1,297
Views
0
CrossRef citations to date
0
Altmetric
Review Article

Facilitators and barriers to online group work in higher education within health sciences – a scoping review

ORCID Icon, ORCID Icon, , ORCID Icon &
Article: 2341508 | Received 20 Oct 2023, Accepted 06 Apr 2024, Published online: 12 Apr 2024

ABSTRACT

Introduction

In health education, group work is essential to prepare students for working in health care and medical teams. Following the widespread adoption of online teaching, group work increasingly takes place in online environments. Although successful group work can provide good learning outcomes, it is unclear what facilitates or hinders online group work in health science education, and to what extent this topic has been addressed. Thus, this scoping review aimed to identify the facilitators and barriers to online group work in higher health education, provide an overview of the scientific literature related to the topic, and identify knowledge gaps in the research.

Methods

This scoping review was guided by the methodological framework described by Arksey and O’Malley, and reporting is in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analysis Extension for Scoping Review (PRISMA-ScR). Eight online databases were searched for scientific articles published between 2012 and 2022. At least two researchers independently screened records and full-text articles and charted data including article characteristics and key information related to the research question. Findings were categorized and summarized based on the Community of Inquiry Framework.

Results

After screening 3671 records and 466 full-text articles, 39 articles met the inclusion criteria. The review revealed smaller group size, consistency in group composition and joint responsibility to be facilitators. Challenges with group communication, scheduling synchronous meetings and technical issues were identified as barriers. Our findings supported the importance of all three elements of the Community of Inquiry Framework: social, cognitive, and teaching presence.

Conclusion

This review provides an overview of facilitators and barriers to online group work in health science education. However, there is a need for further investigation of these factors and studies addressing this topic from the teachers’ perspective.

Introduction

Group work is a common teaching strategy in health education [Citation1] and fundamental in several learning models frequently used. Working in groups may help students acquire team-building and collaboration skills that are essential when working in healthcare settings [Citation1]. There is strong scientific support for the benefits of learning in groups [Citation2–7]. However, group work is not always successful, and challenges can affect both learning outcomes and student satisfaction [Citation2,Citation6,Citation8–11].

Following the wide adoption of online teaching, group work is increasingly taking place in online environments [Citation12], and challenges in online group work in higher education, in general, have been thoroughly addressed in previous research [Citation13]. Also, within health science education specifically, several studies have investigated different aspects related to online group work (e.g., communication [Citation14], participation and distribution of workload [Citation14,Citation15], technical challenges [Citation14], the teacher’s role [Citation15–17] and how groups are created [Citation15]). However, there is to our knowledge no available overview of the literature on online group work in health science education.

Online group work may cover various forms of group work and online environments. For this scoping review, we chose to define online group work as ‘not in-person’, meaning group taking place solely online. Furthermore, we defined group work as independent student work without a monitor or teacher present.

The community of inquiry framework

Originally developed focusing on asynchronous online learning [Citation18], the Community of Inquiry (CoI) framework has since been applied to various online learning modes, including synchronous and blended [Citation19]. It has been widely used to describe, implement and evaluate collaborative online learning [Citation18–22] in research covering students’ learning experiences [Citation22], attitudes [Citation23] and perceived and actual learning [Citation24]. Founded on Dewey’s educational philosophy and social constructivism, the framework is described as a collaborative constructivist model of learning and education (20, chpt. 2).

The core premise of CoI is that learning is best promoted in a community of learners that engage in critical discourse, a ‘community of inquiry’, which is reinforced by three interacting elements: Social presence, cognitive presence, and teaching presence (). These three elements are further described and operationalized through the categories used in the Community of Inquiry Survey (CoI Survey) [Citation25], which has been validated through multiple studies in different contexts [Citation19]. Social presence, engagement with participants, exists in a trusting environment that encourages critical discussion and may be identified in forms of the categories affective communication (the social emotional environment), open communication (in a climate of trust), or cohesive communication (group cohesion and sense of belonging), all described in the CoI Survey (20, chpt. 4, 25). Cognitive presence, engagement with content, is operationalized through the model of practical inquiry. The practical inquiry model describes the process of constructing meaning through reflection and discourse in four phases used as categories in the CoI Survey: triggering event (initiation and presenting the problem), exploration (searching for information and understanding the problem), integration (gaining insight and constructing meaning), and resolution (reducing the complexity or reaching a solution of the problem) (18, 20, chpt. 5). Teaching presence, engagement regarding goals and direction, is divided into three categories and in the CoI Survey: design and organization, facilitating discourse, and direct instructions (20, chpt. 3, 25). Teaching presence can be described as the educator’s role of planning and delivering education but may also be found in what learners do to create an environment of social and cognitive presence (20, chpt. 6).

Figure 1. The community of inquiry framework. Image used with permission from the community of inquiry website and licensed under the CC-BY-SA International 4.0 license (https://creativecommons.Org/licenses/by-sa/4.0/). The original image is located at https://www.thecommunityofinquiry.org/framework.

Figure 1. The community of inquiry framework. Image used with permission from the community of inquiry website and licensed under the CC-BY-SA International 4.0 license (https://creativecommons.Org/licenses/by-sa/4.0/). The original image is located at https://www.thecommunityofinquiry.org/framework.

Study objectives

Understanding what facilitates or hinders online group work is key to creating well-functioning groups and group assignments as well as efficient methods for monitoring and facilitating. All of which may contribute to successful group work, leading to good learning outcomes and student satisfaction. To our knowledge, no literature has comprehensively explored the potential facilitators and barriers to online group work in health science education. This scoping review aims to address this gap and identify potential facilitators and barriers to online group work in higher education within health sciences. Our findings will be presented and discussed in the light of the CoI framework. Due to the broad nature of the aim, we considered the scoping review the best-suited approach.

