=Paper= {{Paper |id=Vol-2486/icaiw_edusynergies_2 |storemode=property |title=How Innovation Emerges in Collectivities in Online Collaborative Learning |pdfUrl=https://ceur-ws.org/Vol-2486/icaiw_edusynergies_2.pdf |volume=Vol-2486 |authors=Simone Belli }} ==How Innovation Emerges in Collectivities in Online Collaborative Learning== https://ceur-ws.org/Vol-2486/icaiw_edusynergies_2.pdf
    How Innovation Emerges in Collectivities in
          Online Collaborative Learning

                                   Simone Belli

               Complutense University of Madrid, Madrid 28040, Spain
                                  sbelli@ucm.es



       Abstract. The purpose of this paper is to identify how participants are
       sharing innovation and creativity processes in online collaborative learn-
       ing. We analyze the participation framework in a corpus composed of
       30 hours of online meetings between undergraduate students, their pro-
       fessors, and international experts. We present a multimodal interaction
       of verbal and body language in collaborative activity for the analysis
       of moment-by-moment events in social interaction. Also using conver-
       sation analysis, we focus on how participants interact with both verbal
       and nonverbal expression. The analysis offered has drawn on a method-
       ology to study and identify innovation promoted in online collaborative
       learning. The interaction between participants is easily observable with
       multimodal interaction analysis focusing on social interaction processes.
       We have tried to draw a map of the links between participants in a group
       interactional process that follows similar patterns and structures. How-
       ever, in many cases, this order is purposely interrupted by chaos and
       emergencies to stimulate creativity. We can observe how this disorder is
       intentionally a part of the structure of this kind of meeting.

       Keywords: Innovation · online collaborative learning · conversation
       analysis · multimodal interaction.


1    Introduction

In this paper, we analyze the participation framework in a corpus composed
of 30 hours of online meetings between 32 undergraduate students of an An-
dean university, their professors from the host university and two international
experts in innovation based in a UK university. In these online collaborative
learning meetings [1–3], students present their projects focused on Innovation
and Entrepreneurship. The internet-based IT platform used was ZOOM. The
meetings were recorded on the same IT platform, which allows for the inclusion
of the participants’ comments during the session.
    We are able to recognize the occurrence of innovative processes in online
collaborative learning through the positive emotions and attitudes expressed by
the participants and find that positive reinforcement, cooperation, and empow-
erment, promote innovation and creativity. Martins and Terblanche [4]note that
Copyright © 2019 for this paper by its authors. Use permitted under Creative Commons License
Attribution 4.0 International (CC BY 4.0)
2019 ICAI Workshops, pp. 139–155, 2019.
140     S. Belli

creativity is the activity of generating ideas and that innovation implements cre-
ative ideas [5, 6]. Many authors have worked in this direction [7, 8], arguing that
innovation is the implementation of creativity. It can, therefore, be said that
creativity is part of the innovation process.
    To identify creativity and innovation in online collaborative learning, we
adopt a multidisciplinary, multisectoral, cooperative perspective in the imple-
mentation of students’ ideas. In their projects, they attempted to apply their
creative ideas in a specific context (the Andean region) to create better condi-
tions of well-being in society.
    We present a multimodal interaction “ [9–12] of verbal and non-verbal com-
munication in online collaborative activities for the analysis of moment-by-
moment social interaction. Also using conversation analysis [13–15], we focus
on the ways in which participants interact with their words and their non-
lexical expression (gaze, gestures, prosody). Thanks to this methodology, we
describe the moment-by-moment interactional work performed in collaborative
activity [16, 17]. In its most straightforward prospect, the sequence of steps that
interests us is: (a) that ideas and projects are shared among participants, (b)
that participants try to improve the ideas and the projects, and finally (c) that
they find an innovative solution to manage the project. This is our “step-by-
step movement into advice-giving" follows a similar course of action described
by Heritage and Sefi [18].
    The students use English, their second language, to communicate with the
professors and experts in the meeting, but when they experiment with problems,
they switch to their first language, Spanish, to manage the project between them-
selves. Data were transcribed according to a system for capturing the auditory
details of conversation designed by Gail Jefferson [19] and a system for recording
gestures devised by Goodwin [17], wherein not everything visible in the video
must be transcribed, only what is analytically relevant.


