Abstract
The setting for medical practitioners typically involves collaborative and interdisciplinary teams. Medical schools have embraced many teaching methods that use a group of learners to facilitate learning. However, the actual learning benefits of these methods require additional inquiry in the areas of team cognition and team processes. There is limited research that evaluates the value of the team process behaviors in medical education to improve collaborative learning outcomes. This conceptual article provides a framework for team learning processes based on the theoretical foundation of social learning and the development of group shared mental models during team interactions that impact a student’s performance.
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Introduction
In today’s medical community, delivering the best possible clinical care to patients seldom depends on a clinician practicing in isolation; rather a team of skilled medical professionals working collaboratively provides optimal patient care. Working in teams has become an essential component in contemporary healthcare organizations, representing a useful strategy for providing successful medical practice [1]. Teams are expected to enable greater productivity, adaptability, and creativity compared to what an individual physician can offer [2]. Empirical research has provided ample evidence of the positive link between team behavior and group performance [3–5]. Well-functioning teams exhibit good communication and teamwork skills, which produce better clinical judgments, practices, and decision-making [6].
The accreditation standards by both the Liaison Committee on Medical Education (LCME) and the Commission on Osteopathic College Accreditation (COCA) require emphasis on communication skills and interprofessional collaborative team skills as part of the medical education curricula [7, 8]. Those standards recognize the need for interdisciplinary healthcare teams including physicians, nurses, and allied health professionals who work collaboratively to improve patient safety and to provide better patient care outcomes. Interprofessional education (IPE) was viewed to positively affect patient satisfaction, collaborative team behavior, and reduction of clinical errors rates for emergency department teams [9]. Recently, the American Association of Medical Colleges (AAMC) published new guidelines, The Core Entrustable Professional Activities (EPAs) for Entering Residency to provide expectations for medical students entering residency [10]. The Core EPAs require all medical graduates, regardless of their future career specialty, to be able to collaborate as a member of interprofessional team. As a result, medical school faculty is finding the need for innovative small-group collaborative learning activities, which will develop high-performance learning teams to increase understanding and application of medical knowledge, enhance critical thinking skills, and improve interpersonal skills. However, collaborative learning is not something that comes naturally to most medical students, since previous undergraduate learning experiences included a reward system that acknowledges individual accomplishments in a competitive environment [11]. That is, the interaction between students is characterized by negative goal interdependence, which reflects one person winning and the other losing. A shift is needed to create an environment that promotes positive goal interdependence for better development of team skills to enhance learning as well as foster the development of interpersonal communication skills.
Since the setting for medical practitioners typically involves collaborative and interdisciplinary teams, there has been a growing movement in medical education to improve small-group pedagogy and learning outcomes. As a consequence, teaching strategies such as problem-based learning [12, 13], team-based learning [14–16], and peer-teaching [17–20] have been introduced into medical school curricula to promote student-centered, active learning in a real world setting. These learning methods create circumstances in which students must work together cooperatively to solve clinical problems while applying their learning to real world practice situations. Medical schools have made major efforts over the past decade to reform their curricula with the focus of learning redirected towards the learners themselves working together in collaboration. Sultan and Hussain [21] affirmed effective learning to be an interactive process involving learners in different activities to achieve the learning outcomes. This innovative educational strategy relies on structured, student-centered activities that facilitate learning in an active, engaged manner versus passive learning [22]. Small-group learning has been adopted widely in medical education and research shows its benefits to include increased academic achievement, efficient use of instructional time, increased peer interaction, improved interpersonal relationships, transfer of skills, development of professional skills such as communication, teamwork, decision making, leadership, valuing other team members, student engagement, and satisfaction (e.g., positive feeling about the learning experience) [11, 16, 23–28].
In the context of medical education, there is little empirical data with regard to the cognitive, affective, and social mechanisms underlying effective team performance. However, research on teams in the work setting has resulted in a number of constructs used to explain team cognitions, such as shared understanding, distributed cognition, shared knowledge, shared cognition, and team schema [29, 30]. Studies on effective team performance resulted in improved understanding about the teams’ behaviors and have linked team cognition to many indicators and predictors of effective team performance [25, 31–34]. The overall goal of this conceptual article is to expand on previous work [35] that analyzes empirical research on team cognition while developing a conceptual framework, which can be used to improve the process of team learning in medical education.
Theoretical Foundations of Social Learning
In this section, we provide the theoretical foundation of learning teams. Social constructivist theory, situated learning theory, and the social interdependence theory are the primary theories to explain team cognition. All of these theories address the importance of the social aspect of learning and the importance of communication skills during group interactions or social activities.
The instructional strategies of cooperative learning, collaborative learning, and team-based learning have their roots well-grounded in learning theory; primarily, they emerged from the social and cognitive constructivist theories of social learning theory. In the constructivist theory [36], students take an active role in their own learning by constructing new ideas when utilizing previous and current knowledge. Bruner [36, 37] and Vygotsky [38, 39] included social aspects of learning as a primary source of cognitive development. Piaget [40] explored cognitive structures as they related to cognitive development and argued that cognitive structures were seen as patterns of physical or mental action that exist at a given stage of development. These cognitive structures changed through the processes of interpreting events in terms of existing cognitive structure. As students actively collaborate with one another and have productive communication, they develop social skills and two-way communication skills that help them learn to interact with each other [41]. Through active engagement socially with others, students embrace the responsibility for learning [42, 43]. As this social interaction takes place in groups and as programs adopt small-group learning, they have reported a marked increase in student attendance, student engagement, and staff satisfaction [24, 44, 45]. Active collaborative learning methods which help problem-solving and critical thinking skills provide a higher level of cognitive functioning, lead to a greater degree of understanding and retention [46].
