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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
iSTART https://www.adaptiveliteracy.com/istart Free Payne Hall 108, 1000 S. Forest Mall, Tempe, AZ 85287-2111, USA Academic - School Secondary (12-17 years old), Teachers and Researchers Natural language processing and Analytics 0 SoLET Lab, Arizona State University iSTART is an intelligent tutoring system that teaches self-explanation (ability to explain information from texts to yourself) strategies through a series of videos and game-based practice exercises. After submitting a self-explanation, students receive formative feedback that rates their self-explanation. Natural Language Processing (NLP) to enable students to use their own thoughts and ideas to communicate with the system, and to drive feedback and adaptive interactions during practice. Teaching self-explanation strategies N/A Improve understanding of scientific texts, increase motivation to learn and maintain commitment, Free N/A Jackson, T., Boonthum-Denecke, C., & McNamara, D. (2015). Natural language processing and game-based practice in iSTART. Journal of Interactive Learning Research, 26(2), 189-208.
Acrobatiq http://acrobatiq.com Free 701 Sutter Street, 6th Floor San Francisco, CA 94109 (USA) 2013 Academic - School Post-secondary (18 years and over) and Teachers Analytics 0 Carnegie Mellon University Acrobatiq is a learning and data analytics platform that enables institutions to deliver a more personalized learning experience to students, and real-time actionable insights about who needs help and where to faculty, course mentors and others involved in the learning process. Adaptive learning, Giving instructors real-time insight into how their students are performing. N/A Personalized, adaptive learning for every student, Real-time actionable insights about who needs help and where. N/A Joo, J. et Spies R. R. (2019). Aligning Many Campuses and Instructors around a Common Adaptive Learning Courseware in Introductory Statistics Lessons from a Multi-Year Pilot in Maryland. ITHAKA SR
Alloprof https://www.alloprof.qc.ca Free Canada 1996 Academic - School Primary (6-11 years old), Secondary (12-17 years old), Teachers and Other education actors Analytics 0 Alloprof Alloprof engages Quebec students and their parents in educational success by offering them free professional and stimulating academic support. Tools that save students time and help them succeed with homework and lessons include videos, pedagogic sheets, texting, exam preparation tips and advice, and interactive exercises. Through the integration of an artificial intelligence of the type chatbot, the immersive game 'Spellers' allows players to improve their writing skills in English. AI to maintain a personalized relationship with learners, Immersive game to help students learn English as a second language. Helping students with homework and fostering learning N/A Helping students with homework , Fostering and gamifying learning, motivating students, Equipping parents. N/A Karsenti, T. (2015). Quel est le rôle d’Allô prof dans la persévérance et la réussite scolaires des élèves? Étude auprès de 6659 acteurs scolaires (élèves, enseignants, directions et parents). Rapport synthèse de recherche. Montréal, QC : CRIFPE. Tanguay, M. A. (2017). Stratégie numérique : Pour mieux engager l’élève et les acteurs de l’éducation. Alloprof. URL: blogue.alloprof.qc.ca/wp-content/uploads/2017/02/AP_memoire_Strategie_numerique_vf-4.pdf
UTIFEN https://www.utifen.org Free Niamey (Niger) 2016 Academic - School Teachers Analytics 24,000 Chaire de recherche du Canada sur les technologies de l'information et de la communication (TIC) UTIFEN is a smart, adaptive online training platform. It adapts learning materials and sends personalized text messages based on each participant’s progress. Personalized teacher training (using computer, tablet or phone), collaboration between participants. N/A Adaptive learning. Adapts learning materials. Personalized text messages. N/A Karsenti, T. et al. Le projet UTIFEN, pour la formation des enseignants du Niger. Bulletin de liaison RIFEFF (2018)
Microsoft cortana https://www.microsoft.com/en-us/cortana Paid USA 2014 Commercial General public, Secondary (12-17 years old), Post-secondary (18 years and over), Teachers and Learners with special needs Natural language processing and Speech Recognition 0 Microsoft Cortana is a virtual assistant. Speech recognition Virtual assistant N/A Quick access to information N/A Kepuska, V., & Bohouta, G. (2018, January). Next-generation of virtual personal assistants (microsoft cortana, apple siri, amazon alexa and google home). In 2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC) (pp. 99-103). IEEE.