2     Distributed Innovation

We start our multimodal interaction analysis by presenting an extract where im-
provised narratives (or bits, [20]) of collaborative interactions emerge from the
efforts of the group to work together. Sawyer calls it the emergence in conversa-
tion to refer to groups that are relatively unrestricted and, therefore, unexpected
ideas could arise. In contrast, are groups engaged in creative activities that are
relatively constrained, such as symphony orchestras, where predictable results
of their collaboration are expected [20].
    Extract 11:1
    1. Jair (Student): ((J. moves his hands during his intervention, while
    2. the other two students observe their hands. Fig. 1-2)) We want to
    3. break the barriers that we have (0.4) because the economical
    4. situation, you know that people are not (0.2) here (0.2) like in
    5. previous situations of, of ↑economical resources
    6. Expert: Ya
  How Innovation Emerges in Collectivities in Online Collaborative Learning   141

    7. J: tend not to trust in the future. We want to give them an
    8. opportunity (0.2) to trust. How can we give them this problem that we
    9. have created to succeed in the future. Basically we have given the
    10. main idea of the project, to give education to sectors mh
    11. neighbors to important university in Ecuador, but is...
    12. E: Mmh It is almost, as you say, not so much but is education.
    13. But how you describe mmhh tools for learning, tools or
    14. techniques that allow: children to have better learning
    15. skills to take better advantages in education
    16. J: Yes
    17. E: The... in elementary level, ((students observed fixed the
    18. screen. Fig.3)) so for me I understand, how... what age ((J.
    19. touches his face. Fig.4)) kids have for?
    20. J: From six to twelve years old
    21. E: It’s twelve old, ya, ya. Ok, excellent.
    The first thing to do is identify patterns of the collaborative emerges of
improvised narratives [20] of our multimodal interaction analysis. We need to
observe the conversation constructed turn-by-turn. We have 8 turns in 21 Lines
between two participants. From Line 1 to Line 11, the student explains the
educational aspect in an economic context, presenting the importance of the first
one in the current context of a crisis. The expert interrupts the student (Line
12) for asking in which ways the project will improve education in the country
because everybody knows that education is important for the future. He tries to
redirect the meeting towards the project and not towards the economic context,
asking for tools and techniques (Line 13 and 14) for promoting better learning
skills. It is a state of emergency, where the conversation is abruptly interrupted
and freezes the students.. In Figures 1 and 2 we observe how students are relaxed
in front of the screen, but in Fig. 3 they have changed their body positions,




                  Fig. 1.                                  Fig. 2.




                  Fig. 3.                                  Fig. 4.
142     S. Belli

and the three students observe the screen intensely while the expert irrupts
in the conversation. In Fig.2. the two female students look at Jair’s the hand
movement and then look to the expert, identifying what he was saying during
his intervention. At Line 20, they quickly answer the question with relevant
information, collaborating with the expert. The expert in Line 21 assumes that
his interruption was disruptive and assures them that everything is fine after the
emergence of the collaboration saying, “Ok, excellent”.
    One of the characteristics of the emerging collaboration is the moment-to-
moment contingency in which the action of each person depends on the previous
one, as in Lines 19, 20, and 21. The interactional effect of these actions alter
the subsequent actions of other participants, and each participant contributes
equally to have a collaborative process. A wide range of actions is possible at each
moment of the conversation; the emergence of the narrative cannot be reduced
to the speakers’ intentions in individual turns because a speaker cannot know
the meaning of his turn until the other actor has responded [20]. Speakers tend
to show increased formality and explicitness in managing turn switching [21]. In
Lines 11 and 12, when the student presents the economic context of his country,
the expert interrupts to introduce another aspect of the project to arrive at the
end of the extract with useful information. The collaboratively emergent nature
of the group enables something novel and creative to occur [20]. This aspect
is the basis for the study of distributed innovation in groups because groups
that diverge from routine engage in something new. As in the classic example
of Hutchin [22], wherein emergencies occur with navigation teams, the team is
capable of collaboratively creating an innovative response. We can observe this
only with multimodal interaction analysis because it becomes manifest through
multiple interactions among participants.
    But why is it important to observe innovation in social interaction processes?
In the next extract, we observe how innovation emerges in collectivities and is
constructed more on a social scale than individually (2:19, 2:24).
    Extract 2:19
    1. E: It has many problems, the amount of money for customers have to
    2. spend in medical treatments is enough mmhh to spending, spending
    3. enough the average to spend on medical, medical treatments:
    4. Ana: ((Students maintain the silence for 18 seconds)) Profe nos ayuda
    5. Teacher helps us
    6. ((referring to professor 1))
    7. E: Los clientes para las medicinas y tal, eh (0.2) tiene la plata, el
    8. Customers for medicines and such, eh (0.2) have the money,
    9. dinero bastante para comprar los productos que:: ustedes están
    10. enough money to buy the products that:: you are
    11. pensando de vender a ellos, hay un mercado de valor para
    12. thinking of selling to them, there is a market of value to
    13. comprar los, los productos.
    14. buy the, the products.
    15. Richard: Of course, because we will arrive to far places and
  How Innovation Emerges in Collectivities in Online Collaborative Learning    143