The situated learning theory is another theory that provides explanation and insight into social learning and team cognition. The theory emphasizes that much of what is learned is specific to the situation or particular setting in which it is learned [47]. In situated learning, knowledge is presented in an authentic context, and for learning to occur, it requires social interactions. Situated learning involves people being full participants in groups and generating meaning from those interactions, and learning is in the relationships between people as well as in the conditions that bring people together and organize a point of contact that allows particular pieces of information to take on relevance [48, 49]. The social engagement represents the interaction between individuals in an effort to develop shared meaning and to form new knowledge. As this engagement of learning and conversations occur within situational contexts, there is the opportunity to create communities of practice. Wenger [50] defined a community of practice as a group formed by people who engage in a process of collective learning in a shared domain of human engagement. Lave and Wenger [47] explain the community of practice as a place that learning occurs when learning outcomes are defined and engaged in together. The three basic dimensions that define a community of practice are (1) the domain of shared interest, (2) the community of members who interact and learn together, and (3) the shared practice (shared repertoire of resources).
Learning in small groups is a social activity in which social interaction is believed to be the driving force of developing team cognition. The social interdependence theory [51] explains the importance of all team members working toward a common goal and how that is affected by individual and group actions. Social interdependence occurs when the goal of individual is affected by the actions of others [52–54]. There are two types of social interdependence: (1) positive interdependence (cooperation) leading to positive correlation among individuals’ goal achievement and (2) negative interdependence (competition) leading to negative correlation among individuals’ goal achievement. During the group process, when the action of individual team members promotes the achievement of the group goals, it leads to positive interdependence, which results in positive group interactions [55].
The abovementioned theories are centered on the importance of social interactions in learning teams. In all teaching methods that involve small-group interactions, more efforts are needed to develop team-related skills [56] such as communication, professional behavior, appropriate peer evaluation, and emotional, social, and interpersonal skills. These skills are studied and better explained by the utilization of a team process framework leading to the development of shared mental models (SMMs) and the identification of the major factors that affect the performance of the team.
Team Process Framework and the Development of SMMS
From a cognitive standpoint, a mental model is an explanation of how people organize material in structured, meaningful patterns that are stored in memory [57]. Team mental models are organized mental representations of knowledge about team’s environment that are shared by team members [58]. The terms team mental model, shared mental model, teamwork schema, shared understanding, and shared cognition have been used interchangeably to explain team functioning [58]. As team members work with each other, they start to develop shared mental models about the team and the task. Understanding the shared mental model advances our understanding of teamwork and team decision-making that correlates with the achievement of the learning outcomes.
The term shared mental model (SMM) includes sharing of team knowledge (teamwork, how to accomplish the task), as well as task knowledge (taskwork, what needs to be accomplished). Cannon-Bowers et al. [57] defined team knowledge as the knowledge associated with the team members’ preferences, attitudes, strengths, and tendencies, beside knowledge about team interactions, which describes teammates’ roles and responsibilities, interaction patterns, communications channels, role interdependencies, and information resources. The task knowledge is a very specific knowledge that is needed to successfully perform the task in terms of understanding the technology/equipment functioning and procedure and share knowledge about task strategies, procedures, and environmental conditions [57]. A team mental model includes the knowledge, skills, behaviors, and attitudes needed for effective team performance [59]. Team knowledge significantly improves team performance and provides framework for the explanations of the quality of team interactions. Thereby, it provides guidance for the selection of effective strategies that promote SMMs developments.
The development of the SMM and how it relates to team performance is diagramed in Fig. 1. The initial team cognition represents teammates’ SMMs about the team and tasks before joining the team. During the process of team interactions, through the process of communication and coordination, the team members continue to develop updated SMMs. Changes in SMMs during these interactions lead to the development of new knowledge about the team and the tasks that would positively influence team performance. An understanding of team process behaviors is an important step in evaluating learning outcomes. It is essential to evaluate team process behaviors during learning activities of different tasks as we assess learning outcomes. For example, more efficient and effective group learning is achieved with more complex learning tasks; otherwise, the communication and coordination process will impose an unnecessary cognitive load for a single individual who could easily process the less complex tasks [60, 61].
Many studies suggest a causal relationship between SMMs and team performance [31, 57, 62] outline the value of SMMs in explaining team processes and predicting team performance. Figure 2 summarizes the relationship between the factors contributing to the development of SMMs and team performance and outcomes. Five major factors that affect the development of SMMs have been identified including (1) team knowledge, (2) team skills, (3) team attitudes, (4) team dynamics, and (5) team environments [63]. These factors are important components of the interactions that occur among team members leading to the development of SMMs.
