About the Author(s)


Liepollo Ntlhakana Email symbol
Department of Audiology, Faculty of Humanities, University of the Witwatersrand, Johannesburg, South Africa

Aadilah Alli symbol
Department of Audiology, Faculty of Humanities, University of the Witwatersrand, Johannesburg, South Africa

Citation


Ntlhakana, L., & Alli, A. (2024). ‘[M]y own pace and space, without the pressures’: Online learning experiences of audiology students. South African Journal of Communication Disorders, 71(1), a1012. https://doi.org/10.4102/sajcd.v71i1.1012

Original Research

‘[M]y own pace and space, without the pressures’: Online learning experiences of audiology students

Liepollo Ntlhakana, Aadilah Alli

Received: 12 Sept. 2023; Accepted: 11 Feb. 2024; Published: 22 May 2024

Copyright: © 2024. The Author(s). Licensee: AOSIS.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Background: Online learning has been used to improve students’ learning experiences and to allow students to engage with their own learning in various spaces. However, there is a dearth of literature on students’ experiences with online learning in the field of audiology.

Objectives: This study aimed to describe the conditions of online learning, explore the challenges and benefits of online learning and determine strategies that students employ while engaging with online learning.

Method: An exploratory qualitative research design was employed. Audiology students from the second to the fourth year participated in the study. Qualitative data were collected online via MS Teams using a semi-structured interview schedule with the participants. Thematic analysis was used to analyse the participants’ interviews.

Results: Most of our participants were females in their fourth year of study. The students accessed the online learning platforms procured by the university from their homes, with reported benefits such as the flexibility and independence of learning, and time and cost-effectiveness. However, challenges such as limited internet connectivity, issues with time management and inconsistent power supply restricted positive experiences with online learning.

Conclusion: The online learning benefits that were reported by the students and the compensatory strategies they employed facilitated self-regulated learning. The study’s findings highlighted the need for continuous checking-in with students regarding their experiences with the learning approaches intended to improve engagement with their courses. These results could be used as a guide for curriculum planning that is student-focused.

Contribution: Students’ experiences explored in our study provided a guide for online learning approaches that were suitable for audiology students. Student-centred and self-regulated learning practices were highlighted and future studies may further explore these frameworks and theories.

Keywords: online; learning; qualitative; audiology students; experiences; self-regulated; instructors.

Introduction

Online learning as a domain of learning has implications for students’ experiences and perceptions of learning in institutions of higher learning (IHL). Online learning can be defined as a method of education whereby students learn virtually through electronic technologies and media (Tamm, 2020). This learning approach was first introduced in the early 1990s during the early days of the internet and became most prevalent in IHL worldwide during coronavirus disease (COVID-19) pandemic hard lockdown (World Health Organization, 2020). During this period, a quick transition to emergency remote teaching (ERT) took place, and more than 80% of students in the Global North seamlessly continued with online learning with minor challenges, but the experiences of students in the Global South were different (Laher et al., 2021; Mupawose et al., 2021; Thome et al., 2020; UNESCO, 2020). The differences in students’ experiences of online learning highlighted possible restrictions that limited access to online learning for students in the Global South (Laher et al., 2021).

To prioritise access to online learning in South Africa, IHL introduced the new ERT, which was intended for continuous learning and teaching during the COVID-19 hard lockdown in 2020 (University of the Witwatersrand, 2020). However, this was met with some challenges such as limited time allocated to design courses and for students to access online courses (Rawashdeh et al., 2021; Rad et al., 2021), and acquaintance with using new learning management systems (LMS), which restricted the timeous adoption of online learning to both the students and the lecturers (Mpungose, 2020). In addition, limitations around infrastructure, for example, buildings that did not support online learning and the lack of consistent and reliable electricity supply affected other functions such as access to the internet and usability of training equipment, which in turn further exacerbated exclusions to online learning for students most notably for students in low-to-middle-income countries (LMICs) (Dube, 2020; Singh et al., 2022; Zarei & Mohammed, 2021; Mupawose et al., 2021). Additional challenges reported by students were around engagement with course content in the absence of course instructors during theoretical and clinical teaching (Kim et al., 2021; Laher et al., 2021). Although these had negative implications on students’ experiences with online learning, there is a dearth of knowledge specific to the students in the audiology programmes in South Africa, thus, online learning approaches that were student-centred and designed for students in LMICs should be reimagined continuously (Babu & Reddy, 2015; Khoza-Shangase et al., 2021).