    16. final customers. But all customers, owners of the stores,
    17. owners of big system of stores. For this reason, I think there
    18. is. It is not expensive for them because benefits are so big
    19. for example, expand the market. For this reason, ((Students
    20. speak between them, Professor 1 smiles)) Ok, for the reason
    21. they pay for the service.
    22. E: I saw the video, and I am very interested in speaking to
    23. you, ((Students and professors lend high attention to the
    24. Expert’s words sharing a quick look between them, Fig.5.))
    25. this is a very exciting opportunity, mmhh:: you know, my
    26. organization, SETsquared , we work with a lot
    27. of start-up technology companies, and the help-care area is,
    28. particularly, in an exciting moment, is attracting a lot of
    29. opportunities. There are, there are a little development, looks
    30. at taking the expertise mmhh:: taking the expertise which is in
    31. the centre and in final ways, distributes to the periphery,
    32. maybe to core consumers or maybe to location far away, and the
    33. the development for digital technology and Internet is making
    34. this, mmhh: very very ((inaudible)) right now. Mmh: I think
    35. there is something you need consider it in your plan, we see a
    36. large number of innovations are really involved taking central
    37. expertise, mmh: so traditions, doctors, centre providing advise
    38. across to Internet, distributing mmhh: medical treatments
    39. providing via Internet create a more efficient delivery of
    40. health-care to people and consumers are, are:: excited or
    41. eclectic by the current system. So I think you have got, a very
    42. strong, a very strong market opportunity with your idea to
    43. distributing the expertise from the pharmacy into the outside
    44. areas. What I worry about it is considering building your
    45. infrastructure with the ATM, the machines, the computers. Mmh:
    46. one of the reasons is so the Internet infrastructure and the,
    47. the, the ownership of computer is becoming increase everywhere.
    In this long extract, we observe how students, professors, and expert interact,
firstly explained the problem in two different languages (English and Spanish) to




                       Fig. 5. High attention to the Expert
144     S. Belli

understand the point better (Lines 1-3, 7-14). At this moment, participants un-
derstand the interactional mechanism that occurs when innovation is distributed
throughout a group. The student in Line 15 tries to give an explanation offering
an innovative solution to the problem presented (15-21), looking the others to
find the best way to present it. Defining the interaction rules, the expert gives his
innovative view for the project, using technical terms (Line 27), specific strategies
(Line 31, 37-41, 43-45), and presenting previous experiences (26-28). Innovation
is not centered in an individual (the expert) but in the entire interaction dynamic
with all of the participants: online collaborative learning is a form of distributed
innovation between the actors.
    Also in this interaction it is possible to demonstrate the potential power
of interaction analysis as a tool to understand innovative groups. We identify
gazes between participants (23-24), long silences during reflection (Line 4), and
code-switching between the second language (English, L2) and mother tongue
(Spanish, L1). Of course, every group has a different interactional mechanism and
the expert knows this. For this reason, when starting a new meeting, students
are allowed to present a summary of the project and to get to know each other.
    How creativity and innovation are distributed across people, tools, and en-
vironments has been called distributed cognition [22, 23]. When cognition pro-
cesses are distributed, they became visible analyzing verbal and gestural in-
teraction [20]. Multimodal interaction analysis can help to describe these pro-
cesses. We observe whether the process is collaborative or not between partic-
ipants through social interaction processes. It is social because we identify a
non-individualistic dynamic, where each actor listens and participates in the
meeting. Also, this social interaction among participants is an open system be-
cause it allows changing the dynamic of the process without having rules defined
a priori. Every participant can interrupt or enter the conversation when s/he
prefers without difficulty.
    Another characteristic is that a social interaction community is the locus of
innovation, it is the context where innovation emerges, and we called this as the
community of innovation. This then is a collaborative network constructed from
collaborative emergencies, as we observed in Extract 11:1. In Extract 2:19, we
have a further diversity of actors and authorities, but the open-system commu-
nity is the same, and there is an interchange of ideas without following a common
pattern. The expert reformulates the students’ ideas, explaining the problems
and strategies for succeeding steps in their projects, they interrupted him, and
the professors observe the dynamic. We observe the same dynamic as the profes-
sors and use it in teaching our classes of Innovation and Entrepreneurship in the
common core of Science, Technology, Engineering, and Math (STEM) careers.
From these classes, the students work on the projects presented to the experts
in these online collaborative learning meetings. An author that helps us in these
classes is Charles Hampden-Turner [24], who presents ‘cubes’ models to help
understand why it is important to teach innovation to STEM students. One of
these cubes is based on emotional intelligence.
  How Innovation Emerges in Collectivities in Online Collaborative Learning     145

