7OS03 Technology Enhanced Learning explores the role of technology in learning and how organisations use digital content and learning platforms. It examines how data and learning analytics can support the learning and development function, while also considering how technological systems are implemented and the possible challenges that may affect their success.

Table of Contents

Learning Outcome 1: Understand major technological developments and their impact on the design and delivery of learning and development

AC 1.1. Analyse why there has been growth in technology-enabled learning

Technology-enabled learning (TEL) has experienced exponential growth over the past decade, driven by a convergence of technological, economic, social, and organisational factors. Understanding these drivers is essential for L&D professionals seeking to harness technology strategically rather than adopting it reactively (CIPD, 2024).

The COVID-19 pandemic served as the single most powerful catalyst for TEL adoption. The rapid shift to remote working in 2020 forced organisations to digitise their learning provision almost overnight, compressing what would have been a decade of gradual adoption into a matter of months. CIPD research indicates that 48 per cent of L&D professionals reported a net increase in digital learning solutions over a twelve-month period, and many organisations that had previously been slow to adopt digital learning found that it became embedded as a permanent feature of their provision (Lancaster, 2023).

Advances in technology infrastructure have lowered barriers to adoption. Cloud computing has eliminated the need for organisations to maintain expensive on-premise servers, making learning management systems (LMS) and learning experience platforms (LXP) accessible to organisations of all sizes on a subscription basis. The proliferation of high-speed internet, mobile connectivity, and personal devices has enabled learning to be accessed anytime, anywhere, supporting the shift towards self-directed and on-demand models of learning (Clutterbuck et al., 2022).

Economic pressures have also driven TEL growth. Organisations operating in competitive and cost-constrained environments seek scalable, cost-effective alternatives to traditional face-to-face delivery. Technology-enabled learning allows organisations to deliver consistent content to geographically dispersed workforces at a fraction of the cost of classroom-based programmes, while reducing travel, venue, and facilitator expenses. The World Economic Forum’s (2024) Future of Jobs Report predicted that 50 per cent of employees will need reskilling by 2027 due to automation and AI, creating demand for scalable

learning solutions that technology is uniquely positioned to provide (Taylor, 2023). Changing learner expectations have further fuelled growth. Employees accustomed to consumer-grade digital experiences expect workplace learning to be similarly intuitive, personalised, and accessible. Younger generations entering the workforce bring digital fluency and a preference for bite-sized, multimedia-rich, and socially connected learning experiences. The emergence of generative AI, described by CIPD research as the fastest adopted technology in history, has created new possibilities for content creation, personalisation, and learner support that are accelerating TEL adoption still further (CIPD, 2024). AC 1.2. Discuss future trends impacting technology-enabled learning The TEL landscape is evolving rapidly, with several transformative trends poised to reshape how organisations design and deliver learning in the coming years. L&D professionals must anticipate these trends to position their organisations for competitive advantage (Lancaster, 2023). Artificial intelligence represents the most significant emerging trend. Generative AI tools are already transforming content creation, enabling L&D teams to produce learning materials, assessments, translations, and personalised learning pathways at unprecedented speed and scale. AI-powered tutoring systems, exemplified by innovations such as Khan Academy’s AI tutor, can provide individualised feedback, coaching, and su...

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