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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
Knowji https://www.knowji.com/ Paid Palo Alto (USA) Commercial Primary (6-11 years old) and Learners with special needs Analytics 0 Knowji, Inc. Knowji is a fun application for learning vocabulary. Words that students make mistakes with are kept in memory and come up more often than words they succeed with. The app also brings back certain words when it’s been a while since they were practised. To calculate the time that should elapse before a word comes up again Learning vocabulary N/A Ensures long-term memory retention of everything you’ve learned N/A
Plexuss https://plexuss.com/solutions/home Paid 231 Market Place, Suite 241 San Ramon, California 94583, USA 2011 Commercial Post-secondary (18 years and over) Analytics 6,000,000 JP NOVIN PLEXUSS is the largest digital ecosystem for students to connect with over 18,000 colleges and universities worldwide. Our exclusive social and machine learning technology helps students worldwide connect with social capital that propels students forward. Recruitment, data analysis, selection N/A Attract new students, selects students based on the interests and needs of the student and the school N/A
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
B12 par Apprentx www.apprentx.rocks Paid 2019 rue Moreau, Montreal, QC, Canada 2019 Commercial General public, Secondary (12-17 years old), Post-secondary (18 years and over) and Teachers Natural language processing, Expert systems and Analytics 12,000 Apprentx Équipe: Jean-Philippe Bradette - CEO Pierre-Alexandre Bradette - COO Julie Castonguay - CXO Louis Auger Gosselin - Directrice transformation de l'apprentissage Nadia Lépine - Directeur transformation de l'apprentissage Charles-Olivier Demers - Chef des TI et de la programmation Antoine Grandchamp - Développeur Full-Stack Senior Alex Nault - Développeur Full-Stack Senior B12 met à profit la science cognitive, l’intelligence artificielle et l’analytique avancée pour renforcer la mémorisation et développer les habiletés, tout en offrant aux superviseurs, équipes de formation et directions une visibilité sur le niveau de confiance et de performance des employés. Suivant un calendrier prédéterminé, B12 soumet des activités de renforcement par notification courriel (ou messages texte). L’idée est d’espacer et de répéter les activités dans le temps, et de les intégrer facilement dans l’horaire de travail. Bien que B12 ait été développé avec le secteur Commercial en tête, il a rapidement été utilisé dans le milieu scolaire pour l'aide à l'apprentissage. B12 a évolué très rapidement et offre un grand éventail de fonctionnalités permettant de créer des programmes de formation axés sur le transfert des connaissances, de les diffuser de manière agile à des groupes de participants, et de mesurer les apprentissages et les progrès dans le temps. Un algorithme de "Machine Learning" est utilisé pour personnaliser les parcours d'apprentissage de chaque apprenant. L'intelligence Artificielle permet de prédire le niveau de réussite d'un apprenant et ensuite de proposer les meilleures activités de formation pour améliorer sa performance. B12 permet de créer des parcours de formation axés sur le transfert des connaissances, ensuite de les diffuser aux apprenants, et ensuite mesurer leur performance selon une variété d'indicateurs. En éducation, B12 est utilisé par les intervenants entre autres pour le perfectionnement du français, l'étude en prévision d'examens, et pour des parcours en santé mentale pour les jeunes. Apprentx a développé B12 dans le soucis d'offrir un outil facile d'utilisation qui permet de faire des suivi post-formation efficaces, basés sur les sciences cognitives. Les gestionnaires de programme de formation, les enseignants dans les écoles, les conseillers technopédagogiques. Projets pilotes pour démontrer rapidement les avantages de l'utilisation de B12, accompagnement par l'équipe de concepteurs pédagogiques de Apprentx pour la conception, le déploiement et l'analyse des données. Avec nos clients et nos projets complétés et en cours, nous avons pu constater comment B12 permet de déployer des formations de façon agile, et ensuite recueillir des données précieuses sur une panoplie d'indicateurs-clés de performance. Car nous mesurons non seulement le taux de réussite aux exercices, mais aussi le niveau de confiance des apprenants pour tous les sujets-clés de la formation, ainsi que le taux de performance dans des activités pratiques. Nous mesurons ces données pour les différents sujets et nous les mesurons dans le temps, ce qui permet de déceller les besoins de formation sous-jacents aux groupes. Ainsi, des interventions ciblées sont possibles sur la base des données colligées dans B12. Par exemple, un faible niveau de confiance pour un sujet spécifique par rapport à un bon taux de réussite indique que des activités de coaching ou d'accompagnement sont peut-être nécessaire pour accompagner ces personnes. n/a n/a n/a
LightSide http://ankara.lti.cs.cmu.edu/side/ Free 5000 Forbes Avenue, Pittsburgh, PA 15213 Academic - School Researchers Analytics 0 Carnegie Mellon University LightSIDE is a free and open text mining toolbench, which is used both for teaching and for research. It provides a convenient GUI environment for novice users of text classification technology easily run text extraction and classification experiments. Machine learning algorightms that can learn to extract features based on training examples entered by humans Text mining toolbench used for teaching and for research N/A Text mining toolbench, freely available for research and education N/A Mayfield, E. et Rosé, C. P. (2013). LightSIDE: Open Source Machine Learning for Text Accessible to Non-Experts, Invited chapter in the Handbook of Automated Essay Grading, Routledge Academic Press.
