Typology of peer support behaviours in a MOOC.
This chapter builds upon a body of previous research that has used content analysis to assess the messages exchanged between participants enrolled on a Massive Open Online Course (MOOC). In particular, it focuses on uncovering the nature of the peer support that the participants provide for each other, and the social environment that they establish through their interactions. The findings of this research have led to the construction of a Typology of Peer Support Behaviours which is presented here. It is proposed that this typology can be applied across a range of contexts to assess the nature of peer support behaviours enacted by participants in those MOOCs. It is proposed that the typology could help identify any unique differences in expression of behaviours among groups of students and it could be used to assess if there is a preference towards a particular approach to, or type of, peer support.
- peer support
- teaching presence
- social presence
MOOCs are another incarnation of the online learning paradigm. They differ from the traditional formal online learning approach which is generally closed off and only accessible to a few registered participants, and often requiring some prerequisites to be met prior to participation. Although a small proportion of MOOCs charge an enrolment fee , MOOCs are predominantly open and usually free to participate in; as a result they tend to attract a large number of participants. The MOOC format was conceived in 2008 by George Siemens and Stephen Downes when they developed and deployed their inaugural course Connectivism and Connective Knowledge (CCK08) which attracted over 2000 participants [2, 3]. MOOCs have gained a stronghold and drawn much attention to learning analytics research and the open education resource movement. In their current and popular manifestation, conceived by Stanford professors Sebastian Thrun and Peter Norvig, MOOCs do not deviate far from the traditional online learning model, but through technological innovation have opened up access to educational content with a low barrier of entry [3, 4]. George Siemens categorises MOOCs into three distinct groups based on their approach in facilitating learning for their participants:
Connectivist MOOC (cMOOC): the initial conceptualisation of MOOCs as developed and deployed by George Siemens and Stephen Downes allows participants to network and collaborate among themselves to identify their individual learning needs, then create and follow their own learning path. Learning in this MOOC format is self-directed, the instructor does not define learning paths or outcomes but is available and involved in the process to facilitate the participants’ learning. Using the interaction equivalency theorem, Miyazoe & Anderson benchmark cMOOCs as having low student-teacher interactions, medium student-content interaction but high student–student interactions highlighting the nature of the cMOOC variant as student–student interaction driven .
Instructivist MOOC (xMOOC): these follow the traditional online learning model closely. Learning paths and goals are predefined by the facilitator featuring reading materials and instructional videos often interspersed with quizzes and end-of-module assessment. The course is often scheduled to run for a set duration, usually over the course of three to twelve weeks. Some courses though are self-paced without a hard deadline or end date, allowing participants to follow along on their own schedule. Miyazoe & Anderson benchmark xMOOCs high for student-content interaction, low for student-teacher interaction and low-to-medium for student–student interaction . They highlight that for xMOOCs participants are drawn to the content which is usually video recording of lectures by academics renowned in their fields.
The third MOOC variety, according to Siemens, is open learning resources made openly available such as MIT’s Open Courseware . These are generally dumps of video recorded lectures and assessments in the form of documents that can be downloaded to use. These resources are made freely available to anyone to use. Usually there is not a structured community of participants as found in the other two variations of MOOCs, and assessments are not graded as is found in xMOOCs. They may also not be updated as frequently as xMOOCs will be. Reference to MOOCs from this point onwards (unless otherwise stated) will be in Ref. to xMOOCs only.
MOOCs attract a myriad of participants from various age groups and with varying levels of experience, interests and motivations [6, 7]. Though some prerequisites may be set, they are not used to bar any participant from entry if they are not met. As such it is not surprising that the major issue faced by providers of MOOCs is a high attrition rate, aptly conceptualised as “the funnel of participation”  where a MOOC course attracts several thousands of participants, but only a few follow through to completion, with conservative estimates pegging this figure at about 10%. Time constraints feature as a major driver of attrition especially when participants were faced with other priorities in their daily lives .
2. Interactions in MOOCs
In an online learning environment, participants need an avenue to interact with fellow learners, to share ideas and seek assistance with challenges in the course. Discussion forums have been the dominant platform where these interactions take place . They are usually built into the online learning platform, are usually text-based and asynchronous in nature. This allows participants the flexibility to freely share and attend to each other’s inquiry at a time that is convenient.