Team Knowledge
Team knowledge consists of knowledge related to the teammate and knowledge related to the task [57]. Task-related knowledge includes knowledge of task procedures, contingencies, environment, and equipment. Team-related knowledge includes team interactivity as well as the knowledge, skills, attitudes, preferences, and tendencies of the team members [57]. Team interactivity includes roles/responsibilities, information sources, interaction patterns, communication channels, role interdependencies, and information flow. Teams with developed SMMs better communicate and adapt to changes in task demands [57, 64]. High degrees of SMMs (e.g., degree of similarity) lead to greater team expectations which influence effective team behaviors [64]. A meta-analysis by DeChurch and Mesmer-Magnus [65] examined different measurements of SMMs in relation to team process and performance. All measurement methods: elicitation methods (e.g., similarity rating, concept maps), structure representation (e.g., pathfinder, multidimensional scaling), and representation of emergence (e.g., agreement, consistency) have indicated that SMMs were positively related to team performance. Teammates who have similar beliefs and knowledge structures are better able to anticipate their teammates’ actions and information needs and respond effectively [57, 66–68]. However, team knowledge impacts team performance more than task knowledge [69]. This leads to more emphasis on teamwork rather than taskwork during team training [70].
Team Skills
Team skills refer to the ability needed to interact with other team members to perform a task. Team skills can be learned through participation in complex and challenging team assessment tasks. This means the instructor must design meaningful, complex activities that cannot be completed by an individual alone [71]. The major components of team skills refer to communications, team orientation, team leadership, monitoring skills, feedback, backup behavior, and coordination [72]. Communication skills, interpersonal skills, and leadership skills are considered generic skills that are transferable to other teams [59]. Specific team interactions such as communication and coordination mediate the development of SMMs and influence team performance [69, 73, 74].
Team Attitude
Team attitude is a state that effects an individual’s decision and choices to act in a certain way under certain situations [59]. Teams with shared values and beliefs have compatible perceptions for effective decision-making [75]. That is, team members do not share identical mental models, but hold compatible mental models in terms of team expectations. For positive interdependence, which is considered essential to successful cooperative learning, the task of the group goal must be established so that completion of the activity can only be accomplished through the participation of all individuals within the group [13, 76]. The assumption is that if students value the success of the group, they will encourage and help one another achieve the intended goal. Other examples for developing positive interdependence besides establishing group goals are assigning individual roles, giving joint rewards, and using shared resources.
Team Dynamics
Team dynamics are teamwork processes that consist of information exchange, dynamic interaction, supporting behavior, and guidance [77]. Mark et al. [78] defined team process as “members’ interdependent acts that convert inputs to outcomes through cognitive, verbal, and behavioral activities directed toward organizing taskwork to achieve collective goals, p. 357.” The management of group dynamics is increasingly being recognized as crucial for the success of the small-group learning setting. Nonose et al. [79] examined the congruency between self and others’ perceptions of the dynamics of team cooperation through a team situation awareness instrument. Their results highlighted an individual’s need to know the team not just as personalities, but to know what all members are doing during the events of completing a task and blending one’s own perceptions of one’s own work with the perceptions of others. The development of group dynamics has been investigated in problem-based learning [56, 80], and studies found a low awareness of effective group dynamics among students and tutors as well as a discrepancy between self-reported behavior and observed behavior. Successful learning in a team setting requires team members to be aware of effective group processes that would be reflected in a better match of a member’s self-perceptions and the actual observed behavior.
Specific types of student behavior in small-group learning settings have an impact on group dynamics. A study by De Grave et al. [81] highlighted the issue of dysfunctional groups that hinder the achievement of the objectives of small-group learning and the need for more and different research on all the underlying processes, including cognitive, motivational, and group processes that explain why tutorial groups are or become unproductive. Elgort et al. [82] also found that students appreciated group activities; however, significant numbers of students believed that they could complete assignments better on their own. Therefore, there is a need to train both instructors and students on how to guide the group behavior dynamics towards success [83].
Team Environment
Team environment factor includes knowledge about the resources used by the team to complete a task such as technology, as well as the knowledge about the environment in which the task is being completed. Team environment can include organizational factors such as organizational structure and culture. Cannon-Bowers et al. [57] included the team environment when describing task-related knowledge where team members shared understanding of team procedures, strategies, task contingencies, and environmental conditions.
Practical Implications of Using the Team Process Framework
The team process framework provides a structure that highlights several key factors involved in team performance and also provides insights into several applied issues related to group learning. By understanding this framework, medical educators who use any version of small-group collaborative learning will be able to better facilitate group interaction and provide effective feedback to students. That is, for better learning outcomes, educators should not only focus on content learning, but also consider a team process framework to facilitate group interaction strategies. The practical implication of using the team process framework is explained in improving the development of the SMM, team interaction strategies, and assessment of team processes.
Improvement in the Development of the Shared Mental Model
Learning in teams has been viewed as an effective learning strategy; however, issues related to team processes were also identified [16, 24, 25]. These issues are related to the fact that newly formed teams do not appreciate the importance of interactions that lead to the development of the SMM. Team members must be willing to engage in interactions conducive to the development of shared understanding about the team and the task. Therefore, early awareness of the benefits of working in teams and understanding team processes leading to the development of efficient interaction strategies result in better team learning and performance [6]. Furthermore, collaborative decision-making was equated with SMM and was seen as a source of impairment to productivity, which results in social loafing, cognitive overload, or pressure to conform [84]. Additionally, understanding the framework of the SMM development helps in identifying team process factors to remedy non-functional teams.
