<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">CE</journal-id><journal-title-group><journal-title>Creative Education</journal-title></journal-title-group><issn pub-type="epub">2151-4755</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ce.2021.125075</article-id><article-id pub-id-type="publisher-id">CE-109256</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Social Sciences&amp;Humanities</subject></subj-group></article-categories><title-group><article-title>
 
 
  A Survey on the Acceptance of E-Learning for Professional Development amongst English as a Second Language (ESL) Teachers in Malaysia
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Nurhani</surname><given-names>Omar</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Harwati</surname><given-names>Hashim</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Faculty of Education, Universiti Kebangsaan Malaysia, Bangi, Malaysia</addr-line></aff><pub-date pub-type="epub"><day>30</day><month>04</month><year>2021</year></pub-date><volume>12</volume><issue>05</issue><fpage>1027</fpage><lpage>1039</lpage><history><date date-type="received"><day>11,</day>	<month>March</month>	<year>2021</year></date><date date-type="rev-recd"><day>21,</day>	<month>May</month>	<year>2021</year>	</date><date date-type="accepted"><day>24,</day>	<month>May</month>	<year>2021</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Recent trends and advances in Education 4.0 have expedited Malaysian ESL teachers harnessing e-learning to facilitate their professional development. This paper investigates the level of Malaysian English as a Second language (ESL) teachers’ acceptance of e-learning for PD using the Technology Acceptance Model (TAM). Additionally, the paper examines the plausible relationships amongst perceived ease of use, perceived usefulness, behavioural intention to use and actual use of e-learning for professional development. A total of 60 Malaysian ESL teachers who participated in an online professional development course were requested to complete a questionnaire after the course ended. Data collected were analysed via descriptive and inferential statistics. The teachers’ responses indicated their levels of technological acceptance. Additionally, significant relationships between the perceived usefulness, behavioural intention toward using e-learning, and actual use of e-learning were noted. However, no significant relationship was observed between the perceived ease of use with behavioural intention to use. This paper hopes to provide input on how training providers could improve e-learning within the context of professional development. The limitations, implications, and recommendations are also provided for future studies.
 
</p></abstract><kwd-group><kwd>Teacher Professional Development</kwd><kwd> Perceived Ease of Use</kwd><kwd>  Perceived Usefulness</kwd><kwd> Behavioural Intention to Use</kwd><kwd> Actual Use</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>The advent of Education 4.0 is reflected in the formulation of new criteria for preferred knowledge and skills deemed needed by educators associated with different modes of training and behavioural trends. This has led to the need to invent new forms of teaching and learning, as well as to redesign and rethink education in the digital era due to the rapid development of emerging technologies (Hashim, 2018). Recent innovations and advancements have provided an opportunity to develop a unique, independent and technology-facilitated learning environment delivered via e-learning platforms.</p><p>Where educators and teachers are concerned, the need to upskill is never exhaustive. In many countries, policies dictate that teachers need to meet certain expected standards for performance that signify their quality (Great Schools Partnership, 2013). Hence, teachers are themselves learners who constantly seek to better themselves for their students’ betterment, and professional development is a primary mechanism to that end. Several constraints exacerbate access to conventional professional development methods, i.e., time, cost, and distance (Thorne, 2020; Blanchard, LePrevost, Tolin, &amp; Gutierrez, 2016; Easton, 2013). It is timely that e-learning can help teachers to study at their pace and environment (Rusli &amp; Hashim, 2018).</p><p>Although e-learning is probably not new to Malaysian teachers, most of the previous studies were focused and explored teachers’ efficacy to integrate technology in their pedagogy (Che Had &amp; Rashid, 2019), leading to professional development courses tailored to meet that objective (Thorne, 2020). Couched within the context of English as a Second language (ESL) teachers in Malaysia, the Malaysia Education Blueprint that emphasised teachers meeting a certain standard of language proficiency has also expedited the need for rapid upskilling (Ministry of Education, 2013). Hence, the need for comprehensive professional development extends beyond traditional face-to-face courses into technology-oriented contexts.