AI in Learning & Development: A Literature Review
What the research tells us about the power and potential of AI in L&D
Case studies are great, but have you ever deep-dived peer-reviewed research to identify the most powerful use cases for AI in workplace L&D?
I did, and here’s what I found.
Enjoy!
Phil 🚀
AI & Efficiency
The Potential Utilisation of Artificial Intelligence (AI) in Enterprises (2023) Key Finding: AI excels in data processing and analysis tasks, such as data entry, analysis, and customer service, automating processes to boost efficiency, especially in the context of L&D and HR. (Leddy & McCreanor, 2023).
The Impact of AI on Job Automation (2023) Key Finding: AI-driven automation improves productivity, efficiency, and accuracy in industries like manufacturing, shipping, HR, and customer service, allowing human employees to focus on high-value strategic duties. (Santhosh & Unnikrishnan, 2023).
Influence of Artificial Intelligence (AI) on Firm Performance: The Business Value of AI-Based Transformation Projects (2020) Key Finding: AI-based transformation projects enhance organisational performance at financial, marketing, and administrative levels by optimising processes and improving automation, information, and human interactions. (Wamba-Taguimdje et al., 2020).
AI & Effectiveness
Towards a Capability Assessment Model for the Comprehension and Adoption of AI in Organisations (2023) Key Finding: AI enhances job performance and capability through data analytics, knowledge representation, and automated decision-making support. (Butler et al., 2023).
Team Challenges: Is Artificial Intelligence the Solution? (2019) Key Finding: AI improves team effectiveness primarily by providing diagnostics and facilitating teamwork enhancements. (Webber & Detjen, 2019).
Can Artificial Intelligence Change the Way in Which Companies Recruit, Train, Develop and Manage Human Resources in the Workplace? (2019) Key Finding: AI positively impacts HR management, suggesting a need for increased investment in AI processes for improved HR outcomes. (Iqbal, 2019).
AI & Coaching
Comparing Artificial Intelligence and Human Coaching Goal Attainment Efficacy (2022) Key Finding: AI coaching is as effective as human coaching in helping clients reach their goals, potentially democratising access to coaching. (Terblanche & Molyn, 2022).
The Janus Face of Artificial Intelligence Feedback: Deployment Versus Disclosure Effects on Employee Performance (2021) Key Finding: AI-generated performance feedback is more accurate and relevant, leading to improved employee performance and value for organisations. (Tong & Jia, 2021).
Artificial Intelligence Coaches for Sales Agents: Caveats and Solutions (2019) Key Finding: AI coaches can improve sales agents' performance, particularly middle-ranked agents, though benefits vary and can be optimised with restricted training feedback. (Luo & Qin, 2019).
AI in Learning (2021) Key Finding: Intelligent tutoring systems leverage AI to provide personalised, adaptive instruction and feedback, significantly enhancing the learning experience. (Niemi & Liu, 2021).
Artificial Intelligence-Based Training Learning from Application (2019) Key Finding: AI-based training systems can curate content, grade, evaluate, and provide feedback, making learning adaptive and contextual. (Upadhyay & Khandelwal, 2019).
AI & Training Design
Exploring the Scope of Artificial Intelligence (AI) for Lifelong Education through Personalised & Adaptive Learning (2023) Key Finding: AI enables personalised and adaptive learning experiences by understanding individual learner's needs and tailoring content and delivery to optimise learning outcomes. (Aggarwal, 2023).
Artificial Intelligence-Based Training Learning from Application (2019) Key Finding: AI-based training systems facilitate personalised and customised training programs, increasing the effectiveness of continuous skill development. (Upadhyay & Khandelwal, 2019).
Designing Educational Technologies in the Age of AI: A Learning Sciences-Driven Approach (2019) Key Finding: AI-powered learning analytics can analyse rich educational data to provide nuanced and individualised scaffolding for learners. (Luckin & Cukurova, 2019).
Happy experimenting!
Phil 👋
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