Developing SMMs in teams is important in supporting team performance. Intervention has been developed and validated that specifically improves SMMs [63, 85]. The degree of knowledge shardness agreement among team memebers is measured by simple instrument and used as an indicator of potential team success [85]. The instrument measures similarity of team members’ SMMs of the following factors: task and team knowledge, general communication skills, attitude toward team and task, team dynamic and interactions, and team resources and working environment. Johnson et al. [86] discussed interventions used to improve SMMs through consensus building and improving planning interventions. Three key activities to build a SMM have been found to have an impact on team performance. The mechanism for building a SMM involves the following: (1) assessing the individual mental model, (2) sharing individual mental models and reaching agreement on sharedness through consensus building, and (3) providing individual justification and then identifying areas of weak sharedness and proposing ways to build sharedness. The following describes each step:
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Step 1:
Each individual team member completes an assessment instrument that measures how much they believe their team has knowledge and skills relate to the team task at hand. This individual assessment must be done prior to moving on to the second task. The assessment covers the following eight items rating each item from Strongly Agree to Strongly Disagree.
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Team understanding of tasks
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Team process for working on tasks
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Team member communication of information
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Team member attitude toward each other
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Team attitude toward tasks
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Team member interaction in general
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Team use of resources (e.g., notebooks, computers, etc.)
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Team realization of working environment constraints (e.g., time, resources, etc.)
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Step 2:
Once step 1 is completed by each team member individually, the team reviews together each of the individual team member responses and determines the best response for the team as a whole. Where there are disagreements, the team is expected to reach consensus. In the process, the team members explain and provide a rationale for their perspectives on each item.
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Step 3:
The team reviews their collective responses and identifies the weakest areas and then proposes ideas to improve these areas. Again the team works to reach consensus by discussing each team member’s individual opinion and rationale.
Development of Effective Team Interaction Strategies
Educators using small-group learning strategies must learn how to facilitate and improve team interaction. This is not a short, quick process as it can take weeks for a group to develop into a mature, functioning team [87]. As a team develops, if it struggles with communication, the SMM development is hindered. The educator must then provide extra instruction to improve the interaction between team members. Some of the tools educators may use include feedback on setting up roles and responsibilities, communicating individual and team expectations, discussing the amount and type of individual and team communication, overcoming personality differences, and dealing with difficult problems. Improving these interaction processes will allow teams to develop effectively through the team development phases of forming, storming, norming, and finally performing [88]. As the team passes through each one of these phases, the instructor is providing feedback to the team on its performance. A study by Johnson et al. [89] demonstrates the importance of instructor feedback on how well the group used cooperative skills. The effective evaluation of the group process is required for successful cooperative learning [90]. As instructors learn to give this feedback constructively, the team learns to engage in interaction strategies that result in a SMM that improves team cognition [91].
There is evidence that communication and coordination of team interactions mediate team SMM development that then affects team performance [92]. As part of this research [92], an interaction strategy was developed that focused on team communication and coordination. The interaction strategy is comprised of the three following steps:
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Step 1:
Teams are provided with information and a rationale for developing an interaction strategy. It is important that the team members understand why having a team interaction strategy is key to team performance. An interaction strategy encompasses objectives, goals, and tools for all communications that include written, spoken, and electronic interactions with the team members. The following points are the main purpose of the strategy:
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Helps the team to more effectively interact and communicate with each other
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Reminds and encourages all of the team members to stay on schedule
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Provides a means for feedback and input about the product from the team members, thereby enhancing the quality of the product
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Step 2:
Teams are provided with guidelines (tasks) for creating an interaction plan. Instructions are provided to the team on what tasks are involved in the creation of an interaction plan (Table 1).
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Step 3:
In this step, the teams practice creating a communication strategy/plan. As a team, they discuss and write down their interaction plan. They are also instructed to reach consensus on all aspects of a communication plan.
Development of Assessment Strategies of Team Process
Biggs and Tang [93] emphasize the focus on outcome-based learning by systematically aligning the teaching and learning activities as well as the assessment tasks with the intended learning outcomes. It is important to assess team behaviors in order to learn how to best facilitate team interaction. Due to the complexity of team interactions, different instruments have been developed to measure team behaviors [29, 72, 77, 86, 94–103]. The types of assessments, instruments used, and a brief description of each are provided in Table 2. These measures include observation, interview, questionnaire, concept mapping with secondary analysis, and the use of a team knowledge survey with follow-up analysis. These assessment instruments can be used to elicit individual knowledge and perceptions about task and team processes. The collected data can be used to provide medical educators with information related to team process as well as data needed to perform a provisional diagnosis of team behaviors. These activities allow educators to provide both corrective and reinforcing feedback to the learning teams. However, simpler measures can be developed and used as indicators of SMM development [63]. While it is time consuming for medical educators to collect and process data, Johnson et al. [86] developed a Team Assessment and Diagnostic Instrument (TADI) that can be used to easily capture, at specific points in time, the mental models of teammates. Using a simple calculation, they can determine the level of shared understanding for a particular group. While this is an indirect measure, there are two recent studies on SMMs that provide evidence for the reliability of this assessment measure. The first study [104] investigates how SMMs change over time in teams of students in a manufacturing engineering course. In this study, a complex, ill-structured project was given to each team. SMMs were measured and then analyzed to see if the SMM changed over time. The results indicated that SMMs do change over time and that similar SMMs are related to higher levels of team performance. In a second similar study, Johnson and Lee [105] examined the effects of SMMs on team and individual performance. The results indicated that each team’s SMM changed significantly over time when subjects participated in team-based learning activities. The results also showed that the SMMs’ sub-categories (team-related knowledge, skill, attitude, dynamicity, and environment) are strongly correlated on the team and individual performance.
