CIPD Level 7 Unit 7OS03 Assignment Example 2026
| Qualification title | CIPD Level 7 Advanced Diploma in Strategic Learning and Development |
| Qualification number | QN 610/3538/5 |
| Unit code: | 7OS03 |
| Unit name: | Technology enhanced learning |
| RQF level | Level 7 |
About this Unit
This unit considers the role of technology within learning and the use of technology- enabled content and platforms within organisations. It focuses on how data, learning analytics and artificial intelligence (AI) may be utilised by the learning and development function, while exploring the implementation of technological systems and considering the potential barriers to success.
What you will Learn
You will review the diverse range of technologies within learning and development, including a variety of technological platforms. You will analyse how technology enhanced learning methods are used in assessing learning needs, designing, delivering, and evaluating learning. The impact of learning media will be reviewed along with evaluation of how organisations blend technological and non- technological approaches to learning. Additionally, you will discuss organisational barriers to learning technologies and how these can be mitigated. Finally, you will examine learning analytics and the role of AI in improving the effectiveness of learning provision, including the importance of data protection regulation.
Learning Outcome, Assessment Criteria and Indicative Content
1 Understand major technological developments and their impact upon the design and delivery of learning and development.
1.1 Analyse why there has been growth in technology enabled learning.
Developments in technology and their application within the learning function; the demand and drivers behind the advance of technology within learning; a critical review of open source, publicly accessible learning; learning in the flow of work; bitesize learning; self- directed learning; simulations and scalable solutions.
1.2 Discuss future trends impacting technology enabled learning.
Trajectory of technology with respect to learning; the future of technology within learning and development. LMS/LXP systems; augmented reality and virtual reality; artificial intelligence; the personalisation of learning through technology; smart devices and wearable technology.
1.3 Explain the complexities of return on investment in relation to learning technologies.
The mismanagement of technology within learning; costs of learning technologies; calculating return on investment; ensuring a positive return from investment in learning technologies.
1.4 Analyse how organisations may best use technology within the:
- assessment of learning needs
- design and delivery of learning
- evaluation of learning.
Assessment of learning needs: the use of diagnostic approaches to needs analysis; data and insights from organisation and learning systems (for example CRM/LMS/ LXP).
Design and delivery of learning: private and public (paid for and free) learning platforms; use of learner generated content; learning content management systems; LMS/LXP systems; design of blended learning. Emerging technology trends (for example AR/VR, AI); the personalisation of learning through technology.
Evaluation of learning: use of LMS/LXP data, insights and analysis (learner take up, engagement rates vs completion rates); relevance of workplace- based technology to demonstrate learning transfer; learning analytics.
2 Understand technological solutions and their relevance within learning and development.
2.1 Analyse how technological systems support learning within a variety of organisational contexts.
Private content platforms and the construction of learning management systems; public and open- source platforms including Google, YouTube, Teams/Zoom; generic, bespoke, and curated learning content; technological platforms and content within globally dispersed organisations.
2.2 Review the impact of technology enabled learning on participant engagement
Role of technology in engagement with learning; debates connected with gamification; the advantages and disadvantages associated with user generated content; using technological systems to encourage collaboration and communities of practice.
2.3 Evaluate how organisations may blend technological and non- technological approaches to learning.
Definitions of blended learning; characteristics of effective blended learning approaches; examples of effective approaches to blended learning; criticisms of blended approaches to learning.
2.4 Critically discuss how learning systems and learning content may be protected from external threats.
Data security; security of technological platforms; security policies; methods of protection; threats from cyber- attacks.
3 Understand how learning technologies are implemented within organisations.
3.1 Critically discuss organisational barriers to the successful implementation of learning technologies.
Operational challenges when implementing technological platforms and forms of technological delivery; resource constraints; issues of equity and access; managing stakeholders. Identify how barriers to the successful implementation of learning technologies may be mitigated. Methods to overcome risk aversion; building a shared vision; communicating the need for change; encouraging experimentation and innovation; building effective business cases; influencing others; monitoring engagement with learning technologies. Examine the implementation of learning technology.
3.2 Examine the implementation of learning technology
Basic project management methodologies; operational steps in implementing learning technologies; the use of minimum viable products (MVP) with iterative improvements; pilot testing; the considerations of human- centred design; working effectively with suppliers.
3.3 Evaluate the outcomes of the implementation process, including how data may support the process.
Gathering data to analyse the impact of technology within learning; use of relevant parts of evaluation models such as Kirkpatrick/Katzel, Brinkerhoff, LTEM, Weinbauer- Heidel, technology acceptance model (TAM); learning transfer; workplace impact.
4 Understand the role of data and artificial intelligence in improving the effectiveness of learning and development provision.
4.1 Examine learning analytics, including the merit of using data within learning and development processes.
Learning analytics; sources of data; data management; data mining; access and ownership of data; challenges in complex data analysis; role of descriptive, inferential, predictive or prescriptive analytics; use of data visualisation.
4.2 Critically discuss the use of learning systems within the learning and development function.
Role of learning management systems (LMS); learning experience systems (LXP); content management systems (CMS); virtual learning environments (VLE); the development of learning systems in an evolving technology landscape; data mining.
4.3 Evaluate the role of artificial intelligence within learning and development.
Artificial intelligence landscape including broad groups of applications including text generators, video and image production, research tools; how AI systems can be used to aid learning and development; ethical considerations of using AI; data protection; chatbots; personalisation of learning; provision of real- time feedback; using AI to scale learning delivery.
4.4 Discuss data protection legislation with respect to the learning function and importance of data integrity.
Data protection and data integrity; importance of having good quality data; coverage of relevant legal regulations (for example GDPR in the UK/EU); regulations as they apply to data collected by the learning function; access and ownership and transparency of data; control of data; preventing data breaches.
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