To guide the scoping review, we developed the following research questions:

  1. What are the facilitators and barriers to online group work in higher education within health sciences?

  2. What kind of scientific publications related to facilitators and barriers to online group work in higher education within health sciences are available, and what are the knowledge gaps in the scientific publications related to facilitators and barriers to online group work in higher education within health sciences?

Methods

We conducted this scoping review following the steps proposed by Arksey and O’Malley [Citation26] and Levac et al. [Citation27] and used The Preferred Reporting Items for Systematic Reviews and Meta-Analysis Extension for Scoping Review (PRISMA-ScR) for reporting [Citation28]. The protocol is available from the Open Science Framework https://osf.io/da57b/

Information sources and search

The search strategy was developed in collaboration with the experienced health science librarian on the research team and adapted across each of the eight included databases (MEDLINE via Ovid, EMBASE via Ovid, PsycINFO via Ovid, ERIC via EBSCOHost, Education source via EBSCOHost, CINAHL via EBSCOHost, Scopus and Epistemonikos).

Search strings covering four dimensions (online learning environment, group work, higher education and health sciences) were combined using Boolean operators. The search was limited to articles written in languages all members of the research team could read (Danish, English, Norwegian, and Swedish), and to studies published in the last 10 years, due to the rapid technological developments. The full search strategy for the search is in Appendix 1. The search was performed on 2 September 2022 in all eight databases. The reference lists of the included articles were screened for additional studies, and two selected journals (Nurse Education Today and BMC Medical Education) were hand-searched.

Selection of studies

After duplicates were removed, the search results were uploaded to Rayyan [Citation29]. To increase consistency among reviewers, at least three members of the research team screened the same 50 titles and abstracts individually before discussing uncertainties surrounding inclusion and exclusion criteria. The remaining titles and abstracts were screened individually by two researchers, with one researcher screening all titles and abstracts. Any disagreements were resolved by a third researcher. All researchers met regularly throughout the screening process to discuss and refine any unclear criteria. The same approach was applied in screening of included full-text versions of the articles.

Eligibility criteria

The eligibility criteria were based on the research questions and insights from preliminary searches (January 2022 and April 2022). Following the recommendations of Levac et al. [Citation27], the criteria were developed through an iterative process with repeated discussions throughout the screening process, and aimed to locate scientific articles that addressed the population, concept, and context as outlined in . The concept of group work was defined as independent student group work without monitor or teacher present, and the context was defined as solely online, meaning ‘not in-person’ group work. All types of study designs were considered.

Table 1. Eligibility criteria based on population, concept, context, and main aim.

Data charting process and data items

We developed a data charting form including article characteristics (e.g. first author, year of publication, country, study aim, design, methodology, participants, and main study outcomes) and key information related to our research questions (e.g. online mode, group characteristics, type of group work, and findings related to facilitators and barriers in online group work) (Appendix 2). Data specifically relevant to the main aim was charted based on the CoI Framework. Two reviewers independently charted the data. After charting data from 5 articles, the two reviewers discussed and resolved any unclarities regarding the criteria to enhance consistency. Any disagreements were solved by a third reviewer. Charting the data was treated as an iterative process, allowing the data charting form to be updated if it became apparent that additional data could be usefully charted.

Synthesis of results

Data were categorized and synthesised descriptively using the CoI Framework and Survey as a guideline for the categories [Citation20,Citation25]. To include data that did not fit within the three elements (presences) a category ‘Facilitators and barriers outside CoI’, referring to the contextual factors surrounding the inner circles of the framework () was added. We chose the CoI Framework, in consultation with stakeholders, because it captures a wide range of aspects relevant to the online learning context and to group work [Citation19,Citation24]. As the framework encompasses overarching elements and more detailed categories, it was considered well suited to provide structure to the data we anticipated to be potentially widespread due to the broad scoping review method. Also, we considered the distinct and yet interrelated presences would give us a perspective from which to look for connections and commonalities. Moreover, as we wanted to include all study designs and methods, we considered it an advantage that the framework has been used in education research using different methodologies within qualitative [Citation22], quantitative [Citation19,Citation24,Citation30] and mixed methods [Citation22] research.

Following recommendations by Colquhoun et al. [Citation31], we consulted stakeholders to gain a broader understanding of our findings and enhance the study’s validity.

Results

Sources of evidence

Following database searching, screening, and data charting, a total of 39 articles met the inclusion criteria (). The study characteristics for all included studies are presented in . The articles were published from 2012 to 2022. By country, the highest represented was the United States (n = 15), followed by Australia (n = 4), Spain (n = 3), and collaborative studies between the UK and Somaliland (n = 3). Most studies used both quantitative and qualitative methods (n = 24), and articles using qualitative methods exclusively (n = 10) were twice those using quantitative methods only (n = 5). Quantitative data were mostly collected through questionnaires (n = 23), or recorded grades or scores on tests or assignments (n = 5), and qualitative data were collected through open-ended questionnaire items (n = 15), focus group interviews (n = 9), student-written documents or messages (n = 6) or individual interviews (n = 3). Other types of data included grades or test scores (n = 5). The varying modes of online group work assessed included asynchronous (n = 6), synchronous (n = 13), asynchronous and synchronous combined (n = 11), and different forms of blended or hybrid solutions (n = 4). The duration of the online group work spanned one session to one semester, and potential facilitators and barriers to online group work were addressed as a main aim in six articles. Most articles concerned nursing students (n = 18), medical students (n = 14), or pharmacy students (n = 7). Several articles reported to include students from more than one health program (n = 7).

Figure 2. PRISMA flow chart of the study selection.

Figure 2. PRISMA flow chart of the study selection.

Table 2. Study characteristics of 39 included articles.

Synthesis of results

We categorized and summarized our data based on the three presences and their categories according to the template in the CoI Framework (20, chpt 3) based on the CoI Survey [Citation25]: Social presence, cognitive presence, and Teaching presence adding a category for the facilitators and barriers outside the framework ().

