182023 41(1): 18-37 https://doi.org/10.38140/pie.v41i1.6318 Factors affecting students’ use of a data-free instant messenger for on-line peer tutoring: a large, undergraduate class at a historically disadvantaged university Abstract There is a need for synchronous and inclusive online peer tutoring in large, undergraduate classes. As a lack of data or internet connectivity may limit online peer tutoring, the use of a data-free instant messenger was implemented for online tutoring in a class of 342 students. The Moya application allows students to chat and send voice notes to tutors and peers without using data. Sending attachments incurs data costs but the amount of data is displayed prior to downloading. The qualitative interpretivist case study used data collected from purposive sampling via an online survey. Consent was received from 252 third-year Information Systems students at a historically disadvantaged university. Qualitative data were analysed via thematic content analysis using the Unified Theory of Acceptance and Use of Technology 2 model as a theoretical basis. Findings indicate that the majority of students (85.7%) did not use the data-free Moya instant messenger. Reasons for the low usage included a negative performance expectancy, as students did not see the benefit in using the application to engage with peers or tutors. Perceived effort expectancy was low, as students did not desire to learn to use a new application. Results showed that using WhatsApp was a habit. Moreover, social influence was a factor, as fellow students and tutors were also using WhatsApp. Students recommended increasing awareness of the Moya application and providing training. The price value was expected to be a significant factor as this application does not require data, but this was not the case. Facilitating conditions show that students had data for WhatsApp. Moya has the same interface design as the preferred WhatsApp so learning to use the application should require minimal effort. The unexpected findings indicate that students prefer WhatsApp, an instant messenger that requires data, over a data- free instant messenger. The findings leave lecturers questioning whether using WhatsApp for online peer tutoring is the more viable option. Keywords: Data-free, large classes, mobile instant messenger, online peer tutoring, Unified Theory of Acceptance and Use of Technology 2 AUTHOR: Dr Fazlyn Petersen1 AFFILIATION: 1University of the Western Cape, South Africa DOI: https://doi.org/10.38140/ pie.v41i1.6318 e-ISSN 2519-593X Perspectives in Education 2023 41(1): 18-37 PUBLISHED: 31 March 2023 RECEIVED: 20 May 2022 ACCEPTED: 14 March 2023 Research Article https://doi.org/10.38140/pie.v41i1.6318 https://orcid.org/0000-0003-4592-2861 https://doi.org/10.38140/pie.v41i1.6318 192023 41(1): 19-37 https://doi.org/10.38140/pie.v41i1.6318 Petersen Factors affecting students’ use of a data-free instant messenger 1. Introduction South African higher education is plagued by inequalities due to the legacies of apartheid. Student demographics reveal that more than 50% of enrolment in higher education is from black, working-class, disadvantaged households from rural areas who are dependent on the National Student Financial Aid Scheme (NSFAS) (Mzileni, 2020). Consequently, the student population is likely affected by data costs. The historically disadvantaged institution (HDI) in this study, based in the Western Cape, South Africa, is committed to providing access to quality education to historically marginalised population groups, predominantly students of colour (University of the Western Cape, 2019). To provide quality education during the COVID-19 pandemic necessitated the use of online modes for tutoring. Online tutoring can also be applied post-COVID-19, but may exclude students from historically marginalised population groups due to the cost. The article examines two asynchronous tools implemented for online tutoring to provide insight into future use of such technologies in the post-COVID-19 era. Tutoring is defined as “people who are not professional teachers helping and supporting the learning of others in an interactive, purposeful and systematic way” (Topping, 2000:3). This research uses peer tutoring. Peer tutors are students who have completed the course previously and assist current students with their studies. Tutoring is both versatile and transformative (Nickow, Oreopoulos & Quan, 2021), providing more practice and simpler vocabulary with prompter feedback (Topping, 2000). The use of peer tutoring improved students’ performance at a Spanish university (Arco-Tirado, Fernández-Martín & Hervás- Torres, 2019). Research has determined that tutoring shows improvements in socio-emotional skills, well-being, aspirations and psychological skills (Carlana & La Ferrara, 2021). Tutoring using asynchronous tools such as discussion boards and forums (Turrentine & MacDonald, 2006) is likely to be less data intensive. However, research indicates that the use of asynchronous cooperative learning may fail, as students feel disconnected (Peterson, Beymer & Putnam, 2018). On the other hand, students’ use of synchronous peer learning to discuss challenging problems is evidenced to produce better outcomes and stronger morale in an