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 |
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. |
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AI to identify concepts that should be gone over again by the teacher. |
Learning mathematics |
N/A |
|
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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. |
BetterMarks |
https://bettermarks.com/ |
Paid |
bettermarks GmbH, Skalitzer Straße 85-86, 10997 Berlin (DE) |
2008 |
Commercial |
Primary (6-11 years old), Secondary (12-17 years old) and Teachers |
Expert systems and Analytics |
0 |
Bettermarks |
Platform designed to improve the math skills of kids ages 10 to 16. The student does the exercises on the platform and receives feedback for incorrect answers. Platform adapts to the student's understanding of the various mathematical concepts. |
|
System adapts to student’s level |
Facilitates personalized learning. |
N/A |
|
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Adaptive learning |
N/A |
|
Scharnagl, S., Evanschitzky, P., Streb, J., Spitzer, M., et Hille, K. (2014). Sixth Graders Benefit from Educational Software when Learning about Fractions: A Controlled Classroom study. Numeracy: Advancing Education dans Quantitative Literacy, 7(1). |
Bingel |
https://www.bingel.be |
Paid |
Uitgeverij VAN IN
Nijverheidsstraat 92/5
2160 Wommelgem (BE) |
|
Commercial |
Primary (6-11 years old) and Teachers |
Analytics |
0 |
Van in |
Platform offered in two versions: for teachers and for students. For teachers, the platform tells them which subjects are least understood by the students. Digital textbooks are available for students. |
|
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System analyze concepts that are less understood |
N/A |
|
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Personalized learning |
Only in Dutch |
|
De Castro, T. S. P. D. (2017). DIGITAL LITERACY SKILLS AND PRACTICES IN THE EARLY YEARS. |
Conexus |
https://conexus.net/ |
Paid |
Grønland 67, 3045 Drammen, Norway |
2001 |
Commercial |
Teachers and Other education actors |
Analytics |
0 |
Conexus |
Platform gives teachers and principals an overview of the entire student learning process. Conexus collects data on student activity in the learning process, organizes the data and presents it visually. Platform offered in Norwegian. |
|
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Data analysis system for learning |
N/A |
|
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Personalized learning |
Platform in Norwegian |
|
|
Its Learning |
https://itslearning.com/fr/ |
Paid |
Bergen, Norway |
1999 |
Commercial |
Teachers |
Analytics |
0 |
itslearning |
Platform that provides all the necessary resources for teachers to teach online. |
|
|
Offers teachers resources based on their situation. |
N/A |
|
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Selects resources that reflect the teacher's profile. |
N/A |
|
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Metacog |
https://metacog.com |
Paid |
USA |
2018 |
Commercial |
Post-secondary (18 years and over), Teachers and Researchers |
Analytics |
0 |
Metacog Technologies, LLC |
Metacog is a learning analytics, human-computer interface and EDM rooted startup - uniquely leveraging streaming big-data technology to measure an individual’s ability to demonstrate in-demand skills. |
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Metacog is a learning analytics, human-computer interface and EDM rooted startup - uniquely leveraging streaming big-data technology to measure an individual’s ability to demonstrate in-demand skills. The Metacog API data platform supports delivery, analysis, and reporting of authentic, performance-based assessment. Metacog’s trainable machine learning models and real-time data analytics observe the user (learner, candidate, employee) as they work through a digital task, capturing not just their final answers, but also their behavior, process, and problem-solving approaches. |
N/A |
|
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Metacog evaluates HOW people think, and their DEMONSTRATED competencies - not just what they have memorized. Hard to assess skills such as complex problem solving, knowledge synthesis and collaboration are now measurable. |
N/A |
|
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Schoolzilla |
https://schoolzilla.com/ |
Paid |
USA |
2013 |
Commercial |
Teachers |
Analytics |
0 |
Renaissance Learning, Inc. |
Platform that houses all student data for a school: number of days missed, number of detentions, grades, etc. This helps teachers and principals manage the school and their students |
|
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Highlights data identified as important |
N/A |
|
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Makes it easy to monitor students |
N/A |
|
Ziegenhagen, L., et Ruffalo, R. (2016). Using Data-Driven Performance Management to Achieve District Goals. |
Vital Source |
https://www.vitalsource.com/ |
Paid |
USA |
2013 |
Commercial |
Post-secondary (18 years and over) |
Planning |
0 |
VitalSource Technologies LLC |
Platform provides students with the textbooks and notebooks they need |
|
|
Identifies the relevant resources for students |
N/A |
|
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Facilitates personalized learning. |
N/A |
|
Rogers-Estable, M. (2018). Implementation factors and faculty perceptions of electronic textbooks on the iPad. Open Praxis, 10(1), 41-54. |