</p><p>Additionally, most e-learning studies are more descriptive and case-specific, emphasising the technology used or the system itself rather than the plausible theoretical contributions and implications (Booth &amp; Kellogg, 2015). It is also evident that professional development courses conducted online will continue to expand (Powell &amp; Bodur, 2019). Investigating the factors that impact acceptance, beliefs and efficacies about e-learning and the number of learners willing to be involved in the systems could help increase (Parkes, Stein, &amp; Reading, 2015) the significance of enhancing knowledge management using technology (Scott &amp; Scott, 2010). Consequently, the purpose of this study is to investigate Malaysian ESL teachers’ acceptance of e-learning for professional development by utilising the Technology Acceptance Model (TAM) based on selected constructs such as perceived usefulness, perceived ease of use, behavioural intention to use, and actual use of the system. Therefore, the following research questions are developed:</p><p>1) What are the ESL teachers’ acceptance levels toward e-learning for professional development regarding perceived ease of use, perceived usefulness, behavioural intention to use, and actual use of the system?</p><p>2) Is there a significant relationship between perceived ease of use and behavioural intention to use e-learning for professional development amongst Malaysian ESL teachers?</p><p>3) Is there a significant relationship between perceived usefulness and behavioural intention to use e-learning for professional development amongst Malaysian ESL teachers?</p><p>4) Is there a significant relationship between behavioural intention to use and actual use of e-learning for professional development amongst Malaysian ESL teachers?</p><p>The rest of the article is structured as follows: first, the extant literature on teachers’ professional development, the Technology Acceptance Model, and teachers’ acceptance of e-learning are reviewed. This is followed by a description of the research methodology used in the study and a discussion of the findings. Finally, the implications, limitations, and recommendations for future research are offered.</p></sec><sec id="s2"><title>2. Literature Review</title><p>Various platforms are available through which learners can make the most of their learning experience. The challenge is to establish whether changes in instructional methods would be positively accepted (Halverson &amp; Graham, 2019) besides encouraging powerful and effective learning by considering adequate measures for correct decision-making, relevance, social contact, and setting (Embi &amp; Panah, 2014). In terms of tools and delivery, educational fraternities need to rethink the whole concept of an educational course from the conventional, closed community, and highly structured course, where learners are reliant on instructors, to open platforms of independent learners (Downes, 2006; Siemens, 2013).</p><sec id="s2_1"><title>2.1. Teachers’ Professional Development (TPD)</title><p>It is pertinent to note the relevance of sustained professional development for teachers which explained the designation of any effective professional development for upskilling teachers to promote their students’ academic language proficiency (Kalinowski, Gronostaj, &amp; Vock, 2019). In conventional teacher professional development (TPD) training, teachers often faced conflicts with their work schedules, resulting in the loss of valuable contact hours with their students. Further disparities in the quantity and quality of said TPD often led to multi-faceted challenges to participation (Powell &amp; Bodur, 2019).</p><p>Given the prevalence of technology in modern life, there has been a trend to develop online professional training courses focused on augmenting teachers’ experiential learning (Kalinowski, Gronostaj, &amp; Vock, 2019). The question remained on whether the courses qualify as teachers’ acceptance of the mode of delivery. The study by Halverson and Graham (2019) asserted that only 3.5% of the top-cited papers on online learning investigated working adult’s experience. The lack of empirical studies into e-learning, specifically for in-service courses, needs to be addressed since such learners have specific needs (Tay, 2016; Elliott, 2017). Therefore, this study attempted to shed some light on this pertinent issue to better inform training providers in ensuring effective delivery of e-learning for TPD.</p><p>In another study, Abdullah and Hashim (2020) proposed the affordances of a professional learning community (PLC) as a learning platform for teachers to pursue professional development by sharing knowledge and best practices both online and offline. In the context of Malaysian ESL teachers who participated in this study, the Learning Management Systems (LMS) chosen was Schoology that allowed interaction, albeit with limitations, amongst participants within their community. Meanwhile, Preece and Hamed (2020) emphasised that educators must explicitly develop to avail learners of diverse learning environments and identify, prepare, and handle ongoing learning opportunities within their professional practice. Hence, it seems reasonable that teachers embrace the role of e-learners to become better informed of the affordances that may influence the acceptance of using e-learning if and when they utilise a similar method in the course of their teaching.