secondary (12-17 years old) and Teachers Analytics 0 New Classrooms Teach to One: Math is designed to give students rigorous and engaging learning experiences each day tailored to their strengths and needs. Its adaptive Personalized Curriculum uses analytics from historical learner patterns, individual learner attributes, and lesson characteristics to decide what, when, where, and how students learn. Teachers have access to complete, real-time information on student progress through the Teacher Portal, enabling them to supplement, reinforce, and advance in-class learning. Adaptive learning to persolize learning experiences N/A Personalized learning materials, Multiple types of assessments, Providing students with actionable feedback, Providing teachers with learning analytics. $ 225 per student each year Ready, D. (2014). Student mathematics performance in the first two years of Teach to One: Math.
Jenzabar one https://www.jenzabar.com/products/jenzabar-one Paid 101 Huntington Ave Suite 2200, Boston, MA 02199, USA Commercial Post-secondary (18 years and over) Analytics 0 Jenzabar, Inc. Jenzabar One is a flexible, cloud-ready platform exclusive to higher education. It helps institutions predict enrollment, improve financial aid, and boost retention. It is a powerful suite of technology products and services that provides campuses with mobile-friendly solutions to drive institutional and student success. Machine learning for analytics Unified Cloud-Ready Higher Education Platform N/A Descriptive, diagnostic and predictive analytics, suite of technology products. Price
BBookX https://beyond.psu.edu/bbookx/ Free State College, PA 16801, États-Unis. Academic - School Post-secondary (18 years and over) Analytics 0 Pennsylvania State University BBookX is a new technology that uses a human-assisted computing approach to enable creation of open source textbooks. BBookX uses intelligent algorithms to explore Open Educational Resource (OER) repositories and return relevant resources that can be combined, remixed, and re-used to support specific learning goals. As instructors and students add materials to their book, BBookX learns and further refines the recommended material. Intelligent algorithms to explore Open Educational Resource (OER) repositories and return relevant resources to support specific learning goals, Machine learning to further refine the recommended material. Creation of open source textbooks N/A Saves teachers money by creating their own textbooks, Saves time when creating a new manual, Students can create their own textbooks. N/A Liang, C., Wang, S., Wu, Z., Williams, K., Pursel, B., Brautigam, B., ... & Giles, C. L. (2015, September). Bbookx: An automatic book creation framework. In Proceedings of the 2015 ACM Symposium on Document Engineering (pp. 121-124).
CampusNexus Engage https://www.campusmanagement.com/products/crm-for-higher-education Paid 5201 Congress Ave. Boca Raton FL 33487, USA Commercial Post-secondary (18 years and over) Analytics 0 Campus Management Corp. CampusNexus Engage combines Campus Management’s deep CRM (customer relationship management) solutions expertise with Microsoft’s application and cloud infrastructure to deliver a system of intelligence for higher education. Built using Microsoft Dynamics, Azure, and Power BI, the solution integrates higher education workflow processes and best practices with the latest innovations in artificial intelligence, machine learning, and business analytics to improve engagement and drive student and institutional success. Artificial intelligence and machine learning to improve engagement and drive student and institutional success N/A Institutions acquire an overview of the student life cycle, Dynamically respond to each student's unique experience and needs. N/A
Declara https://declara.com/ Free features 977 Commercial Street Palo Alto, CA 94303, USA Commercial General public Analytics 0 Declara Inc. With Declara, personalized access to content, communities, and people are unified in one, intelligent knowledge and collaboration platform that helps learners reach their professional goals faster. Declara's CognitiveGraph engine uses semantic analysis and predictive analytics to generate your Learning Profile and power your personalized learning feed. Machine learning algorithms understand what you like and feed you the articles, collections, and insights that fit your interests. Learners collaborate and converse right from the content that spark the ideas. Machine learning to create a personalized learning path. Intelligent social learning platform that connects people to content. N/A Personalized learning paths, Content recommendations, Persistent chat window for real-time conversations. The free plan has limited functionality
