Evaluating L&D in a Knowledge Economy

Evaluating L&D in a
Knowledge Economy
Name of the student:
Name of the university:

Introduction
 Knowledge economy is based on intellectual capital
 The international network of the brainpower is called
knowledge economy (Bathelt, Golfetto and Rinallo 2014)
 Evaluation and growth of knowledge, skills, capability,
experience and intellectual growth are required in this
economy.
 Learning and development (L&D) as well as evaluation are
important for the growth of knowledge economy.
 Through L&D and evaluation, the purpose of independent
learning is achieved.
 Gathering and developing knowledge on business and
evolving technologies is a prerequisite of success in the
modern business world and it creates the need for evaluation
of the L&D processes (North and Kumta 2018).

Evaluation: Definition
 Definition of Evaluation:
 Evaluation: A systematic process of critical examination
and determination of the merit, significance and worth
of a subject against some criteria governed by a set of
standards (Rossi, Lipsey and Henry 2018).
 In the context of L&D, evaluation refers to purposeful
gathering, analysis as well as discussion of the
evidences from different relevant sources regarding the
worth, quality and impact of learning (Nielsen and
Kreiner 2017)
 Evaluation process is dependent on judgment of the

Types of evaluation
1)Formative
2)Summative
3)Process
4)Outcomes
5)Impact (Venable, Pries-Heje and
Baskerville 2017)

Purposes of evaluation
1)Adequacy assessment
2)Plausibility assessment
3)Probability evaluation
(Stufflebeam and Coryn 2014)

How evaluation fits within L&D
processes and systems?
 Evaluation of L&D processes and systems is
necessary to understand the effectiveness of the
programs and knowledge obtained from those
(Kearns 2014)
 Ensures the efficiency of an organization’s learning
and development initiatives and programs for the
employees
 Learner’s satisfaction level is assessed and validated
for assessing the effectiveness of L&D programs
 Evaluation methodologies or parameters are set
before the learning process is implemented