</p></sec><sec id="s2_2"><title>2.2. Teachers’ Acceptance of E-Learning</title><p>In previous studies, e-learning can be defined as a learning approach facilitated and supported through the use of information and communications technology (ICT) concerning the contexts where such learning materialises (Asabere &amp; Enguah, 2012). Terms such as online learning, open learning, web-based learning, computer-mediated learning, blended learning, m-learning, and e-learning refer to the common ability to use a computer connected to a network that offers the possibility to learn independent of place, time or means (Cojocariu, Lazar, Nedeff, &amp; Lazar, 2014).</p><p>Meanwhile, Singh and Thurman (2019) defined it as learning experiences using different devices with internet access, classified into synchronous and asynchronous categories. The former refers to learners and instructors physically separated but work simultaneously, while the latter is when learners and instructors are separated both physically and time wise (Al-Azawei &amp; Lundqvist, 2015). In their research, Solimeno, Mebane, Tomai, and Francescato (2008) posited that e-learning is suitable for learners with time-management or job-commitment issues, regardless.</p><p>E-learning for TPD refers to courses, workshops, or learning modules delivered in an online format, which may be asynchronous, synchronous, or blended (Powell &amp; Bodur, 2019). In this study, the e-learning for TPD fell into the asynchronous category whereby teachers voluntarily joined a professional development course focusing on improving their proficiency via the LMS Schoology (Schoology). Hence, it was vital to gauge the participants’ acceptance since previous studies reported that learners were not prepared to balance the demands of their personal lives with their online learning environment (Dhawan, 2020).</p><p>Apart from deliberating more on the effects of online TPD on teachers’ practice and students’ outcome, recent studies had also identified online TPD designs that may influence teachers’ experience of e-learning, such as 1) teachers’ individual professional learning needs; 2) usefulness; 3) interaction and collaboration; 4) authentic tasks and activities; and 5) reflection (Farris, 2015; Booth &amp; Kellogg, 2015; Scott &amp; Scott, 2010; Huang, 2002). Nonetheless, since this study utilised TAM, the focus would be on the teachers’ perception of the usefulness of e-learning for TPD.</p><p>To ensure the acceptance of e-learning, past studies stressed on learners’ 1) self-efficacy toward the use of technology; 2) self-reflection on the effectiveness of in-service courses; and 3) awareness of perpetual upskilling (Thorne, 2020; Blanchard, LePrevost, Tolin, &amp; Gutierrez, 2016). However, previous studies also reported a varying degree of success despite the existence of either all or any one of those elements (Mohalik &amp; Sahoo, 2020; Ngampornchai &amp; Adams, 2016; Easton, 2013). Parkes, Stein, and Reading (2015) revealed that many learners had low-level preparedness concerning the mastery of the LMS chosen as the platform for various asynchronous online learning modules and courses. This paper endeavoured to identify if the teachers’ perception of their online experience had been influential in their acceptance of e-learning for TPD.</p></sec><sec id="s2_3"><title>2.3. The Technology Acceptance Model (TAM)</title><p>TAM was originally developed by Davis (1986) to explain users’ propensity in embracing computer usage and ICT. The main variables in TAM are perceived usefulness (PU) and perceived ease of use (PEOU) of technology which are valuable predictors of users’ attitudes and behavioural intention toward using technology. TAM also hypothesised users’ perception of technology, subsequent behavioural intentions, and actual usage (Davis, Bagozzi, &amp; Warshaw, 1989). Additionally, PEOU was also considered to influence the perceived usefulness of technology. <xref ref-type="fig" rid="fig1">Figure 1</xref> presents the original version of TAM.</p><p>In TAM, perceived utility refers to the degree of users’ perception that technology can enhance their job efficiency, whereas perceived ease of use suggests how effortless they perceive using the technology (Masrom, 2007). The study by Teo and Noyes (2014) argued that attitude toward using has an effect on intention to use, but the effectiveness of this effect often varies. In contrast, Masrom (2007) discovered that attitude toward using has no direct and significant effect</p><p>on intention to use. The conflicting contentions may have occurred as a result of an incredibly broad definition as well as liberal interpretation of the term “attitude.”, implying that it can refer to a variety of aspects of using a system (Amarin &amp; Habashneh, 2019).</p><p>The final version of TAM was developed by Venkatesh and Davis (1996) after discovering that perceived usefulness and perceived ease of use have a direct influence on behaviour intention, obviating the need for the attitude construct. Hence, this study opted to exclude attitude toward using as a construct and a reduced TAM model was adapted as depicted in <xref ref-type="fig" rid="fig2">Figure 2</xref>. Similarly, external variables were excluded from the research model considering that there was no immediate goal to investigate the predictors of perceived usefulness and perceived ease of use.