Unlike in traditional online learning platforms with comparatively fewer students, the large number of participants taking part in a MOOC can generate voluminous amounts of communication which can lead to data overload for the participants [11, 12]. There has been increasing interest in research focusing on this phenomenon and how it may impact the learning process and learning outcomes of participants in a MOOC.
MOOC students interact with the discussion forum in various degrees and levels. The interaction pattern that occurs in the discussion forums can be used to categorise participants as:
The interactions of the participants are also relevant for their socialisation process, which can facilitate the establishment of a community and thus create a conducive social climate that fosters free and open expression of thoughts and ideas. However studies that examine participant interactions indicate overall participation in forum discussion decreased over time, and noted participants came together and dispersed in a crowd-like pattern rather than as a cohesive community, and that a majority of the discussions were carried out by students who were high-performing . This peer-led discussions in the forum have been observed to promote discussions and engagement as well as active learning .
Only a few of the total registered participants interacted in the discussion forum, leading the researchers to wonder how or why more participants were not drawn to interact in the forum and possible remediation strategies. Some have noted that by virtue of the minimal information participants have about each other, save for what is shared in the forum, “experts” who could be approached to act as mentors to foster deeper learning and collaboration are not identified .
3. The Community of Inquiry framework
In late 1999 Randy Garrison, Terry Anderson and Walter Archer, three researchers focused on distance education, were confronted with a challenging issue: to make sense of interactions in a new online graduate program offered by their faculty. This had the effect of aligning their research to issues around the use of online text-based platforms to facilitate teaching, interaction and learning. Thus came to be the research team whose seminal work was the Community of Inquiry framework . According to Garrison , the framework is predominantly based on the collaborative and constructivist ideas of John Dewey  in that meaning or knowledge is constructed and shared through interactions. The framework has been developed over the years and is much favoured by online learning researchers for its holistic approach to online learning research [22, 25]. It comprises three overlapping components that Garrison et al. postulate as needful in an online learning environment, with the intersection of the components posited as producing a meaningful learning experience. These three components - Teaching presence, Social presence and Cognitive presence - encapsulate the modalities of interactions in an online learning environment.
Social Presence captures the development of social interactions to create a productive social environment. In a mediated environment where participants are unable to infer nonverbal cues of other participants in an interaction, participants convey their sense of self through the thoughts and ideas they share. By projecting their personal identities through their interactions, participants are able to identify with each other and the community thus establishing a trusting environment that allows participants to interact freely. This can allow inter-personal relationships to develop which fosters group cohesion. The development of group cohesion is ideal if participants are to interact productively and meaningfully to facilitate their learning .
Teaching presence captures the facilitation and organisation of the course and actions of the instructor for the advancement of the learning process. Teaching presence serves a mediating role of balancing (and fostering) the social presence of participants (needed for free and open discourse) and guiding their cognitive presence towards achieving their learning goals. Teaching presence is predominantly enacted by the instructor and occurs not only in the online learning environment but offline as well, such as during the instruction design and preparation of the course syllabus and specification of learning outcomes . The teaching presence role however is not limited to the instructor but can be carried out by participants through their interactions hence the reference to this component as “teaching” rather than “teacher” presence [27, 28]. Through their interactions, learners may assist each other to navigate the course content, providing helpful guidance and direction . This may be institutionalised through the appointment of student moderators or teaching assistants from the cohort. This peer support is needful in an online learning environment where instructors may not be able to attend to each student individually and where learners can take the course in their own time. This essentially necessitates an open environment where participants have the freedom to speak freely and express their opinions, to be able to provide assistance to other participants when required.
Cognitive presence captures the meaning-making process which the participants engage in to facilitate their learning. Cognitive presence highlights the development of critical thinking when students are able to engage successfully in inquiry-based learning . Though the three presences all influence one another in various ways and degrees, cognitive presence has been observed to be heavily influenced by social presence and teaching presence.
The Community of Inquiry framework has evolved and has been adapted over the years from its beginnings as a tool to evaluate the effectiveness of online learning environments to a framework shedding light on learning patterns in online learning environments [30, 31] and recommending strategies to enhance the effectiveness of participants engaged in the learning process [32, 33]. The framework is described as a process model because it “embraces a constructivist orientation in which the emphasis is on how we construct knowledge”  and reflects the dynamism of the learning process that is to be encountered in an online learning environment as reflected by the interplay between the three components of the Community of Inquiry framework. A conducive learning environment that fosters free and open communication with other participants is the main function of the social presence element. Discourse is then able to ensue, allowing the participants to express cognitive presence. Via interaction with the course content and communication with fellow participants, teaching presence facilitates the other two elements in the framework to support the learning experience (Figure 1).