Table 3. Facilitators and barriers to online group work in health science education categorized according to the community of inquiry framework.

Social presence

Social presence is described through identification of different types of communication. Our findings suggest that lack of communication in general [Citation34,Citation46,Citation64] and challenges adapting to online communication [Citation65,Citation66] may be barriers to online group work. In the study by Ambrose et al. [Citation34], qualitative findings revealed students’ frustration about establishing communication. Language was mentioned as a potential barrier in two studies, where some group members had to speak a second language [Citation46,Citation49].

Affective expression

Getting to know the other group members [Citation66], establishing and improving interpersonal relationships [Citation43,Citation67], and working in the same group over time [Citation47,Citation48,Citation63] were identified as potential facilitators for online group work influencing the learning outcomes [Citation67] and academic performance [Citation63]. Students expressed that being in the same group was important to make the working process more predictable [Citation47] and create stability making it easier getting to know the others, which promoted the learning capacity [Citation48]. Using a quantitative cluster analysis, Kwon et al. [Citation52] found continuous interaction of encouragement between group members to be beneficial. On the opposite, results from a mixed methods study suggest that a lack of personal interaction in group work is a potential barrier [Citation64]. Also, the quality of social interaction positively influences perceived learning [Citation53].

Open communication

Students expressed that feeling included and safe in the group [Citation48] was important to participate. Also, trusting the others in the group [Citation48] and reciprocity [Citation54] were important to foster communication, and establishing quality communication early in the group process [Citation52,Citation53] was found to facilitate group work. One of the barriers mentioned by students in several studies was the lack of non-verbal communication [Citation48,Citation65,Citation67]. Closely related was not turning on the cameras [Citation65], which further impaired non-verbal communication. Poor communication as well as completing tasks at the last minute could lead to broken trust [Citation52].

Group cohesion

Joint accountability, responsibility, and shared commitment among the group members were identified as potential facilitators related to the sense of cohesiveness and belonging to a community [Citation45,Citation47,Citation48,Citation52,Citation54,Citation63]. Likewise, working on a common project [Citation44] and equal distribution of workload [Citation37,Citation62] was reported as beneficial. Findings from a quantitative study suggested that establishing group norms [Citation53] and having intensive interactions early in the collaboration [Citation52] could facilitate the group process. Encouraging interaction and inclusion of all members of the group [Citation67] and continuous socio-emotional interaction [Citation48,Citation52] were seen as important for successful group work. Also, endorsing, and valuing teamwork was linked to high performance in teams [Citation41]. However, lack of shared commitment [Citation54] in working on tasks regardless of other group members [Citation47], as well as unequal distribution of workload [Citation42,Citation44,Citation48,Citation62,Citation64,Citation68] and responsibility [Citation62] could be potential barriers. Limited interaction with the other group members in general and socio-emotional interaction were linked to ill-advised collaboration patterns [Citation52].

Cognitive presence

Triggering events

Guidance prompts or questions related to the assignment topic [Citation40,Citation59] were found to be potential facilitators acting as triggering events. Likewise, micro movies were appreciated [Citation51] and videos were wanted to raise interest [Citation69].

Exploration and integration

In two qualitative studies, organization of group work processes were reported to influence group discussions and collaborative learning processes. While ways of organization that required joint responsibility, joint discussion and mutual revision were seen as potential facilitators of exploration and integration processes in the groups [Citation47,Citation54], dividing tasks between group members working individually did not promote these processes [Citation47,Citation54]. Furthermore, assignments that promote sharing experiences and exploring one’s own and others’ opinions or perspectives could be seen as potential facilitators of exploration [Citation68].

Teaching presence

Design and organization

Related to assigning groups, students preferred smaller groups [Citation36,Citation62,Citation64] of 3–4 students per group [Citation38,Citation47,Citation59], choosing their team [Citation63] and being in the same group over time [Citation47,Citation48]. Also, findings suggest that composing groups with diversity in health professional fields [Citation46,Citation70] may be a facilitator.

Problem-, or case-based assignments [Citation47,Citation48], and having access to relevant learning resources before and throughout group work were found to be beneficial [Citation32,Citation51]. Including activities or requirements that supported group organization and regulation [Citation56,Citation58] seemed to enhance achievement. However, lack of time management for groups could be a potential barrier [Citation45]. Peer-to-peer feedback [Citation33] or expectations of peer assessment [Citation37], as well as making rubrics for group assignments was found to facilitate the group work. However, studies also reported inconclusive results related to whether peer evaluation could be a potential facilitator or barrier [Citation33,Citation45].

Facilitating discourse

Providing discussion prompts seemed to enhance achievement [Citation40,Citation59]. Unclear instructions and explanations were suggested as a potential barrier in several studies [Citation32,Citation44,Citation46]

Facilitators and barriers outside CoI

Technical challenges [Citation50,Citation57,Citation60] including internet connection [Citation34,Citation49,Citation59,Citation63] and lag time [Citation55] were frequently mentioned by students as potential barriers to online group work. Students also reported insufficient instructions or competence in using technology as potential barriers [Citation60,Citation65,Citation68]. In several studies, students experienced scheduling group meetings as a barrier [Citation34,Citation43,Citation44,Citation50,Citation61,Citation62,Citation64,Citation68], and even to find time to work individually on group assignments [Citation35]. Using well-known digital tools or social media to communicate and collaborate [Citation39,Citation49,Citation50,Citation60,Citation61] were potential facilitators while failing to agree on means of communication was a potential barrier.

Discussion

Main findings

This scoping review identified facilitators and barriers to online group work in health education. Our analysis revealed smaller group size, consistency in group composition and joint responsibility as important facilitators for online group work in higher education within health sciences. Challenges with group communication, scheduling synchronous meetings and technical issues were identified as barriers. In the following, we discuss the most prominent facilitators and barriers from our analysis and previous research.