Since team processes are closely linked to team performance and SMM measures are an indication of team performance, the use of a SMM assessment can provide an indirect measure for the quality of team process interactions. To assess the useful effects of team processes, medical educators can use a SMM measure to determine generally if the team interaction is productive in facilitating team processes to reach the targeted team learning outcomes.
Conclusion
To enhance the overall student’s performance in a collaborative learning environment, it is necessary to promote team cognition during the learning process. The true test of team cognition is reflected when the team acquires and internalizes the knowledge and skills stated in the learning outcomes. Based on the available body of literature, SMMs are relevant to improving team performance. A better understanding of the group processes framework underlying the acquisition of team-related and task-related skills leads to the selection of effective strategies for the development of SMMs. Simple assessment instruments can be validated to measure the optimal time for a group to stay together based on monitoring the development of SMMs. In many cases, a student’s performance could be improved by correcting group process deficiencies.
The SMM development is typically made known through examining external knowledge [106]; however, more research is needed to examine how group interaction impact individual cognitive processes which activate and develop the shared mental model. There is a strong need to expand on research protocols that measure team processes to understand the underlying mechanism of interactions in learning teams and to select appropriate team interventions for effective and efficient mechanisms to assess and diagnose team interactions. As medical students learn and embrace group strategies that produce effective teams and higher cognition, they benefit not only during their academic career but also in their interdisciplinary teamwork as a physician working with nurses and different allied health professionals.
References
Ortega A, Sánchez-Manzanares M, Gil F, Rico R. Enhancing team learning in nursing teams through beliefs about interpersonal context. J Adv Nurs. 2013;69(1):102–11.
Renshaw I, Davids K, Savelsbergh GJ. Motor learning in practice: a constraints-led approach. New York, NY: Routledge; 2010.
Argote L, Gruenfeld D, Naquin C. Group learning in organizations. In: Turner ME, editor. Groups at work: theory and research. Mahwah, NJ: Lawrence Erlbaum Associates; 2001. p. 369–411.
Lau K, Chan DW. Reading strategy use and motivation among chinese good and poor readers in Hong Kong. J Res Read. 2003;26(2):177–90.
Van Der Vegt GS, Bunderson JS. Learning and performance in multidisciplinary teams: the importance of collective team identification. Acad Manag J. 2005;48(3):532–47.
Currey J, Eustace P, Oldland E, Glanville D, Story I. Developing professional attributes in critical care nurses using team-based learning. Nurse Educ Pract. 2015;15(3):232–8.
LCME Standards, Publications, and White Papers. Functions and structure of a medical school standards for accreditation of medical education programs leading to the M.D. degree. http://www.lcme.org/publications.htm. Updated 2015.
Commission On Osteopathic College Accreditation. COM accreditation standards and procedures. http://www.osteopathic.org/inside-aoa/accreditation/COM-accreditation/Documents/com-accreditation-standards-8-29-2016.pdf. Updated August 29, 2016. Accessed 09/30, 2016.
Reeves S, Perrier L, Goldman J, Freeth D, Zwarenstein M. Interprofessional education: effects on professional practice and healthcare outcomes (update). Cochrane Database Syst Rev. 2013; 3(3). doi:10.1002/14651858.CD002213.pub3.
AAMC. Core entrustable professional activities for entering residency. https://members.aamc.org/eweb/DynamicPage.aspx?Action=Add&ObjectKeyFrom=1A83491A-9853-4C87-86A4-F7D95601C2E2&WebCode=ProdDetailAdd&DoNotSave=yes&ParentObject=CentralizedOrderEntry&ParentDataObject=Invoice%20Detail&ivd_formkey=69202792-63d7-4ba2-bf4e-a0da41270555&ivd_prc_prd_key=E3229B10-BFE7-4B35-89E7-512BBB01AE3B. Updated May 28 2014. Accessed September 30, 2016.
Hickman SE, Wocial LD. Team-based learning and ethics education in nursing. J Nurs Educ. 2013;52(12):696–700.
Albanese MA, Mitchell S. Problem-based learning: a review of literature on its outcomes and implementation issues. Acad Med. 1993;68(1):52–81.
Alexander BJ, Lindow LE, Schock MD. Measuring the impact of cooperative learning exercises on student perceptions of peer-to-peer learning: a case study. J Physician Assist Educ. 2008;19(3):18–25.
Haidet P, O'Malley KJ, Richards B. An initial experience with “team learning” in medical education. Acad Med. 2002;77(1):40–4.
