Peer to Peer Magazine

13 WWW.ILTANET.ORG BEST PRACTICES Transforming the Learning Landscape One Byte at a Time and increased security requirements. Why not leverage ESPs to send automated emails, enrollment confirmations, learning program reminders, system alerts and completion certificates? Having access to how, when and where such information is transmied could tell us more about who is consuming learning, allowing us to tailor the learning experience based on time frame, email category, geography and device type. Speaking of data, what about the potential of extended application program interfaces (APIs) to track every click, keyboard stroke and page visited? Tin Can API (sometimes known as the Experience API or xAPI) can provide great insight into how and what an employee is learning. What if we could also leverage data to understand why? Predictive learning analytics, which forecast future outcomes using learning data, can provide firms with a significant strategic advantage in allowing stakeholders empowered with actionable data and insight to influence outcomes. Think about the potential of analytics to predict paerns of learning by tracking an employee's behavior within a learning management system (LMS). What insights can be gained about employee work preferences and behaviors on the job if we know how long it takes employees to complete a quiz or when they are most active in online discussions? Such analytics could also be useful for real-time interventions, such as deskside coaching, automated distribution of links to resource materials or alerts to managers or team leads about additional employee development opportunities. The concept of adaptive learning is not new –– trainers are used to adjusting their teaching styles based on how learners process information. What is new and evolving are the technologies that leverage adaptive behavior. What will dynamic data, such as LMS event log data or electronic gradebook data, tell us about the individual learner? What insights will these technologies provide to augment traditional assessment and measurement models? What will your "personal data locker" say about you and the way you prefer to learn and work? Some feel these technologies will displace or disrupt traditional in-person training, but they could, in fact, strengthen the need for more directed learning such as coaching and one-to-one learner engagement. Adaptive learning means a change in the instructional content or approach based on the learner's preferences for learning Artificial intelligence (AI) is the name given to computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making and translation between languages An email service provider (ESP) is a company that offers email marketing or bulk email services Experience API (xAPI), also known as the Tin Can API, is an elearning software specification that connects learning content and learning systems to record and track all types of learning experiences Identity and access management (IAM) refers to a framework of policies and technologies designed to ensure that each person in an enterprise receives the appropriate level of access to technology resources Infrastructure as a service (IaaS) is one of three main categories of cloud computing services, alongside software as a service (SaaS) and platform as a service (PaaS), which provides virtualized computing resources over the internet Learning analytics is the measurement, collection, analysis and reporting of data about learners and their contexts to understand and optimize learning and the environments in which it occurs Single sign-on (SSO) is an authentication process that allows users to access multiple applications with one set of login credentials Wearable technology applies to electronics, software, sensors and connectivity solutions that enable objects to exchange data through the internet with a manufacturer, operator and/or other connected devices without requiring human intervention TECHNOLOGIES TO WATCH Check out these influential technologies that have the potential to shape the future of learning. › › › › › › › › ›

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