    In the cube called “Dilemma 1”, Hampden-Turner observes that the helix
represented from point 0 to the reconciliation zone is counter-clockwise. Stu-
dents follow this process when they elaborate a similar project to present to the
expert. Firstly, they need to invest themselves emotionally in a new venture that
represents their aspirations and passions so that they are emotionally embodied
with the project and can then represent an integrated idea to the expert at the
beginning of the online meeting. Of course it is not only the emotions and pas-
sions that insure a project will have success, and it is important to be able to put
the idea in an intellectual and logical order from this first emotional investment.
The students must organize the results of their experience to present the project
to the professors and experts intelligently so that the spiral moves back towards
the vertical axis as they make sense of their investment. Only then can they
reflect upon and reorganize their ideas: “Note that this happens over time and
that the arrow of time moves from the near bottom-left-hand corner of our cube
to the far top-right-hand corner, as the helix spirals around it.” [ [24], p.114].
    The expert represents the intellectual ordering and the students the emo-
tional investment. The social interaction between these parts has the purpose of
promoting emotional intelligence when the hand, the heart, and the brain work
together. In the previous extract we observed how in Line 22 to 47 the expert
starts a long monologue. He makes an effort to redirect the students’ project to
the actual context of the market to be applied in society with successful results.
This is a primary aspect of this type of online collaborative learning. Students
have great and brilliant ideas, but they need experience and knowledge to be able
to apply them. For this reason, professors of the undergraduate course collabo-
rate with experts to receive suggestions and feedback as to how to redirect the
student’s emotional investment to work towards intellectual organization. This
integration is the basis for successful projects in innovation and entrepreneurship.

   Extract 2:24
   1. Richard (student): We will help people, because
   2. E: Yeah
   3. R: ehm: because It
   4. E: For me, I think you are innovating, ((High level of attention from
   5. students and professors, both of them are touching their chins with
   6. hands, Fig. 6.)) you should see this, as a particular service, in




                           Fig. 6. High level of attention
146     S. Belli

    7. the first instance, because you will provide values for users very
    8. very quickly, and a big interest for the government...
    In Extract 2:24 the expert introduces the value of the proposal and the
project. Later, the expert helps to focus the project on the society and on finding
strategic partners. Students were attentive, as were the professors, fixing their
gazes on the screen, touching their chins, listening to the experts’ suggestions.
Head turning and eye gaze play an important role in speaker switching [25]
and that both these behaviors are reliant on directionality [21]. We can thus
identify this online collaborative learning group as a collaborating group, where
individuals collectively generated a shared innovative project.


3     Distributing knowledge in group
In this section, we introduce how distributed knowledge is collectively shared in
these learning contexts. In the next two Extracts (7:14, 7:16), an expert explains
the results of similar projects presented in the past, with both their successful
and unsuccessful consequences. In one case a successful project caused problems
of too much success in society. After this explanation, students begin to comment
on the projects in their L1, but the professor interrupts them, explaining what
the expert said and not what the students think she said:
    Extract 7:14
    1. Professor: What I understand Expert 1 and 2 from your comments it is
    2. that in both cases are cases of successes of entrepreneurship, that
    3. from your point of view, entrepreneurship, they have ((inaudible))
    4. that they have in their plan, they have created in the business
    5. model, right?
    6. E1: ((he touches his chin with his hand, Fig. 7.)) Exactly
    7. P: So I would like to see more, what do you make these
    8. examples, these business models that they are proposing as a
    9. success? And, and: then we can take account of this side effect,
    10. but first we need to have success.
    In Extract 7:14, expert is explaining how students need to think about the
consequences of their actions, thinking about whether their project will produce
benefits or not for society, and in which ways it might affect it. Students take
notes of the suggestions to reconsider their project. In Lines 4-8, the professor




                         Fig. 7. Expert 1 touches his chin
  How Innovation Emerges in Collectivities in Online Collaborative Learning   147