Searle NS, Haidet P, Kelly PA, Schneider VF, Seidel CL, Richards BF. Team learning in medical education: initial experiences at ten institutions. Acad Med. 2003;78(10):S55–8.
Vasan NS, DeFouw DO, Holland BK. Modified use of team-based learning for effective delivery of medical gross anatomy and embryology. Anat Sci Educ. 2008;1(1):3–9.
Hendelman WJ, Boss M. Reciprocal peer teaching by medical students in the gross anatomy laboratory. Acad Med. 1986;61(8):674–80.
Krych AJ, March CN, Bryan RE, Peake BJ, Pawlina W, Carmichael SW. Reciprocal peer teaching: students teaching students in the gross anatomy laboratory. Clin Anat. 2005;18(4):296–301.
Nnodim J. A controlled trial of peer-teaching in practical gross anatomy. Clin Anat. 1997;10(2):112–7.
Sandra A, Ferguson KJ. Analysis of gross anatomy laboratory performance using a student dissection/presentation teaching method. Teach Learn Med. 1998;10(3):158–61.
Sultan S, Hussain I. Comparison between individual and collaborative learning: determining a strategy for promoting social skills and self-esteem among undergraduate students. J Educ Res. 2012;15(2):35.
Mennenga HA, Smyer T. A model for easily incorporating team-based learning into nursing education. Int J Nurs Educ Scholarsh. 2010;7(1) doi:10.2202/1548-923X.1924.
Elbaum B, Vaughn S, Hughes M, Moody SW. Grouping practices and reading outcomes for students with disabilities. Except Child. 1999;65(3):399.
Levine RE, O'Boyle M, Haidet P, et al. Transforming a clinical clerkship with team learning. Teach Learn Med. 2004;16(3):270–5.
Razzouk R, Johnson TE. Case studies’ effect on undergraduates’ achievement, attitudes, and team shared mental models in educational psychology. Educ Technol Res Dev. 2013;61(5):751–66.
Michaelsen LK, Knight AB, Fink LD. Team-based learning: a transformative use of small groups in college teaching. Sterling, VA: Stylus Publishing, LLC; 2004.
Druckman D, Bjork RA. Learning, remembering, believing: enhancing human performance. Washignton, DC: National Academies Press; 1994.
Dunaway GA. Developments: adaption of team learning to an introductory graduate pharmacology course. Teach Learn Med. 2005;17(1):56–62.
Cooke NJ, Salas E, Cannon-Bowers JA, Stout RJ. Measuring team knowledge. Hum Factors. 2000;42(1):151–73.
Rentsch JR, Hall RJ. Members of great teams think alike: a model of team effectiveness and schema similarity among team members. In: M. M. Beyerlein D. A. Johnson, ed. US: Elsevier Science/JAI Press; 1994, pp. 223–261.
Cannon-Bowers JA, Salas EE. Making decisions under stress: implications for individual and team training. Washington, DC: American Psychological Association; 1998.
Guzzo RA, Salas E. Team effectiveness and decision making in organizations. Vol 22. Pfeiffer; 1995.
Levine JM, Moreland RL. Progress in small group research. Annu Rev Psychol. 1990;41(1):585–634.
Hackman JR. Groups that work (and those that donʼt): creating conditions for effective teamwork. San Francisco: Jossey-Bass; 1990.
Johnson TE, Khalil MK, Spector JM. The role of acquired shared mental models in improving the process of team-based learning. Educ Technol. 2008;48(4):18–26.
Bruner JS. The culture of education. Cambridge, MA: Harvard University Press; 1996.
Bruner JS. Acts of meaning. Vol 3. Harvard University Press; 1990.
Vygotskij LS. Thought and language. Cambridge: MIT Press; 1986.
Vygotsky LS. Mind in society: the development of higher psychological processes. Cambridge, MA: Harvard University Press; 1980.
Piaget J. The child’s conception of the world. London. New York: Routledge; 1997.
Johnson RT, Johnson DW. Cooperative learning in the science classroom. Sci Child. 1986;24:31–2.
Alvermann DE, Hinchman KA, Moore DW, Phelps SF, Waff DR. Reconceptualizing the literacies in adolescents’ lives. Routledge; 2007
Vacca R, Vacca J, Mraz M. Learning area reading: literacy and learning across the curriculum. Boston: Allyn & Bacon; 2011.
Koles PG, Stolfi A, Borges NJ, Nelson S, Parmelee DX. The impact of team-based learning on medical studentsʼ academic performance. Acad Med. 2010;85(11):1739–45.
Su F, Beaumont C. Evaluating the use of a wiki for collaborative learning. Innovations in Education and Teaching International. 2010;47(4):417–31.
Ofstad W, Brunner LJ. Team-based learning in pharmacy education. Am J Pharm Educ. 2013;77(4). doi:10.5688/ajpe77470
Lave JW, Wenger E. Situated learning. Legitimate peripheral participation. Cambridge: Cambridge University Press; 1991.
Tennant M. Psychology and adult learning. London: Routledge; 1997.
Wenger E, McDermott RA, Snyder W. Cultivating communities of practice: A guide to managing knowledge. Harvard Business Press; 2010.