Through the lens of the CoI framework

As described in the introduction, the three presences in the CoI framework (social, cognitive, and teaching presence) are interdependent (20, chpt. 4). Due to this close relationship between the presences, we found some facilitators and barriers difficult to place within a single presence. Factors that potentially could impact or express more than one presence were therefore reported in all relevant presences. Although technical challenges and the use of social media or digital tools may influence all three presences, we interpreted these factors to be part of the educational context and communication media as outlined in .

Our scoping review revealed facilitators and barriers that supported the importance of all three presences in the CoI Framework. However, most factors indicated social presence as described by Garrison as ‘… the ability of participants to identify with a group, communicate openly in a trusting environment, and develop personal and affective relationships progressively by way of projecting their individual personalities’ [Citation71]. Exemplifying how social presence promotes cognitive presence (20, chpt. 4), we found that students needed to know each other, establish personal relationships, and feel safe before participating in group work [Citation47,Citation48,Citation63,Citation67]. Further, we found establishing relationships and communication to be particularly important in the early stages of group work. This is in line with research that shows social presence to be most prominent at the beginning while the balance shifts towards more cognitive presence as the group work progresses [Citation72]. It also supports the importance of consistency in group composition, as this will allow social presence to be established in the group.

Most of our findings within teaching presence fell into the category ‘Design and organization’. This may be because we chose to define group work as students working independently in the group without a tutor or teacher always present. Thus, we may have excluded studies more likely to have investigated aspects of facilitating and directing the group work. Our findings related to cognitive presence were mostly concerned with organization, either regulated by the group alone or through an assignment, and learning activities that functioned as triggering events or facilitated exploration (early phases of practical inquiry). This corresponds to previously revealed challenges with reaching the more advanced phases of practical inquiry (integration and reconciliation) (20, chpt. 5). Also underlining the presences' interdependence, joint responsibility was found to facilitate both exploration in cognitive presence [Citation47,Citation54] and group cohesion in social presence [Citation45,Citation47,Citation48,Citation52,Citation54,Citation63].

Size and consistency of group composition

Knowing fellow group members was associated with trust and a feeling of safety which was described by students as crucial for participation in discussions and learning activities [Citation48]. It is well known that trusting and safe environments promote student participation and engagement [Citation47,Citation48,Citation63,Citation67], but some have questioned whether it takes more time to develop trust in online groups compared with face-to-face groups [Citation48]. This could be a partial explanation for our results showing that students prefer working in the same group over time. Other potential explanations offered in studies included in this review, were that working in the same group made the work process more predictable [Citation47] and effective as the group got to know each other’s strengths and weaknesses [Citation63]. The value of consistent groups is also apparent in the guidelines for Team-based learning, which recommends that students stay in the same group for as long as possible [Citation73].

Further, our findings indicate that students prefer groups of 3–4 students. Supporting our results, a recent review on challenges and strategies for online group projects recommends an online group size of fewer than five students [Citation13].

Organization

The findings in our scoping review suggest that organization of group work characterized by joint efforts, accountability, and responsibility among all group members, seems to foster a sense of belonging in the group as well as collaborative learning processes [Citation45,Citation47,Citation52]. A strategy of working out solutions in the group, discussing each part, and taking responsibility for fellow students’ learning was found to promote understanding [Citation47] and commitment to the group [Citation52]. Another observed strategy of merely dividing tasks between group members was associated with lower performance [Citation54]. These two strategies of group work have previously been discussed by Hammar Chiriac [Citation8] as working as a group (collaborative) or in a group (cooperative). While collaborative learning is often referred to as ‘real group work’ as it involves reaching solutions through joint discussion and reflection [Citation8], Donelan and Kear [Citation13] advocate balancing cooperative and collaborative elements when creating assignments for online group work. They argue that cooperative learning may help alleviate unequal distribution of workload in online group work [Citation13]. Unequal distribution of workload is a recurring challenge in group work [Citation74], and it was also identified as a barrier in our scoping review. Using teaching methods that require students to be accountable for their contribution may be one way to mitigate this challenge. In health science education such teaching methods (e.g. Team-based learning [Citation1,Citation73], Case-based learning [Citation75] and Problem-based learning [Citation76]) are common because they use real case scenarios to prepare students for clinical work in healthcare teams. However, although many studies in our scoping review described using cases for discussions or assignments, only a few studies had used Team-based learning [Citation45], Case-based learning [Citation55], or other specific learning methods [Citation45].

Challenges with scheduling group meetings

One of the most important barriers was challenges in scheduling group meetings [Citation34,Citation43,Citation44,Citation50,Citation61,Citation62,Citation64,Citation68]. Students from different countries, including the US, Canada, Australia and Indonesia, the UK and Somaliland, and Spain described that it was hard to find times to meet online due to everyone’s busy or different schedules as well as work obligations and personal responsibilities. Based on previous research, these are also common challenges in online group work in general [Citation13]. However, the irregularity of shift work in the health sector may likely add to the challenge. Nevertheless, these findings indicate a need for further research into the cause and solutions for scheduling challenges.

Communication

Establishing and maintaining communication among students throughout online group work was essential in getting to know fellow group members, forming interpersonal relationships, and organising work processes. However, the students described establishing communication in online groups as challenging [Citation34,Citation46,Citation64]. Lack of communication hindered the completion of the task and building learning relationships [Citation34], and some had difficulties with contacting group members who did not participate actively [Citation46]. While communication challenges can occur in all group work, not meeting in person may make it easier to delay or simply avoid answering, which could be described as ‘ghosting’ the group. Our findings revealed that social media and digital tools may facilitate communication [Citation49,Citation60,Citation61]. Similarly, Donelan and Kear [Citation13] point to the importance of selecting digital tools and means of synchronous communication. Despite its potential benefits to communication, the technical element is a common challenge in online group work [Citation13] and was often reported as a barrier to communication and collaboration in our included studies. Students were frustrated with bad internet connection [Citation34,Citation49,Citation59,Citation63] which in addition to lag time [Citation55] inhibited the flow of communication. Technical issues are recognized challenges in online group work and were also repeatedly reported in the studies included in Donelan and Kear’s review [Citation13].