</p><p>The study by Smith and Sivo (2012) concluded that the effectiveness of online technology for professional development depends on teachers’ acceptance of online learning as an alternative to conventional face-to-face delivery. It is worth noting that the validity of the instrument has been verified with different populations of users and choices of software (Cheok &amp; Wong, 2015; Wasserman &amp; Migdal, 2019). Hence, using TAM in this study may inform the research questions developed for this paper.</p></sec></sec><sec id="s3"><title>3. Methodology</title><p>The present study utilised a quantitative survey, which included both descriptive and inferential statistics. This study used purposive sampling consisting of 60 ESL teachers teaching in government schools in Malaysia (N = 60), who were participants in a teacher professional development (TPD) course conducted asynchronously via Schoology as they would be the best to inform the research questions.</p><p>The instrument used was a questionnaire via Google Form to address the issue of accessible population. It comprised the subscales: 1) level of perceived ease of use of e-learning, 2) level of perceived usefulness of e-learning, 3) behavioural intention to use, and4) actual use. These items were adapted from scales measuring variables by Ngampornchai and Adams (2016). The items were 5-point Likert-type, ranging from “Strongly Disagree” (1) to “Strongly Agree” (5). The</p><p>instrument also included the teachers’ demographic information, which incorporated their gender, age, prior e-learning experience(s), access to, and frequency of browsing the Internet. The reliability of the instrument was assessed by computing Cronbach alpha coefficients for each subscale.</p><p>The result of Cronbach alpha coefficients should show a reliable coefficient above 0.70 (Nunnally, 1978). <xref ref-type="table" rid="table1">Table 1</xref> shows the results of each subscale, which are above 0.70, indicating a reliable questionnaire.</p><p>The survey was conducted via Google Form since the participants resided in various locations across the nation. The questionnaire contained no personally identifiable information such as names and contact numbers to ensure confidentiality. The respondents were informed of their voluntary participation; hence, they may withdraw from the survey at any time if they so wished.</p><p>Data collected were calculated by adopting both descriptive and inferential statistics. Descriptive statistics were computed for each item on the subscales. Next, the Pearson product-moment correlation coefficient (r) was used to determine the correlation between the dependent and independent variables.</p></sec><sec id="s4"><title>4. Findings</title><p>The survey was completed by 60 ESL teachers consisting of 71% female and 29% male respondents. The majority of the respondents were between 30 to 40 years of age, with more than 5 years of service. More than half of the respondents (58%) had prior experience(s) using e-learning. Quantitative analyses were conducted to determine the findings.</p><p>To address the first research question, i.e., the ESL teachers’ acceptance levels toward e-learning for professional development in terms of perceived ease of use, perceived usefulness, behavioural intention to use and actual use, the study computed the descriptive statistics of the variables used to measure the subject matter, as shown in <xref ref-type="table" rid="table2">Table 2</xref>. The results suggested that teachers scored the highest for the construct actual use (M = 4.73, SD = 76). The implication for training providers is the teachers’ awareness that e-learning for professional development may be the most viable option available for them. Contrastingly, perceived ease of use recorded the lowest score (M = 3.69, SD = 59). Perhaps, this indicated that teachers are ready to embrace e-learning for their TPD regardless of their efficacy toward technology-facilitated training platforms.</p><p>The results of a Pearson product-moment correlation coefficient computed to assess the relationships to inform research questions 2 to 4 are depicted in <xref ref-type="table" rid="table3">Table 3</xref>.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Cronbach Alpha coefficients results</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >N</th><th align="center" valign="middle" >Cronbach’s Alpha</th></tr></thead><tr><td align="center" valign="middle" >Perceived Ease of Use (PEOU)</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >0.827</td></tr><tr><td align="center" valign="middle" >Perceived Usefulness (PU)</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >0.832</td></tr><tr><td align="center" valign="middle" >Behavioural Intention (BI)</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >0.854</td></tr><tr><td align="center" valign="middle" >Actual Use (AU)</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >0.843</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Means and standard deviations of the constructs</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Construct</th><th align="center" valign="middle" >Mean</th><th align="center" valign="middle" >SD</th></tr></thead><tr><td align="center" valign="middle" >Perceived Ease of Use (PEOU)</td><td align="center" valign="middle" >3.69</td><td align="center" valign="middle" >0.59</td></tr><tr><td align="center" valign="middle" >Perceived Usefulness (PU)</td><td align="center" valign="middle" >3.84</td><td align="center" valign="middle" >0.62</td></tr><tr><td