Student-centred learning approaches promote integrated educational programmes intended to encourage students’ engagement with their own learning (Lee & Hannafin, 2016; Panadero, 2017). Previous studies have reported the successful application of the practices of online learning with students in healthcare professions such as speech therapy, audiology, dentistry, medicine and nursing programmes (Khoza-Shangase et al., 2021; Kim et al., 2021; Masuku & Mupawose, 2022); however, these studies were not foregrounded on the student-centred learning approaches. Ölçek et al. (2021) reported that some audiology students struggled to grasp knowledge of the theoretical courses in audiology that were offered online. Thus, Ölçek et al. (2021) suggested that the audiology department’s curriculum review should align the theory courses with the audiology practicum competency outcomes. However, audiology programmes in South Africa already follow a curriculum that was guided by competency outcomes as mandated by the Health Professions Council of South Africa (HPCSA, 2017). Therefore, it was imperative to contextualise competency-based outcomes through empirical evidence to determine indicators for student-centred learning suitable for audiology programmes in South Africa.

Therefore, a need to continuously explore research in online learning that was student-centred during and post-pandemic and specific to IHL for audiology programmes in South Africa was crucial. Students’ experiences and engagements with online courses and learning materials vary, thus, working within frameworks that were student-focused accommodated and motivated students to own their learning and encouraged self-directed learners (Bączek et al., 2021; Bharuthram & Kies, 2013; Laher et al., 2021; Winne & Marzouk, 2019). However, there was a dearth of evidence-based literature that simultaneously investigated students’ learning experiences and socio-emotional well-being during and post-pandemic. Hence, it was important to understand the students’ experiences that best supported online learning and were student-focused.

Research methods and design

Aim

This study aimed to explore the online learning experiences of audiology students at a South African university.

Objectives
  • To describe conditions influencing the online learning experiences of audiology students
  • To explore the challenges and benefits of online learning that impact the experiences of audiology students
  • To determine strategies that audiology students employed when engaging with online learning.
Research design

An exploratory qualitative research design was employed to understand the experiences of audiology students regarding online learning. The participants’ features for students between the second and fourth years of study were described as guided by the research objectives and based on the study’s inclusion criteria (Leedy & Ormrod, 2021).

Study setting

The study site was the Department of Speech Pathology and Audiology, Audiology Division, at the University of the Witwatersrand. This context was chosen because of its feasibility, convenience and easy access to participants at the University of the Witwatersrand. The audiology department (study site) employed online learning, which was readily phased in as per the university’s implementation teaching and learning plan for 2020–2024 (University of the Witwatersrand, 2020). Online platforms, including Microsoft Teams (MS Teams) and Big Blue Button (BBB), are LMS that have been used since 2020. Prior to the COVID-19 pandemic, audiology students used an LMS called Sakai and later the introduction into Ulwazi (canvas) in 2021. In 2021, the university introduced a blended learning approach and lecturers designed their blended learning courses as Ulwazi courses to ensure access to course materials, lecturers for consultations and course assessments.

Participants

In this study, participants were selected using a purposive sampling method (Showkat & Parveen, 2017). Audiology students from the second to fourth year who were registered during the period from 2020 to 2022 were invited to participate in the study. The researchers followed two steps to reach the participants: (1) the administrator of the audiology department distributed the participant information sheet to the participants via email and (2) potential participants interested in participating in this study were asked to directly contact the researcher. Subsequently, the snowball sampling technique was used to attract additional participants (Naderifar et al., 2017). At the point of data saturation, a total of 10 (n = 10) participants were reached. Data saturation was determined by the repetitiveness of the participants’ responses and the researchers’ belief that after coding the eighth interview, no new codes emerged from additional interviews (Saunders et al., 2017).

Table 1 illustrates the participants’ demographic information. Nine of the 10 participants were females, with the age range between 19 and 29 years. The majority of our participants were in their fourth year of study, which is the final year of an undergraduate professional degree. All our participants were students who were commuting daily from home to the university.

