Time-to-Adoption: Two to Three Years
Learning Analytics
Learning analytics refers to the interpretation of a wide range of data produced by and gathered
on behalf of students to assess academic progress, predict future performance, and spot potential issues. Data are collected from explicit student actions, such as completing assignments and taking exams, and from tacit actions, including online social interactions, extracurricular activities, posts on discussion forums, and other activities that are not typically viewed as part of a student’s work. The goal of learning analytics is to enable teachers and schools to tailor educational opportunities to each student’s level of need and ability. Learning analytics promises to harness the power of advances in data mining, interpretation, and modelling to improve understanding of teaching and learning, and tailor education to individual students more effectively. Still in its very early stages, learning analytics is an emerging scientific practice that hopes to redefine what we know about learning by mining and investigating the vast amount of data produced by students as they engage in academic activities.
Relevance for Teaching and Learning in Singaporean K-12 Education
! The promise of learning analytics is that when correctly applied and interpreted, it will
enable teachers to more precisely identify students’ learning needs and tailor instruction
appropriately.
! If used effectively, learning analytics can help surface early signals that indicate a student is struggling, allowing teachers and schools to address issues quickly.
Learning Analytics in Practice
! The mobile app GoSoapBox allows students to anonymously ask questions to their
teachers and participate in discussions via smartphone, tablet, or laptop: go.nmc.org/xofii.
! Rancocas Valley Regional High School is collecting real-time feedback of standards-based
declarative and procedural knowledge: go.nmc.org/bclnm.
! Teachers at Crescent Girl’s School use WriteToLearn, which analyses written text based on
linear algebraic models, to evaluate writing assignments. The software also shows
students how to correct their mistakes: go.nmc.org/musok.
Time-to-Adoption: Two to Three Years
Learning Analytics
Learning analytics refers to the interpretation of a wide range of data produced by and gathered
on behalf of students to assess academic progress, predict future performance, and spot potential issues. Data are collected from explicit student actions, such as completing assignments and taking exams, and from tacit actions, including online social interactions, extracurricular activities, posts on discussion forums, and other activities that are not typically viewed as part of a student’s work. The goal of learning analytics is to enable teachers and schools to tailor educational opportunities to each student’s level of need and ability. Learning analytics promises to harness the power of advances in data mining, interpretation, and modelling to improve understanding of teaching and learning, and tailor education to individual students more effectively. Still in its very early stages, learning analytics is an emerging scientific practice that hopes to redefine what we know about learning by mining and investigating the vast amount of data produced by students as they engage in academic activities.
Relevance for Teaching and Learning in Singaporean K-12 Education
! The promise of learning analytics is that when correctly applied and interpreted, it will
enable teachers to more precisely identify students’ learning needs and tailor instruction
appropriately.
! If used effectively, learning analytics can help surface early signals that indicate a student is struggling, allowing teachers and schools to address issues quickly.
Learning Analytics in Practice
! The mobile app GoSoapBox allows students to anonymously ask questions to their
teachers and participate in discussions via smartphone, tablet, or laptop: go.nmc.org/xofii.
! Rancocas Valley Regional High School is collecting real-time feedback of standards-based
declarative and procedural knowledge: go.nmc.org/bclnm.
! Teachers at Crescent Girl’s School use WriteToLearn, which analyses written text based on
linear algebraic models, to evaluate writing assignments. The software also shows
students how to correct their mistakes: go.nmc.org/musok.
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