First Class https://beyond.psu.edu/firstclass/ Free 801, États-Unis Academic - School Teachers Natural language processing, Visual recognition and Analytics 0 Pennsylvania State University First Class is an immersive experience platform that brings the power of augmented reality to teacher education. First Class features a virtual K–12 class with six AI students, allowing aspiring teachers to use movement, voice, and gestures to interact with and react to the “virtual students” as the latter engage in a variety of behaviors. Immersive experience platform for aspiring teachers s.o. Practice authentically, Virtual students, Valuable feedback to users during and after their experience N/A
Brainly https://brainly.com/ Free features 21B Joselewicza, Poland 2009 Commercial Primary (6-11 years old) and Secondary (12-17 years old) Analytics 200,000,000 Brainly Brainly is a social network that allows students to cooperate. Students can ask questions and get answers in any field of knowledge or about their homework. The program uses Machine Learning algorithm for automatized spam and low-quality content filtering. And it uses AI to personalize content network features. Machine Learning algorithm for automatized spam and low-quality content filtering, AI to personalize content network feature. Cooperation N/A Students and experts solve homework questions together. Full access costs $ 18 per six months or $ 24 per year.
No Red Ink https://www.noredink.com/ Free features 118 2nd Street 3rd Floor San Francisco, California 94105, USA Commercial Teachers Analytics 0 NoRedInk Corp. NoRedInk builds stronger writers through interest-based curriculum, adaptive exercises, and actionable data. The system generates every exercise from students' favorite celebrities, friends, and interests, making the content fun and relevant. The engine differentiates instruction to meet each student's needs and to support learners when they get stuck. Diagnostic data, growth reports, and gradebooks allow teachers and administrators to track progress in real time. Adaptive learning to meet each student's needs and to support learners when they get stuck Development of writing skills N/A Authentic reviews, Personalized and interesting content, Unlimited adaptive practice, Data usable. The free version has limited functionality.
Pixatel http://www.pixatel.com/ Free features 809 Legion Way SE Suite 308, Olympia, WA 98501, USA Commercial General public, Primary (6-11 years old), Secondary (12-17 years old), Teachers and Learners with special needs Analytics 0 Pixatel Systems Inc. Pixatel is a tablet-based adaptive learning platform that provides children with dynamically tailored adaptive content suitable to their individual learning level—using daily practice and testing to master each topic before advancing to the next one. Auto-generated metrics allow teachers to target students most in need of attention in real time. Adaptive learning to personalize instruction N/A Improve learning outcomes, Increase student confidence and attention span, Weaker students benefit the most N/A
Completing the loop https://le.unimelb.edu.au/news/articles/learning-analytics-with-the-loop-tool Free Australie 2016 Academic - School Post-secondary (18 years and over) Analytics 0 Université de Melbourne Platform that takes usage data from an online platform and displays it in an easy-to-understand way to give a better of idea of ​​student success and engagement. Also provides tools to help users measure the impact of events over the course of the term. For example, did students access the material before or after the lecture? How was the homework submitted? Data analysis N/A Makes it easy to monitor students and personalize learning N/A Bakharia, A. et al. 2016, April. A conceptual framework linking learning design with learning analytics. Dans Proceedings of the Sixth International Conference on Learning Analytics & Knowledge (pp. 329-338).