Stakeholder consultation

Two stakeholders read the results to increase the study validity and broaden our understanding of our findings (presentation of stakeholders’ background is found in Appendix 3). Both stakeholders found the results relevant. One stakeholder confirmed that unequal distribution of workload and dealing with ‘free-riders’ are challenging in online group work and that clear instructions and structure may facilitate the work process. It was also emphasized that including group members who keep their cameras off in online group work can be difficult. Our results were assessed as relatable and relevant in terms of implications for practitioners and future research.

Knowledge gaps and future research

Few of the included studies aimed to assess facilitators and barriers to online group work specifically [Citation33,Citation41,Citation47,Citation53,Citation54,Citation60]. Group work was mostly embedded in a pedagogical design or an integral part of a course and thus not addressed exclusively. This may be because it was not relevant to evaluate group work separately or because group work was considered too integrated in the total design to be separated. However, it may also suggest a knowledge gap in the literature, and a need for further research into online group work as a sole concept. Moreover, as this scoping review did not discriminate between different modes of online group work (e.g. synchronous, asynchronous, blended), additional investigation of facilitators and barriers specific to each mode of delivery could reveal important distinctions not observed in this review.

The findings in our scoping review mostly concerned students’ experiences, learning outcomes, and satisfaction, and only one article that reported on the educators’ perspective in addition to the students’ [Citation67]. Although we did not include educators or faculty in our search words, our search strategy aimed to encompass higher education in general and should therefore have detected studies exploring the educators’ perspectives. The lack of such studies may reflect a limitation in our search strategy, but it may also indicate a knowledge gap. As the task of planning and designing health education ultimately falls on the teachers, exploring the topic from their point of view could provide valuable insight.

Strengths and limitations

The primary strength of this study is a thorough and broad search and screening process. The search strategy was developed in close collaboration with an experienced health science librarian to ensure methodological soundness. To increase reliability, all titles were screened, and data was charted by at least two researchers independently, and the researchers charting had many discussions throughout the process. One researcher screened all titles and charted data from all included studies to enhance consistency. Additionally, stakeholders were consulted at several stages of the process to improve the study validity.

The review has several limitations. By including only studies written in English or Scandinavian languages we may not have identified all relevant articles, and language bias may have been introduced. Also, seven of the 39 included articles were identified through hand searching, which could suggest weaknesses in our search strategy. We may have reached overly broad including studies regardless of whether online group work was the main or secondary focus, and regardless of the number of results per study related to online group work. However, group work is a common part of a course curriculum and thus often included in the course evaluation if only as a single item. We therefore assumed that we could lose information relevant to our research question if we excluded these studies. Despite adding a category for data not compatible with the presences in the framework, reviewing our studies through the lens of CoI may have caused us to overlook relevant data. Also, we are aware that our choices in categorization may have influenced our results and interpretation. Moreover, because we decided to use the CoI framework to guide our data analysis, we chose to summarize our data according to the framework rather than using a content analysis approach as proposed in the protocol. Consequently, we derived our main findings more subjectively, deciding to discuss only those facilitators and barriers we found to be of central importance, or integral to more than one element in the CoI Framework.

We chose to change the term digital (group work) used in the protocol, to online (group work) because the screening process revealed the latter to be more commonly used in the literature.

Conclusion

This scoping review identified and summarized several potential facilitators and barriers to online group work in higher education within health sciences. Our findings suggest that creating smaller groups (3–4 students) that persist, and designing group work that foster joint responsibility may facilitate online student group work. Furthermore, making sure that students have access to necessary technological equipment and stable high-speed internet as well as providing support and structure for communication and scheduling meetings among the students may help alleviate potential barriers. We hope, by providing this overview to help researchers and educators within health sciences to navigate the literature on the topic and identify areas that need further research. However, this was an explorative study and further research is needed to investigate the different facilitators and barriers in more detail including the educators’ perspective.

Authors’ contributions

All the authors made substantial contributions to this research. LET, MM, MWG, AB, and LGH contributed to the study concept and design, screening, data charting, and critical revision of the manuscript. LET and MWG contributed to the search strategy. LET contributed to data analysis and wrote the first draft of the manuscript. All authors read and approved the final version of the manuscript.

Supplemental material

Supplemental Material

Download MS Word (48.4 KB)

Acknowledgments

The authors would like to thank the stakeholders Associate Professor Hege Hermansen and Karoline Thomlevold Jøranli for their valuable feedback.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

Data charting schemes can be made available on request

Supplementary material

Supplemental data for this article can be accessed online at https://doi.org/10.1080/10872981.2024.2341508.

Additional information

Funding

This research was supported by the Oslo Metropolitan University and the Norwegian Directorate for Higher Education and Skills [project number Fleks/10142].