online setting (Coetzee et al., 2015). In addition, students feel more connected, have a greater sense of belonging and improve mental processing when using synchrony (Peterson et al., 2018). In the future, students may not always be able to engage face to face. As institutions move towards more hybrid models of education, they increasingly combine traditional classroom teaching with distance education using information technology resources (Misaghi et al., 2021). The need for more inclusive synchronous, real-time learning and tutoring may increase in prevalence. With that, the use of mobile instant messaging (MIM) as a means of providing more inclusive synchronous tutoring should be considered. Research into MIMs such as WhatsApp has explored uses for teaching and learning (Tang & Hew, 2017). Based on the typology of peer tutoring by Topping (1996), Table 1 shows the application of this research. https://doi.org/10.38140/pie.v41i1.6318 202023 41(1): 20-37 https://doi.org/10.38140/pie.v41i1.6318 Perspectives in Education 2023: 41(1) Table 1: Typology of peer tutoring Dimension Application to this research Curriculum Content Tutors use MIM to help students understand the undergraduate Information Systems course content. Tutors also assist with queries regarding formative assessments like quizzes and discussion forums. Contact Constellation Due to the large class size of 342 students, two WhatsApp groups and one Moya group were established. There were six tutors, three lecturers and a teaching assistant. Tutors were asked to join the WhatsApp groups and the Moya group. However, tutors preferred to use WhatsApp. Due the low number of students who joined the Moya groups, the six tutors where allocated to WhatsApp. The teaching assistant and the module coordinator remained in the Moya group to assist any students. Year of Study Tutors and students were at different levels of study. Tutors were in Honours and students were in their third year. Ability Tutors’ ability to understand and explain the course content was expected to be better as they had completed the course in the previous year. Using MIM also allows students to learn from their peers through collaborative learning (Barhoumi, 2015). Role Continuity Tutors in the first semester continued tutoring in the second semester. Place Using MIMs allows students to access tutoring regardless of their geographical location (Johns & Mills, 2021). Students in metropolitan areas may have access to better network connectivity than those in rural areas (Statistics South Africa, 2020). Time Tutors were allowed to select their consultation, with some consultation during class times and some after hours. This consultation schedule allowed students to access tutoring after hours, especially helpful for students working during the day. Although consultation hours were published for students, tutors indicated that consultation often extended beyond the agreed times. Literature indicates that using MIMs may provide additional responsibilities such as the expectation to interact outside stipulated hours (Poon et al., 2019) and communication overload (Rosenberg & Asterhan, 2018). Tutee Characteristics Tutees were all students in the compulsory third-year Information Systems course: Information Systems Strategy Formulation. Students were diverse, speaking several home languages and residing in various South African provinces. The majority of students were full-time, with a minority part-time. The literature from South Africa indicates that mature and married students found the use of MIMs disruptive to family life (Rambe & Bere, 2013). The finding is supported by literature from India where about 20% of the student sample did not find MIMs convenient because they compromised their private and family time (Gon & Rawekar, 2017). Tutor Characteristics Preference is given to the best-performing students in terms of grades in the Information Systems Strategy Formulation course. Students with tutoring experience were preferred. The literature indicates that tutoring provides an increase in academic achievement for tutors as well (Raja, Low & Lim, 2018). Tutors are given the opportunity to gain work experience; payment can be applied to their student fee account. Objectives The objective of offering online tutoring was to provide students with increased access and improved pass rates. https://doi.org/10.38140/pie.v41i1.6318 212023 41(1): 21-37 https://doi.org/10.38140/pie.v41i1.6318 Petersen Factors affecting students’ use of a data-free instant messenger Using MIM tools allows for spontaneous and student-centred learning instead of instructive teaching in classrooms (So, 2016). The literature indicates that using an MIM such as WhatsApp encourages knowledge sharing, knowledge creation, increased participation and collaboration (Pimmer, Lee & Mwaikambo, 2018; Rambe, Chipunza & Ng’ambi, 2020). For example, WhatsApp has been used to tutor English (Muhammad & Annamalai, 2021). Likewise, 19 tutors effectively used WhatsApp in a nurse tutor programme in Nigeria (Ajuwon et al., 2018). The University of South Africa, a distance education institution, indicates that students show a preference for gaining peer support by using WhatsApp (Mihalyi et al., 2016). In another study by South