Desire2Learn |
https://www.d2l.com/ |
Paid |
USA |
2012 |
Commercial |
Post-secondary (18 years and over) |
Analytics |
0 |
D2L Corporation |
Platform for creating an online class, to supplement an in-person class. Users can create online quizzes, online content, etc. Teacher receives feedback on the progress of the whole class and each student. |
|
|
Data analysis |
N/A |
|
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Makes it easy to monitor students and personalize learning |
N/A |
|
Rucker, R. D., et Frass, L. R. (2017). Migrating learning management systems in higher education: faculty members’ perceptions of system usage and training when transitioning from blackboard vista to desire2learn. Journal of Educational Technology Systems, 46(2), 259-277. |
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? |
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|
Data analysis |
N/A |
|
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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 |
|
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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. |
Tribal |
https://www.tribalgroup.com/ |
Paid |
UK |
2014 |
Commercial |
Post-secondary (18 years and over) |
Analytics |
0 |
Tribal |
Platform offers a program of resources and solutions adapted to each school and designed to deliver an educational experience adjusted to the students’ situation. |
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Analyzes the school’s data to arrive at the appropriate solution |
N/A |
|
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Education more reflective of the students’ profile |
N/A |
|
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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. |
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Analysis of arguments, identifying trolls |
N/A |
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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. |
Claned |
https://claned.com/ |
Paid |
Finlande |
2017 |
Commercial |
Post-secondary (18 years and over) and Teachers |
Analytics |
0 |
Claned |
Platform that helps a teacher build a course by making it more interactive and more appearling to students. |
|
|
The platform is based on a high volume of data and adapts to the teacher's situation, based on the data provided. |
N/A |
|
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Facilitates course creation |
N/A |
|
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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. |
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With Khan Academy, teachers can identify gaps in their students' understanding, tailor instruction, and meet individual student needs. |
S.O. |
|
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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. |
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Analyze student learning. |
N/A |
|
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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). |
Duolingo |
https://fr.duolingo.com |
Free features |
Pittsburgh (Etats-Unis) |
2012 |
Commercial |
General public |
Natural language processing, Speech Recognition and Analytics |
500,000,000 |
Duolingo |
Duolingo is an American platform that includes a language-learning website and mobile app, as well as a digital language-proficiency assessment exam. |
|
|
Language learning |
N/A |
|
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Adaptive learning |
N/A |
|
Settles, B., T. LaFlair, G., & Hagiwara, M. (2020). Machine Learning–Driven Language Assessment. Transactions of the Association for Computational Linguistics, 8, 247‑263. https://doi.org/10.1162/tacl_a_00310 |
Kidaptive |
https://www.kidaptive.com |
Paid |
Redwood city (USA) |
2011 |
Commercial |
Preschool (0-5 years) and Primary (6-11 years old) |
Analytics |
0 |
Kidaptive |
Kidaptive is an adaptive learning platform with entertaining and adaptive content for young children. |
|
|
Adaptive learning |
N/A |
|
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Personalized learning, (entertaining) game-based learning, shares relevant knowledge about learning with parents. |
N/A |
|
Verhagen, J., Dalibert, L., Lucivero, F., Timan, T. et Co, L. (2016). Designing values in a adaptive learning platform. 6th International Learning Analytics & Knowledge Conference. Edinburgh, Scotland: ACM Digital Library. |
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 |
|
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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. |
Reasoning Mind |
https://www.reasoningmind.org |
Paid |
Houston (USA) |
2000 |
Commercial |
Preschool (0-5 years), Primary (6-11 years old), Secondary (12-17 years old) and Teachers |
Analytics |
0 |
Reasoning Mind |
Reasoning Mind is a math program for preschoolers to junior high school students. It’s designed to be used in a classroom setting with the support of a teacher. The teacher receives real-time information on student progress. |
|
AI to intelligently suggest seating plan arrangements |
Learning mathematics |
N/A |
|
|
Personalized learning,
The teacher receives real-time information on student progress. |
License for parents: $20/student per month.
License for schools: $88/student per year. |
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