AI mapping – Resources

Name	URL	Cost	Address	Year Created	Type	Audiences	Technologies	User count	Creators	Description	Tech Description	Uses	Reasons	Pros	Limitations	Publications
Assistments	https://new.assistments.org/	Free	Worcester, Massachusetts (USA)	2003	Academic - School	Secondary (12-17 years old), Teachers and Learners with special needs	Expert systems and Analytics	0	ASSISTments	Assistments is a platform that helps teachers create homework, supports students with immediate feedback and advice, and provides teachers with student performance analyses, suggesting where to focus their teaching time.	AI to identify concepts that should be gone over again by the teacher.	Learning mathematics	N/A	Immediate feedback on homework, analysis of student performance. Free.	Appropriation of the tool. Connection with Google Classroom or Canvas.	Roschelle, J., Feng, M., Murphy, R. F., et Mason, C. A. (2016). Online mathematics homework increases student achievement. AERA Open, 2(4), 2332858416673968.
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).
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.
Kialo Edu	https://www.kialo-edu.com/	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.
Khan Academy analytics	https://www.khanacademy.org/	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.	http://david-hu.com/2011/11/02/how-khan-academy-is-using-machine-learning-to-assess-student-mastery.html
Apereo Open Learning Analytics Platform	https://www.apereo.org/projects/learning-analytics-processor	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).
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)
Jill Watson	https://www.cc.gatech.edu/holiday/jill-watson	Free	Atlanta (USA)	2015	Academic - School	Post-secondary (18 years and over) and Teachers	Natural language processing	0	Ashok Goel (Georgia Tech, College of Computing)	Jill Watson is an AI teaching assistant that answers student questions in the online Knowledge-Based Artificial Intelligence course 24 hours a day.	Semantic processing, Automatically answers a range of common, frequently asked questions, Automatically responds to student presentations.	Knowledge-Based Artificial Intelligence online course	N/A	Immediately answers questions from students, Motivates and engages students, Posts announcements, Lets the teacher concentrate on important tasks.	May give incorrect answers to infrequent questions.	Benedetto, L., Cremonesi, P., & Parenti, M. (2019). A virtual teaching assistant for personalized learning. arXiv preprint arXiv:1902.09289.
Rubi	https://rubi.ucsd.edu	Free	San Diego (USA)	2004	Academic - School	Preschool (0-5 years)	Visual recognition and Robotics	0	University of California	The goal of the Rubi project is to explore the potential of sociable robots as an educational and enrichment tool for toddlers in early childhood education environments. Students can play with the robot; the robot can ask questions and smile, its cameras can identify each child's face and tell when they’re feeling happy, sad, angry or frustrated.		Recognizes facial expressions, Identifies each child’s face, identifies their emotions (joy, sadness, anger, frustration), Predicts children's preferences for different activities.	N/A	Plays with children, Identifies children's emotions, Predicts children's preferences.	N/A	https://rubi.ucsd.edu/publications
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
Jules	https://devoirsfaits.cned.fr/presentation	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
Writing Pal	http://www.adaptiveliteracy.com/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.
Kaspar	http://www.herts.ac.uk/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.
RoboTutor	https://www.cmu.edu/scs/robotutor/what-is-robotutor/index.html	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.
iTuffy	http://www.fullerton.edu/it/services/ituffy/index.php	Free	California State University, Fullerton 800 N. State College Blvd. Fullerton, CA 92831-3599. USA		Academic - School	Post-secondary (18 years and over)	Natural language processing	0	California State University	iTuffy is an application used at California State University that allows students to ask questions about services on campus in a conversational format. Using student information stored in a variety of data warehouses, iTuffy is able to show student grades, display their current schedule, provide directions, operating hours for campus offices and services, and help students enroll in classes.	Processing natural language to answer students questions, Speech to text & text to speech conversions, Machine learning to learn from asked questions to improve accuracy.	Chatbot answering student questions about campus services	N/A	Improve the campus experience, Immediate response.	N/A
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.
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.
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).
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
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.

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