Archive for the ‘hybrid ecology’ Category

h1

Wrapping up some ecology concepts

June 18, 2008

Recently there are quite many biological theories that are used to explain the web 2.0 phenomena.

I have been fascinated in elaborating the niche ideas and these other biological ideas seem to be moving into their places in this ecological learning theory i have in mind.

About a year ago i was reading about hive mind idea for explaining collective intelligence and global mind.

..we see sophisticated, elegant, convenient communications software arise “from nowhere,” made of thousands and thousands of carefully ordered code

The major components of a Hive Mind are:

* Communication
* Visibility
* SharedAwarenessSystem
* Commitment

Just recently Petri Kola explained at seminar the concept of swarms as a very useful one to explain behaviour in microblogging sites.

At summerschool I was talking with Tobias about foraging behaviours that seemed quite promising and fitting into the ecology framework of learning in web 2.0.

Wikipedia says that:
Foraging theory predicts that the foraging options that deliver the highest payoff, should be favored by foraging animals because it will have the highest fitness payoff.
There are many versions of optimal foraging theory that are relevant to different foraging situation. These include:
* The optimal diet model, which describes the behavior of a forager that encounters different types of prey and must choose which to attack
* Patch selection theory, which describes the behavior of a forager whose prey is concentrated in small areas with a significant travel time between them
* Central place foraging theory, which describes the behavior of a forager that must return to a particular place in order to consume its food, or perhaps to hoard it or feed it to a mate or offspring.

The patch selection theory seems to be connected with ‘leaving traces’ ideas from the swarm behaviour. The ‘central place foraging’ idea has a connection with niche formation through fitness landscapes.

There is a paper in press:
Chaos, Solitons & Fractals
Volume 38, Issue 1, October 2008, Pages 277-292
Collective motion of a class of social foraging swarms
Bo Liu, Tianguang Chua, Long Wanga and Zhanfeng Wanga

The general understanding in biology is that the swarming behavior is a result of an interplay between a long-range attraction and a short-range repulsion between the individuals.
In the course of foraging the swarm individuals may also be affected by a nutrient profile (or an attractant/repellent), i.e. attraction to the more favorable areas or repulsion from the unfavorable areas of the attractant/repellent profile.

The results show that the members of a quasi-reciprocal swarm will aggregate and eventually form a cohesive cluster of finite size for different profiles.
All the swarm individuals can converge to more favorable areas of the profile and diverge from unfavorable areas under certain conditions.
More complex self-organized oscillations may occur in the systems.

Graham was mentioning also the rhizomic networks idea i have liked before, that might fit into the scheme.

h1

Multi perspective view to affordances of tools

June 5, 2008

Today at master defences commission i played a bit with my data collected from students’ course.
Here is the demo tool to play with your dataset:
http://kerg.tlu.ee/demos/multi-perspective-exploration

The formation of learning spaces happens through the social definition of several learning and teaching related environmental gradients that define the niche as the multidimensional space. In general, any gradient is a peak of the fitness landscape of one environmental characteristic, which can be visualized in two-dimensional space as a graph with certain skewness and width, determining the ecological amplitude. The shape of the fitness graph for certain characteristic can be plotted through the abundance of certain specimen benefitting of this characteristic. Each niche gradient defines one dimension of the space. Any learning and teaching gradient is determined as a characteristic that learners and teachers as creative knowledge constructing organisms perceive and actualize as useful for their activities and wellbeing individually or in groups. These niches gradients that make up learning and teaching spaces may be ecologically named learning affordances of the space – they are defined mutually in interaction both by the learner and the surrounding system.

Niche gradients emerge in the course of the embodied simulation processes of several individuals. Both the environmental cues and activity traces from surrounding environment, as well as, learner’s embodied knowledge involving the use of this environment in action, would trigger the actualization of certain learning affordances.

The activity system model provides a meaningful framework for describing the components of the surrounding environment where the learners and teachers are embodied during their activities. These involve individuals with certain objectives aiming to work together and defining certain rules and roles within their community when using tools and artifacts as mediators of their actions. Hence, the learning affordance descriptions involve the learning action verbs, people who are involved in action, and mediators of actions (various tools, services and artifacts). Any individual conceptualizes learning affordances personally, but the range of similar learning affordance conceptualizations may be clustered into more general affordance groups eg. pulling social awareness information or searching artifacts by social filtering etc.