TABLE 1: Participants’ demographic information.
Data collection

The data were collected using a self-designed interview guide (Appendix 1) that was informed by the literature and the study aim. This tool was pre-tested before being used in the main study. Semi-structured interviews were conducted with the 10 participants. These semi-structured interviews that lasted approximately 35 min, were conducted on Microsoft Teams. While six participants agreed to use the video option, four chose to keep their videos off during the interviews. The interviews were audio recorded using the recording feature on MS Teams, to allow the researcher to review and replay the interviews, transcribe data and identify key information during data analysis (Cook, n.d.). The researcher (A.A.) maintained a reflexive journal to document their position as an audiology student while collecting data for the study (Haynes, 2012).

Data analysis

Interview transcriptions were analysed using thematic analysis, which facilitated the identification, organisation, and description of themes. These themes were deductively coded based on the main study aim (Bingham & Witkowski, 2021). This provided valuable insights into the students’ experiences, which were essential for the final interpretations of the study’s findings (Braun & Clarke, 2006). Finally, member checking was employed to ensure consistency, transparency and truthfulness of the data collected (Birt et al., 2016; Cypress, 2017; Schwandt et al., 2007).

Ethical considerations

Before conducting data collection for the study, non-medical ethical clearance to conduct this study was obtained from the University of the Witwatersrand School of Human and Community Development Ethics Committee (no. STA_2022_23), and then participants were invited to participate. Participants who consented to participate in the study. During data collection, participants’ online interviews that were collected, were protected. In addition, access to interviews during data collection was controlled by using the waiting room feature to vet participants. The researcher (A.A.) employed the use of a reflexive journal to avoid interview bias (Haynes, 2012).

Results

The results presented in this section addressed the research question, which was ‘What are the experiences of audiology students regarding online learning?’ Four themes emerged from the data analysis and pertained to the audiology students’ experiences regarding online learning. These themes were: (1) learning spaces and devices used for online learning, (2) benefits of online learning, (3) challenges with online learning and (4) strategies employed to facilitate online learning. The themes are detailed hereafter, and the sub-themes and interview excerpts from participants are presented in Table 1, Table 2, Table 3 and Table 4.

TABLE 2: Learning spaces and information communication technology used by participants for online learning.
TABLE 3: Online learning benefits reportedly experienced.
TABLE 4: Online learning challenges reportedly experienced.
Learning spaces and information communication technology used for online learning

Table 2 indicates that participants could engage in online learning effectively at home but learning at home may have led to a lack of motivation. Furthermore, participants had access to and used computers, smartphones, and the internet for online learning.

Benefits of online learning

As reflected in Table 3, online learning allowed participants to spend more time learning and less time travelling to the university to attend lectures. Furthermore, online learning was overall cost-effective and less tiring for participants, as they did not need to travel to attend lectures. Learning online also allowed participants to learn in their own spaces, at their own pace, at times that were suitable to them, and learn more independently (Table 3).

Challenges with online learning

As indicated in Table 4, participants experienced challenges with online learning. They reportedly had limited input from instructors. They also encountered connectivity issues because of load-shedding and had difficulty maintaining a stable connection to LMS, which impacted their interactions with course content and lecturers. Participants also had difficulty managing their time. Learning online also affected participants getting to know their peers and it impacted their preparedness for clinical practicals.

Strategies employed to facilitate online learning

As reflected in Table 5, participants used these strategies as facilitators for online learning: self-regulated learning, consulting additional resources, instructor presence, provision of internet data bundles, integrated asynchronous and synchronous modes of learning and using a blended approach to online learning.

TABLE 5: Strategies employed to facilitate online learning.

Discussion

This qualitative study has provided insights into the online learning experiences of audiology students at a South African university. From the students’ experiences, online learning was reported to be beneficial, but it was not short of challenges, which were compensated for by using strategies for online learning. In addition, it seems that all students had similar online learning experiences regardless of the differences in their demographics.

