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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
OU Analyse 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.
Jules Free BP 60200 86980 Futuroscope Chasseneuil Cedex France 2019 Academic - School Secondary (12-17 years old) and Learners with special needs Natural language processing and Analytics 0 CNED (à la demande du ministère de l'éducation nationale et de la jeunesse) Jules is an intelligent chatbot for French students that answers their questions while they’re doing their homework. Chatbot, Suggests personalized content. Help with homework N/A Homework help for students. Quick, concise responses. Suggests personalized content. Free. N/A
First Class 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
EER-Tutor 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
Mathia Free France 2019 Academic - School Primary (6-11 years old) and Learners with special needs Natural language processing, Speech Recognition and Analytics 0 Prof en poche, Tralalere, LumenAI et Cabrilog Mathia is a smart 3D voice assistant. It lets teachers monitor their students’ progress and offer personalized lessons. Data analysis, creation of personalized paths, voice assistant and visualization tools Smart mathematics educational assistant N/A Personalized paths, monitors student progress N/A
Kialo Edu Free USA 2017 Academic - School Post-secondary (18 years and over) Natural language processing and Analytics 0 Kialo An online debate platform with an easy-to-navigate arrangement of the various arguments. Students can put a question to debate, add arguments, respond to other students, and vote on the relevance of previous responses. Analysis of arguments, identifying trolls N/A Makes arguments easier to understand. N/A Beck, J., Neupane, B., et Carroll, J. M. (2018). Managing Conflict in Online Debate Communities: Foregrounding Moderators' Beliefs and Values on Kialo.
Writing Pal Free Payne Hall 108, 1000 S. Forest Mall, Tempe, AZ 85287, US Academic - School Teachers Visual recognition and Analytics 0 SoLET Lab à Arizona State University Writing Pal is a web-based software tool developed to provide a means of automatically scoring essays in the same way as a teacher might while also providing writing strategy instruction, game-based practice and individualized formative feedback to help students improve their writing proficiency. Learning English (Writing) N/A Receive a score and formative feedback, assistant N/A Roscoe, R. D., Allen, L. K., Weston, J. L., Crossley, S. A., & McNamara, D. S. (2014). The Writing Pal intelligent tutoring system: Usability testing and development. Computers and Composition, 34, 39-59.
Summit Learning 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
FUN MOOC 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.
Navi Free France 2020 Academic - School Primary (6-11 years old) and Learners with special needs Analytics 0 DOMOSCIO, BENEYLu, HACHETTE, DXC, AIDODYS, Laboratoire CHArt, Laboratoire KDIS, MOBIDYS, STORYPLAYR An ingenious assistant for teaching reading and writing. Navi recommends reading and writing activities tailored to the needs of your students in Cycle 2 [of the French school system] based on the learning traces you give them. Organization and characterization of educational content, personalization of student learning and memorization experiences, data partitioning (clustering) Learning to read and write N/A Assists teachers and gives them more time for remedial instruction. Personalized learning N/A
Khan Academy analytics Free USA 2011 Academic - School Preschool (0-5 years), Primary (6-11 years old) and Secondary (12-17 years old) Analytics 0 David Hu Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. With Khan Academy, teachers can identify gaps in their students' understanding, tailor instruction, and meet individual student needs. S.O. Adaptive learning S.O.
Kaspar Free University of Hertfordshire, Hatfield, Hertfordshire, AL10 9AB, UK 2005 Academic - School Preschool (0-5 years), Primary (6-11 years old) and Learners with special needs Robotics 0 University of Hertfordshire Kaspar is a humanoid robot that acts as a social companion to improve the lives of children with autism and other communication difficulties. By interacting and behaving in a child-like way, Kaspar helps teachers and parents support children with autism to overcome the challenges they face in socialising and communicating with others. Helping autistic children N/A Improve communication, interpersonal skills and emotional well-being. Teach children with autism about physical interactions. Facilitate collaborative play between autistic children. Help teachers and parents support children with autism. N/A Huijnen, C. A., Lexis, M. A., & de Witte, L. P. (2016). Matching robot KASPAR to autism spectrum disorder (ASD) therapy and educational goals. International Journal of Social Robotics, 8(4), 445-455.
AutoTutor 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.