References

  • Burgess A, van Diggele C, Roberts C, et al. Facilitating small group learning in the health professions. BMC Med Educ. 2020;20(S2):457. doi: 10.1186/s12909-020-02282-3
  • Gillies R. Cooperative learning: review of research and practice. Australian J Teacher Educ. 2016;41(3):39–19. doi: 10.14221/ajte.2016v41n3.3
  • Lou Y, Abrami PC, Spence JC, et al. Within-class grouping: a meta-analysis. Rev Educ Res. 1996;66(4):423–458. doi: 10.3102/00346543066004423
  • Slavin RE. Research on cooperative learning and achievement: what we know, what we need to know. Contemp Educ Psychol. 1996;21(1):43–69. doi: 10.1006/ceps.1996.0004
  • Johnson RT, Johnson DW. An overview of cooperative learning. In: Thousand J, Villa A, and Nevin A, editors Creativity and collaborative learning. Baltimore: Brookes Press; 1994. p. 14.
  • Johnson D, Johnson R, Roseth C, et al. The relationship between motivation and achievement in interdependent situations. J Appl Social Psychol. 2014;44(9):622–633. doi: 10.1111/jasp.12280
  • Johnson DW, Johnson RT, Smith K. The state of cooperative learning in postsecondary and professional settings. Educ Psychol Rev. 2007;19(1):15–29. doi: 10.1007/s10648-006-9038-8
  • Hammar Chiriac E. Group work as an incentive for learning – students’ experiences of group work. Frontiers In Psych. 2014; 5: doi: 10.3389/fpsyg.2014.00558.
  • Kilgour JM, Grundy L, Monrouxe LV. A rapid review of the factors affecting healthcare students’ satisfaction with small-group, active learning methods. Teach Learn Med. 2016;28(1):15–25. doi: 10.1080/10401334.2015.1107484
  • Wong FMF. A phenomenological research study: perspectives of student learning through small group work between undergraduate nursing students and educators. Nurse Educ Today. 2018;68:153–158. doi: 10.1016/j.nedt.2018.06.013 PubMed PMID: rayyan-873491301.
  • Jackson D, Hickman LD, Power T, et al. Small group learning: graduate health students’ views of challenges and benefits. Contemp Nurse. 2014;48(1):117–128. doi: 10.1080/10376178.2014.11081933
  • Rapanta C, Botturi L, Goodyear P, et al. Online university teaching during and after the covid-19 crisis: refocusing teacher presence and learning activity. Postdigital Sci Educ. 2020;2(3):923–945. doi: 10.1007/s42438-020-00155-y
  • Donelan H, Kear K, Online group projects in higher education: persistent challenges and implications for practice. J Comput High Educ. 2023. doi: 10.1007/s12528-023-09360-7
  • Lee SJ, Ngampornchai A, Trail-Constant T, et al. Does a case-based online group project increase students’ satisfaction with interaction in online courses? Act Learning Higher Educ. 2016;17(3):249–260. doi: 10.1177/1469787416654800
  • Bergeron K, Melrose S, Online graduate study health care learners’ perceptions of group work and helpful instructional behaviors. J Educ Tech. 2006;3:71–77. doi: 10.26634/jet.3.1.1012
  • Männistö M, Mikkonen K, Vuopala E, et al. Effects of a digital educational intervention on collaborative learning in nursing education: a quasi-experimental study. Nordic J Nursing Res. 2019;39(4):191–200. doi: 10.1177/2057158519861041
  • Mannisto M, Mikkonen K, Kuivila H-M, et al. Digital collaborative learning in nursing education: a systematic review. Scand J Caring Sci. 2020;34(2):280–292. doi: 10.1111/scs.12743. PubMed PMID: rayyan-873489742.
  • Garrison DR, Anderson T, Archer W. Critical inquiry in a text-based environment: computer conferencing in higher education. Internet Higher Educ. 2000;2(2–3):87–105. doi: 10.1016/S1096-7516(00)00016-6
  • Stenbom S. A systematic review of the community of inquiry survey. Internet Higher Educ. 2018;39:22–32. doi: 10.1016/j.iheduc.2018.06.001
  • Garrison DR. E-Learning in the 21st century: a community of inquiry framework for research and practice. New York: Routledge; 2017.
  • Castellanos-Reyes D. 20 years of the community of inquiry framework. TechTrends. 2020;64(4):557–560. doi: 10.1007/s11528-020-00491-7
  • Caskurlu S, Richardson JC, Maeda Y, et al. The qualitative evidence behind the factors impacting online learning experiences as informed by the community of inquiry framework: a thematic synthesis. Comput Educ. 2021;165:104111. doi: 10.1016/j.compedu.2020.104111
  • Burbage AK, Jia Y, Hoang T. The impact of community of inquiry and self-efficacy on student attitudes in sustained remote health professions learning environments. BMC Med Educ. 2023;23(1):481. doi: 10.1186/s12909-023-04382-2
  • Martin F, Wu T, Wan L, et al. A meta-analysis on the community of inquiry presences and learning outcomes in online and blended learning environments. Online Learning. 2022;26(1). doi: 10.24059/olj.v26i1.2604
  • Arbaugh JB, Cleveland-Innes M, Diaz SR, et al. Developing a community of inquiry instrument: testing a measure of the community of inquiry framework using a multi-institutional sample. Internet Higher Educ. 2008;11(3):133–136. doi: 10.1016/j.iheduc.2008.06.003
  • Arksey H, O’Malley L. Scoping studies: towards a methodological framework. Int J Soc Res Methodol. 2005;8(1):19–32. doi: 10.1080/1364557032000119616
  • Levac D, Colquhoun H, O’Brien KK. Scoping studies: advancing the methodology. Implement Sci. 2010;5(1):69. doi: 10.1186/1748-5908-5-69
  • Tricco AC, Lillie E, Zarin W, et al. PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation. Ann internal med. 2018;169(7):467–473. doi: 10.7326/M18-0850