African researchers, the presence of tutors in educational WhatsApp groups showed a positive impact on first-year computer science students (Nogubha & Mhlana, 2022). However, the challenges of using MIM include the cost of devices such as mobile phones and laptops, device ownership, regular electricity outages and unreliable internet connectivity from mobile operators (Tang & Hew, 2017; Nyasulu & Dominic Chawinga, 2019). Despite the increasing number of people with access to smartphones, in low- and middle-income countries, 1GB of data costs more than 5% of people’s monthly earnings (A4AI, 2018). The inability to afford internet access is therefore a significant barrier to access. Evidence also indicates that only 10.4% of the South African population has internet access at home (Statistics South Africa, 2018). The Western Cape province (25.8%) shows the highest percentage of internet access at home, with the lowest being the Limpopo province (1.7%) (Statistics South Africa, 2018). Additionally, homes in rural areas are less likely to have internet access (1.7%) compared to homes in metropolitan areas (17.3%) (Statistics South Africa, 2018). These figures are representative of the significant inequalities in the South African population that may have a negative impact on the lower socioeconomic student base. To provide more student inclusivity, the use of a South African data-free MIM, Moya, was tested (Petersen, 2020). The Moya application allows students to chat and send voice notes to tutors and peers without using data. Sending attachments incurs data costs, but the amount of data are displayed before downloading (biNu, 2020). The pilot results show that the Moya MIM is easily usable and accessible. Consequently, the use of Moya is expected to provide more inclusive student access to online tutoring. Challenges to using the Moya MIM include reliance on network connectivity and activated Wi-Fi (Petersen, 2020). The paper is organised as follows: the formulation of the problem statement, examination of acceptance and use models and the selection of an appropriate theoretical framework. This is followed by the research design, sampling and the method for collection of qualitative evidence. The findings are then presented in comparison with findings of existing literature. Lastly, the limitations of the study are discussed and recommendations for future work are presented. 2. Problem statement Research on the use of MIM has predominantly been undertaken in small classes of fewer than 50 students (Alenazi, 2017; Lim, Shelley & Heo, 2019). However, there is limited literature regarding the usage of MIMs for online peer tutoring using data-free options in large classes in the light of the South African digital divide, contextual factors and significant inequalities (Petersen, 2020). https://doi.org/10.38140/pie.v41i1.6318 222023 41(1): 22-37 https://doi.org/10.38140/pie.v41i1.6318 Perspectives in Education 2023: 41(1) Therefore, this research offers deeper insight into this context, as the objective of this study is to determine the factors that affect the use of an instant data-free messenger for online peer tutoring in a large undergraduate class. The research targeted a specific student population in South Africa’s Western Cape that is prone to technological exclusion to answer the research question: Which factors affect students’ use of a data-free instant messenger for online peer tutoring? In addition, the research values student recommendations for future implementations by posing the research question: What would improve your use of the data-free instant messenger? 3. Theoretical framework Six prominent acceptance and use models with key constructs are summarised in Figure 1. The models and their application to the acceptance and use of MIMs in education are discussed in turn. Figure 1: Summary of technology acceptance and use models (adapted from Sun et al., 2013) https://doi.org/10.38140/pie.v41i1.6318 232023 41(1): 23-37 https://doi.org/10.38140/pie.v41i1.6318 Petersen Factors affecting students’ use of a data-free instant messenger Fishbein and Ajzen developed the Theory of Reasoned Action (TRA), which contains three constructs that determine behaviour to use a data-free MIM for online tutoring: 1. Attitude refers to students’ positive or negative feelings about using the Moya MIM for online tutoring (Hill, Fishbein & Ajzen, 1977). 2. Subjective norms refer to student perceptions that the people the most important to them, such as peers or parents, think they should use the Moya MIM (Hill et al., 1977). 