4. Findings from previous research
Below we present the findings of a study carried out to gain an insight into interaction behaviours of MOOC participants towards enacting peer support and social presence. With limited course staff consisting of one facilitator and four teaching assistants, all of whom were based in the United States of America, providing adequate support for a large proportion of participants would be a difficult undertaking for the team hence participants relied on other learners in their cohort for support. Interaction logs of discussion forum usage were processed using statistical models to categorise participants interaction pattern. The Community of Inquiry framework was then utilised in a content analysis to assess the messages exchanged by participants in the discussion forum. Themes extracted are from this process are presented below.
4.1 Social presence served as a utility to facilitate learning rather than to foster interpersonal bonds for community development
4.2 Distributed teaching: facilitating learning with clarifications and relevant external resources
The teaching presence was enacted primarily through the facilitation and organisation of the course content and serves to promote knowledge sharing among the participants. Teaching presence is not limited to facilitators alone but “all participants assume teaching and learning roles and responsibilities to varying degrees” . Indeed, with industry experts and some participants taking the course as a refresher, there were opportunities for knowledge sharing in the forum.
4.3 Peer support: openness and willingness to explain and provide examples
The demographic profile of participants in the study were predominantly young and well educated, some to Master’s and PhD level. The presence of these participants, especially those with an economics background, could have been an avenue for support to other participants.
One of the primary limitations of the dataset, and hence this study, was the lack of an identifying link between demographic information and messages in the forum. This could have been used to assess the contributions of participants by their academic level. This can highlight, for example, whether participants with higher degrees (or experience in the area) carry out more peer support. In this study, only a few participants actively contributed in the discussion forum. A majority of participants’ interactions in the forum was focused on searching and reading with very few posting or replying to messages of other participants. With such a large number of participants, it may be that participants are able to find a query to have already been asked and answered hence lowering the need to post a message. This behaviour requires further investigation to assess the correlation (if any) between the number of participants in a course and volume of messages in the forum. This pattern of use may highlight the discussion forum as a utility to obtain support rather than to collaborate for community building.
Some of the participants, with or without intention, demonstrated teaching presence to the notice of other participants. This was captured in the below message of a student requesting assistance from another student via another student’s thread:
Anderson et al., part of the initial collaborators on the Community of Inquiry framework, highlighted this duality of students to act as teachers when developing the framework . However, this dynamic role that a participant may play was not given much focus, granted at the inception of the framework online classes were not as large as MOOCs have become.
The teaching presence category consists of the following elements:
More than 65% of messages coded for teaching presence were in the direct instruction category. This category comprises indicators such as providing valuable analogies, offering useful illustrations, supplying clarifying information and making explicit reference to outside material. These indicators classify messages that are intended to make the course material comprehensible or accessible to other participants. MOOC participants come from diverse backgrounds and experiences. In this study, a number of experienced professionals from various industries were observed to disclose their background and experience in an effort to clarify a point or share an experience in line with the course material; an example extract is produced below. This was in response to another student’s submission to a discussion prompt:
Participants sharing their experiences can help make the course content accessible to other participants by reformulating the course material or by providing relevant and relatable examples from their personal lives and work experience. Participants utilised social elements frequently in their enactment of peer support, highlighting social presence as a core component of teaching presence with a wider overlap in its role in facilitating discourse within the discussion forum .
Another interesting observation was the sharing of external resources mainly in the form of web links to articles, documents and videos which show a willingness of some participants to assist other students in the course with relevant material they had found useful. This was the most frequent activity carried out by participants in their peer-support efforts. Though the facilitator may be expected to provide extra resource materials, this may not satisfy the needs of all participants. Participants may most likely share external resources that may be localised to the specific need of the student requesting assistance. The following two extracts from the forum demonstrate participants sharing helpful resources to other participants:
True. I think we will learn more about this later but here is the Gini coefficient for the US against time [link to an image of a graph]. The Gini coefficient is a measure of inequality. You can see how the U.S. has changed towards more income inequality in the past 40–50 years.! Income Gini Ratio, U.S., Investormill.com: https://investormill.com/data/income-gini-ratio-households-by-race-of-householder/
I did some further online searching and found a good article at http://www.popcouncil.org/uploads/pdfs/frontiers/Capacity Bldg/WTP Manual.pdf on how Willingness to pay is actually collected. It does not deal with the case here of increasing numbers of bananas - but it [does] convince me that the data here is misleadingly displayed and that the Marginal Benefit = Willingness to Pay for additional item is the question that was actually asked and the data that was used to build the misleadingly labelled ‘Willingness to Pay column’. If this is not the case then the argument given here for deriving the Demand curve is simply wrong.