Learning spaces and information communication technology infrastructure used for online learning

As implied by the students’ responses, it seems that when engaging in online learning they did so at their homes. The students indicated that their home environment is an optimal learning space for online learning, the space enabled effective and efficient learning at home, thus providing a conducive infrastructure that facilitated online learning. Our result was consistent with Gao et al. (2021) findings. Nevertheless, our finding seems to differ from those reported by Laher et al. (2021) who found that students had difficulties engaging in online learning at home because of having multiple responsibilities at home, such as family responsibilities, which resulted in a lack of motivation to engage in online learning. The participants in our study also reported a lack of motivation but theirs stemmed from the repetitive nature of the course setup for online learning. Our findings and those from Laher et al. (2021) emphasise differences in experiences among students who attended the same university and highlight the need to incorporate accommodations for diverse student needs during infrastructure planning for online learning (Bharuthram & Kies, 2013; Mupawose et al., 2021).

Benefits of online learning

Online learning as a pedagogical approach requires an efficient information communication technology (ICT) infrastructure to ensure quality learning and teaching and to improve students’ experiences of learning. Similar to the audiology students who participated in Kim’s (2021) study, our study participants favoured engaging in online learning at home because this was a more time and cost-effective mode of learning that offered more learning opportunities. As a result, the participants found online learning to be less exhausting than in-person learning sessions and were thus able to better prepare for assessments and organise their days efficiently. This finding may elaborate on the advantages of online learning (Gajura, 2021).

Online learning also seemed to allow for flexible students’ learning. The students were able to learn at their own pace, unpressurised, and at times that were most suitable to them. Therefore, these results support the findings obtained by Bączek et al. (2021) who also found that students deemed online learning to be advantageous as they were able to learn at their own pace and under comfortable conditions. Furthermore, our study findings and those from Bączek et al.’s (2021) study may be integrated into the expanded description of flexible learning, which supports the notion of providing students with the choice of where and when to learn (Lee & Hannafin, 2016). In addition, flexible online learning encourages self-discipline (Bączek et al. 2021), which are potential attributes that support students’ independence in their learning (Winne & Marzouk, 2019). Therefore, the benefits of online learning bode well with higher-order thinking necessary for a self-regulated who is motivated to improve their learning experiences.

Challenges with online learning

However, challenges associated with time management during online learning were noticed. Participants in our study found online learning to be challenging as they had to manage their own study time, which contradicts the benefit of time effectiveness as reported by the same participants. The participants attributed their difficulties with time management to procrastination, which is associated with planning or lack thereof. According to Laher et al. (2021) and Rawashdeh et al. (2021), the authors suggested that increased workloads, difficulties structuring the day, multiple responsibilities, a lack of concentration, and unstructured lesson plans consequently lead to poor time management, particularly when engaging in online learning at home (Rawashdeh et al., 2021; Laher et al., 2021). Therefore, the flexibility and independence brought by the online learning approach may not always result in improved preparedness and planning even with adequate infrastructure to support online learning experiences for students.

The active presence of a course instructor aids in students’ active engagement with the course content and allows for student-instructor engagement (Kim et al., 2021). However, some of our participants reported a seemingly limited experience with their course instructors. Laher et al. (2021) found that limited instructor presence resulted in students not understanding the course content. Our findings supported Laher et al.’s (2021) findings, as the students seemed to struggle to engage with the course content in the absence of the course instructors. Furthermore, students reported limited opportunities for peer interactions during online learning, these seemed to be restricted to course-related work, with few opportunities to get to know their peers or form friendships. Laher et al. (2021) found the same among undergraduate psychology students and concluded that this limited peer interaction may lead to students experiencing isolation. Thus, limited instructor presence and peer-to-peer interactions were barriers to building a sense of community among students to encourage collaborative work with the hope of improving students’ experiences with online learning.

Encountering connectivity issues also resulted in online learning being challenging for the students. Our study participants reported that load shedding led to unstable internet connection and failure to power up their devices; similar findings have been reported previously (Azionya & Nhedzi, 2021; Barber & Sher, 2022; Laher et al., 2021). Students also reported experiencing connectivity issues to the LMS and ICT; these disrupted their focus and limited their engagement with synchronous online learning activities, which may have resulted in them missing out on learning opportunities.

