Human Resource Development and Adult Learning

Human Resource Development and Adult Learning

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Human Resource Development and Adult Learning


Within the organizational setting, one of the compounding components of adult learning is the integration of employee participation and their overall provision of resources for human resource development. Therefore, the importance of studying this overlapping relation between adult learning and HRD is highly emphasized in order to fully understand their interaction and fill the academic gap missing in providing intricate details pertaining to this correlation. The effectiveness of this relationship is fundamentally attributed to business outcomes, the complete focus or participation and engagement of the workforce. Scholars posit this important issue through the theorization of the practice of HRD and adult learning. In their research, one of the main problems in strategizing ways in which, this overall can significantly increase the effectiveness of a workforce within an organization is lack of attention from researchers in providing organizational (IO) literature.  Learning participation research should be prioritized primarily because there is an increased rate of dropouts observed in HRD programmers targeting adult learning. More so, the e-learning programs are affected by this issue further spreading concern in many industries and businesses. Through developing an understanding on participation and how its depicts the relationship between adult learning and human resources development, organizations are better equipped to leverage on these components to further improve the overall skills of their workforce which will in turn boost performance and productivity necessary for organizational proliferation and success.

The importance of understanding the overall between HRD and adult learning is based on the knowledge that is serves as an investment from an organizational standpoint. With this in mind, business expect completion and participation of their employee in adult learning when offered these HRD programs which will benefit the overall growth of the company. These components are perceived as preconditions which determine whether the investment will be productful and fruitful as expected by the management. Therefore, improving human capital through adult learning causes is imperative in highlighting the key issues associated with the relationship between this aspect and human resource development as it offers a closer look at the strategies and policies incorporated when presenting these resources thus influencing the outcome. Several theories are evaluated in developing understanding on this dual interaction. The learning participation theory presents a framework upon which various models such as measurement and evaluation model which are fundamental in HRD. Despite most HRD interventions sidelining learning participation as a crucial component in adult learning in organizations, measurement and evaluation model takes into consideration this aspect in order to elaborate on the effectiveness of HRD and its contribution to adult learning further illuminating on other elemental factors such as their correlation in enhancing employees’ skill set.

Summary of Findings

Adult Learning Participation

Various scholars support the implication of dropouts in e-learning programs with most participants being adult learners. According to ASTD &The Masic Center (2001), an estimated 69% of participants, major group being employees, underwent mandatory e-learning programs. However, at the end of the practice on 32% of the total participation group completed the course. On further evaluation, 70% of the learners from corporate institutions failed to complete the course in HRD practice. Scholars also highlighted the problem whereby an approximated 20-50% drop out rate was observed. This phenomenon has been coined as the embarrassing secret associated with adult leaning provided for HRD in corporate organizations. Wang and Wang (2004) propose the necessity of the importance of analyzing the pattern, nature and variables attributed to adult learning from an individualized perspective in order to further build the theory of HRD and establish strategies, which will provide the much-needed assistance to organizations on how to achieve employee performance and meet the business objectives.

Past investigations on learning interest, paying little mind to general grown-up learning or administration, IO brain research writing, and experimental or hypothetical explore, have not considered factors identified with the learning procedure furthermore, its potential effect (Fenwick, 2010, p. 79). Components distinguished and excused in this group have been discovered basic in deciding learners ‘persistence and inspiration amid the learning procedure, as per two ongoing investigations by Wang et al. (2003, 2004) on e-learning cooperation and culmination in the United States and the worldwide field. In this way, an all encompassing learning support hypothesis can’t be built up without considering the builds in the learning process. Once a worker takes an interest in a HRD learning program, the learning process commences, and it winds up basic for the member to decide regardless of whether he or she will finish it or drop out and impact the resulting learning results. Albeit a portion of the variables in the individual bunch, for example, inspiration and self-viability, are still in actuality, there would be extra learning-related factors becoming an integral factor, additionally entangling the circumstance. These extra factors will to a great extent influence second-level choices: regardless of whether to drop out and when. Obviously, factors in the learning procedure determine learning perseverance, as well as influence learning results, conduct change, and at last business affect, as arranged by the four-level assessment scientific categorization (Fenwick, 2010, p. 90). We set that factors in the learning procedure group comprise of the accompanying: needs appraisal, instructional plan, conveyance mode or stage, innovation based learning condition, and educator or facilitator. Every one of these factors is examined underneath for its impact on the student’s choice of ceaseless support, fruition, intrusion, and dropping out. Needs appraisal is the initial phase in creating HRD learning mediations.