3. Behavioural intention refers to student intention to use Moya MIM for online tutoring (Hill et al., 1977). A particular TRA study at a public research university in distance learning courses, based in America, sought to determine faculty intentions to use social networking. The findings indicate that subjective norms and attitudes influence faculty members’ intentions and behaviours (Jones, 2019). While the study provides insight into factors affecting the usage of social networking, it was tested within a context in a developed country and the study focused on faculty members’ intentions without examining student intentions. The Theory of Planned Behaviour (TPB) expands TRA by adding perceived behavioural control (PBC) (Ajzen, 1991). PBC, in this research, describes the “perceived ease or difficulty” of using the Moya MIM for online tutoring (Ajzen, 1991:183). TPB was utilised in a Malawian study that examined university students’ use of WhatsApp for learning (Nyasulu & Dominic Chawinga, 2019). The results suggest that students could share information instantaneously, communicate with peers and lecturers, collaborate on academic work and learn outside classroom hours (Nyasulu & Dominic Chawinga, 2019). The findings from another university in a developing country may apply to this research context, except that the cost of data in South Africa is higher than the cost of data in Malawi (A4AI, 2018). The Technology Acceptance Model (TAM) adapts TRA with the inclusion of two key constructs: perceived usefulness (PU) and perceived ease of use (PEOU) (Davis, 1989). According to Davis (1989), PU indicates whether or not students believe that using the Moya MIM would improve their academic performance. PEOU indicates whether or not students believe that using the Moya MIM would be effortless (Davis, 1989). TAM 2 expands TAM with the addition of subjective norm. Therefore, as indicated in Figure 1, TRA is equivalent to TAM 2, based on key constructs. TAM was used as a theoretical framework in a study on undergraduate students’ usage of WhatsApp for collaborative learning at a Nigerian university (Udenze & Oshionebo, 2020). Udenze and Oshionebo’s (2020) findings confirm that PU and PEOU are important factors; however, there was a challenge of irrelevant content posted by students. Additionally, in a study at a Saudi Arabian university, educators found WhatsApp to have a high PEOU (Barhoumi, 2017). PU is positive when students can simplify content and reduce misunderstanding by using MIM for learning (So, 2016). A study on using MIMs for distance education in Cyprus suggests that WhatsApp is user friendly (PU), accessible and cost effective (Nawaila & Bicen, 2018). The use of an MIM for hybrid learning also determined a 77% satisfaction index, with 90% of the sample confirming the importance of WhatsApp to integrate with peers and teachers (Misaghi et al., 2021). WhatsApp was found to improve undergraduate learning in medical education when combined with traditional teaching in Lahore, Pakistan (Dar et al., 2017). https://doi.org/10.38140/pie.v41i1.6318 242023 41(1): 24-37 https://doi.org/10.38140/pie.v41i1.6318 Perspectives in Education 2023: 41(1) A study among a small sample of 25 first-year students at a South African university shows that students from disadvantaged schools prefer using an MIM, such as WhatsApp. The higher PEOU for WhatsApp is due to student struggles to use their institutional electronic learning management system (eLMS), Moodle (Mpungose, 2020). The Unified Theory of Acceptance and Use of Technology (UTAUT) constructs are similar to TPB’s PBC, social norm and behavioural intention. UTAUT extends TAM 2 with the addition of facilitating conditions (FCs), meaning whether or not students believe that organisational and technical infrastructure is available to support the use of the data-free MIM (Venkatesh et al., 2003). UTAUT was applied in a study at a university of technology in South Africa with a sample size of 196 students (Bere, 2014). Bere’s (2014) results indicate that three of the original UTAUT constructs – performance expectancy, effort expectancy and social influence – are positively associated with behavioural intention to use mobile learning. The importance of social influence at university due to peer support is likewise highlighted by Awotunde et al. (2020). However, FC was not considered in this study as organisational technical support is expected to be a prominent factor in this research. The importance of FC is highlighted by Bere (2019), who argues that FC plays a role in contexts with geographical barriers and network connectivity costs (2019). In a study describing the challenges for students to engage in online tutoring in rural South Africa, limited access to devices and network connectivity was again highlighted (Motaung & Dube, 2020). Annese et al. (2022) highlight the importance of FC in understanding the context, technology and learning goals for implementing effective tutoring. Disabling technical FC, such as using small mobile phone screens, can generate eye strain (Gon & Rawekar, 2017). Enabling Wi-Fi on campus can render the use of MIM cost effective (Gon & Rawekar, 2017). Additionally, using applications that are data free will also provide cost-effective MIM access (Petersen, 2020). The Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) expands the UTAUT model by adding the following constructs: • Hedonic motivation (HM) is the “fun or pleasure derived from using a technology” (Venkatesh, Thong & Xu, 2012:161). The literature suggests that WhatsApp can be used for social activities such as relaxing with friends and family and watching videos (Awotunde et al., 2020). HM may pose a challenge when students use the same MIM for pleasurable activities as well as educational purposes. • Price value is “consumers’ cognitive trade-off between the perceived benefits of the applications and cost for using them” (Venkatesh et al., 2012:161). The