identifies the main problem with the students’ project, the business model. It
represents a positive spin for their projects.
    There are some patterns that experts introduce in every meeting. For exam-
ple, here we observe how experts present a few similar examples of the student’s
project, and students take notes about these previous experiences. This is the
way the experts share their knowledge with the students in these online collabo-
rative learning meetings, and the same pattern and similar Lines of dialogue are
repeated with the same order in other meetings.
    We have observed a similar structure in Sawyer and DeZutter’s work [20],
where ‘bits’ about the project being ‘interactive’ occurred at all meetings. The
‘bit’ is an interactional routine in online collaborative learning that contains
three basic elements: The students show their project; The experts present
previous similar projects with successful and unsuccessful consequences; The
students try to put a positive spin on this by calling the project “Interactive”.
    Extract 7:16
    1. E2: Maybe you will have a very successful company, that you will be
    2. involved, using the waste water, maybe a clean water product, is it
    3. right?
    4. Angel (student): Clean water? ((while Jordy is taking notes after
    5. that A. gave him a notebook, Fig. 8.))
    6. E2: Yeah, clean WATER, agua ((everybody smiles)) It is one Spanish
    7. word that I know
    8. E1: Two words, Agua and Cerveza ((everybody laughs, Fig. 9.))
    Smiles and laughs (Line 6-8) stimulate a cooperative environment for innova-
tion among participants. Using two words in the student’s first language related
to the project, water (agua), and another referring to the same liquid state,
beer (cerveza), using humor to bring emotions into play. Alves et al. [26] iden-
tify three dimensions of cooperation environments for distributed innovation:
diversity of actors and competencies (experts, professors, and students), coher-
ence respecting the integration of complementary activities (problem-solving,
previous projects, successful examples, etc.), and interactivity with strong co-
operation relationship. A cooperative environment stimulates positive emotions
and interactivity between participants as in Fig. 8. (students passing the note-
book), and Fig. 9. (when everybody laughs). It is a funny and informal moment,
but students continue to take notes while are laughing. Every actor is involved
in improving the project with the distributing innovation process.




       Fig. 8. Passing the notebook                Fig. 9. Everybody laughs
148     S. Belli




                   Fig. 10. Students discuss together in Spanish


    Like using an informal dynamic in a formal setting, such as encouraging
laughter in the meeting in Extract 7:16, bringing together people from different
entrepreneurial sectors (experts 1 and 2) and people from science and technology
institutions (professors and students) to work towards common goals (innovation
and entrepreneurship projects) stimulates a cooperation environment [26]. Mul-
tidisciplinary and multisectoral cooperative environments link diverse knowledge
sets and skills needed to create and bring to the market complex projects and
facilitate the exchange of knowledge rooted in individuals [27, 28]. An online
meeting served multiple but distinct functions in supporting complex teamwork.
    In Extract 9:5, students are discussing ideas in their L1, (Fig. 10.), while the
professor underlined the importance of asking questions:
    Extract 9:5
    1. P: To understand at this point questions are most important that
    2. answers
    3. E1: mmhh, mmhh
    4. E2: Yeah, yeah ((inaudible)) we try to identify competitors, right?
    5. Competitors or similar products like to be able to take information
    6. from, or learn from, mmhh one thing looking at this model,
    7. understanding how you are going to, generate resources for the, to
    8. learn from, and how do you want funding to build that platform and
    9. then, eh: what do you happen when employed, how are you going to make
    10. that.
    We have observed how in online collaborative learning one of the patterns
that the experts follow is to formulate new questions that students have not yet
answered. In this case, the focus is in recognizing who are the competitors for
their project. It is another important point to identify how students construct
innovation socially. In half an hour students need to try to answer these questions
or take notes for improving the project. Distributed innovation is composed of
several activities that come before structures development processes. One of
these activities is to build questions.
    Questioning stimulates idea generation, the creative part of the innovation
process [4]. Questions encourage creative processes and generate valuable ideas
for products, services, processes, and procedures [4]. The implementation of these
new ideas is innovation, which again, is the application of the results of creativity
[29–31]. Koen [31] defines this process as ‘fuzzy front end’, where participants
  How Innovation Emerges in Collectivities in Online Collaborative Learning       149

expose new ideas that are often chaotic, unpredictable, and unstructured and
come before a structured development process. Questions from the experts have
the function of prompting this creativity, and the greater the number of ideas at
the start of the new project development process, the greater is the probability
of successful products [32].
    From the aspect of this dynamic, selected ideas flow through the ‘funnel’ of
innovation, and students need to choose the more pertinent ideas to improve
their project. The questions that expert 2 formulates (Lines 9-10) are to open
doors for the project, to give space to the creativity between participants. The
fuzzy front end is important in these meetings to generate creative ideas. Many
students, after this session, changed the project radically, for the creative exercise
reformulated new ideas.
    Extract 4:6
    1. P: In Innovation Day you will surprise the audience giving a prototype
    2. E1: Yeah, that’s good ((inaudible)) yeah it is very good Jorge if you
    3. concern to the judges. If you give a surprise, with the build of a
    4. prototype. You make me feel guilty because I can not help you
    5. ((everybody smiles, Fig.11.)).
    One of the most interesting points in these online collaborative learning en-
vironments is hands-on work with the cognitive process in an innovative project.
Many student groups try to build a prototype, a physical tool to present their
ideas, and at the end of the semester professors of Innovation and Entrepreneur-
ship courses organize an event called ‘Innovation Day’. This event is to show the
student’s projects in front of a scientific and entrepreneurial court, where the
winner will travel to the United Kingdom to participate in an intensive work-
shop organized by experts at their Institution. In the first two of these events
(2015 and 2016), the winners from 76 projects had elaborated prototypes of
their project. In the 2016 event, the second position was also for a team that has
developed a prototype.
    Expert 1 (Line 2-4) agrees that presenting a prototype for the event would be
a grand strategy. In innovation processes, teams can work together to materialize
their ideas in a scientific laboratory or the Fab Lab (fabrication laboratory),
infrastructures that open to the students of Innovation and Entrepreneurship.