Since in the learning design models the choice of the software tools plays an important role, niches may be defined by the frequency each learning affordance is perceived useful when making use of the certain tool.

The most useful affordances of each tool are demonstrated at upper right corner.

Here are the affordances of blog and wiki.

Affordances of social bookmarks and google search engine

Affordances of chat and aggregator

h1

How do learning affordances define niches?

May 22, 2008

A work in progress for the affordance paper.

Introduction

An affordance term is used for signifying the intermediate constructs that emerge dynamically in the activities what people perform with certain objectives while using the environment as a mediator for these activities. Affordances indicate the certain dimension of the environment that learners actualize as the mediator of specific activities. Affordances also constrain the certain range of possible activities that would be considered in this environment. Therefore affordance definitions usually contain activity verbs, actors and object properties from the environment. The two components – the emerging activity objectives, and the certain aspects in the environment as the mediators of actions simultaneously influence, which affordances will be actualized.

One of the hypotheses is that the emergence of affordances may at some cases be triggered more by the environement side, and at other cases more by the activity planning side.

At an environment side the environment is the niche that forms through the uncoordinated action of many individuals. At action side, each individual performs coordinated actions and influences the niche. These both sides of the ecosystem are interrelated, the individual ‘particle’ level state creates feedback to the environment that in large scale causes the emergence of another ‘whole’ state of the niche. The whole state serves as the activity system, constraining the actions for each individual.

The learner’s choice of affordances at their activity- and landscape descriptions enables to investigate how some social media tools are perceived and actualized as learning mediators more at particle level, while others are perceived as obtaining the learning affordances at the whole activity system level.

The questions in interest were:
1. Which are the learning affordances that learners evoke when using certain social media tools?
2. Do learners perceive the overlapping learning affordances when using different social media tools?
3. Does the description type (activity description or learning landscape description) actualize different sets of learning affordances?
4. Do learners evoke different learning affordances with individual and collaborative learning activity and learning landscape descriptions?

Methods

For the data analysis the visual and narrative, data collected from the master level students participating at the course ‘Self-directed learning with web 2.0 tools‘, was used. The students composed personal learning environments from web 2.0 tools and described these, composing learning landscape schemes. They also draw activity patterns to describe activities at their personal learning landscapes. Several of the landscape and activity pattern descriptions were composed for collaborative groups. Each figure was accompanied by narrative descriptions mentioning several learning affordances in relation with the tools the student(s) used for activities and for constructing distributed learning landscapes.

The analysis of 63 activity- and learning landscape descriptions was conducted. From the figures and from the narratives the learning affordances were collected and categorised. The categorization scheme separated each affordance according to its belonging to: a) activity scheme or learning landscape scheme, and b) individual or collaborative learning activity. The relationship of the learning affordance with the tool(s) was categorised using binary system. The main tool categories were: blog, wiki, chat tools (MSN, Skype, Gabbly), email, search engines, RSS aggregator, social bookmarking tools, forums, co-writing tools (eg. zoho or google documents), co-drawing tools (eg. Vyew, Gliffy), and social repositories Flickr and Youtube. These were selected because these tools were mostly in use by the students during the course and they also appeared at their schemes frequently.

Analytically, ANOVA , Cross tabulation and Chi square anlaysis were used as primary methods to show if there was a difference in the distribution of learning affordances in different settings: wholistic and collaborative emergence level, and particular and individual emergence level.

These data reflect specifically the learning affordance perception of the students of the course (beginner users of web 2.0 tools), and cannot be broadened to the perception of learning affordances of the active web 2.0 users in various settings.

The learning affordances were categorized into specific types representing similar affordances: assembling, managing, creating, reading, presenting, changing and adding, collaborating and communicating, sharing, exchanging, searching, filtering and mashing, collecting, storing, tagging, reflecting and argumenting, monitoring, giving tasks and supporting, asking and giving-getting feedback, and evaluating. These types were taken from the main verbs the students tended to use in their learning affordances.

Factor analysis was used to indicate how certain learning affordance categories are related with certain tools. Cross tabulation shows the overlap of some tools on the basis of learning affordances.

The frequency of learning affordance categories was found for each tool both in case of activity and landscape descriptions. Each learning affordance eg. searching was considered as a variable defining the niche. Niches have been defined as the environmental gradients with certain ecological amplitude, where the ecological optimum marks the gradient peaks where the organisms are most abundant. In all activity/landscape descriptions the optimum for certain learning affordance category was calculated dividing the frequency of this affordance per certain tool to the total frequency of certain learning affordance category for all tools.