TeachLivE Free 12494 University Blvd., Orlando, FL 32816, USA 2013 Academic - School Post-secondary (18 years and over) and Teachers Natural language processing, Speech Recognition and Analytics 0 UCF Center for Research in Education Simulation Technology TLE TeachLivE™ is a mixed-reality classroom with simulated students that provides teachers the opportunity to develop their pedagogical practice in a safe environment that doesn’t place real students at risk. Experiential learning, avatar-based characters, mimic human nuances, voice, vocabulary, gestures Teacher training N/A Teachers can learn the instruction and management skills, Practicing teachers can hone and refine their skills, Examining how participants’ respond to a changing classroom environment, Experimenting with a new teaching idea poses no danger to the learning of any real student N/A Dieker, L. A., Rodriguez, J. A., Lignugaris/Kraft, B., Hynes, M. C., et Hughes, C. E. (2014). The potential of simulated environments in teacher education: Current and future possibilities. Teacher Education and Special Education, 37(1), 21-33.
Adaptiv'Math Free France 2020 Academic - School Primary (6-11 years old) and Learners with special needs Analytics 0 EVIDENCEBAPMEP, BLUE FROG,ROBOTICS,DAESIGN,INRIA,FLOWERS,ISOGRAD, LIP 6,SCHOOLAB, SJER, NATHAN Adaptiv'Math gives school teachers a unique approach, combining new elements of cognitive explanations for foundation learning with an AI engine. The strength of this AI engine is that it assigns a series of exercises to each student in an increasingly personalized manner. Data analysis, group organization, personalized learning Learning mathematics N/A Remediation approach, feedback for students and teachers, evaluation assistance, differentiated teaching, signal detection N/A
Apereo Open Learning Analytics Platform Free USA 2015 Academic - School Post-secondary (18 years and over), Teachers and Researchers Analytics 0 Apereo Foundation and Society for Learning Analytics Research (SoLAR) Learning Analytics Processor is a project that aims to accelerate the future of predictive learning analytics by developing a flexible and highly scalable tool. A powerful big data tool, a library of open source predictive models can be shared in higher education at no cost so institutions can work together to improve these models over time. Analyze student learning. N/A Better monitoring of students. Personalized learning. N/A Flanagan, B., & Ogata, H. (2017, November). Integration of learning analytics research and production systems while protecting privacy. In The 25th International Conference on Computers in Education, Christchurch, New Zealand (pp. 333-338).
RoboTutor Free CMU-RI-NSH 3113, 5000 Forbes Avenue Pittsburgh, PA 15213, USA 2015 Academic - School Primary (6-11 years old) and Learners with special needs Natural language processing, Visual recognition and Speech Recognition 0 Carnegie Mellon University RoboTutor is an open-source Android tablet app that enables children ages 7-10 with little or no access to schools to learn basic reading, writing, and arithmetic without adult assistance. Each RoboTutor session consists of a series of activities selected by the child from a few reading, comprehension, or numeracy activities at his or her current level, with a sequence of items for the child to perform. RoboTutor adapts to each child by assessing performance automatically, providing individualized help and feedback, adjusting its estimate of his or her level, and proceeding accordingly. It was one of five $1M Finalists in the $15M Global Learning XPRIZE competition. Speech and handwriting recognition, Automated question generation, Educational data mining. learning reading, writing and basic arithmetic without the help of an adult. N/A Practicing with scaffolding and feedback, Eliciting active processing, Adapting to individual student, Open source. N/A Saxena, M., Pillai, R. K., & Mostow, J. (2018, April). Relating Children’s Automatically Detected Facial Expressions to Their Behavior in RoboTutor. In Thirty-Second AAAI Conference on Artificial Intelligence.
iTalk2Learn 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
SimStudent 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.
Smart enseigno Free Educlever PARIS, 59 rue Benoit Malon, 94250 Gentilly, France 2019 Academic - School Primary (6-11 years old) Analytics 0 EDUCLEVER, CABRILOG, INRIA WIMMICS, LUDOTIC A rich, evolving body of mathematical resources for CP, CE1 and CE2 classes [in the French school system], SmartEnseigno offers students a range of learning activities reflective of their needs (adaptive learning). The teacher has a dedicated digital assistant (smart dashboard). Adaptive learning, smart dashboard, expert system, reasoner, machine learning Learning mathematics N/A Personalized learning, student monitoring N/A
UTIFEN 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)