  • Ouzzani M, Hammady H, Fedorowicz Z, et al. Rayyan—a web and mobile app for systematic reviews. Syst Rev. 2016;5(1):210. doi: 10.1186/s13643-016-0384-4
  • Richardson JC, Maeda Y, Lv J, et al. Social presence in relation to students’ satisfaction and learning in the online environment: a meta-analysis. Comput Hum Behav. 2017;71:402–417. doi: 10.1016/j.chb.2017.02.001
  • Colquhoun HL, Levac D, O’Brien KK, et al. Scoping reviews: time for clarity in definition, methods, and reporting. J Clinical Epidemiol. 2014;67(12):1291–1294. doi: 10.1016/j.jclinepi.2014.03.013
  • Abdelhakim HE, Brown L, Mills L, et al. Medical and pharmacy students’ perspectives of remote synchronous interprofessional education sessions. BMC Med Educ. 2022;22(1):611.
  • Adwan J. Dynamic online peer evaluations to improve group assignments in nursing e-learning environment. Nurse Educ Today. 2016;41:67–72. doi: 10.1016/j.nedt.2016.03.028
  • Ambrose M, Murray L, Handoyo NE, et al. Learning global health: a pilot study of an online collaborative intercultural peer group activity involving medical students in Australia and Indonesia. BMC Med Educ. 2017;17(1):10. doi: 10.1186/s12909-016-0851-6
  • Breen H. Assessing online collaborative discourse. Nurs Forum. 2015;50(4):218–227. doi: 10.1111/nuf.12091
  • Bristol TJ, Kyarsgaard V. Asynchronous discussion: a comparison of larger and smaller discussion group size. Nurs Educ Perspect. 2012;33(6):386–390. doi: 10.5480/1536-5026-33.6.386
  • Bybee S, Supiano K, Wilson R. Utility and acceptability of a peer assessment rubric to improve interprofessional learning. J Nurs Educ. 2022;61(4):213–216. doi: 10.3928/01484834-20211128-07 PubMed PMID: rayyan-873487597.
  • Darici D, Reissner C, Brockhaus J, et al. Implementation of a fully digital histology course in the anatomical teaching curriculum during COVID-19 pandemic. Anat Anz. 2021;236:151718. doi: 10.1016/j.aanat.2021.151718 PubMed PMID: rayyan-873487853.
  • Ferguson C, DiGiacomo M, Saliba B, et al. First year nursing students’ experiences of social media during the transition to university: a focus group study. Contemp Nurse. 2016;52(5):625–635. doi: 10.1080/10376178.2016.1205458
  • Floren LC, Mandal J, Dall’era M, et al. A mobile learning module to support interprofessional knowledge construction in the health professions. Am J Pharm Educ. 2020;84(2):239–249. doi: 10.5688/ajpe847519 PubMed PMID: rayyan-873488110.
  • Ganotice FA, Chan L, Chow AYM, et al. What characterize high and low achieving teams in interprofessional education: a self-determination theory perspective. Nurse Educ Today. 2022;112:N.PAG–N.PAG. PubMed PMID: rayyan-873488165. doi: 10.1016/j.nedt.2022.105321.
  • Garratt-Reed D, Roberts LD, Heritage B. Grades, student satisfaction and retention in online and face-to-face introductory psychology units: a test of equivalency theory. Front psychol. 2016;7. doi: 10.3389/fpsyg.2016.00673
  • George TP, Murphy PF, DeCristofaro C, et al. Student perceptions regarding collaborative intraprofessional nursing education. Nurse Educ. 2019;44(4):226–230. doi: 10.1097/NNE.0000000000000584
  • George TP, Munn AC, Phillips TA. The use of debates in an online nursing course. Nurse Educ. 2021;46(4):E60–E3. doi: 10.1097/NNE.0000000000000922
  • Govindarajan S, Rajaragupathy S. Online team based learning in teaching biochemistry for first year MBBS students during covid-19 pandemic. biochemistry and molecular biology education: a bimonthly publication of the international union of biochemistry and molecular biology. PubMed PMID: rayyan-873488500. 2022;50(1):124–129. doi: 10.1002/bmb.21598
  • Hastuti AAMB, Noviana E, Siswanto S, et al. Implementing online team-based learning in an interuniversity setting: a case study of a traditional medicine course. Pharm Educ. 2022;22:558–568. doi: 10.46542/pe.2022.221.558568 PubMed PMID: rayyan-873488733.
  • Haugland MJ, Rosenberg I, Aasekjær K. Collaborative learning in small groups in an online course – a case study. BMC Med Educ. 2022;22(1):165. doi: 10.1186/s12909-022-03232-x
  • Hovlid E, Husabo G, Valestrand EA, et al. Learning team-based quality improvement in a virtual setting: a qualitative study. BMJ Open. 2022;12(6):e061390. doi: 10.1136/bmjopen-2022-061390. PubMed PMID: rayyan-873488856.
  • Keynejad R, Ali FR, Finlayson AE, et al. Telemedicine for peer-to-peer psychiatry learning between U.K. and Somaliland medical students. Acad Psychiatry. 2013;37(3):182–186. doi: 10.1176/appi.ap.11080148 PubMed PMID: rayyan-873489220.
  • Keynejad R, Garratt E, Adem G, et al. Improved attitudes to psychiatry: a global mental health peer-to-peer E-Learning partnership. Acad Psychiatry. 2016;40(4):659–666. doi: 10.1007/s40596-014-0206-8. PubMed PMID: rayyan-873489221.
  • Kor PPK, Liu JYW, Kwan RYC. Exploring nursing students’ learning experiences and attitudes toward older persons in a gerontological nursing course using self-regulated online enquiry-based learning during the COVID-19 pandemic: a mixed-methods study. Nurse Educ Today. 2022;111:105301. doi: 10.1016/j.nedt.2022.105301
  • Kwon K, Liu Y-H, Johnson LP, et al. Group regulation and social-emotional interactions observed in computer supported collaborative learning: comparison between good vs. poor collaborators. Comput Educ. 2014;78:185–200. doi: 10.1016/j.compedu.2014.06.004
