2 Creating conditions that favor collaboration

 

Bringing people together around a task is a prerequisite but not a guarantee of collaborative effort (Chang & Brickman, 2018). Johnson et al. (1998) therefore formulated five key elements, referred to as “internal dynamics”, which make collaboration work. We note that the original literature places these elements in the context of ‘cooperation’, but they also apply to collaboration. These five elements overlap with factors that determine the aforementioned group beliefs. The elements are: 1) positive interdependence, 2) individual accountability, 3) face-to-face promotive interaction, 4) employment of social skills and 5) group processing.  In regards to interdependence; the task must be complex, ideally authentic, and require the use of multiple skills to be successfully accomplished. Students, or company personnel, must be able to make unique contributions. In education, the task must also align with cognitive and social skills objectives; in companies, it must be clear what the shared purpose is.  Individual accountability means that group members are responsible for their contribution to the group activity and for their acquired knowledge or understanding. It implies that individual performance is assessed and the results are fed back to the group and/or linked to an individual grade. The need for individual accountability is based on the findings that some people work better, or harder, when their input is also recognized outside the group (Slavin, 1996). Collective contexts that provide a great deal of information about individual contributions are perceived as more important to individuals than contexts that provide less information (or none) (Karau & Williams, 1993), hence this may explain why people may make a greater effort. Along the same lines, positive group experiences are expressed primarily in terms of good and helpful contributions by individual members (Chang & Brickman, 2018). In conclusion, individual accountability is perceived as very important. Moreover, groups may find it unfair if non-productive members share the group grade (Freeman & McKenzie, 2002). Anticipating unfairness, or not feeling recognized for your input, can have a negative effect on commitment to subsequent collaboration.

Face-to-face promotive interactions, the fourth element, are defined as a type of social interaction that encourages members to participate and contribute to group work (Johnson & Johnson, 1999). The use of social skills has much to do with empathy, finding out the needs of other team members. The fifth element, group processing, involves an ongoing process of feedback, where groups are given dedicated time to discuss how well they are achieving their goals and maintaining effective working relationships between members.

In the collective effort model (Karau & Williams, 1993, 2001), individual accountability is described as a factor that determines “individual outcomes.” The joint individual outcomes constitute the essential reward of a group project (described as “valence of outcome”): the higher the perceived valence of outcome, the stronger the individual effort (described as “motivational force”). An expected lack of “individual outcomes,” due to limited recognition of personal commitment (because the group is too large, or due to lack of individual evaluation), would reduce commitment to a group project (and is considered one of the causes of “social loafing”).

Collaboration Steered by Teacher Interventions

Following Johnson’s et al. (1998) five key elements, in order to promote collaboration, teachers may give students separate resources (jigsaw approach) (Mesch, 1991) and complementary roles thereby creating interdependence. Teachers may use individual tests to check if students had learned from their peers and use these test results in the calculation of the group grade (element of individual accountability). Teachers may also eavesdrop on groups and intervene if group members are not supporting each other. They may give instructions about problem solving techniques, and show how to communicate one’s knowledge with peers or challenge students to reason their conclusions. Teachers must teach leadership, trust-building, decision-making and conflict-management skills (element of social skills). Finally, teachers must ensure that students take time to engage in group processing. They must observe how members have participated in stream-lining the learning process, how they have alerted group members of unskilled and inappropriate actions and what actions have been undertaken to improve the group work (Johnson & Johnson, 2009). The term teacher can be replaced by “manager”, “superior” or “leader” in case of work-organizations. Collectively, group functioning instructions and individual tests are generally appreciated by teaching-staff and students and they facilitate collaborative effort, reduce social loafing, steer towards positive group-beliefs both in academic (Chapman & van Auken, 2001; Gillies, 2004; Ko, 2013; Mello, 1993: Slavin, 1996; Strong & Anderson, 1990) and in professional settings (Salas, 2008).