price value is expected to be a factor, as students will no longer need to pay for data when using the Moya MIM for online peer tutoring. • Habit is “the extent to which people tend to perform behaviours automatically because of learning” (Venkatesh et al., 2012:161). If students frequently use WhatsApp or prefer using another MIM, this may impact the use of the data-free MIM. Based on the summary of acceptance and use models and the discussion above, UTAUT2 was selected as the theoretical lens for this research (refer to Figure 2). https://doi.org/10.38140/pie.v41i1.6318 252023 41(1): 25-37 https://doi.org/10.38140/pie.v41i1.6318 Petersen Factors affecting students’ use of a data-free instant messenger Figure 2: Theoretical model (Source: Venkatesh et al., 2012) The overriding premise is that the factors in this model may provide insight into student acceptance and use of the data-free MIM for online peer tutoring within this context. UTAUT2 was used in a study to predict student intention to use mobile learning systems in India. Results indicate that effort expectancy and performance expectancy are significant factors (Bharati & Srikanth, 2018). Bharati and Srikanth (2018) suggest that when technologies improve student learning experience, the technologies will be used by the students. However, this was not tested within a South African context with the use of a data-free MIM. 4. Research design and methodology This research used a qualitative interpretivist case study as it aimed to analyse the use of an instant data-free messenger for online tutoring. Based on Mouton (1996), interpretivism allowed the researcher to focus on the real world of students and to gain an insider perspective into the challenges and opportunities that affect student use of a particular MIM for online peer tutoring. A case study emphasises the importance of understanding the context to determine factors affecting student use of the data-free MIM in a large class at the University of the Western Cape (UWC), a historically disadvantaged institution (Yin, 2003). A qualitative study to explore a phenomenon in a single case allows a researcher to explore a deeper meaning of experiences with predominantly marginalised students (Creswell & Poth, 2007). As stated in the typology of peer tutoring, the class size was 342 registered third-year Information Systems students. Qualitative data were collected using purposive sampling via an online survey designed using Google forms. Due to the exploratory and interpretivist nature of this research, students were asked three primary open-ended questions to answer the main research question: • Which tool/s did you not use in this course? • Why did you not use it? • What would improve your use of that tool? https://doi.org/10.38140/pie.v41i1.6318 262023 41(1): 26-37 https://doi.org/10.38140/pie.v41i1.6318 Perspectives in Education 2023: 41(1) Interviews were not conducted due to COVID-19 social distancing restrictions during lockdown levels one and two. Due to the high cost of data for video conferencing, tools such as Zoom were also not viable options. Consent was received from 252 students to use their responses for research purposes. The qualitative survey data from Google forms were saved onto a spreadsheet. The spreadsheet was converted into PDF format and imported into Atlas.ti software. The data were analysed via thematic content analysis, using the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model as a theoretical basis. Student responses were coded, using the literature, and grouped according to the constructs in the UTAUT2 model. The groups were analysed to identify the factors that were shared amongst the students (Vaismoradi, Turunen & Bondas, 2013). The research was conducted according to the ethical and professional guidelines as specified by the University of the Western Cape. Consent was sought from the students to allow for the publication of responses. Students reserved the right to refuse their responses to be used for this research. Unique identifiers (such as student numbers) were removed before analysis. The confidentiality of the data supplied by students was respected by storing data in an access-restricted folder. 5. Findings The findings commence with the analysis of students’ demographics and the identification of factors affecting students’ use of a data-free instant messenger use. The section concludes with students’ recommendations for improved usage of Moya MIM for online peer tutoring. According to Figure 3: Student demographics, most students were full-time (91.7%) and male (50.4%). Students were predominantly young: in the 18–24-year age group (81.8%). The majority of students resided in the Western Cape (77.7%) and spoke English (51.8%), Xhosa (14.7%) or Afrikaans (9.2%) as their home language. The remaining students resided in the Eastern Cape (8.8%), Gauteng (5.2%), Limpopo (2.4%), the Free State (1.2%) or Mpumalanga provinces (1.2%). The majority of students used Wi-Fi (50.8%), with 21.9% using prepaid mobile data. https://doi.org/10.38140/pie.v41i1.6318 272023 41(1): 27-37 https://doi.org/10.38140/pie.v41i1.6318 Petersen Factors affecting students’ use of a data-free instant messenger Figure 3: Student demographics 6. Factors affecting