As has been observed so far, participants provided rich comments and responses to their peer’s submissions, some of which can be seen in the use of illustrations and analogies to reformulate and explain concepts to fellow participants. With a large number of participants with varied experiences, there is the likelihood of a participant having the background and experience that can better explain a point, concept or idea from the course material. This characteristic is also manifested through demonstrations by example, the clarification of information, and the use of illustrations and analogies to simplify course material to assist other participants in the course. The dataset that was used in this research did not tag each participant to the messages they shared; this limits the ability of this study to identify and characterise at an individual level participant’s peer-support behaviour however the overall impact can be observed. The following message extract shows a participant stepping in to help another student whose query had received no response for an extended period of time. The responder may have chanced upon the participant’s query while searching for answers to their own query, and it may also be the responder may have sought out forum posts that had received no responses, by using the filter and sort functionality available. Note that the course spanned an eight-week period, hence this intervention may have arrived at the tail end or after the course:
The majority of the teaching presence indicators were enacted in the direct instruction category. We observe that some participants actively reformulated the course content for those who needed assistance and frequently provided additional resources to supplement their feedback. The student’s expectation of the teacher is to provide “content knowledge that is enhanced by the teacher’s personal interest, excitement and in-depth understanding of the content” , qualities that may be exhibited by knowledgeable peers that participate in a MOOC out of interest or as a refresher as discussed in the literature review.
Anderson et al. defined facilitating discourse as the component “that stimulates social process with a direct goal of stimulating individual and group learning” and is a shared activity between teacher and students . This definition aptly describes the overlap of the social presence and the teaching presence, which is described as providing intellectual and scholarly leadership towards the growth of knowledge of the students. The Community of Inquiry framework posits that the teacher ought to be not only a content deliverer but also an active member of the community engaging with the participants by commenting with supportive responses to facilitate their learning, a role that experienced and knowledgeable participants can be encouraged to fulfil.
Of the eight indicators that form the facilitating discourse component, only four were exhibited by the participants in the forum. The absence of these indicators was not surprising. These indicators
The results of the study highlight that very few participants were actively engaged in the discussion forum, a scenario that has been observed in previous studies [15, 16]. However, these few active participants account for only a few of the responses that participants received. The majority of messages and responses are submitted by the larger pool of participants that would have made a submission about once or twice for the duration of the course. Social presence expressed was superficial and primarily served to facilitate interaction and not utilised for community building. Further studies are required to develop a more complete picture of social presence enactment in MOOCs, especially studies that investigate the social presence of active and passive participants separately. Teaching presence also was distributed in that it was expressed by several participants with most participants enacting it once or twice. Though this is beneficial for the facilitators (by reducing load) and for the participants (by benefiting from other experienced participants) further research is required to investigate in more depth how this can be fully actualised and its impact in a MOOC.
5. A typology of peer support behaviours in a MOOC
This section presents a typology that builds upon the findings highlighted earlier. Once developed, the typology then can be reused in other MOOC contexts and settings to assess the enactment and nature of peer support activities. The typology is influenced by the Community of Inquiry framework. Though the Community of Inquiry highlights that participants can carry out teaching presence the Community of Inquiry framework is focused on teaching presence carried out by the teacher or instructor. An opportunity, therefore, exists to address this gap in the framework to provide a means of assessing student–student interactions that are geared towards facilitating the learning of other participants. A typology capturing the behaviours of participants engaged in this type of activity is a step towards addressing this gap.
MOOCs exemplify the reduced capability of teachers and instructors to provide adequate support to learners via direct interaction with each student and the increasing role of learners to support each other through the learning process. This typology aims to focus on the peer support carried out by participants as opposed to the entire learning process which is the focus of the Community of Inquiry framework. The typology hence acts as an add-on or extension to the Community of Inquiry framework to capture peer support interactions. A reusable tool provides consistency in use across different environments and contexts useful for benchmarking and comparisons when utilised across different contexts.