In the event that adapting needs are misidentified, the students are liable to drop out regardless of how persuaded they may be. The nature of instructional outline is likewise an essential factor influencing the learning procedure. Instructional plan joins science with training and learning hypothesis with learning content (Kessels & Poell, 2004, p. 148) as it endorses instructional activities to upgrade wanted learning results. A decent quality configuration will probably draw in, motivate, and hold students in the program until its finishing. Intelligence is an element of the instructional outline that ought to be considered here. In instructional plan, intuitiveness is characterized as the capacity to give control, coordinate consideration, and arrange the correspondence among the student, teacher, and substance (Fenwick, 2004, p. 193). Intelligence is similarly essential in encouraging learning for both conventional and innovation based learning intercessions, yet it is more basic in deciding student dropout conduct for e-learning due to an absence of up close and personal cooperations amongst students and teachers. Research has demonstrated that improperly planned collaborations prompt weariness, over-burden, and dissatisfaction (Fenwick, 2004, p. 198), and are in this way prone to add to the dropout rate of the learning process, particularly for e-learning.

The cooperation hypothesis proposed in this article intends to investigate general cooperation and culmination conduct and impacting factors for all HRD learning programs. The learning conveyance stage (i.e., classroom setting, Web based, or any blends of the two) is a vital factor in deciding interest and fulfillment or dropout rates. As of late, a famous view bolstered by various experimental investigations is that there is no noteworthy distinction between classroom learning and technology mediated learning (Kessels & Poell, 2004, p. 150). Be that as it may, the examinations ordered by Merriam (2001) depended on tests of members who finished learning programs, without considering the individuals who dropped out preceding finishing. Given the cost and results related with non-completion and dropping out, the distinctions could in fact be huge. Educators and facilitators assume an essential part in conveying and encouraging organized learning intercessions and holding existing students.

Albeit similarly imperative for both conventional learning and e-learning, encouraging learning seems, by all accounts, to be more basic in e-learning than it conventional settings (Merriam, 2001, p. 3). The qualities of viable educators furthermore, facilitators have been outlined as responsiveness, adaptability, availability, topic information, addressing aptitudes, help abilities, strength, and transparency, in addition to other things. Educators and facilitators lacking such ascribes are more averse to spur and hold students through the culmination of the arranged learning for both customary and innovation based learning mediations (Sleezer, 2004, p. 125). The innovation based learning condition is a factor particular to HRD e-learning-related mediations. It is fundamental in deciding the dropout rate. Not the same as teacher drove learning forms, an innovation based e-learning condition is frequently  remain solitary framework as innovation interfaces autonomous of instructional plan or facilitators’ abilities (Smith, 2014, p. 10). Generally, innovation based e learning is intended to enable students to enlist and learn while connecting with an online educator. Traits that may influence a student’s investment what is more, consummation or dropping out incorporate apparent learning interface plan, seen convenience, getting to speed, availability, and online page measure.



Summary of Findings

The investment hypothesis for HRD learning intercessions that we proposed in this article is steady with existing examination and exact investigations. Stretching out the degree to incorporate the learning procedure and connecting it with result M&E, the hypothesis has imperative ramifications for future HRD research and hypothesis building. In the first place, the hypothesis gives a system to investigating a since a long time ago neglected region by HRD analysts. The cross-sectional hypothetical builds and time-arrangement choice offer another understanding into learning cooperation, an apparently basic HRD process in routine association hone. It likewise introduces a case of hypothesis building in view of earlier experimental proof. The structure and the acceptance of the proposed hypothesis may incite new reasoning with respect to other related HRD hones and further upgrade HRD hypothesis building endeavors.

Second, the proposed hypothesis interfaces cooperation and fulfillment with M&E of HRD learning mediation past the four-level scientific categorization, as characterized by Wang & Wang (2004). This linkage may trigger extra research to comprehend the connection between cooperation conduct and process also, the four-level scientific classification. The hypothesis additionally raises certain issues with respect to an interesting issue: degree of profitability (ROI) estimation hone. The inquiries may incorporate the accompanying: Should we consider dropout as a feature of a program cost; if yes, by what means should we approach ROI estimation to include the cost of dropouts? By what means should we gauge program ROI while considering the individuals who drop out of the program because adequate aptitudes have been educated for the assignments characterized? There ought to be distinctive ways to deal with estimating dropout costs for compulsory and willful HRD learning programs.

Last however not the slightest, the hypothesis gives a scientific instrument to HRD specialists to investigate and comprehend e-learning cooperation and dropout rates, as much as those for customary HRD learning mediations. To date, we have little learning with respect to the nature, example, and conduct of both required and intentional cooperation of customary HRD learning mediations to its full scale (Wang & Wang, 2004, p. 350). We know even less about the reasons and factors influencing e-learning support and dropout rates, next to data revealed by well-known press and industry reviews. Substantially more research should be finished. The hypothetical model got from this article may give a stage and capacity as a stimulator for HRD analysts and experts to start to think about and additionally comprehend support and consummation of both customary and e-learning HRD programs.




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