Results

Factor analysis related certain tool types with certain learning affordance categories.

Factor analysis indicated that learners relate certain affordances with certain tools. 13 factors, describing 60 % of the system, were identified:

1. searching with search engine
2. collecting and sharing in social repositories (flickr, youtube)
3. collaborating, communicating and exchanging with email and chat
4. collecting, tagging and storing with social bookmarking tool
5. finding, filtering and mashing and monitoring with aggregator
6. collaborating and communicating with collaborative publishing tools (wiki, zoho and google documents, View and forums)
7. presenting, reflecting and monitoring with co-drawing tools (Vyew, Gliffy)
8. giving tasks, asking and supporting with blog
9. changing, adding, collaborating and communicating and sharing with co-drawing tools (View, Gliffy)
10. creating, assembling and reflecting with co-drawing tools (View, Gliffy)
11. managing, collecting and monitoring with blog
12. assembling and evaluating with blog
13. reading and reflecting with forum and blog

Learners perceived that several tools have overlapping affordances and can be used simultaneously or together when solving certain pedagogical aims.

The findings of ANOVA analysis (see Table 1) indicate that learners perceived the affordances differently if they focused on the activity side or if they focused on the learning landscape (tool) side when describing self-directed and collaborative learning. When learners described learning landscapes they actualized more learning affordances of social bookmarking and co-drawing tools than they did at their activity descriptions. The learning affordances related to blog, wiki, and forum usage were more frequently mentioned in case of activity descriptions compared to learning landscapes.

There was no significant difference between affordance distribution in case of individual and collaborative diagrams of activities and learning landscapes using ANOVA analysis. The ANOVA analysis indicated that in the activities with social media, the learners did not make significant differences between how they actualized affordances when learning individually with the teacher, and when participating in the group learning situations.

The cross tabulation and Chi square analysis of the distribution of the learning affordances related to activity and landscape descriptions in case of individual and group learning situations (see Table 2) demonstrated that some tendencies, indicating the different frequency of affordances similarly like in ANOVA analysis (see Table 1), were present both at individual and collaborative descriptions. For example both in individual and collaborative learning cases the learning affordances using aggregator and co-drawing tools were mentioned more frequently in case of landscapes compared with activity descriptions.

The difference between individual and collaborative distribution of affordances in landscape and activity descriptions was found in case of using social bookmarks and search engines. It was found that there were significantly more than expected affordances related to using social bookmarking tools at collaborative landscapes, and the number of affordances related to using search engines was larger at individual activity descriptions. Significantly more learning affordances were related to individual activity descriptions and blog and wiki usage. The last finding seems to be related to the activities of the course and maybe is not so general. The students of the course did individual assignments in blogs, commented each other’s blogs and worked collaboratively with wiki tool.

The cross tabulation and Chi square analysis of the distribution of the learning affordances related to individual and group learning situations in case of landscape and activity descriptions (see Table 3) indicated that search engine usage is clearly related with individual activity descriptions, while chat and aggregator-related learning affordances have been used at collaborative landscapes.

The same tendency was not apparent in case of the descriptions of collaborative learning. When describing learning affordances of collaborative landscapes the social bookmarking tool was noted significantly more than expected compared with collaborative activities.

The following figures 1 and 2 demonstrate two different niche landscapes.

Figure 1. The niche landscape of learning affordance types presented at activity descriptions

Figure 2. The niche landscape of learning affordance types presented at learning landscape descriptions

Figures 3 and 4 present learning affordance niches for the activity and landscape descriptions

Figure 3. Niche landscape from activity descriptions.

Figure 4. Niche landscape from learning landscape descriptions.

The following example presents the clear qualitative difference of learning affordances of social bookmarking tool in learning landscape and activity descriptions. The former indicates recognized new social activities and related affordances, the latter is more old-fashioned and individual centred.