Research into the nature of peer support in MOOCs is ongoing and evolving; as such there are a number of reasons that a typology will be useful for the ongoing research in peer support behaviours that are enacted by MOOC participants. First, a typology provides a simple way to organise and make sense of peer support behaviours to provide a coherent description of the behaviours enacted by participants. A typology can also facilitate communication between both researchers and practitioners who are exploring pedagogical strategies. A typology can also help identify interplays between the observed behaviours and by extension predict possible behaviours that could occur. The typology provides a framework for accessing peer support behaviours carried out by participants in a MOOC discussion forum. The typology has applications for future researchers in building upon the body of knowledge of participants interaction behaviours in a MOOC context. The typology is presented as a descriptive framework with no stipulated hierarchy nor does inclusion of a characteristic suggests importance. The typology is envisioned as a tool to compare peer support behaviours carried out by participants in different MOOC contexts that can inform pedagogical strategies employed to facilitate achieving learning outcomes and objectives especially from the participants perspective.
5.1 Extracting peer support behaviours
The constituents of the typology are derived from the coding of discussion forum interactions carried out by participants in the MOOC used in the study. This coding was carried out using the Community of Inquiry framework. To extract the typology the indicators are further summarised and organised into behaviours with respect to the learner providing peer support. These are behaviours exhibited by the participant while carrying out the task of facilitating the learning process for another learner. With a sample size of one MOOC (of one variety) this typology may not be exhaustive and will require review and refinement in future studies. The typology comprises three elements that interact with each other
Teaching presence is not enacted in isolation, but in concert with social presence hence social discourse forms an integral component in the enactment of teaching presence . Participants utilised a range of social presence indicators to convey their thoughts and ideas. For example, when providing assistance participants sometimes drew from their personal experience of their work in industry or personal knowledge to provide the help required (self-disclosure, personal advice). The diversity of participants enriches the learning process for those requiring support as the responses can be localised to the asker with information that meets or suits their needs. The willingness of responders to share from their personal experience and knowledge demonstrates that participants felt comfortable sharing in the discussion forum. This behaviour, the co-occurrence of social presence with teaching presence, is collectively referred to as
Responders also frequently shared materials and links to external resources they found useful and relevant to address the query they were responding to. In carrying out these teaching presence indicators, participants were using the tools at their disposal (personal knowledge, industry experience, external content they had found useful) to address a message posted (such as a question or response to discussion prompt) in a form that makes the course content accessible to their fellow learners. The indicators under direct instruction are collectively referred to as
Messages exchanged on the discussion forum appear to be of a transactional nature. The majority of participants provided responses only once or twice, with very few participants posting frequently (more than twice) indicating that participants were not engaged in back-and-forth discussions. They reply one time, or a second time, and may not reply again. The asynchronous nature of interactions on the forum means queries can be addressed at any time by anyone who is available and/or has the expertise to address the query. It may be that when a query receives a response there is little motivation to add on, that a discussion does not ensue, hence discussion threads consist primarily of queries and answers.
The frequent use of vocatives and expressions of appreciation could also indicate the orientation of interactions towards query and response. With the majority of participants submitting just about one query each, submission is thus being received from “new” participants each time. Though responses tend to be short, long-form exploratory answers were observed as well. Participants were not habitual posters on the discussion forum but only stepped in to provide support when seeking answers to their own questions through searching the discussion forum. Thus, this interaction behaviour of participants appears to be transactional in nature: providing support to others while seeking out answers to their own queries. From this the
5.2 Typology of peer support behaviours
Table 1 below summarises the extracted behaviours earlier discussed. As an add-on to the Community of Inquiry framework, this table serves to guide researchers on how to map their coding carried out using the Community of Inquiry framework into the peer support behaviours for this typology. In Table 1 below each
|Behaviour||Example of Enactment||Coding Categorisation|
|Openness||Overlap of teaching presence and social presence categories enacted by participants|
|Any of indicators within direct instruction category of teaching presence|
|Through assessment of messages per participant and average length of thread|
In the provision of peer support, each of the behaviours occurs at different levels, for example, where transactional exchange is high,
Participants engaged in the discussion forum primarily respond to discussion prompts, and raise questions about challenges they encountered. In their provision of assistance, respondents utilised details from their personal life and experience. These respondents would most likely be professionals taking the course out of interest. The platform provided a comfortable environment to share their personal experiences.