Kaligo https://www.kaligo-apps.com/fr/ Paid France 2018 Academic - School Primary (6-11 years old) Analytics 0 Learn&Go, INSA-IRISA, Université de Rennes 2, LP3C et UR1-IRISA, France Kaligo is a tablet application designed to help students learn to write. Real-time analysis of writing quality to show students their mistakes and personalize exercises to their level Learning to write N/A Supplements traditional learning methods with exercises on a tablet, with and without a stylus. Offers differentiated learning paths and remediation based on an automatic analysis of students' writing. N/A Bonneton-Botté, N., Fleury, S., Girard, N., Le Magadou, M., Cherbonnier, A., Renault, M., ... et Jamet, E. (2020). Can tablet apps support the learning of handwriting? An investigation of learning outcomes in kindergarten classroom. Computers & Education, 151, 103831
Kaligo DYS https://kaligo-dys.com/ Paid France 2020 Commercial Preschool (0-5 years), Primary (6-11 years old) and Learners with special needs Analytics 0 Learn&Go, INSA-IRISA, Université de Rennes 2, LP3C et UR1-IRISA The Kaligo DYS project offers an application to learn writing (especially graphomotor skills) for children with dysgraphia. Real-time analysis of writing quality to show students their mistakes and personalize exercises to their level Learning to write N/A Supplements traditional learning methods with exercises on a tablet, with and without a stylus. Offers differentiated learning paths and remediation based on an automatic analysis of students' writing. N/A
Jenyai https://jenyai.com/ Paid 169 11th St, San Francisco, CA 94103, USA 2018 Commercial Primary (6-11 years old), Secondary (12-17 years old) and Learners with special needs Natural language processing and Analytics 0 Snipfeed Inc. Jenyai is an intelligent and personalized private tutor. Driven by AI, it is students' assistant and friend. Jenyai answers their questions and provide them with the right personalized content at the right moment (videos, cards, exercises...). AI tutor to answer students questions, to provide them with the right personalized content at the right moment. Answering pupils questions N/A Personalized content, Immediate answers to student questions Subscription fee: $ 9.97 per month
Crystal Island http://projects.intellimedia.ncsu.edu/crystalisland/ Free North carolina state university, Raleigh, NC 27695, USA Academic - School Post-secondary (18 years and over) and Teachers Analytics 4,000 North carolina state university Crystal Island is a game-based learning environment for middle grade science and literacy. In the game, students play the role of a medical field detective investigating a mysterious infectious disease outbreak affecting a team of scientists on a remote island. While exploring the island research camp from an immersive first-person viewpoint, students utilize critical thinking skills to solve problems about the source and impact of the outbreak, test hypotheses using virtual laboratory equipment, and complete a diagnosis worksheet to record their findings. AI techniques to create an intelligent game-based learning environment, to provide automated supportive feedback, to build AI-driven autonomous non-player characters (companion agents) Learning science and language arts N/A Motivating and engaging context for students to solve a scientific problem, Develop the ability to interpret complex information texts. complete classroom instruction, test bench for researching intelligent tutoring systems, Free. N/A http://projects.intellimedia.ncsu.edu/crystalisland/publications
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.
Korbit https://korbit.ai/ Free Suite 304, 5555 Avenue de Gaspe, Montreal, QC H2T 2A3, Canada Commercial General public and Learners with special needs Natural language processing and Expert systems 0 Technologies Korbit Inc Korbit is a personalized learning platform that teaches you data science skills with AI. The learner creates their own personalized program based on their prior knowledge, relevant concepts and learns with their personal smart tutor, Korbi. AI to guide the learner in their learning, Answers the learner's questions. Learning data science N/A Personalized, interactive online course, Ask questions and solve problems with a smart tutor, Free. N/A
Realizeit http://realizeitlearning.com/ Paid Dublin (Ireland) 2007 Commercial Post-secondary (18 years and over) and Teachers Analytics 1,000,000 David Collery, Frank Claffey, John Keane, John Keane Realizeit is an intelligent and adaptive web based learning system that allows instructors to create custom, personalized learning experinces that improve student engagement and performance. Adaptive learning, personalized comments for each learner N/A Courses customized for instructors, Personalized learning for students, Real-time insights into the progress of individual students, Auto-graded assignments and immediate, personalized feedback provided for every student. N/A Dziuban, C. D., Moskal, P. D., Cassisi, J., & Fawcett, A. (2016). Adaptive Learning in Psychology: Wayfinding in the Digital Age. Online Learning, 20(3), 74-96.