Wenger E. Communities of practice: learning as a social system. Systems thinker. 1991;9(5):2–3.
Johnson DW, Johnson RT, Smith KA. Active learning: Cooperation in the college classroom. ERIC; 1998.
Deutsch M. A theory of cooperation and competition. Human Relations. 1949;2:129–52.
Deutsch M. Cooperation and trust: some theoretical notes. In: Jones MR, editor. Nebraska symposium on motivation. Lincoln, NE: Univer. Nebraska Press; 1962. p. 275–319.
Johnson DW. The social psychology of education. 1970.
Johnson DW, Johnson RT. An educational psychology success story: social interdependence theory and cooperative learning. Educ Res. 2009;38(5):365–79.
Mpofu DJS, Das M, Stewart T, Dunn E, Schmidt H. Perceptions of group dynamics in problem-based learning sessions: a time to reflect on group issues. Med Teach. 1998;20(5):421–7.
Cannon-Bowers J, Salas E, Converse S. Shared mental models in expert team decision making. In: N. John Castellan J, ed. Individual and group decision making: current issues. Hillsdale, NJ: Erlbaum Associates; 1993, pp. 221–245.
Klimoski R, Mohammed S. Team mental model: construct or metaphor? J Manag. 1994;20(2):403–37.
Cannon-Bowers JA, Tannenbaum SI, Salas E, Volpe CE. Defining competencies and establishing team training requirements. Team effectiveness and decision making in organizations. 1995;333:380.
Kirschner F, Paas F, Kirschner PA. Individual versus group learning as a function of task complexity: an exploration into the measurement of group cognitive load. In: Zumbach J, Schwartz N, Seufert T, & Kester L, editors. Beyond knowledge: the legacy of competence. Dordrecht: Springer; 2008. pp. 21–28.
Kirschner F, Paas F, Kirschner PA. Individual and group-based learning from complex cognitive tasks: effects on retention and transfer efficiency. Comput Hum Behav. 2009;25(2):306–14.
Cannon-Bowers J, Salas E. Reflections on shared cognition. J Organ Behav. 2001;22(2):195–202.
Johnson TE, Lee Y, Lee M, O'Connor DL, Khalil MK, Huang X. Measuring sharedness of team-related knowledge: design and validation of a shared mental model instrument. Hum Resour Dev Int. 2007;10(4):437–54.
Rouse WB, Cannon-Bowers JA, Salas E. The role of mental models in team performance in complex systems. Systems, Man and Cybernetics, IEEE Transactions on. 1992;22(6):1296–308.
DeChurch LA, Mesmer-Magnus JR. Measuring shared team mental models: a meta-analysis. Group Dynamics: Theory, Research, and Practice. 2010; 14(1):1.
Kleinman DL, Serfaty D. Team performance assessment in distributed decision making. Proceedings of the symposium on interactive networked simulation for training. Orlando, FL: University of Central Florida; 1989. p. 22–7.
Rouse WB, Cannon-Bowers J, Salas E. The role of mental models in team performance in complex systems. Systems, Man and Cybernetics, IEEE Transactions on. 1992;22(6):1296–308.
Smith-Jentsch K, Johnston JH, Payne SC. Measuring team-related expertise in complex environments. In: Cannon-Bowers JA, Salas E, editors. Making decisions under stress: implications for individual and team training. Washington, DC, US: American Psychological Association; 1998. p. 61–87.
Mathieu JE, Heffner TS, Goodwin GF, Salas E, Cannon-Bowers JA. The influence of shared mental models on team process and performance. J Appl Psychol. 2000;85(2):273.
Salas E, Diaz Granados D, Weaver SJ, King H. Does team training work? Principles for health care. Acad Emerg Med. 2008;15(11):1002–9.
Albon R, Jewels T. Mutual performance monitoring: elaborating the development of a team learning theory. Group Decis Negotiation. 2014;23(1):149–64.
Dickinson TL, McIntyre RM. A conceptual framework for teamwork measurement. Team performance assessment and measurement. 1997:19–43.
Eccles DW, Tenenbaum G. Why an expert team is more than a team of experts: a social-cognitive conceptualization of team coordination and communication in sport. J Sport Exercise Psychol. 2004;26(4):542–60.
Fiore SM, Salas E, Cuevas HM, Bowers CA. Distributed coordination space: toward a theory of distributed team process and performance. Theoretical Issues in Ergonomics Science. 2003;4(3–4):340–64.
Mohammed S, Dumville BC. Team mental models in a team knowledge framework: expanding theory and measurement across disciplinary boundaries. J Organ Behav. 2001;22(2):89–106.
Kaufman D, Sutow E, Dunn K. Three approaches to cooperative learning in higher education. Can J High Educ. 1997;27(2/3):37–66.
Smith-Jentsch KA, Campbell GE, Milanovich DM, Reynolds AM. Measuring teamwork mental models to support training needs assessment, development, and evaluation: two empirical studies. J Organ Behav. 2001;22(2):179–94.
Marks MA, Mathieu JE, Zaccaro SJ. A temporally based framework and taxonomy of team processes. Acad Manag Rev. 2001;26(3):356–76.
Nonose K, Kanno T, Furuta K. Effects of metacognition in cooperation on team behaviors. Cogn Tech Work. 2014;16(3):349–58.