student use Findings indicate that most students (85.7%) did not use the data-free Moya instant messenger. The unexpected finding indicates that students prefer WhatsApp, an instant messenger that requires data, over a data-free instant messenger. Table 2 presents the themes in this research, based on the theoretical model. These themes identified by students contribute to the existing literature by identifying the factors responsible for the unexpected low usage of a data-free MIM for online peer tutoring. Table 2: Atlas codes for factors Code Grounded Density Code Groups future use 1 0,4% Behavioural intention connectivity issues 2 0,8% Disabling facilitating conditions incompatible 2 0,8% Disabling facilitating conditions insufficient data 1 0,4% Disabling facilitating conditions no access 1 0,4% Disabling facilitating conditions no phone 2 0,8% Disabling facilitating conditions no Wi-Fi access 1 0,4% Disabling facilitating conditions space 6 2,4% Disabling facilitating conditions connection 1 0,4% Enabling facilitating conditions internet access 3 1,2% Enabling facilitating conditions sufficient data 9 3,5% Enabling facilitating conditions sufficient devices 1 0,4% Enabling facilitating conditions https://doi.org/10.38140/pie.v41i1.6318 282023 41(1): 28-37 https://doi.org/10.38140/pie.v41i1.6318 Perspectives in Education 2023: 41(1) Code Grounded Density Code Groups VPN access 3 1,2% Enabling facilitating conditions Wi-Fi access 8 3,1% Enabling facilitating conditions did not know how to use 5 2,0% Effort expectancy difficult to use 1 0,4% Effort expectancy effort required 4 1,6% Effort expectancy unfamiliar 14 5,5% Effort expectancy MIM preference 75 29,5% Habit not appealing 1 0,4% Hedonic motivation less interactive 1 0,4% Performance expectancy no benefit 1 0,4% Performance expectancy no need 32 12,6% Performance expectancy not useful 3 1,2% Performance expectancy other options 26 10,2% Performance expectancy group preference 6 2,4% Social influence peers not using 4 1,6% Social influence didn’t access 1 0,4% Use LMS preference 9 3,5% Use unaware 26 10,2% Use voluntary 4 1,6% Use 254 100,0% Factors for the low usage included a negative performance expectancy, as students did not see the need for (12.6% of responses) or benefit of using Moya MIM to engage with peers or tutors. Data indicate that having other options (10.2% of quotations), such as WhatsApp and an LMS, negatively impacted the use of Moya, as encapsulated in the following quotation: “I did not need the use of Moya as I already have access to all information on Ikamva [LMS] and WhatsApp”. This finding, however, is contrary to a quantitative study that indicates the influence of performance expectancy on behavioural intention when using another MIM, WhatsApp (Fernández Robin, McCoy & Yáñez, 2017). A low effort expectancy (4% of responses) was evidenced by student beliefs that Moya MIM was difficult to use and that effort was required: “Did not use it, because I did not understand how it works.” Students admitted that they did not know how to use the Moya MIM, despite the similarities in user interface to WhatsApp (Petersen, 2020). In fact, Moya has the same interface design as the preferred WhatsApp, so learning to use the application requires minimal effort, especially from third-year Information Systems students. Based on a Zimbabwean study during the COVID-19 pandemic, effort expectancy encourages the use of WhatsApp (Maphosa, Dube & Jita, 2020). Habit was identified as the most prominent factor among all students (29.5% of responses). Results showed that using WhatsApp was a habit and therefore was the preferred MIM. Several comments supported this finding: “I did not use the Moya because I preferred WhatsApp as a communication tool” and “I stuck to something I was familiar with, WhatsApp Messenger”. https://doi.org/10.38140/pie.v41i1.6318 292023 41(1): 29-37 https://doi.org/10.38140/pie.v41i1.6318 Petersen Factors affecting students’ use of a data-free instant messenger However, the habit of using WhatsApp and constantly checking the MIM is found to affect academic activities negatively (Odili, 2021). Social influence was not determined to be a significant factor (4% of responses). The results indicated that as fellow students and tutors also used WhatsApp, this encouraged the use of this MIM. It was evident that when group members for assignments preferred a certain MIM, then it would be used: “My group members and myself all had access to WhatsApp and decided to make use of WhatsApp for communication in regards to our assignment”. A factor influencing a negative social influence was the lack of use by peers, “more people are on WhatsApp than Moya”. The literature indicates that using WhatsApp as the social media platform for e-tutoring is beneficial, despite tutors using WhatsApp for entertainment purposes as well (Nogubha & Mhlana, 2022). Facilitating conditions were split to identify the factors that would encourage or discourage the use of the data-free Moya instant messenger for online peer tutoring. Enabling facilitating conditions showed that students had data for WhatsApp and devices as evidenced by, “[I] have sufficient devices and connectivity”. As 50.8% of students have access to Wi-Fi, this would facilitate the