Limitations to top-down interference

There are however limits to what a teacher/leader can do and should do. For instance, individual testing is hardly feasible when the tasks are complex, open ended, and requiring different skills that are impossible to measure individually (Strong & Anderson, 1990). Also, with respect to monitoring and correcting group functioning, in numerous occasions group members will spent more time working on their task “out of sight”. Moreover, we repeatedly observed, as bystanders in evaluation sessions at school, that teachers (and probably also company leaders) have biased views of group functioning. Indeed several studies revealed that teachers differentiate their behaviors towards individual students based on their expectancies of those students (Domen et al., 2019; Harris & Rosenthal, 1985). This is an undesirable situation for collaborative projects because it may force students (or employees), who now have the unique opportunity to express themselves differently, to resume the role they have been “assigned” in traditional class teaching (or work settings). Finally, too much top-down involvement and too many instructions to make collaboration work contradicts a fundamental characteristic of collaborative effort namely that ownership and control of the task should be given to the group members (Blatchford, 2003). This is beyond our competence, but it is quite possible that too much top-down intervention is a major cause of poor transactive dialogue in work organizations; it makes collaboration “busy work” (discussed in “a potential loss of autonomy”). In architectural terms, it is more about form than function and leads to staff malfunctioning (Cross et al., 2016). In both education- and work settings, this can result in members focusing on teachers or on managers, rather than on the task and the group of which they are a part.

Importantly, it is our experience that students at the end of high school or at the beginning of University are quite familiar with behaviors that lead, and do not lead, to productive collaborative efforts. The ground rules for group functioning that they propose (Kramer & Kusurkar, 2017; Student vs Expert ground rules) are not short of what educators and psychologists have produced (see for instance, Gillies, 2004 and Ohland et al., 2012). And since many workers have completed at least high school, this knowledge of group functioning should also apply to work organizations. 

Scientific literature on group work gives the impression that school and university students, as well as employees, are incapable of good collaboration because they have never been properly trained. Whether you take primary school classes or company employees, group work training always increases the effectiveness of the group processes (Gillies & Ashman, 1996; Prichard, Stratford & Bizo, 2006; Salas, 2008; Yager et al., 1986). While there is an undeniable role for group training, starting early in education followed by “reminders” at later stages (because people tend to forget) it is our view that whether group members deploy their knowledge of groupworking is largely determined by: the importance they see in the task, the responsibilities they are given (Scager et al., 2016) and how collaborative effort is evaluated and valued. In terms of evaluation and appreciation, it is the same as with traffic rules, people know them, they passed the test, but without external control many will slip into a rather free interpretation that is generally not conducive to overall road safety. There are other factors that determine engagement in group work, which are more difficult to control, such as previous experiences and the overall goal orientation (extrinsic or intrinsic) of individual members (Ryan & Deci, 2017).

Collaboration Steered by Group Self-Evaluation

As an alternative to the teacher/leader-based interventions described above, group self-evaluation can be applied. In this evaluation, also known as group “auto-rating” (Brown, 1995) or “self-assessment” (Conway, 1993), group members either give an overall judgment of individual contributions, holistic approach, or they measure individual contribution against a set of rules, category-based approach (Brown, 1995; Conway, 1993; Lejk & Wyvill, 2001). In an educational setting, the evaluation reports are then converted into individual weighting factors (IWF) which, when multiplied by the group grade, result in an individual grade. Group self-evaluation, when applied during and at the end of a collaborative task, addresses three elements of the internal dynamics mentioned previously (Johnson et al. , 1998), namely individual responsibility, employment of social skills and group processing. Like for teacher-based evaluation described above, group self-evaluation encourages individual accountability because it is a way of uncovering individual contributions to the group effort. Self-evaluation may also influence group beliefs, it may lead to enhanced psychological safety and cohesion. The underlying reason is that group members have a formal way of airing problems and therefore have a sense of control, “a sense of autonomy” (see next page about “Self-Determination Theory“).  Group self-evaluation does not go without a flaw, especially as a result of overly generous (to others) or overly self-promoting members. Numerous studies have therefore considered mathematical strategies to better ensure the fairness of peer evaluation by limiting possible excesses in individual assessment (Goldfinch, 1994; Ko, 2013; Neus, 2011; Spatar, 2014). We do not think correcting for large interrater differences is a good idea because the quality of self-evaluation is a good measure of the extent to which a group member is truly group-oriented. we discuss this in “self-evaluation feedback”. The overall results of these studies suggest that group self-evaluation works well and that the beneficial effect on group functioning more than compensates for any problems that may occur (Forsell et al., 2020; Freeman & McKenzie, 2002; Kaufman et al., 2013; O’Neill et al., 2018; Weaver & Esposto, 2012).