Apple Siri https://www.apple.com/ca/siri/ Paid USA 2011 Commercial General public, Secondary (12-17 years old), Post-secondary (18 years and over), Teachers and Learners with special needs Natural language processing and Speech Recognition 0 Apple Siri is a virtual assistant. For some students, typing can be a challenge. Siri, Apple’s built-in personal assistant, can help students do the things they do every day — just by asking. They can say “Remind me to turn in my history paper Friday” or “Text Mom I’m staying after school.” Siri can help students who struggle with organization by scheduling activities and setting reminders. And Siri is integrated with VoiceOver — an advanced screen reader — so blind and low-vision students can ask where the nearest music store is, and hear the answer read out loud. Speech recognition N/A Quick access to information N/A Kepuska, V., & Bohouta, G. (2018, January). Next-generation of virtual personal assistants (microsoft cortana, apple siri, amazon alexa and google home). In 2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC) (pp. 99-103). IEEE.
Google Home https://assistant.google.com/intl/fr_ca/ Paid USA 2016 Commercial General public, Secondary (12-17 years old), Post-secondary (18 years and over), Teachers and Learners with special needs Natural language processing and Speech Recognition 0 Google Google Home is a series of speakers that are connected to a virtual personal assistant. This assistant is generally used at home, but why not use it in class? It can answer questions, give definitions, translate words, give reminders, etc., and is a quick way to provide struggling students with information. Voice recognition, Assistant N/A Quick access to information N/A Kepuska, V., & Bohouta, G. (2018, January). Next-generation of virtual personal assistants (microsoft cortana, apple siri, amazon alexa and google home). In 2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC) (pp. 99-103). IEEE.
Rosetta Stone https://www.rosettastone.com Paid Arlington (USA) 1992 Commercial General public Speech Recognition and Analytics 0 Rosetta Stone Inc. Rosetta Stone is a computer-assisted language learning software. It uses pictures, texts and sounds to teach words and grammar by spaced repetition, without translations. Automatic learning to identify objects for live translations, Speech recognition to help users match their pronunciation of words to that of native speakers. Learning language N/A Immediate result of the exercise, Immediate pronunciation feedback, Huge collection of content. Rosetta Stone costs $79 for three months, $119 for six months, $179 for one year, or $249 for two years. Kirova, S. (2011). Rosetta Stone software–an interactive educational tool for learning foreign languages.
leafsnap https://blog.library.tc.columbia.edu/b/14693-Leafsnap Free USA 2011 Commercial General public Visual recognition 0 Columbia University, University of Maryland, Smithsonian Institution Leafsnap is a mobile application that uses visual recognition software to identify tree species from photographs of their leaves. Visual recognition. Learning new tree species. Identifying tree species N/A Automatically identifies tree species from photographs of their leaves. Helps students notice, categorize and contextualize street trees in models of evolution. Free Currently for iPhone and iPad only Kumar, N., Belhumeur, P. N., Biswas, A., Jacobs, D. W., Kress, W. J., Lopez, I. C., & Soares, J. V. (2012, October). Leafsnap: A computer vision system for automatic plant species identification. In European conference on computer vision (pp. 502-516). Springer, Berlin, Heidelberg.