use of MIM requiring data, such as WhatsApp. A minority of students (2.4% of responses) indicated that students had insufficient space to download the Moya MIM. Disabling facilitating conditions were only indicated by a minority of students (6% of responses). The issue of incompatibility by a small minority of students (0.8%) has been resolved. As stated previously, the Moya MIM now has a version available for Apple users (Moya App Pty Ltd, 2022). However, one student admitted to data insufficiency and yet still did not choose the data-free MIM option. Networking connectivity is indicated as a challenge for e-tutoring (Motaung & Dube, 2020), although this was not highlighted as a significant challenge in this particular student sample. The fun or pleasure in using Moya instant messenger was not evidenced. Hedonic motivation was only mentioned by one student who indicated that “Moya, it is just not appealing to me”. It was anticipated that price value would be a significant factor due to this application not requiring data; however, again, this was not the case. Despite the comparatively high cost of South African mobile data (Healing, 2019), students’ preference for using WhatsApp may be due to the purchase of less expensive dedicated WhatsApp data bundles from three of South Africa’s mobile operators: Vodacom, MTN and Cell C (Staff Writer, 2021). For the 21.8% of students who use prepaid mobile data, WhatsApp social bundles are approximately 33% less expensive. As an example, MTN’s 1GB WhatsApp social bundle costs 30 South African Rand (approximately $2), whereas it costs R99 (approximately $6) for a 1GB monthly mobile data bundle (Staff Writer, 2021). Behavioural intention was demonstrated as a student indicated they would use the Moya MIM in future: “I also didn’t check out the Moya messenger app maybe I missing out on a good opportunity to explore different technologies so I am definitely looking forward to using it currently and in the future”. The low usage level of Moya instant messenger for online peer tutoring can also be attributed to student claims of a lack of awareness of the application (10.2% of responses). There was also a preference for using UWC’s LMS. Students indicated that using Moya instant messenger for online peer tutoring was voluntary, as there was an option to use WhatsApp. The finding is corroborated by the following quotation: “I was never forced to use it”. https://doi.org/10.38140/pie.v41i1.6318 302023 41(1): 30-37 https://doi.org/10.38140/pie.v41i1.6318 Perspectives in Education 2023: 41(1) 7. Recommendations for improved usage Table 3 presents codes and code groups extracted from Atlas.ti software. The information was used to identify the common student recommendations to improve their low usage of the Moya instant messenger for online peer tutoring. These recommendations can be used to improve the use of Moya instant messenger for online tutoring in the future. Table 3: Atlas codes for recommendations Code Grounded Density Code Groups future use 2 1,4% Behavioural intention become more familiar 2 1,4% Effort expectancy better functionality 4 2,8% Effort expectancy easier to use 1 0,7% Effort expectancy get it to work 1 0,7% Effort expectancy guidance 2 1,4% Effort expectancy improved skills 1 0,7% Effort expectancy improved usability 1 0,7% Effort expectancy instructional video 2 1,4% Effort expectancy learning to use it 3 2,1% Effort expectancy more understanding 3 2,1% Effort expectancy need more information 18 12,5% Effort expectancy same functionality 2 1,4% Effort expectancy accessibility 1 0,7% Facilitating conditions better device 2 1,4% Facilitating conditions connectivity issues 1 0,7% Facilitating conditions deleting ads 1 0,7% Facilitating conditions device space 2 1,4% Facilitating conditions have resources 2 1,4% Facilitating conditions have limited internet access 7 4,9% Facilitating conditions interoperability 2 1,4% Facilitating conditions no data 8 5,6% Facilitating conditions load shedding 1 0,7% Facilitating conditions no MIM alternative 21 14,6% Facilitating conditions no VPN 1 0,7% Facilitating conditions Wi-Fi access 1 0,7% Facilitating conditions no interest 3 2,1% Hedonic motivation integration into course 2 1,4% Performance expectancy affordability 2 1,4% Price value academics need to use 2 1,4% Social influence becomes popular 3 2,1% Social influence increased users 11 7,6% Social influence https://doi.org/10.38140/pie.v41i1.6318 312023 41(1): 31-37 https://doi.org/10.38140/pie.v41i1.6318 Petersen Factors affecting students’ use of a data-free instant messenger Code Grounded Density Code Groups lecturer recommendation 1 0,7% Social influence tutors use it 1 0,7% Social influence better marketing 2 1,4% Use choice 1 0,7% Use compulsory usage 1 0,7% Use consistent use 2 1,4% Use increase awareness 4 2,8% Use increased use 1 0,7% Use provided different information 2 1,4% Use training provided 6 4,2% Use unsure 1 0,7% Use voluntary 1 0,7% Use won’t use it 6 4,2% Use 144 100,0% Facilitating conditions were identified as the most prominent theme. A prevalent recommendation was that usage would improve if students did not have another MIM (14.6% of responses), such as WhatsApp, available. This finding is linked to student claims that use would