Though participants were open in their interactions, not all types of messages were shared. The primary focus of the exchanges was on the course. Personal details and experiences shared to explain or make the course content accessible were limited to the context of the course. Messages about personal events, such as holiday trips or birthday announcements, were absent. Very few participants were frequent posters with the majority of participants sharing on average only once if at all hence interpersonal bonds that may develop are weak. This highlights the interplay between
5.2.2 Re-contextualisation of course content
Participants showed a capacity to explain course materials to fellow learners sometimes utilising information from their personal life and informal social language to reformulate the course content in their responses. On limited occasions, participants provided detailed explanations consisting of several paragraphs drawing on examples from their life or experience in an effort to make a concept accessible to the question-asker reflecting the openness by responders captured by the interaction between
The diversity of backgrounds and experiences of participants makes available a pool of knowledge to address a variety of needs that may arise in the discussion forum, they can bring the course to life with their industry experience. Participants voluntarily helping each other can alleviate the load on the course facilitators in providing assistance. Respondents providing assistance also made reference to materials (for example, books) and shared web links to external resources (such as web articles and videos) in their responses. These resources are specific to the query being addressed by providing extra content that precisely addresses the needs of the requester. The respondent may have personally utilised these resources or has assessed them to be relevant to the query.
External resources provided are hence specific and relevant to the needs of the requester. The interplay between
5.2.3 Transactional exchanges
Exchanges in the discussion forum were not directed towards community building. An exchange was usually initiated by a submission for a discussion prompt or query then immediately concluded in the immediate reply when an answer to the query was provided. Messages in response to discussion prompts were usually followed by expressions of agreement that did not build on the initial post. Hence discussion threads were usually short comprising usually of a question and an answer or a comment. With participants progressing through the course at different rates, follow-ups if at all desired may be a challenge as new questions come through from the large number of participants. It may be that peer support happens sporadically while participants browse through the forum searching for answers to their own challenges.
The high attrition in MOOCs may not couple well with asynchronous messaging as participants drop out over time resulting in one or both participants involved in a discussion not being available to follow up. As discussed under
5.3 Utilising the typology
The following procedure is recommended for the application of the typology in future studies. The typology is derived from the Community of Inquiry framework hence utilises the Community of Inquiry coding scheme. Users are encouraged to utilise a whole message of a post for a more robust and consistent coding process. Multiple coding of the same message with different indicators is also encouraged given the expected overlap between social and teaching presences. The typology can be used to compare peer support behaviour across multiple MOOCs. An example of the outcome from the application of the typology is discussed at the end of this section.
To utilise the typology in a research study:
Obtain the messages exchanged by participants within the MOOC discussion forum for the period of interest.
Messages should be grouped into threads comprising of the head (the initial post being a submission or a question) and ensuing responses to maintain context of messages exchanged.
Utilise the social and teaching presences of the Community of Inquiry framework to code each message.
Using Table 1 map the coding from Step 3 to the behaviours in the typology.
Tabulate results and summarise the behaviours of the typology as:E1
Item 5 above will yield percentage scores. These can be mapped to behaviour levels using the following bands. The score ranges are indicative only, researchers can adapt as required to suit their context (Table 2).
Repeat for each course under investigation then compare output of summary of codes across the courses.
|Score range (%)||Behaviour level|
5.4 A typology use example
An example use of the typology is applied to the theoretical interactions of students (and hence peer support) that may be carried by participants in a cMOOC and xMOOC. Referencing Miyazoe & Anderson’s Interaction Equivalency  as a benchmarking guide for student–student interaction this example compares the enactment of each behaviour for peer support. Miyazoe & Anderson indicate cMOOCs experience high student–student interaction as learners connect with each other.
Students in cMOOCs are encouraged to contribute resources that are added to the collection shared with other learners. A cMOOC usually has medium student-content interactions because learning is focused on interaction with other students in the network. In the context of the peer support typology, this can be translated as high
In contrast, xMOOCs have low-to-medium student–student interaction, as effective tools to support the large number of participants remains a challenge. Student-content interaction is high usually driven by the prestige and experience of the instructor whose lessons have been pre-recorded. From this we can expect that