Students also felt unprepared for clinical practicals when engaging in online learning, a similar finding was reported by audiology students studying in the United States of America and Turkey (Ölçek et al., 2021; Thome et al., 2020). The students whose responses are reflected in our study seemed to attribute their lack of preparedness for clinical practicals to the limited understanding of theoretical course content. In their strategies for improved clinical training, the participants in our study alluded to in-person clinical training being the most effective means to develop clinical competency, which is similar to the findings obtained by Thome et al. (2020). Seventy-two per cent of the audiology students who participated in the study conducted by Thome et al. (2020) in their survey reported that in-person clinical training was more effective than receiving clinical training through simulations and telepractice. However, traditional in-person clinical training and simulations were complementary learning approaches that improved clinical competency and students’ clinical training experience (Nagdee et al., 2022).

Strategies employed to facilitate online learning

To facilitate online learning and possibly reap the benefits and overcome the challenges experienced with online learning, the students seemed to have employed strategies that were centred around self-regulated learning (SRL) (Dörrenbächer & Perels, 2016; Panadero, 2017). The participants reported that the following strategies such as consulting supplementary material, instructor presence, and provision of internet data bundles for free and accommodations, combining synchronous and asynchronous modes of learning, and blended learning improved their online learning experiences. Furthermore, Tugtekin (2022) and Barber and Sher (2022) suggested that these strategies were commonly employed by students in higher education to facilitate their ability to manage and comprehend extensive coursework. This was observed during online learning when students engaged independently with content and consulted supplementary materials such as watching videos to increase their learning (Kim et al., 2021). Similar findings were reported by Queiros and De Villiers (2016) that supplementing course material with video clips, allowed students to better understand the course content. In our findings, students reported that the application of SRL strategies, which allowed them to own their learning and accommodate variations in students’ learning strategies. However, theories and models of SRL were not integrated into our study; thus, there is a need to consider these in future research.

A combination of synchronous and asynchronous modes of learning is student-centred and encourages students’ engagement with learning (Lee & Hannafin, 2016). According to the students’ reports in our findings, the use of multiple modes of learning that supplement and complement each other provided them with opportunities to reinforce their understanding of the course content and improve their learning experience. This finding differs from the findings obtained by Singh et al. (2022) who found that when using synchronous and asynchronous modes of online learning audiology students experienced online learning fatigue. However, Singh et al. (2022) attributed this to students’ varying educational levels and their limited experience with online learning. In addition and supporting Singh et al. (2022); and Kim et al. (2021) findings, the students in our study preferred the blended learning approach (Dziuban et al., 2018), which allowed for flexible and independent learning and provided students with opportunities to engage with the course content and co-create with their peers. Our findings highlighted the need to explore the application of student-centred learning theories and practices in online learning for students registered in audiology programmes.

Study’s strengths

There is a growing interest in understanding students’ experiences as independent life-long learners at institutions of higher learning in South Africa; thus, this study presents findings from students at different educational levels. In addition, the qualitative interviews conducted with the students provided a deeper insight into students’ experiences with online learning. Furthermore, this study employed member checking to ensure participants’ experiences were reflected accurately and truthfully.

Study’s limitations

Our use of qualitative interviews as the only data collection tool possibly restricted our findings. While the themes of this study managed to explore and understand the audiology students’ experiences of online learning, only one site was used. Yet, it would be beneficial to understand the experiences of audiology students from other universities across South Africa and to also include postgraduate students registered in the same programme.

Conclusion

The experiences of audiology students who engaged with online learning indicated that most students’ homes were spaces of learning that offered a supportive environment for learning. Online learning offered nuanced benefits that encouraged students to apply self-regulated strategies and to own their learning. The flexibility and cost-effectiveness aspects associated with online learning were favoured by the students and bode well with online learning as facilitators for independent learners. The themes that emerged from this research study provide important insight into online learning approaches, although integrated informally by the students, but were used to improve SRL and student-centred learning and highlighted audiology students’ experiences with online learning. While students reported challenges with online learning such as connectivity issues, load shedding and difficulty managing their time, these were outweighed by the reported benefits, which essentially resulted in overall improved experiences and motivation to use online learning. Finally, our findings provided evidence-based knowledge on the audiology students’ experiences with online learning which may be used to guide curriculum planning for programmes in a South African context.

Acknowledgements

The authors would like to acknowledge the study participants who contributed to data collected for this study. The authors would like to acknowledge Nabeelah Nagdee for the valuable contribution to the original study. This article is based on the undergraduate research study conducted for the completion of a Bachelor of Arts degree in Speech Pathology and Audiology at the University of the Witwatersrand.