align="center" valign="middle" >Behavioural Intention (BI)</td><td align="center" valign="middle" >3.97</td><td align="center" valign="middle" >0.79</td></tr><tr><td align="center" valign="middle" >Actual Use (AU)</td><td align="center" valign="middle" >4.73</td><td align="center" valign="middle" >0.76</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Pearson’s product moment correlations amongst the constructs</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th><th align="center" valign="middle" >Perceived Ease of Use</th><th align="center" valign="middle" >Perceived Usefulness</th><th align="center" valign="middle" >Behavioural Intention to Use</th><th align="center" valign="middle" >Actual Use</th></tr></thead><tr><td align="center" valign="middle"  rowspan="3"  >Perceived Ease of Use</td><td align="center" valign="middle" >Pearson Correlation</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.562**</td><td align="center" valign="middle" >0.397**</td><td align="center" valign="middle" >0.409**</td></tr><tr><td align="center" valign="middle" >Sig. (2-tailed)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.001</td><td align="center" valign="middle" >0.028</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >N</td><td align="center" valign="middle" >60</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Perceived Usefulness</td><td align="center" valign="middle" >Pearson Correlation</td><td align="center" valign="middle" >0.562**</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.601**</td><td align="center" valign="middle" >0.683**</td></tr><tr><td align="center" valign="middle" >Sig. (2-tailed)</td><td align="center" valign="middle" >0.001</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.001</td><td align="center" valign="middle" >0.000</td></tr><tr><td align="center" valign="middle" >N</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >60</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Behavioural Intention to Use</td><td align="center" valign="middle" >Pearson Correlation</td><td align="center" valign="middle" >0.397**</td><td align="center" valign="middle" >0.601**</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.862**</td></tr><tr><td align="center" valign="middle" >Sig. (2-tailed)</td><td align="center" valign="middle" >0.028</td><td align="center" valign="middle" >0.001</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.000</td></tr><tr><td align="center" valign="middle" >N</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >60</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Actual Use</td><td align="center" valign="middle" >Pearson Correlation</td><td align="center" valign="middle" >0.409**</td><td align="center" valign="middle" >0.683**</td><td align="center" valign="middle" >0.862**</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" >Sig. (2-tailed)</td><td align="center" valign="middle" >0.001</td><td align="center" valign="middle" >0.000</td><td align="center" valign="middle" >0.000</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >N</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >60</td></tr></tbody></table></table-wrap><p>**Correlation is significant at the 0.01 level (2-tailed).</p><p>First, the relationship between the perceived ease of use (M = 3.69, SD = 0.59) and behavioural intention to use e-learning for professional development amongst Malaysian ESL teachers (M = 3.97, SD = 0.79) indicates a weak, positive correlation between them, i.e., r(58) = 0.397. Nonetheless, the relationship is not significant (p &gt; 0.001). Therefore, the teachers’ perceived ease of use did not appear to be associated with their behavioural intention to use e-learning for professional development.</p><p>Meanwhile, a significant relationship is noted between perceived usefulness (M = 3.84, SD = 0.62) and behavioural intention to use e-learning for professional development amongst Malaysian ESL teachers (M = 3.97, SD = 0.79). A moderate, positive correlations was found between the variables r(58) = 0.56, p &lt; 0.001. Hence, the more the teachers perceived e-learning as being useful, the more likely they intend to use it for their TPD.</p><p>Next, the correlation coefficient (r) equals 0.862, indicates a strong relationship between behavioural intention to use (M = 3.97, SD = 0.79) and the actual use of e-learning for professional development amongst Malaysian ESL teachers (M = 4.73, SD = 0.76). Thus, it is possible to surmise that the variables are related. In particular, it seemed that the more teachers indicated an intention to use, the greater the chance of them using e-learning for TPD (r = 0.86, p &lt; 0.001).</p><p>The results suggested that the ESL teachers in Malaysia were inclined to accept e-learning for professional development. The relationships amongst the four constructs varied in terms of significance and strength. Comparatively, the results favourably addressed the research questions with the exclusion of research question 2.