Research on the impact of group self-evaluation has focused primarily on the need for individual accountability and the sense of fairness experienced by students (citations above). As for secondary or higher education, few studies deal with the potential beneficial effects on collaborative learning. Three studies report an increase in student engagement (Kench et al. 2009; Mello, 1993; Weaver & Esposto, 2012) and one study reports that self-evaluation encourages equal contributions by group members and controls free-rides (Freeman & cKenzie, 2002). As already mentioned, an additional benefit of self-evaluation is that it gives students a good opportunity for self-control, a sense of autonomy, the subject of the group self-evaluation procedure that we discuss in the next pages.

references

Blatchford, P., Kutnick, P., Baines, E., & Galton, M. (2003). Toward a social pedagogy of classroom group work. International Journal of Educational Research, 39(1/2), 153-172. http://dx.doi.org/10.5465/amle.2010.0177  

Brown, R.W. (1995, November 1-4). Autorating: Getting individual marks from team marks and enhancing teamwork. Proceedings Frontiers in Education, 25th Annual Conference, Atlanta, GA, USA. https://doi.org/10.1109/FIE.1995.483140

Chang, Y., & Brickman, P. (2018). When group work doesn’t work: insights from students? CBE-Life Sciences Education, 17(ar52), 1-17. https://doi.org/10.1187/cbe.17-09-0199

Chapman, K.J., & van Auken, S. (2001). Creating positive group project experiences: an examination of the role of the instructor on student’s perception of group projects. Journal of Marketing Education 23(2), 117-127. https://doi.org/10.1177/0273475301232005

Conway, R., Kember, D., & Wu, A.S & M. (1993). Peer assessment of an individual‘s contribution to a group project. Assessment & Evaluation in Higher Education, 18(1), 45-56. https://doi.org/10.1080/0260293930180104

Cross, R., Rebele, R., & Grant, A.  (2016). Collaborative Overload. Harvard Business Reviews. https://hbr.org/2016/01/collaborative-overload 

Domen, J., Hornstra, L., Weijers, D., van der Veen, I., & Peetsma, T. (2019). Differentiated need support by teachers: student-specific provision of autonomly and structure and relations with student motivation. Britisch Journal of Educational Psychology, 90(2), 403-423. https://doi.org/10.1111/bjep.12302

Freeman, M., & McKenzie, J. (2002). SPARK, a confidential web–based template for self and peer assessment of student teamwork: benefits of evaluating across different subjects. British Journal of Educational Technology, 33: 551-569. https://doi.org/10.1111/1467-8535.00291

Forsell, J., Forslund Frykedal, K., & Hammar Chiriac, E. (2020). Group Work Assessment: Assessing Social Skills at Group Level. Small Group Research, 51(1), 87–124. https://doi.org/10.1177/1046496419878269)

Gillies, R.M. (2004). Structuring cooperative group work in classrooms. International Journal of Educational Research 39(1,2), 35-49. https://doi.org/10.1016/S0883-0355(03)00072-7

Gillies, R., & Ashman, A. (1996). Teaching collaborative skills to primary school children in classroom-based work groups. Learning and Instruction 6, 187-200. https://doi.org/10.1016/0959-4752(96)00002-3

Harris, M.J. & Rosenthal, R. (1985). Mediation of interpersonal expectancy effects: 31 meta-analyses. Psychological Bulletin, 97, 363–386. https://doi.org/10.1037/0033-2909.97.3.363

Goldfinch, J. (1994). Further developments in peer-assessment of group projects. Assessment and Evaluation in Higher Education 19(1), 29-35. https://doi.org/10.1080/0260293940190103

Johnson, D. W., & Johnson, R. T. (1999). Making cooperative learning work. Theory into Practice, 38(2), 67–73. https://doi.org/10.1080/00405849909543834

Johnson, D.W., & Johnson, R.T. (2009). An educational psychology success story: social interdependence and cooperative learning. Educational Researcher, 38(5), 365-379). https://doi.org/10.3102/0013189X09339057

Johnson, D.W., Johnson, R.T., & Smith, K.A. (1998). Cooperative learning returns to college: what evidence is there that it works? Change: The Magazine of Higher Learning,30(4), 27-35. https://doi.org/10.1080/00091389809602629

Karau, S.J., & Williams, K.D. (1993). Social loafing: a meta-analytic review and theoretical integration. Journal of Personality and Social Psychology 65(4), 681-706. https://www1.psych.purdue.edu/~willia55/392F-’06/KarauWilliamsMetaAnalysisJPSP.pdf