Tipping J, Freeman RF, Rachlis AR. Using faculty and student perceptions of group dynamics to develop recommendations for PBL training. Acad Med. 1995;70(11):1050–2.
De Grave WS, Dolmans DH, Der Vleuten V, Cees PM. Student perspectives on critical incidents in the tutorial group. Adv Health Sci Educ. 2002;7(3):201–9.
Elgort I, Smith AG, Toland J. Is wiki an effective platform for group course work? Australasian Journal of Educational Technology. 2008; 24(2).
Van Berkel HJM, Dolmans DHJM. The influence of tutoring competencies on problems, group functioning and student achievement in problem-based learning. Med Educ. 2006;40(8):730–6.
Kaba A, Wishart I, Fraser K, Coderre S, McLaughlin K. Are we at risk of groupthink in our approach to teamwork interventions in health care? Med Educ. 2016;50(4):400–8.
Sikorski EG. Team knowledge sharing intervention effects on team shared mental models and team performance in an undergraduate meteorology course. Florida State University; 2009.
Johnson TE, Sikorski EG, Mendenhall A, Khalil M, Lee Y. "Selection of team interventions based on mental model sharedness levels measured by the team assessment and diagnostic instrument (TADI)". In: Computer-based diagnostics and systematic analysis of knowledge. Springer; 2010, pp. 335–354.
Michaelsen LK, Parmelee DX, McMahon KK. Team-based learning for health professions education: a guide to using small groups for improving learning. Stylus Publishing, LLC.; 2008.
Egolf D, Chester S. Forming storming norming performing: successful communication in groups and teams. IUniverse; 2013.
Johnson DW, Johnson RT, Stanne MB, Garibaldi A. Impact of group processing on achievement in cooperative groups. J Soc Psychol. 1990;130(4):507–16.
Johnson DW, Johnson RT, Holubec EJ. Cooperation in the classroom. 8th ed. Edina, MN: Interaction Book Co; 2008.
Bogard T, Liu M, Chiang YV. Thresholds of knowledge development in complex problem solving: a multiple-case study of advanced learners’ cognitive processes. Educ Technol Res Dev. 2013;61(3):465–503.
Putri P, Dewi A. The effect of communication strategy and planning intervention on the processes and performance of course material development teams. Florida State University; 2012.
Biggs JB. Teaching for quality learning at university: what the student does. 3rd ed. McGraw-Hill Education: UK; 2009.
Quarstein VA, Peterson PA. Assessment of cooperative learning: a goal-criterion approach. Innov High Educ. 2001;26(1):59–77.
Thompson BM, Levine RE, Kennedy F, et al. Evaluating the quality of learning-team processes in medical education: development and validation of a new measure. Acad Med. 2009;84(10 Suppl):S124–7.
Willis SC, Jones A, Bundy C, Burdett K, Whitehouse CR, O'Neill PA. Small-group work and assessment in a PBL curriculum: a qualitative and quantitative evaluation of student perceptions of the process of working in small groups and its assessment. Med Teach. 2002;24(5):495–501.
Aguado D, Rico R, Sánchez-Manzanares M, Salas E. Teamwork competency test (TWCT): a step forward on measuring teamwork competencies. Group Dynamics: Theory, Research, and Practice. 2014;18(2):101.
Brock D, Abu-Rish E, Chiu CR, et al. Interprofessional education in team communication: working together to improve patient safety. BMJ Qual Saf. 2013;22(5):414–23.
Stevens MJ, Campion MA. Staffing work teams: development and validation of a selection test for teamwork settings. J Manag. 1999;25(2):207–28.
Sonesh SC, Gregory ME, Hughes AM, et al. Team training in obstetrics: a multi-level evaluation. Families, Systems, & Health. 2015;33(3):250.
Funke GJ, Knott BA, Salas E, Pavlas D, Strang AJ. Conceptualization and measurement of team workload: a critical need. Hum Factors. 2012;54(1):36–51.
Sigalet E, Donnon T, Cheng A, et al. Development of a team performance scale to assess undergraduate health professionals. Acad Med. 2013;88(7):989–96.
O'Malley KJ, Moran BJ, Haidet P, et al. Validation of an observation instrument for measuring student engagement in health professions settings. Eval Health Prof. 2003;26(1):86–103.
Johnson TE, Lee Y. The relationship between shared mental models and task performance in an online team-based learning environment. Perform Improv Q. 2008;21(3):97–112.
Lee M, Johnson TE. Understanding the effects of team cognition associated with complex engineering tasks: dynamics of shared mental models, task-SMM, and team-SMM. Perform Improv Q. 2008;21(3):73–95.
Spector L. "Towards practical autoconstructive evolution: self-evolution of problem-solving genetic programming systems". In: Genetic programming theory and practice VIII. Springer; 2011, pp. 17–33.
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Khalil, M.K., Elkhider, I.A., Ingiaimo, M. et al. Utilization of Team Process Framework to Improve Small-Group Learning in Medical Education. Med.Sci.Educ. 27, 123–134 (2017). https://doi.org/10.1007/s40670-016-0359-z
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DOI: https://doi.org/10.1007/s40670-016-0359-z