Zoomi https://zoomi.ai/ Paid 640 Lee Road, Suite 120, Chesterbrook, PA 19087, USA 2012 Commercial Other education actors Analytics 0 Zoomi, Inc. Zoomi collects data from learner interactions during training, alerts companies where students are in difficulty, dynamically adapts content and creates personalized reports. Deep learning algorithms to identify weaknesses in understanding and provide customized content to meet an individual learner’s needs. Automated personalized learning technology for companies N/A Increasing completion rates, improving courses effectiveness, reducing training costs, increasing employee productivity, and improving learner engagement. Prix
Squirrel AI Learning http://squirrelai.com/ Paid No. 200 Tianlin Road,Building A2 (Huaxin World), Xuhui District, Shanghai, China 2014 Commercial Primary (6-11 years old) and Secondary (12-17 years old) Analytics 2,000,000 Yixue Group Based on Artificial Intelligence techniques, the Squirrel AI Learning system tracks students’ learning process, evaluates students’ proficiencies and mastery of knowledge in real time, dynamically adjusts subsequent learning content and makes optimal learning paths over time according to students’ learning profiles. Artificial intelligence algorithm technologies to study how different types of students interact with systems, to determine a user ability, to distinguish knowledge, to model the knowledge system, to construct a knowledge graph, to sort out the logical and cognitive relationships between knowledge components, to predict the learning ability of learners, to diagnose the student's knowledge state, to recommend the best knowledge components, to dynamically adjust the learning path in real time, and to find out the root cause of students' weakness in current knowledge. N/A Personalized learning experience, improving student efficiency and engagement. N/A Cui, W., Xue, Z., & Thai, K. P. (2018). Performance comparison of an AI-based Adaptive Learning System in China. In 2018 Chinese Automation Congress (CAC) (pp. 3170-3175). IEEE.
Summit Learning https://www.summitlearning.org/ Free 755 Rockwell Ave, Fort Atkinson, Wisconsin, 53538, United States. Academic - School Primary (6-11 years old) and Teachers Analytics 160,000 Summit Learning Summit Learning platform helps schools create a culture where all students are invested in their own learning. Students work with their teachers to set goals and track progress, and they are are given the time, support, and resources they need to master new material and apply what they've learned before moving on. Teachers see the day-to-day progress of each student. Adaptive learning N/A Individualized teaching, Autonomous learning, increase student engagement, Strong relationships between teachers and students, Free. N/A
AutoTutor https://www.memphis.edu/iis/projects/autotutor.php Free Institute of Intelligent Systems, University of Memphis, 365 Innovation Dr, Memphis, TN 38152, USA Academic - School Post-secondary (18 years and over) Natural language processing, Visual recognition, Speech Recognition and Analytics 0 The University of Memphis AutoTutor is a computer tutor that helps students learn by holding a conversation in natural language. It simulates a tutorial dialogue between human tutors and students as they work step-by-step through online tasks. AutoTutor tracks the cognition and emotions of the student and responds in a manner that adapts to the student. Emotions are recognized by the dialogue patterns, facial expressions, and body posture of the student. Learning physics and computer skills N/A Conversations in natural language (written or spoken). Conversational Agent adapts to the student, encouraging students to develop detailed responses and deep understanding N/A Graesser, A. C., Li, H., & Forsyth, C. (2014). Learning by communicating in natural language with conversational agents. Current Directions in Psychological Science, 23(5), 374-380.
iTalk2Learn https://www.italk2learn.com/ Free University College London, Gower Street Wc1e 6bt London, UK 2012 Academic - School Primary (6-11 years old) Natural language processing, Speech Recognition and Analytics 0 Projet de recherche, Franctions Lab , financé par l'Union Européenne iTalk2Learn is a learning platform that supports maths learning for students aged 5 to 11. It facilitates interaction in different modalities including speech, as well as multiple representations which can be manipulated and reasoned with when learning fractions. The system takes into account all historical performance across an entire student base as well as the behavioural patterns of each individual student in order to adapt more intelligently to their needs. It is able to interact with and respond to a student’s speech throughout a tutoring session to detect patterns of behaviour, attitude to the learning situation and affective states. Machine learning, Natural language processing, Bayesian networks (an AI technique) to detect and improve the emotional states of the student, Speech recognition to interact with and respond to a student's speech. Mathematics learning N/A Learn in a more natural way, Individualized learning, Detect and improve the emotional states of the student, Provide context specific feedback N/A https://www.italk2learn.com/deliverables-and-publications/publications/