%0 Journal Article %1 Aguilar2017 %A Aguilar, Stephen J. %D 2017 %J TechTrends %K applications edtech ethics learninganalytics personalizedlearning %R 10.1007/s11528-017-0226-9 %T Learning Analytics: at the Nexus of Big Data, Digital Innovation, and Social Justice in Education %U https://doi.org/10.1007/s11528-017-0226-9 %X We are still designing educational experiences for the average student, and have room to improve. Learning analytics provides a way forward. This commentary describes how learning analytics-based applications are well positioned to meaningfully personalize the learning experience in diverse ways. In so doing, learning analytics has the potential to contribute to more equitable and socially just educational outcomes for students who might otherwise be seen through the lens of the average student. Utilizing big data, good design, and the input of the stakeholders, learning analytics techniques aim to develop applications for the sole purpose of reducing the classroom size to 1. Over time, these digital innovations will enable us to do away with a model of education that teaches toward the non-existent average student, replacing it with one that is more socially just---one that addresses the individual needs of every student.

@article{Aguilar2017, abstract = {We are still designing educational experiences for the average student, and have room to improve. Learning analytics provides a way forward. This commentary describes how learning analytics-based applications are well positioned to meaningfully personalize the learning experience in diverse ways. In so doing, learning analytics has the potential to contribute to more equitable and socially just educational outcomes for students who might otherwise be seen through the lens of the average student. Utilizing big data, good design, and the input of the stakeholders, learning analytics techniques aim to develop applications for the sole purpose of reducing the classroom size to 1. Over time, these digital innovations will enable us to do away with a model of education that teaches toward the non-existent average student, replacing it with one that is more socially just---one that addresses the individual needs of every student.}, added-at = {2017-10-11T10:37:48.000+0200}, author = {Aguilar, Stephen J.}, biburl = {https://www.bibsonomy.org/bibtex/211ff58913887340b47bf77e320418efc/ereidt}, day = 10, doi = {10.1007/s11528-017-0226-9}, interhash = {0f988bfeb7c5a05fbcb4ea8b8185bb14}, intrahash = {11ff58913887340b47bf77e320418efc}, issn = {1559-7075}, journal = {TechTrends}, keywords = {applications edtech ethics learninganalytics personalizedlearning}, month = oct, timestamp = {2017-10-11T10:37:48.000+0200}, title = {Learning Analytics: at the Nexus of Big Data, Digital Innovation, and Social Justice in Education}, url = {https://doi.org/10.1007/s11528-017-0226-9}, year = 2017 }