</p></sec><sec id="s5"><title>5. Discussion</title><p>The results of this study indicated the plausibility of TAM as a reliable model to gauge the levels of acceptance toward e-learning for professional development amongst Malaysian ESL teachers. The means computed through statistical analysis for acceptance levels revealed that the participants judged their acceptance as moderately high, with all construct mean scores recorded higher than 3.5. Perhaps ESL teachers in Malaysia have embraced the rapid advancement of instructional technologies, augmenting their experiential learning (Kalinowski, Gronostaj, &amp; Vock, 2019). This bodes well with the notion of using e-learning in TPD that positively relates to addressing learners and their specific needs (Tay, 2016). The results help provide vital data to online course instructors to develop better modules and facilitate learning more effectively (Asabere &amp; Enguah, 2012).</p><p>Additionally, the ESL teachers’ acceptance of the perceived usefulness of e-learning was positively correlated with their behavioural intention to use and actual use, reminiscent of the contentions of previous studies (Davis, 1989; Davis, Bagozzi, &amp; Warshaw, 1989). For instance, one assumption is that the more the teachers perceived e-learning as being useful, the more likely they intend to use it for their TPD. Another example is that the more teachers indicated an intention to use, the greater the chance of them actually using e-learning for TPD. Thus, highlighting the quest to promote individual intention to use technology, a favourable perception of the usefulness of technology is critical (Parkes, Stein, &amp; Reading, 2015).</p><p>From a pedagogical perspective, the results brought forth other implications. Despite recent development and novel milestones, tangible barriers exist in sustaining a positive attitude in an e-learning setting (Tay, 2016). However, the respondents’ scores for perceived usefulness of e-learning for TPD were indicative of a more open perception of embracing current instructional technologies and educational trends. Crucial to the endeavour will be developing a suite of online training tools and selecting a suitable learning management system (LMS). The study by Preece and Hamed (2020) maintained that educators must build a dynamic learning atmosphere for learners and recognise, plan and manage ongoing learning opportunities within their professional practice.</p><p>The study was not without some limitations, bound within certain parameters. For instance, the finding that corroborated ESL teachers’ perceived ease of use of technology while wearing a learner’s hat did not have a significant relationship proven by the correlation’s coefficient. It was indicative of the concerns raised by previous research that many factors could influence acceptance and readiness (Thorne, 2020; Blanchard, LePrevost, Tolin, &amp; Gutierrez, 2016; Farris, 2015; Booth &amp; Kellogg, 2015; Scott &amp; Scott, 2010; Huang, 2002). Previous studies also reported a varying degree of success despite the existence of either all or any one of those elements (Mohalik &amp; Sahoo, 2020; Ngampornchai &amp; Adams, 2016; Easton, 2013).</p><p>The study, furthermore, was limited to some respondents who were participants in an asynchronous online course. Although the ESL teachers who participated could still discuss and communicate with fellow course participants, the stark reality was they knew it was a matter of to each his own. The crux of the matter was whether this situation influenced their perceived ease of use and perceived usefulness superfluously, considering learners and instructors are separated both physically and time wise (Al-Azawei &amp; Lundqvist, 2015).</p></sec><sec id="s6"><title>6. Conclusion</title><p>Although proponents of e-learning may have painted an idyllic scene where course participants can learn at their own pace and place, the reality may not be as picture-perfect. Participating in e-learning courses is not a leisurely task, perhaps more so in working adults such as the respondents in this study. Therefore, e-learning courses should be structured to improve the overall learning experience, whereby instructors and designers should capitalise on the comparative strengths of online interactions and human experiences. Online learning courses should be refreshed periodically, and ESL teachers need to acknowledge the importance of e-learning for professional development to ensure successful implementation of it in future endeavour. Correspondingly, the complexities that arise in the e-learning engagement research should be addressed appropriately. Specific factors and incentives need to be identified to encourage more teachers to accept e-learning for professional development, in line with the Malaysia Education Blueprint. Providers of e-learning courses should focus on fostering positive views of e-learning, ease of use, and encouraging actual use amongst future TPD participants besides incorporating the advancement of Education 4.0. In conclusion, the advantages of e-learning outweigh its drawbacks and shall remain an indispensable pedagogical phenomenon for years to come.</p></sec><sec id="s7"><title>Acknowledgements</title><p>The authors would like to thank Universiti Kebangsaan Malaysia under the Research Grant number 1) GG-2020-027 and 2) GG-2021-003 for supporting this project.</p></sec><sec id="s8"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s9"><title>Cite this paper</title><p>Omar, N., &amp; Hashim, H. (2021). A Survey on the Acceptance of E-Learning for Professional Development amongst English as a Second Language (ESL) Teachers in Malaysia. 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