Competing interests

The authors declare that they have no financial or personal relationships that may have inappropriately influenced them in writing this article.

Authors’ contributions

A.A. conceptualised the idea for the research, as well as the design and methodology adopted, with assistance from L.N. A.A. collected the data for the study and analysed these under the supervision of L.N. L.N. was the lead author who drafted, shaped and finalised the full manuscript. A.A. and L.N. read and approved the final manuscript.

Funding information

This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors.

Data availability

Data sharing does not apply to this article as no new data were created or analysed in this study.

Disclaimer

The views and opinions expressed in this article are those of the authors and are the product of professional research. It does not necessarily reflect the official policy or position of any affiliated institution, funder, agency, or that of the publisher. The authors are responsible for this article’s results, findings, and content.

References

Al-Rawashdeh, A.Z., Mohammed, E.Y., Al Arab, A.R., Alara, M., & Al-Rawashdeh, B. (2021), Advantages and disadvantages of using e-learning in university education: Analyzing students’ perspectives. Electronic Journal of E-learning, 19(3), 107–117.

Azionya, C.M., & Nhedzi, A. (2021). The digital divide and higher education challenge with emergency online learning: Analysis of tweets in the wake of the COVID-19 lockdown. Turkish Online Journal of Distance Education, 22(4), 164–182.

Babu, N., & Reddy, B.S. (2015). Challenges and opportunity of e-learning in developed and developing countries-a review. ResearchGate. Retrieved from https://www.researchgate.net/publication/282286273_Challenges_and_Opportunity_of_E-Learning_indeveloped_anddeveloping_Countries-A_Review

Bączek, M., Zagańczyk-Bączek, M., Szpringer, M., Jaroszyński, A., & Wożakowska-Kapłon, B. (2021). Students’ perception of online learning during the COVID-19 pandemic: A survey study of Polish medical students. Medicine, 100(7), e24821. https://doi.org/10.1097/MD.0000000000024821

Barber, N., & Sher, J. (2022). Exploring the online learning experience of first-year speech–language pathology students in a Johannesburg based university. South African Journal of Communication Disorders, 69(2), a914. https://doi.org/10.4102/sajcd.v69i2.914

Bharuthram, S., & Kies, C. (2013). Introducing e-learning in a South African Higher Education Institution: Challenges arising from an intervention and possible responses. British Journal of Educational Technology, 44(3), 410–420. https://doi.org/10.1111/j.1467-8535.2012.01307.x

Bingham, A.J., & Witkowsky, P. (2021). Deductive and inductive approaches to qualitative data analysis. In C. Vanover, P. Mihas, & J. Saldaña (Eds.), Analyzing and interpreting qualitative data: After the interview (pp. 133–146). Sage.

Birt, L., Scott, S., Cavers, D., Campbell, C., & Walter, F. (2016). Member checking: A tool to enhance trustworthiness or merely a nod to validation? Qualitative Health Research, 26(13), 1802–1811.

Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa

Cook, B. (n.d.). Are you recording this? The case for audio recording of interviews. Retrieved from https://cdn.ymaws.com/www.awi.org/resource/collection/10D407F9-FB41-42D6-BEF0-9C506A8CAC20/Are%20you%20recording%20this%20(Paper)%20clean%20-%20Bryan%20C.pdf

Cypress, B.S. (2017). Rigor or reliability and validity in qualitative research. Dimensions of Critical Care Nursing, 36(4), 253–263. https://doi.org/10.1097/dcc.0000000000000253

Dörrenbächer, L., & Perels, F. (2016). Self-regulated learning profiles in college students: Their relationship to achievement, personality, and the effectiveness of an intervention to foster self-regulated learning. Learning and Individual Differences, 51, 229–241. https://doi.org/10.1016/j.lindif.2016.09.015

Dube, B. (2020). Rural online learning in the context of covid-19 in South Africa: Evoking an inclusive education approach. Multidisciplinary Journal of Educational Research, 10(2), 135–157. https://doi.org/10.4471/remie.2020.5607

Dziuban, C., Graham, C.R., Moskal, P.D., Norberg, A., & Sicilia, N. (2018). Blended learning: The new normal and emerging technologies. International Journal of Educational Technology in Higher Education, 15(1), 3. https://doi.org/10.1186/s41239-017-0087-5

