Learning Analytics is proactively helping the education industry.
FREMONT, CA: While interacting with the university, whether going to the library, logging into their virtual learning environment, or submitting their online assessments, students leave the digital data. This often unused data on servers and databases can be utilized for practical and theoretical needs of possible stakeholders. The process of utilizing these data to improve learning and teaching tends to be called Learning Analytics.
Learning analytics, along with related concepts like academic analytics, prospects the relationship between efficient utilization of the learning system and its outcomes, have a positive influence on administrators, faculty, students, researchers, and learning system framework designers.
Learning analytics related to online education programs can provide detailed information to students about their performance. It enables the students to take control of their own learning by giving them better information on how they can progress and what they need to do to meet their educational goals. Meanwhile, some universities are deploying analytics-based systems to help the students to select future modules.
Learning Analytics can identify struggling students earlier by merging information known about individuals in advance. Student data analytics would be used to predict which student will not progress to the next academic year. Learning analytics provides new approaches to answering basic questions about factors related to learning outcomes, especially analytic approaches, examine the micro and macro patterns of student and instructor behavior and their relationship with desired learning outcomes.
Large-scale learning analytic approaches have the possibility to better investigate the impact of various variables on key learning outcomes, as well as complex interactions among those variables, to increase the view that how online environments influence learning.
With the advancement of analytics, learning system design also gets profited from this data. Developers can be informed by the analytics about the individual interactions with their system, and the influence of interaction on a host of other outcomes, and how environmental changes impact outcomes.
Learning system designers have similar opportunities. Other industries routinely use data mining approaches and experimentation with their own system to improve the user experience. This ultimately builds more engaging learning experiences for students and faculty.