improve if usage was compulsory and they did not have a choice. Evidence indicated, “If I do not have access to Wi-Fi or data then that tool could come in hand[y]”. Usage would also improve if students did not have access to the internet. Students remarked that they would use the Moya instant messenger if they did not have data. A lack of access to the university’s virtual private network (VPN) that allows students to obtain internet access would also encourage usage. “More knowledge on how it works and learning to use it”. Students indicated that effort expectancy would improve if they were provided with more information regarding the data- free MIM. However, information on Moya was provided in the course outline and on the LMS. Training for using the Moya instant messenger, such as an instructional video or step-by- step instructions, was also recommended. The finding is surprising, as third-year Information Systems students are expected to have ample technical skills (Craffert & Visser, 2018), and Moya has the same interface design and functionality as the preferred WhatsApp (biNu, 2020) so learning to use the application should require minimal effort. Furthermore, the issue of a lack of compatibility with Apple devices has been resolved as there is now a version available on the Apple Store (Moya App Pty Ltd, 2022). Students indicated that social influence would improve with an increased number of users, such as peers and tutors (7.6% of responses). However, Moya instant messenger has a rapidly growly user base with more than one million active users (Rajgopaul, 2019). Students suggested that lecturers use and recommend the data-free MIM as well: “If lecturer consultations could happen via Moya Messenger or an alternative instant messaging app, that could be an improvement over email”. The literature supports the recommendation that lecturers use MIMs to bolster meaningful student interaction (Rambe & Bere, 2013; Rosenberg & Asterhan, 2018). https://doi.org/10.38140/pie.v41i1.6318 322023 41(1): 32-37 https://doi.org/10.38140/pie.v41i1.6318 Perspectives in Education 2023: 41(1) “I simply will not use it”. Hedonic motivation indicated that students had no desire to use the Moya MIM and that usage was impacted by students’ refusal to use the data-free MIM for online peer tutoring. This could change if WhatsApp was no longer an option and all the necessary course information was provided exclusively on Moya. The finding is linked to the recommendation to improve performance expectancy by integrating the use of the Moya instant messenger into the course and the tool was consistently used for online peer tutoring. Price value was evident as a student indicated, “I feel that for people who struggle with funds for WhatsApp, this may be a very useful app”. The use of a data-free application was recommended by a student who needed to purchase data when not on campus: “Being off- campus and needing a zero-rated app because I cannot afford to buy data when I am off- campus”. Two students (1.4% of responses) indicated a positive behavioural intention: “Yes, I would consider using Moya Messenger in the future” and “I will try it out in the future”. 8. Conclusion This study aimed to investigate two questions: Which factors affect students’ use of a data- free instant messenger for online peer tutoring? and What would improve students’ use of the data-free instant messenger? Drawing on the literature for the use of another MIM requiring data, WhatsApp, for educational purposes, seven factors from UTAUT2 served as the basis for this investigation. These factors explained how students did not use a data-free MIM and their negative attitudes towards the use of the Moya data-free instant messenger for online peer tutoring. The results indicate that using WhatsApp was habitual and therefore it remained the preferred MIM. While price value was expected to be a significant factor due to this application not requiring data, this was not the case. Despite the comparatively high cost of South African mobile data, student preference for using WhatsApp may be due to the purchase of less expensive dedicated WhatsApp data bundles. WhatsApp bundles allow students to send attachments such as pictures and videos without incurring additional data charges. However, with the Moya MIM, sending attachments requires data. The findings may leave lecturers questioning whether using WhatsApp for online tutoring is the more viable option. Due to the qualitative nature of the study and the investigation of a specific MIM in a specific context, study results may not be generalised to all South African tertiary institutions. The key learnings, however, may provide insights to improve the implementation of data-free MIMs within other contexts. Future work may entail implementing the recommendations to improve the usage of the data-free Moya instant messenger. A study could examine the use of Moya instant messenger exclusively for online peer tutoring while not providing students with the option of an alternative, such as WhatsApp. The separation of using Moya exclusively for online peer tutoring or educational purposes and WhatsApp for social purposes may lead to improved learning outcomes. 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