Gajura, C. (2021). Online learning: Revealing the benefits and challenges. eLearning Industry. Retrieved from https://elearningindustry.com/online-learning-revealing-benefits-and-challenges

Gao, H., Ou, Y., Zhang, Z., Ni, M., Zhou, X., & Liao, L. (2021). The relationship between family support and e-learning engagement in college students: The mediating role of e-learning normative consciousness and behaviours and self-efficacy. Frontiers in Psychology, 12, 573779. https://doi.org/10.3389/fpsyg.2021.573779

Haynes, K. (2012). Reflexivity in qualitative research. ResearchGate. Retrieved from https://www.researchgate.net/publication/286352842_Reflexivity_in_qualitative_research

Health Professions Council of South Africa (HPCSA). (2017). Regulations defining the scope of the profession of speech language therapy. Department of Health. Retrieved from https://www.hpcsa.co.za/Uploads/SLH/Rules%20and%20Regulations/Regulations_defining_the_scope_of_the_profession_of_Speech_Language_Therapy%20.pdf

Kim, J., Tark, P., & Lee, S. (2021). A focus group qualitative analysis on the real-time online learning experience of students majoring in Speech-Language Pathology and Audiology. Communication Sciences & Disorders, 26(3), 742–754. https://doi.org/10.12963/csd.21841

Khoza-Shangase, K., Moroe, N., & Neille, J. (2021). Speech-language pathology and audiology in South Africa: Clinical training and service in the era of COVID-19. International Journal of Telerehabilitation, 13(1). https://doi.org/10.5195/ijt.2021.6376

Laher, S., Bain, K., Bemath, N., De Andrade, V., & Hassem, T. (2021). Undergraduate psychology student experiences during COVID-19: Challenges encountered, and lessons learnt. South African Journal of Psychology, 51(2), 215–228. https://doi.org/10.1177/0081246321995095

Lee, E., & Hannafin, M.J. (2016). A design framework for enhancing engagement in student-centered learning: own it, learn it, and share it. Educational Technology Research and Development, 64, 707–734. https://doi.org/10.1007/s11423-015-9422-5

Leedy, P., & Ormrod, J. (2021). Practical research: Planning and design (12th ed.). Pearson Education Limited.

Masuku, K.P., & Mupawose, A. (2022). Students’ experiences of using a writing-intense programme to facilitate critical thinking skills on an online clinical training platform: A pilot study. The South African Journal of Communication Disorders, 69(2), e1–e7. https://doi.org/10.4102/sajcd.v69i2.919

Mpungose, C.B. (2020). Emergent transition from face-to-face to online learning in a South African University in the context of the Coronavirus pandemic. Humanities and Social Sciences Communications, 7(1), 113. https://doi.org/10.1057/s41599-020-00603-x

Mupawose, A., Moonsamy, S., & Adams, S. (2021). Chapter 7: The role of ICT insupporting students experiencing barriers to learning in the ODel. Studies in Inclusive Education. 49, 114–133. https://doi.org/10.1163/9789004447226

Naderifar, M., Goli, H., & Ghaljaie, F. (2017). Snowball sampling: A purposeful method of sampling in qualitative research. Strides in Development of Medical Education, 14(3). https://doi.org/10.5812/sdme.67670

Nagdee, N., Sebothoma, B., Madahana, M., Khoza-Shangase, K., & Moroe, N. (2022). Simulations as a mode of clinical training in healthcare professions: A scoping review to guide planning in speech-language pathology and audiology during the COVID-19 pandemic and beyond. South African Journal of Communication Disorders, 69(2), a905. https://doi.org/10.4102/sajcd.v69i1.905

Ölçek, G., Çelik, İ., Başoglu, Y., & Serbetçioglu, M.B. (2021). Investigation of the effects of the COVID-19 pandemic on audiology students in Turkey: A cross-sectional survey study in the COVID-19 era. Frontiers in Public Health, 9, 650981. https://doi.org/10.3389/fpubh.2021.650981

Panadero, E. (2017). A review of self-regulated learning: Six models and four directions for research. Frontiers in Psychology, 8, 250270. https://doi.org/10.3389/fpsyg.2017.00422