Karau, S.J., & Williams, K.D. (2001). Understanding individual motivation in groups: the collective effort model. In: Groups at work: theory and research. Eds. Turner, M.E., Lawrence Erlbaum Associates. https://doi.org/10.4324/9781315805986

Kaufman, D.B., Felder, R.M., & Fuller, H. (2013). Accounting for individual effort in cooperative learning teams. Journal of Engineering Education, 89(2), 133-140. https://doi.org/10.1002/j.2168-9830.2000.tb00507.x

Kench, P. L., Field, N., Agudera, M., & M. Gill. (2009). Peer Assessment of Individual Contributions to a Group Project: Student Perceptions. Radiography, 15(2), 158–165. https://doi.org/10.1016/j.radi.2008.04.004

Ko, S.-S. (2013). Peer assessment in group projects accounting for assessor reliability by an iterative method. Teaching in Higher Education, 19, 301-314. https://doi.org/10.1080/13562517.2013.860110

Kramer, I.M., & Kusurkar, R.A. (2017). Science-writing in the blogosphere as a tool to promote autonomous motivation in education. The Internet and Higher Education,35, 48-62. https://doi.org/10.1016/j.iheduc.2017.08.001

Lejk, M., & M. Wyvill. (2001a). Peer Assessment of Contributions to a Group Project: A Comparison of Holistic and Category-based Approaches. Assessment & Evaluation in Higher Education, 26(1), 61–72). https://doi.org/10.1080/02602930020022291

Mello, J. A. (1993). Improving Individual Member Accountability in Small Work Group Settings. Journal of Management Education, 17, 253-259. https://doi.org/10.1177/105256299301700210

Mesch, D. J. (1991). The jigsaw technique/ a way to establish individual accountability in group work. Journal of Management Education, 15(3), 355-358. https://doi.org/10.1177/105256299101500308

Neus, J. L. (2011). Peer Assessment Accounting for Student Agreement. Assessment & Evaluation in Higher Education, 36(3); 301–314. https://doi.org/10.1080/02602930903342315

O’Neill, T.A., Deacon, A., Gibbard, K., Larson, N., Hoffart, G., Smith, J., & Donia, B.L.M. (2018). Team dynamics feedback for postsecondary student learning teams, Assessment & Evaluation in Higher Education, 43(4), 571-585. https://doi.org/10.1080/02602938.2017.1380161

Ryan, R.M., Deci, E.L. (2017). Chapter 11, Goal Contents Theory. In:  Self-Determination Theory. The Guildford Press, ISBN 9781462538966.

Salas, E., DiazGranados, D., Klein, C., Burke, C.S., & Stagl, K.C. (2008). Does team training improve team performance? A meta-analysis. Human Factors 50(6), 903-933. https://doi.org/10.1518/001872008X375009

Scager, K., Boonstra, J., Peeters, T., Vulperhorst, J., & Wiegant, F. (2016). Collaborative learning in higher education: Evoking positive interdependence.  CBE-Life Sciences Education, 15(ar69), 1-9. https://doi.org/10.1187/cbe.16-07-0219

Slavin, R.E. (1996). Research on cooperative learning and achievement: What we know, what we need to know. Contemporary Educational Psychology, 21, 43-69. https://doi.org/10.1006/ceps.1996.0004

Spatar, C., Penna, N., Mills, H., Kutija, V., & Cooke, M. (2014). A robust approach for mapping group marks to individual marks using peer assessment. Assessment & Evaluation in Higher Education, 40(3), 371-389. https://doi/10.1080/02602938.2014.917270

Strong, J.T., & Anderson, R.E. (1990).  Free-riding in group projects: control mechanisms and preliminary data. Journal of Marketing Education, 12(2), 61-67. https://doi.org/10.1177/027347539001200208

Weaver, D., & Esposto, A. (2012). Peer Assessment as a Method of Improving Student Engagement. Assessment & Evaluation in Higher Education, 37(7), 805–816. https://doi.org/10.1080/02602938.2011.576309

Yager, S., Johnson, R. T., Johnson, D. W., & Snider, B. (1986). The impact of group processing on achievement in cooperative learning groups. Journal of Social Psychology 126(2), 389-397. https://doi.org/10.1080/00224545.1986.9713601