  • Liu Y-H, Kwon K, Johnson LP. Exploration of factors in the early collaboration phase affecting virtual groups’ overall collaborative learning experiences. J Educ Comput Res. 2018;56(4):485–512. doi: 10.1177/0735633117715034
  • Mayordomo RM, Onrubia J. Work coordination and collaborative knowledge construction in a small group collaborative virtual task. Internet Higher Educ. 2015;25:96–104. doi: 10.1016/j.iheduc.2015.02.003 PubMed PMID: rayyan-873489798.
  • Nicklen P, Keating J, Paynter S, et al. Remote-online case-based learning: a comparison of remote-online and face-to-face, case-based learning - a randomized controlled trial. Educ Health. 2016;29(3):195–202. doi: 10.4103/1357-6283.204213
  • Onrubia J, Rochera MJ, Engel A. Promover la regulación individual y grupal del aprendizaje en entornos colaborativos: una experiencia en Educación Superior. Electron J Res Educ Psychol. 2015;13(35):189–210. doi: 10.14204/ejrep.35.14058 PubMed PMID: EJ1060515.
  • Palmer RH, Moulton MK, Stone RH, et al. The impact of synchronous hybrid instruction on students’ engagement in a pharmacotherapy course. Pharm Pract (Granada). 2022;20(1):2611–2611. doi: 10.18549/PharmPract.2022.1.2611 PubMed PMID: rayyan-873490194.
  • Peterson AT, Roseth CJ. Effects of four CSCL strategies for enhancing online discussion forums: social interdependence, summarizing, scripts, and synchronicity. Int J Educ Res. 2016;76:147–161. doi: 10.1016/j.ijer.2015.04.009 PubMed PMID: rayyan-873490268.
  • Prosser M, Stephenson T, Mathur J, et al. Reflective practice and transcultural psychiatry peer e-learning between Somaliland and the UK: a qualitative evaluation. BMC Med Educ. 2021;21(1):58.
  • Raymond A, Jacob E, Jacob D, et al. Peer learning a pedagogical approach to enhance online learning: a qualitative exploration. Nurse Educ Today. 2016;44:165–169. doi: 10.1016/j.nedt.2016.05.016
  • Raynault A, Lebel P, Brault I, et al. How interprofessional teams of students mobilized collaborative practice competencies and the patient partnership approach in a hybrid IPE course. J Interprof Care. 2021;35(4):574–585. PubMed PMID: rayyan-873490417. doi: 10.1080/13561820.2020.1783217
  • Rogo EJ, Portillo KM. Building online learning communities in a graduate dental hygiene program. J Dental Hygiene. 2014;88(4): 213–228. PubMed PMID: rayyan-873490506.
  • Ropero-Padilla C, Rodriguez-Arrastia M, Martinez-Ortigosa A, et al. A gameful blended-learning experience in nursing: a qualitative focus group study. Nurse Educ Today. 2021;106:105109. doi: 10.1016/j.nedt.2021.105109
  • Sand J. Student perceptions of an undergraduate interprofessional capstone course including health information management. Perspect Health Inf Manag. 2021;18(3):1j. doi: 10.1080/13561820.2017.1377691. PubMed PMID: rayyan-873490587.
  • Shimizu I, Matsuyama Y, Duvivier R, et al. Perceived positive social interdependence in online versus face-to-face team-based learning styles of collaborative learning: a randomized, controlled, mixed-methods study. BMC Med Educ. 2022;22(1):567. doi: 10.1186/s12909-022-03633-y PubMed PMID: rayyan-873490732.
  • Siah C-J, Huang C-M, Poon YSR, et al. Nursing students’ perceptions of online learning and its impact on knowledge level. Nurse Educ Today. 2022;112:105327. doi: 10.1016/j.nedt.2022.105327
  • Trobec I, Starcic AI. Developing nursing ethical competences online versus in the traditional classroom. Nurs Ethics. 2015;22(3):352–366. doi: 10.1177/0969733014533241 PubMed PMID: rayyan-873491052.
  • Vogt MA, Schaffner BH. Evaluating interactive technology for an evolving case study on learning and satisfaction of graduate nursing students. Nurse Educ Pract. 2016;19:79–83. doi: 10.1016/j.nepr.2016.05.006 PubMed PMID: rayyan-873491164.
  • Wolcott MD, Kornegay EC, Brame JL. Safe to speak: fostering psychological safety among incoming predoctoral dental students. J Dent Educ. 2022;86(7):863–873. PubMed PMID: rayyan-873491293. doi: 10.1002/jdd.12891
  • Yamashita T, Osawa S, Ota K, et al. Interdisciplinary groups perform better than intradisciplinary groups in online group discussion activities. Med Educ Online. 2021;26(1):1886649. doi: 10.1080/10872981.2021.1886649
  • Garrison DR. Communities of inquiry in online learning. In: Rogers P, Berg G, Boettcher J, Howard C, Justice L Schenk K, editors Encyclopedia of distance learning. Second ed. Hershey, PA, USA: IGI Global; 2009. pp. 352–355.
  • Akyol Z, Garrison DR. The development of a community of inquiry over time in an online course: understanding the progression and integration of social, cognitive and teaching presence. J Asynchronous Learn Networks. 2008;12(3):3–22. doi: 10.24059/olj.v12i3.66
  • Parmelee D, Michaelsen LK, Cook S, et al. Team-based learning: A practical guide: AMEE Guide No. 65. Med Teach. 2012;34(5):e275–e87. doi: 10.3109/0142159X.2012.651179
  • Chang Y, Brickman P, Tanner K. When group work doesn’t work: insights from students. CBE Life Sci Educ. 2018;17(3):ar42. doi: 10.1187/cbe.17-09-0199 PubMed PMID: 30183565; PubMed Central PMCID: PMC6234829.
  • Thistlethwaite JE, Davies D, Ekeocha S, et al. The effectiveness of case-based learning in health professional education. A BEME systematic review: BEME guide No. 23. Med Teach. 2012;34(6):e421–e44. doi: 10.3109/0142159X.2012.680939
  • Polyzois I, Claffey N, Mattheos N. Problem-based learning in academic health education. A systematic literature review. Eur J Dent Educ. 2010;14(1):55–64. doi: 10.1111/j.1600-0579.2009.00593.x