Machine Learning in the Classroom Maher Selim Ph

Machine Learning in the Classroom Maher Selim, Ph. D. Machine learning Postdoctoral Fellow Professor Wenying Feng research group Trent University

Machine Learning ★ Machine learning is using the data to automates analysis and building analytical model. ★ Learn from data, machine learning using computers to find hidden pattern without being explicitly programmed. ★ Machine learning works especially well in prediction and classification. 1 https: //trueinteraction. com/ai-classroom-machine-learning-education/

Machine Learning Collecting Data from students behaviours Kotsiantis, Sotiris B. "Use of machine learning techniques for educational proposes: a decision support system forecasting students’ grades. " Artificial Intelligence Review 37. 4 (2012): 331 -344. 2 https: //www. linkedin. com/pulse/building-machine-learning-infrastructure-pat-alvarado/

Machine Learning in Education Scheduling Grading Recommendation Organization IBM’s Chalapathy Neti vision of Smart Classrooms https: //trueinteraction. com/ai-classroom-machine-learning-education/ By Michael Davison 3

Scheduling ★ Scheduling algorithms search for an optimal and adapted teaching policy for helping students to learn more efficiently. Existing Platforms ★ New. Classrooms uses learning analytics to schedule personalized math learning experiences. http: //www. gettingsmart. com/2015/11/8 -ways-machine-learning-will-improve-education/ By Tom Vander Ark https: //trueinteraction. com/ai-classroom-machine-learning-education/ By Michael Davison 4

Grading ★ Grading systems that assess and score student responses to assessments and computer assignments at large scale, either automatically or via peer grading Existing Platforms Grading systems that assess and score student responses to assessments and computer assignments at large scale, either automatically: ★ Pearson’s Write. To. Learn and Turnitin’s Lightside can score essays and detect plagiarism. https: //trueinteraction. com/ai-classroom-machine-learning-education/ By Michael Davison 5

Organization ★ Content analytics that organize and optimize content items like assessments, textbook sections, lecture videos, etc. Existing Platforms ★ Content analytics that organize and optimize content modules: Gooru , IBM Watson Content Analytics ★ Jenzabar and IBM SPSS helps Higher. Ed institutions predict enrollment, improve financial aid, boost retention, and enhancing campus security. https: //trueinteraction. com/ai-classroom-machine-learning-education/ By Michael Davison 6

Recommendation ★ Learning analytics that build statistical models of student knowledge to provide computerized and personalized feedback on learning the students’ progress and their instructors ★ Active learning and experimental design, which adaptively select assessments and other learning resources for each student individually to enhance learning efficiency Existing Platforms ★ Adaptive learning systems: Dream. Box, ALEKS, Reasoning Mind, Knewton ★ Game-based learning: ST Math, Mangahigh https: //trueinteraction. com/ai-classroom-machine-learning-education/ By Michael Davison 7

The Future Machine Learning in Education Bill Gates: A. I. will make our lives 'more productive and creative' 8

Discussions What can Machine Learning do to make education more productive and creative? ” 9