Choosito! https://www.choosito.com/ Free features University City Science Center, 3401 Market St., Philadelphia,PA 19104, USA Commercial Primary (6-11 years old), Secondary (12-17 years old) and Post-secondary (18 years and over) Natural language processing and Analytics 0 Choosito! Inc. Choosito is a smart search engine that safely searches the web for resources based on your students' reading level! Machine learning, language processing smart search engine N/A Custom search Limited free version, premium $ 50 / class Kynigou, P., et Sarantes, H. (2016). Setting the Stage for i2Flex: The View from the Elementary School. Dans Revolutionizing K-12 Blended Learning through the i²Flex Classroom Model (pp. 190-207). IGI Global.
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.
Dragonbox https://dragonbox.com/ Paid Oslo, Norvège 2012 Commercial Primary (6-11 years old) and Learners with special needs Analytics 0 dragonbox Applications to work on mathematics. The apps are for kids age 5 and up to practise algebra, numbers, big numbers, chess and geometry through math games. Interaction and feedback in the app. Serious game Learning mathematics N/A Personalized learning From C$5 to C$8 Lee, S. J., Liu, Y. E., & Popovic, Z. (2014, July). Learning individual behavior in an educational game: a data-driven approach. In Educational Data Mining 2014
Riiid https://www.riiid.co/en/main Paid 10th floor M-Tower Teheranro 87 Gang-namgu, Seoul, Corée du Sud 2014 Commercial General public Analytics 0 Riiid! Inc. With Riiid's AI technology, individual students gain access to a personalized AI tutor, surpassing human tutors in learning efficiency. Riid incorporated machine-learning algorithms into its program to prepare students for English-language proficiency tests. Machine-learning algorithms to maximize the probability of a student achieving a target score in a given time constraint. English learning N/A Personalized tutor, Quickly increasing TOEIC and SAT scores N/A Lee, Y., Choi, Y., Cho, J., Fabbri, A. R., Loh, H., Hwang, C., ... & Radev, D. (2019). Creating A Neural Pedagogical Agent by Jointly Learning to Review and Assess. arXiv preprint arXiv:1906.10910.
Dreambox https://www.dreambox.com Paid Bellevue (USA) 2006 Commercial Preschool (0-5 years) and Primary (6-11 years old) Analytics 3,000,000 Dreambox Learning Dreambox is an online math program that supplements basic education in the classroom or at home. It dynamically adapts to the learner, delivering personalized instruction. AI engine to provide behaviour analytics, Learning mathematics N/A Personalized teaching, Teacher support with educational data analysis Home license: $12.95 /month per learner. School license: $20 / year per learner Lenard, M. A., & Rhea, A. (2018). Adaptive Math and Student Achievement: Evidence from a Randomized Controlled Trial of DreamBox Learning. Manuskript, Harvard Graduate School of Education, Cambridge, MA.
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).
Smart Learning Partner https://aic-fe.bnu.edu.cn/en/news/95078.html Free The 4th and 5th Floor, Building 3, Beishahe West 3rd Road and Manjing Road Intersection, Beijing Normal University (Changping Campus, G Section), Changping District, Beijing 102206, China Academic - School Post-secondary (18 years and over) Analytics 0 Advanced Innovation Center for Future Education de Beijing Normal University et Tongzhou (district de Beijing) The Smart Learning Partner uses AI technologies to put students more in control of their own learning. The platform uses AI to match students and tutors according to student queries and tutor areas of expertise, together with the tutor’s availability and ratings given to them by other students whom they have already tutored. The student uses the app to search for a tutor, to ask what they want to know about any school topic, and they then receive twenty minutes of one-to-one online tuition (sharing audio and screens only). AI to match students and tutors, recognition of emotions. N/A Find the tutor best suited to the subject Chinese site Lu, Y., Chen, C., Chen, P., Chen, X., & Zhuang, Z. (2018, June). Smart learning partner: an interactive robot for education. In International Conference on Artificial Intelligence in Education (pp. 447-451). Springer, Cham.