                             Fig. 11. Everybody smiles
150     S. Belli




                   Fig. 12.                                Fig. 13.




                   Fig. 14.                                Fig. 15.



The Fab Lab is a space equipped with digital tools that offer various materials
to make “almost anything”.
    Innovation is practiced in a space like Fab Lab, where students manipulate
objects, tools, and digital technology. Students that use these spaces are more
likely to be innovative and creative in their projects compared to those without
the resources and opportunities for this kind of collaboration. These are spaces
to share ideas in, to try out technologies and to put ideas into the real world.
Creativity and innovation are hard to measure, but thanks to these prototypes
and the success that prototypes have in events like Innovation Day, we can see
in ’real-time’ whether an innovative project can be applied or not in society.
    Multimodal interaction analysis helps us to understand why social interaction
with people and tools can identify how innovation is shared and developed among
participants (Fig. 13.) The prototype is the last step of these innovative projects,
the evolution of a creative idea into a physical entity, and the final products of
cognition are produced by the participants using digital (3-D model) and non-
digital (3-D printed) tools.
    Another tool to actualize the new ideas and their implementation is the busi-
ness plan that we mentioned earlier (Extract 7:14, Line 4-8). This tool evolves
the ideas produced in the fuzzy front end to demonstrate product specifica-
tion, financial analysis, and project management, and is a stricter development
  How Innovation Emerges in Collectivities in Online Collaborative Learning     151




           Fig. 16. Business plan                      Fig. 17. Stand up


methodology [32, 33] for applying innovation in society. In Fig. 16 and 17 we
observe how students present their business plan in the meeting, this is another
physical tool that allows attention to be focused in one direction. The genera-
tion of ideas many times is a chaotic and unstructured process that is necessary
when the meeting starts, but at the end of the meeting it is important to recollect
ideas and concretize some aspects of the project, and the meeting concludes with
the business plan or the prototype presentation. Multimodal interaction analy-
sis is applied here to help to understand how collaboration between participants
generates business innovation also.
    We will conclude with the same meeting that we started our analysis to
observe how social interaction is often an open system where creativity emerges
abruptly in an emergency.
    Extract 11:14
    1. E1: You are a very very very smart team ((while Jair moves his head
    2. forward and back, Fig.18.)), you know, I want a fight with you in
    3. this ((E1 simulates punching the webcam, while everybody smiles,
    4. Fig.19.)).
    Expert 1 provokes students by simulating a fight (Line 2, Fig. 19.) after moti-
vating them (Line 1, Fig. 18.). It is an excellent example of how social interaction
stimulates learning and a positive dynamic where creativity emerges. Conflict
resolution, planning, or negotiation, where the ambiguity of the information and
the requirement for rapid clarification and feedback are critical for the success
of the interaction [34, 35]. Student 1 is excited by the idea, moving his head for-
ward and backward towards the webcam (Fig.19.), simulating this fight, a fight
of ideas to generate new ideas, to encourage creativity by creating an emergency
situation. As we have observed in the first Extract in this paper (Extract 11:1),
where it appears as an emerging narrative, now we have an emergency situation.




   Fig. 18. Jair moves his head forward      Fig. 19. E1 simulates to punch the ca-
   and back                                  mara
152     S. Belli