Queiros, D.R., & De Villiers, M.R. (2016). Online learning in a South African higher education institution: Determining the right connections for the student. The International Review of Research in Open and Distributed Learning, 17(5). 165–185. https://doi.org/10.19173/irrodl.v17i5.2552

Rad, F.A., Otaki, F., Baqain, Z., Zary, N., & Al-Halabi, M. (2021). Rapid transition to distance learning due to COVID-19: Perceptions of postgraduate dental learners and instructors. PLoS One, 16(2), e0246584. https://doi.org/10.1371/journal.pone.0246584

Saunders, B., Sim, J., Kingstone, T., Baker, S., Waterfield, J., Bartlam, B., Burroughs, H., & Jinks, C. (2017). Saturation in qualitative research: Exploring its conceptualization and operationalization. Quality & Quantity, 52(4), 1893–1907. https://doi.org/10.1007/s11135-017-0574-8

Singh, J., Evans, E., Reed, A., Karch, L., Qualey, K., Singh, L., & Wiersma, H. (2022). Online, hybrid, and face-to-face learning through the eyes of faculty, students, administrators, and instructional designers: Lessons learned and directions for the post-vaccine and post-pandemic/COVID-19 world. Journal of Educational Technology Systems, 50(3), 301–326. https://doi.org/10.1177/00472395211063754

Schwandt, T.A., Lincoln, Y.S., & Guba, E.G. (2007). Judging interpretations: But is it rigorous? Trustworthiness and authenticity in naturalistic evaluation. New Directions for Evaluation, 2007(114), 11–25. https://doi.org/10.1002/ev.223

Showkat, N., & Parveen, H. (2017). Non-probability and probability sampling. Media and Communication Studies. e-PG Pathshala. Retrieved from https://www.researchgate.net/publication/319066480_NonProbability_and_Probabilitsampling

Tamm, S. (2020). What is the definition of e-learning? E-Student. Retrieved from https://e-student.org/what-is-e-learning/

Thome, E.K., Loveall, S.J., & Henderson, D.E. (2020). A survey of speech-language pathologists‘ understanding and reported use of evidence-based practice. Perspectives of the ASHA Special Interest Groups, 5(4), 984–999. https://doi.org/10.1044/2020_PERSP-20-00008

Tuğtekin, U., (2022), The investigation of information and communication technology overload and social networking service fatigue among college students. Journal of Education for Life, 36(1), 126–145.

United Nations Educational, Scientific and Cultural Organization (UNESCO). (2020). Global education monitoring report 2020: Inclusion and education: All means all. 92310038. UNESCO.

University of the Witwatersrand. (2020). Speech pathology and audiology – Wits University. Wits.ac.za. Retrieved from https://www.wits.ac.za/shcd/speech-pathology-and-audiology/

Winne, P.H., & Marzouk, Z. (2019). Learning strategies and self-regulated learning. In J. Dunlosky & K.A. Rawson (Eds.), The Cambridge handbook of cognition and education (pp. 696–715). Cambridge University Press.

World Health Organization. (2020). Coronavirus. World Health Organization. Retrieved from https://www.who.int/health-topics/coronavirus#tab=tab_1

Zarei, S., & Mohammadi, S. (2021). Challenges of higher education related to e-learning in developing countries during COVID-19 spread: A review of the perspectives of students, instructors, policymakers, and ICT experts. Environmental Science and Pollution Research, 29(57), 85562–85568. https://doi.org/10.1007/s11356-021-14647-2

Appendix 1: Interview guide

  1. Tell me about your experiences with online learning at Wits.

  2. Tell me about your experiences with online learning in comparison with in-person learning and blended learning.

  3. How was online learning beneficial to you? If any, what were the challenges that you may have experienced with online learning?

  4. If at all, how has online learning influenced your clinical practical experience?

  5. Please describe your experiences with online learning during the COVID-19 pandemic.

  6. What support would you like with engaging with online learning? – Who should provide this support and why?

  7. Please tell me about your experiences with engaging with your work.

  8. Tell me about the mode of delivery of your work. – Do you prefer live lectures or recorded lectures, and why?

  9. Tell me about the strategies you employed when you were engaging with online learning.

  10. What changes would you make to online learning at Wits?



Crossref Citations

No related citations found.