Socrative https://socrative.com/ Free features 10113 104 St NW #403, Edmonton, Canada Commercial Primary (6-11 years old), Secondary (12-17 years old), Post-secondary (18 years and over) and Teachers Analytics 3,000,000 Showbie Inc. Socrative is a platform that teachers can use to create formative assessments with multiple choice, open-ended or closed questions. Teachers can review learner understanding at the class, learner or question level. Automatic assessment of learner responses Creating formative assessments N/A Creation of personalized activities, Quizzes are evaluated automatically in real time, Immediate feedback on the quiz, Free for learners Free for learners, but $59.99 per year for elementary and high schools, $99.99 per year for higher education institutions and businesses Faya Cerqueiro, F., & Martín-Macho Harrison, A. (2019). Socrative in Higher Education: Game vs. Other Uses. Multimodal Technologies and Interaction, 3(3), 49.
Bitsboard http://bitsboard.com/bitsboard-classes Free features Vancouver, BC, Canada 2013 Commercial Preschool (0-5 years), Primary (6-11 years old) and Learners with special needs Analytics 3,000,000 Happy Moose Apps This app offers a variety of learning tools and games in hundreds of topics. Users can learn a language, master vocabulary words, learn to read, improve spelling and more. It’s customizable and tracks answers so users can easily see what they’ve mastered so far and what they need to work on more. The Bitsboard learning algorithm personalizes games based on the individual player’s skill and knows when the user is ready to move on to the next challenge. Adaptive learning, The Bitsboard learning algorithm personalizes games based on the individual player’s skill and knows when the user is ready to move on to the next challenge. Language learning N/A Create your own lessons, track user progress, and share everything online. Price
Oto https://www.oyalabs.com/ Paid San Francisco (USA) Commercial Preschool (0-5 years) and Learners with special needs Natural language processing and Analytics 0 Oyalabs Oto is an IoT(internet of things) software and hardware platform that monitors the brain and language development of a child and gives parents personalised and evidence-based tips to maximise their child's potential. Natural Language Processing technology to analyse the quality of a child's play interactions, including how many words they hear and how engaged they are in the learning process. Monitoring and improving child's early cognitive development N/A Des conseils personnalisés pour maximiser le potentiel d'un enfant, Recommandations personnalisées d'activités et de livres avec lesquels vous pouvez engager votre enfant, Suivre les progrès d'un enfant, Predicting a child's IQ and school readiness. s.o.
Byju’s https://byjus.com Free features Bengaluru (India) 2015 Commercial Preschool (0-5 years), Primary (6-11 years old) and Secondary (12-17 years old) Analytics 42,000,000 Byju Raveendran Byju's is a learning app that offers video lessons and personalized learning journeys mapped to the student's grade & syllabus. Adaptive learning Science and mathematics learning N/A Personalized learning journeys, Adaptive questions as per the relevant syllabus, Adaptive & interactive tests. The amount of the fees depends on the course or test. Sruthi, P., & Mukherjee, S. Byju’s The Learning App: An Investigative Study On The Transformation From Traditional Learning To Technology Based Personalized Learning.
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.
Dytective https://www.changedyslexia.org/en Free Carrer del Dr. Trueta, 183, 08005 Barcelona, Espagne Academic - School Preschool (0-5 years), Primary (6-11 years old) and Learners with special needs Analytics 270,000 Change Dyslexia Dytective is a tool that can detect dyslexia in about 15 minutes. It also provides exercises in the form of games for dyslexic learners to help them overcome their writing and reading challenges. The app includes a mix of online testing and applications for associated predictive machine learning. Machine learning models to predict reading and writing difficulties by watching how people interact with a linguistic web-based game. Detecting dyslexia and helping dyslexic learners overcome their challenges N/A Detects dyslexia, Helps learners overcome their writing and reading challenges. N/A Rello, L., Ballesteros, M., Ali, A., Serra, M., Alarcón, D., & Bigham, J. P. (2016). Dytective: Diagnosing risk of dyslexia with a game. Proc. Pervasive Health, 16.
Lexplore https://www.lexplore.com/ Paid c/o Stayaround Fleminggatan 20 5 tr 112 26 Stockholm (SE) 2016 Commercial Primary (6-11 years old), Teachers and Learners with special needs Visual recognition and Analytics 0 Karolinska Institutet, Mattias Nilsson Benfatto et Gustaf Öqvist Seimyr Innovative speed reading assessment that uses eye tracking and AI. In just 3 minutes, diagnoses a student's reading level and gives recommendations for teaching. With eye tracking, Lexplore also provides data on fluency for silent reading. Analysis of eye movement during reading (eye tracking). Observations relayed to a database in real time. The information gathered is analyzed (IA) based on thousands of recorded eye movements and a battery of other tests. Reading assessment N/A Easy diagnosis Languages ​​assessed (english and swedish)
EER-Tutor https://ictg.cosc.canterbury.ac.nz:8005/eer-tutor/login Free Christchurch, New Zealand Academic - School Post-secondary (18 years and over) Natural language processing and Analytics 0 Intelligent Computer Tutoring Group, University of Canterbury EER-Tutor is a constraint-based tutor that teaches conceptual database design using the Entity Relationship model. Students are provided a problem solving environment to design a data model for a real world scenario. Adaptive tutorial dialogues facilitate discussion of mistakes in a student solution. Natural language processing, Machine learning to discover commonly occurring learning behaviours, Adaptive tutorial dialogues. Teaching conceptual database design using the Entity Relationship model N/A Adaptive tutorial dialogues, higher learning rate N/A