                            Fig. 20. Everybody is happy



This is an unstructured and disordered situation, whereas in the previous dis-
cussion of the Extract we observed a structured and ordered situation. Now we
see chaos in an open system where creativity emerges. When the expert starts
the ‘fight’ with the students, he tries to put the social activity ‘in the wild’ [22],
using an emergency situation to stimulate the creative activity.
    Extract 11:18
    1. Emilia (Student): Yes, this is exactly that we want to do!(everybody
    2. is happy, Fig. 20.)
    In Extract 11:18, participants show positive emotion, finding an accord be-
tween them, in other words, after a chaotic and disordered narrative they agree.
In Extract 11:19 participants show even more positive emotions. Everybody
looks at the camera with happy faces and with a high level of attention.
    Extract 11:19
    1. E1: I will push things much harder because I think, it is really, a
    2. very very exciting idea. Mmhh think stronger that charity and
    3. ((inaudible)) I could be, you know, corporate and put under Yachay
    4. Tech umbrella ((High attention from students. Fig. 21)).
    The expert tries to stimulate this online collaborative learning by pushing
things higher, and students approve this strategy. As we saw in the Extract 11:1,
the emerging collaboration helped us understand how these narratives emerged
over time from the collective activities of the entire group [20]. From an emerging
situation, the participants have reached a consensus, an agreement, and this
generates a better project. This new project and the positive emotions expressed
by participants are the results of group collaboration.




                       Fig. 21. High attention from students
    How Innovation Emerges in Collectivities in Online Collaborative Learning    153

4     Conclusion

Working together in an online meeting requires a substantial investment of time,
emotions, and intellect [36], our analysis has drawn on a methodology to iden-
tify the best strategies to have success in these types of collaborative contexts.
When effective teamwork is a stake, it is unsurprising that much work is con-
cerned with how to enhance the success of online collaborations [37]. Advice for
members to create a sense of connectedness and equality [38], focusing more on
social interactions [39]or maintaining a close working relationship [40]. We have
tried to draw a map of the links between participants in a group interactional
process. However, in many cases, this order is purposely interrupted by chaos and
emergency situations to stimulate creativity. We can observe how this disorder
is intentionally a part of the structure of this kind of meeting.
    We have identified how the collaboratively emergent nature of the group
enables something novel and creative to occur, where groups that diverge from
routine are enabled to engage in something new. We also observed the students’
code-switching between English and Spanish and their different interactional
mechanisms (gaze, long silences, hand/arm movement, etc.). While we also had a
diversity of actors and authorities, none of this affected the collaborative network
they constructed.
    An informal dynamic brought into a formal setting, like laughs in the meet-
ing, stimulates a cooperative environment that brought together knowledge and
experience from different entrepreneurial sectors and from science and technology
institutions to work towards common goals. A multidisciplinary and multisec-
toral cooperative environment linked diverse knowledge sets and skills needed to
create and bring to the market complex projects and facilitate the exchange of
knowledge between individuals.
    Distributed innovation is shown in collaborative emergencies of structured
groups in online collaborative learning. We have observed how the innovation
of a group’s performance resides in the generation of new ideas from experts,
students, and professors. Recognizing positive reinforcement, cooperation and
empowerment, actions that promote innovation and creativity [4–6]. The analysis
of these online collaboration teams provides a methodology that can be used to
analyze the innovation distributed in other contexts in future research.


References
 1. Kaye, A. R. (Ed.): Collaborative learning through computer conferencing. TheNa-
    jaden Papers. NATO ASI Series F (1992).
 2. McConnell, D.: Implementing computer supported cooperative learning. London:
    Kogan Page (1994).
 3. Macdonald, J.: Assessing online collaborative learning: process and product. Com-
    puters & Education, 40(4), 377-391 (2003).
 4. Martins, E. C., & Terblanche, F.:Building organisational culture that stimulates
    creativity and innovation. European journal of innovation management, 6(1), 64-74
    (2003).
154     S. Belli