SimStudent http://www.simstudent.org/project Free 5000 Forbes Ave, Pittsburgh, PA 15213, USA Academic - School Post-secondary (18 years and over), Teachers and Researchers Natural language processing 0 Carnegie Mellon University SimStudent is an artificial intelligent agent that is able to learn procedural skills by observing user’s input examples. There are three main uses of SimStudent: (1) As it is well known that students learn by teaching others, we can build an on-line learning environment where SimStudent acts as a peer tutoree and have human students tutor SimStudent; (2) SimStudents can be used as simulated students with which researchers can conduct various controlled studies to explore theories of learning; (3) Use of SimStudent within the Cognitive Tutor Authoring Tools (CTAT) allows authors to build a Cognitive Tutor simply by teaching SimStudent how to solve problems. SimStudent is an artificial intelligent agent Computational model of human learning N/A Teachable by learner, Computational model of Learning, Building Intelligent tutors. N/A Matsuda, N., Yarzebinski, E., Keiser, V., Raizada, R., Stylianides, G. J., Cohen, W. W., & Koedinger, K. R. (2011, June). Learning by teaching SimStudent–An initial classroom baseline study comparing with Cognitive Tutor. In International Conference on Artificial Intelligence in Education (pp. 213-221). Springer, Berlin, Heidelberg.
SmartTutor https://www.smarttutor.com/ Paid 3045 Center Ave, Fort Lauderdale, FL 33308, USA 2000 Commercial Preschool (0-5 years), Primary (6-11 years old) and Learners with special needs Analytics 0 SmartTutor, LLC. SmartTutor is a convenient, online, personalized K-5 education program that helps children build fundamental reading and math skills in a meaningful and motivating way. Smart Tutor’s adaptive, online placement exam initially assesses a child’s strengths and weaknesses and automatically creates an individualized learning program tailored to the child’s unique educational needs. It is perfect for homeschool, afterschool, and summer use. AI for an adaptive and individualized learning program. To acquire fundamental skills in reading and mathematics N/A Motivate children to learn, Offer engaging educational games and stories, Immediate and specific feedback. Price: $ 13.99 / month for one child and $ 8.99 / month for each additional child Matsuda, N., Yarzebinski, E., Keiser, V., Raizada, R., Stylianides, G. J., Cohen, W. W., & Koedinger, K. R. (2011, June). Learning by teaching SimStudent–An initial classroom baseline study comparing with Cognitive Tutor. In International Conference on Artificial Intelligence in Education (pp. 213-221). Springer, Berlin, Heidelberg.
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.
Civitas Learning https://www.civitaslearning.com Paid Austin (USA) 2011 Commercial Post-secondary (18 years and over) Analytics 8,000,000 Charles Thornburgh, Laura Malcolm et Mark Milliron Civitas Learning’s student success intelligence platform helps colleges and universities harness the power of their student data to improve outcomes. Adaptive learning N/A Automated identification of actionable knowledge points, custom predictive models. N/A Milliron, M., Kil, D., Malcolm, L., & Gee, G. (2017). From innovation to impact: How higher education can evaluate innovation's impact and more precisely scale student support. Planning for Higher Education, 45(4), 125-136.
FUN MOOC https://www.fun-mooc.fr/ Free 12 VLA DE LOURCINE 75014 PARIS 2013 Academic - School General public and Post-secondary (18 years and over) Analytics 1,700,000 Le ministère de l'enseignement supérieur et de la recherche français, INRIA, CINES et RENATER FUN MOOC is a platform designed to promote the use of massive open online courses (MOOCs). More than 130 MOOC and SPOC production partners in France and around the world share their trainings via this platform. Machine learning, Adaptive learning and assessment Teaching massive open online courses (MOOCs) N/A Online learning, Reduces cost, location and access barriers, Many partner schools and universities, Open courses. N/A Mongenet, C. (2016). FUN, une plate-forme de MOOCs au service des établissements d’enseignement supérieur. Annales des Mines - Réalités industrielles, mai 2016(2), 42-47. doi:10.3917/rindu1.162.0042.