Learning affordances from landscape descriptions related with social bookmarks

Contributing
Advancing the software
Adding resources to the landscape
Increasing affordances
Student can change and add materials

Collecting and storing
Finding information
Searching information
Searching information
Searching information
Adding links
Important bookmarks can be collected
Links to the learning materials
Adding bookmarks
Adding necessary information
Saving information
Saving information
Collecting private bookmarks
Collecting artifacts

Tagging
Tagging artifacts
Social tagging of presentations
Social tagging of feeds
Community based tagging
Social tagging
Social tagging
Social tagging of videos
Social tagging of feed channels
Adding tags for remembering important links

Filtering
Filtering information
Access through tags
Receiving information for learning from different sources
Information feed to demonstrate presentations
sorting tools for oneself
searching tools with tags
receiving information
Showing tagged information feeds

Pulling
tagged bookmarks can be pulled together
information feeds from links go automatically to aggregator
Pulling information feeds

Sharing
Using shared resources
Sharing artifacts
Sharing with peer students
Public usage of bookmarks
Sharing presentations
Sharing information tag-based
sharing tags and impressions
sharing bookmarks

Collaborating
Asynchronous learning
synchronous learning
simultaneous work with team members
Working jointly
communication with team members
viewing bookmarks collaboratively for learning

Managing
system administration and content generation

Learning affordances related with social bookmarking tools at activity patterns

Collecting and storing
searching
searching
searching and collecting information collecting
Searching ideas from internet
Searching images from Internet
collecting
collecting information feeds
collecting links
adding links
adding links
saving the bookmarks of materials
saving data
saving the results
Saving information
Saving information
Saving materials
Saving information and artifacts

Sharing
Sharing data
Sharing information with interested counterparts
sharing materials
exchanging materials
Taking into use the artifacts of shared learning activity
Sharing information with learners

Tagging
Student gets familiar with tags
Student searches bookmarks with tags
adding tags to texts
Tagging important information
Tagging important posts
Tagging information
saving bookmarks with tags
choosing bookmarks with searching tags
Marking important information obtained from blogs
Connecting information data and artifacts

Individual assignments
Student starts solving the task
Reading written information
Student gets the answer
Students communicates with peer learners and finds new information
tutor gets overview of the study topics

Conclusions

These results suggest that some old tools (search engines) and new social tools (eg. blog, wiki) are perceived more as meditors for individual actions, while other social tools eg. aggregators and social bookmarking tools seem to be perceived more as collaborative scenes for ‘produsage’.

Final words

In general these results seem to be supporting my initial hypothesis that the perception of learning affordances of different social media tools is not happening with the same mechanism if we plan activities and if we think where we conduct these activities. These results are even more notable because students’ task was to present in parallel their learning landscape and an activity pattern at the same learning landscape.

This rises another question, whether the niches in web 2.0 environments arise with different affordance perception mechanisms (basically, are there two ends of one dimension?) - some because of particle level affordance perception that is related more to highlighting personal actions, and another due to highlighting the collaborative broad ‘produsage’ scene perception.

h1

seminar: Internet Swarms and Peer production

May 12, 2008

Today we have in KERG seminar two guests, Petri Kola and Juhana Kokkonen.
Topic is: Internet Swarms and Peer production

Swarm as a structure of very skillful internet users - net natives - who move from service to service using them in a very creative way. Participants have between them lose connections compared to the physical world. Traditionally if you start a volunteer organization officially people first must argue of hierarchy and rules and it slows down the process before anything real happens. In the net it is the opposite - people come together and start to develop some idea and start to put it into action step by step. People are investing a little time to see if the thing goes forward - microtrust, things do not have to succeed.

It is different from common view of web 2.0 users as amateurs, Petri believes the users are more with expertise.

How net is different from physical world?

Our concept of “how internet works” shouldn’t be developed on the basis of metaphors but real research data.

Metaphors can give us totally wrong picture how things are, eg. friction and privacy can be totally different in physical and virtual environment.

Internet happens to be a different kind of beast.

Micro contribution is something that doesn’t exist in physical world.
It is different from traditional participation systems - you can make easily contributions (eg. like in wiki).

Typical life patterns change with micro contributions.

More and more knowledge production is becoming the leading part in creating values and money.
Productivity in cognitive work depends on the right participants and resources meeting together.

Open systems better as information processing systems.

Individual physical differences are not so big as the knowledge work differences between individuals.
Out cognitive ability is different at different times of the day, we are productive when we can choose time and space.

Commons based peer networks: open systems

Compared to hierarchical organizations, it makes a lot of sense to go over organizational borders and give people initiative to choose people to work with and to choose what to do.

Yokshai Benkler: The wealth of networks: how social production transforms markets and freedom (2006).

Essential question: how to combine contributions.