 5. Amabile, T. M.: A model of creativity and innovation in organizations. Research
    in organizational behavior, 10(1), 123-167 (1988).
 6. Kanter, R.M.:The change masters. New York: Simon & Schuster (1983).
 7. Alves, J., Marques, M. J., Saur, I., & Marques, P.: Creativity and innovation
    through multidisciplinary and multisectoral cooperation. Creativity and Innovation
    Management, 16(1), 27-34 (2007).
 8. Van de Ven, A. H.: Central problems in the management of innovation. Manage-
    ment science, 32(5), 590-607 (1986).
 9. Goodwin, C.: Conversational organization: Interaction between speakers and hear-
    ers. Academic Press (1981).
10. Stivers, T., & Sidnell, J.: Introduction: multimodal interaction. Semiot-
    ica,2005(156), 1-20 (2005).
11. Mondada, L.: Participants’ online analysis and multimodal practices: projecting
    the end of the turn and the closing of the sequence. Discourse studies, 8(1), 117-
    129 (2006).
12. Becvar, A., Hollan, J., & Hutchins, E.: Representational gestures as cognitive ar-
    tifacts for developing theories in a scientific laboratory. In Resources, CoEvolution
    and Artifacts (pp. 117-143). Springer London (2008).
13. Peräkylä, A.: Two traditions of interaction research. British Journal of Social Psy-
    chology, 43(1), 1-20 (2004).
14. Rossano, M. J.: The essential role of ritual in the transmission and reinforcement
    of social norms. Psychological Bulletin, 138(3), 529 (2012).
15. Tiitinen, S., & Ruusuvuori, J.: Using Formulations and Gaze to Encourage Parents
    to Talk About Their and Their Children’s Health and Well-Being. Research on
    Language and Social Interaction, 47(1), 49-68 (2014).
16. Peräkylä, A., & Ruusuvuori, J.: Facial expression in an assessment. Video anal-
    ysis methodology and methods: qualitative audiovisual data analysis in sociology
    (2006).
17. Goodwin, C.: Participation, stance and affect in the organization of activities.
    Discourse & Society, 18(1), 53-73 (2007).
18. Heritage, J., & Sefi, S.: Talk at work (pp. 359-419). Cambridge University Press,
    Cambridge (1992).
19. Sacks, H., Schegloff, E. A., & Jefferson, G.: A simplest systematics for the organi-
    zation of turn-taking for conversation. Language, 696-735 (1974).
20. Sawyer, R. K., & DeZutter, S.: Distributed creativity: How collective creations
    emerge from collaboration. Psychology of Aesthetics, Creativity, and the Arts,
    3(2), 81 (2009).
21. O’Conaill et al.: Conversations over video conferences: An evaluation of the spoken
    aspects of video-mediated communication. Human-Computer Interaction, 8, 398-
    428 (1993).
22. Hutchins, E.: Cognition in the Wild. MIT press (1995).
23. Salomon, G.: No distribution without individuals’ cognition: A dynamic interac-
    tional view. Distributed cognitions: Psychological and educational considerations,
    111-138 (1993).
24. Hampden-Turner, C.:Teaching innovation and entrepreneurship: building on the
    Singapore experiment. Cambridge University Press (2009).
25. Duncan, S.: Some signals and rules for taking speaker turns in conversation. Journal
    of Personal and Social Psychology, 23, 283-292 (1972).
26. Alves, J., Marques, M. J., & Saur, I. A.: Role of Networking in Innovation Promo-
    tion and Cluster Modernization:“House of the Future” Case (2004).
  How Innovation Emerges in Collectivities in Online Collaborative Learning         155

27. Rycroft, R. and Kash, D.: ‘Self-organizing Innovation Networks: Implications for
    Globalization’, Technovation, 24, 187–97 (2004).
28. OECD: Innovative Networks: Cooperation in National Innovation Systems, OECD,
    Paris (2001).
29. Van de Ven, A. H.: Central problems in the management of innovation. Manage-
    ment science, 32(5), 590-607 (1986).
30. Kanter, R.M.: The change masters. New York: Simon & Schuster (1983).
31. Koen, P. A.: The fuzzy front end for incremental, platform and breakthrough prod-
    ucts and services. PDMA Handbook, 81-91 (2004).
32. Cooper, R., Edgett, S., & Kleinschmidt, E.: Portfolio management for new product
    development: results of an industry practices study. r&D Management, 31(4), 361-
    380 (2001).
33. Kahn, M.: Flight of the Flamingos: A Study on the Mobility of R & D Workers:
    a Project by the Human Sciences Research Council in Partnership with the CSIR
    for the National Advisory Council on Innovation. HSRC Press (2004).
34. Daft, R., and Lengel, R.:Information richness: A new approach to managerial be-
    havior and organizational design. In B. Straw and L. Cummings (Eds.), Research
    in organizational behavior (pp.191-223). JAI Press, Greenwich, CT (1984).
35. Whittaker, S.: Towards a theory of mediated communication. Unpublished
    manuscript (1992).
36. Pardee, J. W., Fothergill, A., Weber, L., & Peek, L.: The collective method: collab-
    orative social science research and scholarly accountability. Qualitative Research,
    18(6), 671-688 (2018).
37. Darics, E., & Cristina Gatti, M.: Talking a team into being in online workplace
    collaborations: The discourse of virtual work. Discourse Studies, 21(3), 237-257
    (2019).
38. Boros S, Meslec N, Curseu PL, et al.: Struggles for cooperation: Conflict resolution
    strategies in multicultural groups. Journal of Managerial Psychology 25: 539–554
    (2010).
39. Suh A and Shin K-S: Exploring the effects of online social ties on knowledge shar-
    ing: A comparative analysis of collocated vs. dispersed teams. Journal of Informa-
    tion Science 36:443–463 (2010).
40. White, M.: The management of virtual teams and virtual meetings. Business In-
    formation Review 31(2): 111–117 (2014).