What are the criteria for someone to have the permission to contribute.
In open production model there is no hierarchy about who is more competent. In digital world we have a permanent undo-possibility - if someone contributes what does not fit it can be undone.

Question is how to make difference and separate good and bad contributions.
Community can establish a system where contributions are evaluated.
Contributions can be evaluated by their merit, effect.

There must be some rules:
The rule of neutral point of view: every article should be balanced with point of uses.

Forking makes open virtual immaterial collaboration different from real production.
Community can choose the safe branch and avoid the problematic one.

Forking is an insurance for participants.

How virtual organizing is different?
Organizing to the virtual internet can be differnet from organizing physical reality.

early feedback
do something and evaluate afterwards
emergent rules
unclear borders
focus on action and achievement
short time periods for one goal
rules are more decided on the way
doesn’t look like much effort
doesnt have to succeed
the collaborations do not look like anything
you must be part of it to see the point

In lightweight organizations, if based on volunteer participation, the projects can go to sleeping mode without a problem.

Hacker attitudes from wikipedia, but many of these attitudes seem much in line how participating in swarm.

Produsage= production + usage
If production and consumption cannot be separated, it may change values, it may make to rethink what is the product.

If you are not a contributer now, you are always a potential contributor. A wiki must be constantly monitored all the time to remain the product it is.

stigmery= indirect coordination between agents or actions
It means the way how ants coordinate their action, they change their environment and it changes actions of other sin this environment.

Eric Bonabeau, a complexity theorist and the chief scientist at Icosystem Corporation in Cambridge, Massachusetts. “We’re not used to solving decentralized problems in a decentralized way. “

Crowds tend to be wise only if individual members act responsibly and make their own decisions. A group won’t be smart if its members imitate one another, slavishly follow fads, or wait for someone to tell them what to do. When a group is being intelligent, whether it’s made up of ants or attorneys, it relies on its members to do their own part.

Karsten Heuer, a wildlife biologist, observed in 2003, when he and his wife, Leanne Allison, followed the vast Porcupine caribou herd (Rangifer tarandus granti) for five months. “It was as though every animal knew what its neighbor was going to do, and the neighbor beside that and beside that. There was no anticipation or reaction. No cause and effect. It just was.”

“In biology, if you look at groups with large numbers, there are very few examples where you have a central agent,” says Vijay Kumar, a professor of mechanical engineering at the University of Pennsylvania. “Everything is very distributed: They don’t all talk to each other. They act on local information. And they’re all anonymous.

Charles N. Harper: “When ants bring food back to the nest, they lay a pheromone trail that tells other ants to go get more food,” Harper explains. “The pheromone trail gets reinforced every time an ant goes out and comes back, kind of like when you wear a trail in the forest to collect wood. So we developed a program that sends out billions of software ants to find out where the pheromone trails are strongest for our truck routes.”

ecological niche idea is there!

The text is not only content, but it is also a guide for participating in the project. It is both the content and the participation interface put together.

Projects parvi.fi

Tutkimusparvi: people from social media research

Swarm-like education is the model where people will be representing different stakeholders. There will be learning materials like wikibooks. The idea would be start a peer-learning process, where all the diffrenet groups contribute and learn from each other.

Mauri: when does swarm lose being a swarm, are there characteristics of swarminess

Petri: maybe swarm is a phase of getting more organized

Forking ability gives the swarm-quality.

Learning swarm wiki was started.

My reflections:
i think Petri put two different things into one that are not same at phenomenon level - awareness based dynamic small-particle behaviour centred microblogs, and wikis that are more the broad result centred less than identifying the actors.

1. some swarm phenomena in awareness systems are at particle level dynamic and convey short term feedback type of influence to changing of the ecosystem/niches in the sense why and what the others do, that is socio-emotional and task and process (activity) awareness perhaps

2. more artifact-centred wikis are systems where the long-term feedback (the pages) influences the niche more and is of more ecological impact. Focus is on what changed in the environment where the actors are living in. Maybe it is the broad situation awareness?

In embodied simulation there are some aspects from both: picking up and integrating into your action both the other actors as well as the objects (something in text either as traces of action or triggers of meaning building) that might serve as your action triggers.

h1

Affordance networks

April 26, 2008

Yesterday Pirkko Hyvonen mentioned an interesting paper of the affordance networks. In this paper the ecological theory of knowing is elaborated that is in line with what i have been dealing with in my research.

It seems they eventually have same idea like i developed of an activity system as the place where affordances emerge as constraints (in their case affordance network).

They assume that when connecting learners to ecological networks where they can learn through engaged participation, the affordance networks must become activated.

What is different from my understanding is that in this paper they try to use the Gibson’s effectivity term “effectivity set, he or she is more likely to perceive and interact with the world in certain ways”, but i think behind this term effectivity we should look embodied knowledge and embodied simulation processes, which have been discussed in relation to mirror neuron studies.

Effectivity coupling with affordance networks is seen by them as intentionally bound system initiated by person or by the environment (external lifeworld), but i think that according to the embodied simulation theory such system or process is activated in the mutual interaction of goals and envoronment:

Hommel (2003), assumes that action control to all behavioral acts is ecologically delegated to the environment - when planning actions in terms of anticipated goals, the sensory-motor assemblies needed to reach the goal are simultaneously selectively activated in the environment, and bind together into a coherent whole that serves as an action-plan, facilitating the execution of the goal-directed actions through the interaction between the environment and its embodied sensory-motor activations.

Curriculum-Based Ecosystems: Supporting Knowing From an Ecological Perspective
Sasha A. Barab, & Wolff-Michael Roth

Educational Researcher, Vol. 35, No. 5, 3-13 (2006)

Knowledge acquisition may be overrated and that a more important role of education is to stimulate meaningful participation (Sfard, 1998), or what we describe as effectivity/affordance
coupling.

Central to the situative perspective is the belief that one should abandon the treatment of concepts as self-contained entities and instead conceive of them as tools—tools that can be fully understood only through use.

The central tenets of this perspective with respect to knowing are that:
(a) knowing is an activity—not a thing;
(b) knowing is always contextualized—not abstract;
(c) knowing is reciprocally constructed in the individual–environment interaction—not objectively defined or subjectively created;
(d) knowing is a functional stance on the interaction—not a “truth” (Barab & Duffy, 2000).

Consistent with the situativity perspective, we argue for an ecological theory of what it means to know. Such a theory acknowledges the world as being structured to support goal-directed behaviors, while at the same time placing the realization of these meanings as part of the individual–environment relation.

Situating knowing and meaning as part of individual–environment relations, rather than solely
in the world or in the individual.

From ecological perspective, learning is a process of becoming prepared to effectively engage dynamic networks in the world in a goal-directed manner (Hoffmann & Roth, 2005).

Affordance networks, in contrast to the perceptual affordances described by Gibson, are extended in both time and space and can include sets of perceptual and cognitive affordances that collectively come to form the network for particular goal sets.

Affordance networks are not entirely delimited by their material, social, or cultural structure, although one may have elements of all of these; instead, they are functionally bound in terms of the facts, concepts, tools, methods, practices, commitments, and even people that can be enlisted toward the satisfaction of a particular goal.

In this way, affordance networks are dynamic sociocultural configurations that take on particular shape as a result of material, social, political, economic, cultural, historical, and even personal factors but always in relation to particular functions.

Affordance networks are not read onto the world, but instead continually “transact” (are coupled) with the world as part of a perception–action cycle in which each new action potentially expands or contracts one’s affordance network. Rather than separate the thinking individual from the physical environment, the ecological paradigm that underlies our thinking transcends the mind-body dualism, instead situating meaning in the dynamic transaction between mind and body.

The particular shape of a network changes with the dynamic interplay of these factors.

For a key bounding on the shape of any network for a particular individual is the effectivity set through which she comes to form relations with the network.

Connecting learners into ecological systems means coupling effectivity sets and affordance networks.

Each individual has a life-world.
The environment, from the vantage of any one individual, includes material, social, and even cultural resources, all of which share the act of successful participation.

Life-worlds are always structured in patterned ways that are functionally meaningful for an individual within some societally defined activity and are therefore inherently intelligible to others (Leont’ev, 1981; Mikhailov, 1980).

Life-world is an emergent phenomenon, with its particular shape being a result of the affordance network/effectivity set coupling, and persons’ goals being an essential factor contributing to whether a particular network becomes enlisted in supporting the emergence of one’s life-world.

Like activity systems (e.g., Engeström, 1987), affordance networks are functionally bounded, which implies that the boundaries are dependent on the intended outcome or function that they serve (i.e., they are situated with respect to the task at hand). Boundaries of a particular network lie in those aspects of a performance necessary to functionally address a particular goal to which the network has value.

For a particular individual, constraints exist in social, cultural, economic, and political factors such that they mediate whether a tool, resource, or even a particular stance can be found in her network.

An effectivity set constitutes those behaviors that an individual can in fact produce so as to realize and even generate affordance networks. When an individual has a particular effectivity set, he or she is more likely to perceive and interact with the world in certain ways—even noticing certain shapes of networks that are unavailable to others.

Effectivity sets are properties of individual–environment transactions out of which a new epistemic frame might emerge.

The dynamic coupling of an effectivity set to an affordance network forms what we refer to as an intentionally bound system. An intentionally bound system is not simply defined by the environment or the individual but emerges through the dynamic transaction that couples effectivity sets with affordance networks.

This coupling begins with an intention; whether the intention begins with the learner or the environment is inconsequential from an ecological perspective, in that the two are simply aspects of the same phenomenon.

h1

social nature of language

April 16, 2008

One of the theoretical pillars is the hybrid ecology framework is embodied simulation, elaborated in the studies that Gallese refers below. His new paper, dedicated to the social nature of language is generalizing many studies. If to think how it is useful in our experimental ideas, we can think that not only texts, but also acustic or visual artifacts (eg. in Youtube) may trigger actions similarly like we believe the narratives might do.

What seems to be missing from his explanations is how these visual, acustic or verbal cues are triggering different actions ecologically same way like in the environment we evoke different affordances that let us accomplish our intentions and actions.

However, while in his experiments such non-stability shows no relation between certain type of clues and appropriate action statistically, considering this person-specific activation of certain actions seems to be necessary if we are supporting the Ecological psychology framework.

From an uncorrected proof from V. Gallese page:
Mirror neurons and the social nature of language: The neural exploitation hypothesis
Vittorio Gallese
2008

By neural exploitation, social cognition and language can be linked the experiential domain of action.

The perception of shared environment and behaviors helps in maintaining alignment between conversational partners (Clark & Wilkes-Gibbs, 1986; Pickering & Garrod, 2004).

Embodied simulation is a specific mechanism through which the brain/body system models its interactions with the world (Gallese, 2001, 2003, 2005, 2006).

Besides visual input, mirror neurons are also activated during the observation of partially hidden actions, when the action outcome can be predicted - the anticipated final goal-states of the motor acts (Umilta et al., 2001).

Nonhuman primates possess the ability to deduce what others know about the world on the basis of ostensive behavioral cues, like the direction of gaze.

Embodied conceptualization mechanism grounds meaning in the situated and experience-dependent systematic interactions with the world (Gallese & Lakoff, 2005)

Barrett et al. (in press) have argued that apparent cognitive complexity of the social domain emerges from the interaction of brain, body and the world, rather than being the outcome of the level of intrinsic complexity of primate species.

Viewing social cognition as an embodied and situated enterprise offers the possibility of new neuroscientific approach to language (Clark, 1997; Barsalou, 1999; Lackoff & Johnsone, 1999).

Meaning is the outcome of our situated interactions with the world.
With the discovery of written language, meaning is amplified as it frees itself from being dependent upon specific instantions of actual experience.

Language evokes the totality of possibilities for action the world puts upon us, and structures action within a web of related meanings.

Our way of being depends what we act, how we do it, and how the world responds to us.

When we speak, by means of the shared neural networks activated by embodied simulation, we experience the presence of others in ourselves and of ourselves in others.

According to the embodiment theory the neural structures presiding over action execution should also play a role in understanding the semantic context of same actions when verbally described.
Action contributes to the sentence comprehension.

The prediction of the embodiment theory of language understanding is that when individuals listen to action-related sentences, their mirror neuron system should be modulated which should influence the primary motor cortex, henceforth the production of movements it controls.

The experimental data shows that processing sentences describing actions activates different sectors of motoneuron system, depending of the effector used in the listened action.

Silent reading of words referring to actions of arm and leg led to the activation of different sectors of pre-motor areas controlling motor acts of the body congruent with the referential meaning of the read action words (Hauk, Johnsrude & Pulvermüller, 2004).

The mirror-neuron system is involved not only in understanding visually presented actions, but also in mapping acustically or visually presented action-related sentences.

The precise functional relevance of mirror neuron system and embodied simulation in the process of language understanding remains unclear.

When in the course of evolution selective pressures led to the emergence of language, the same neural circuits in charge of controlling the hierarchy of goal-related actions might have been exploited to serve the newly acquired function of language syntax.

h1

amateurs and volunteered geography

April 8, 2008

An interesting paper was advertised in one of the Springer newsletters:

Citizens as sensors: the world of volunteered geography
Michael F. Goodchild
GeoJournal (2007) 69:211–221

Why i find this paper interesting is that it asks the questions why do people do this. We truly don’t believe that it is done because to make better maps. Why would an amateur geographer do it?

I would just think of processes like:
- creating niches for ourselves, for better embodiment and enaction
- playfully following some cultural practices because we can, and because the environment calls for such actions,
- leaving for ourselves mental maps to free our thinking same way as we have learned to trust the files in our computer as an extra memory?
- streaming for self-administered, personalized, user-tagged and thus more appropriately filtered content for triggering our emotions and actions

Here are some from the paper:

Why is it that citizens who have no obvious incentive are nevertheless willing to spend large amounts of time creating the content of Volunteered Geographic Information sites?

Self-promotion is clearly an important motivator of Internet activity

Public personal usage - Many users volunteer information to Web 2.0 sites as a convenient way of making it available to friends and relations, irrespective of the fact that it becomes available to all.

Personal satisfaction from seeing their own contributions appear in the growing patchwork.

While geographic naming has been centralized and standardized, and assigns no role to obscure individuals, the new web 2.0 environments have given rise to the composition of layers of new kind of volunteered geographic information.

Remote sensing with satellites has replaced mapping.

Very few people know the latitude and longitude of their home, but in normal human discourse it is place-names that provide the basis of geographic referencing.

In Wikimapia…

anyone with an Internet connection can select an area on the Earth’s surface and provide it with a description, including links to other sources. Anyone can edit entries, and volunteer reviewers monitor the results, checking for accuracy and significance.

Google Earth and Google Maps popularized the term mash-up, the ability to superimpose geographic
information from sources distributed over the Web, many of them created by amateurs.

Practicality:

A collection of individuals acting independently, using shared protocols and standards, and responding to the needs of local communities, can together create a patchwork coverage.

Networks of human sensors

Humans themselves, each equipped with some working subset of the five senses and with the intelligence to compile and interpret what they sense, and each free to rove the surface of
the planet.

h1

niches in hybrid ecology

April 7, 2008

We had quite a discussion on the niches in hybrid ecology with Anatole Pierre Fuksas. He assumed that novels are ecologically more evolved form of art for enaction than other types of art. In a way this argument puzzled me, because it seems that novel is a niche with more constraints for taking action and triggering emotion freely than for example symbolic art is, which has less sensory-motor action potentialities clearly defined.

One example indicating, that people like such forms that have seemingly more constraints is the learning course design - students always seem to prefer more constrained tutor-defined settings rather than free ones for self-directing their learning. In the beginning this idea did not make sense to me: why would the more constrained environment be ecologically preferred, since we know what happens with the over-specialized organisms in very specific niches - they die out as soon as something changes slightly.

Then we came to the idea that all man-made ecological niches, what novels, art or learning environments are, can be described on the axis of entanglement of emotional and action clues: symbolic art or music entangles both type of clues in one, while novels do separate emotional and action clues more clearly, as words and expressions in the narrative. So it seems we as humans rather prefer those niches, where the emotional and action clues are easily separable to be enacted.

This niche description triggered me to seek for more information of the niche concept. It seem that the feedback type of interaction of organisms with their environment creates niches both for themselves and the other organisms in the niches.

The basis of this feedback can be explained with the emergence of affordances in the interaction between the organism and the environment - the situated doing and being, as Heft (2003) explains it. Constructed embodiments (Heft calls it ecological knowledge) may be left as traces to the environment including tools, artefacts, representations, social patterns of actions, and institutions. This is how people shape their surrounding environment as an ecological niche.

The less entangled potential triggers for action and emotion there are in the niche (like in novels), the easier it is to enact in this niche, and the more probable it is that the result of these actions and emotions will be reshaping ecologically this niche through the feedback. Thus, such systems may become more evolving.

I found the book:

Niche Construction:The Neglected Process in Evolution
F. John Odling-Smee, Kevin N. Laland, & Marcus W. Feldman
2003

All living creatures, through their metabolism, their activities, and their choices, partly create and partly destroy their own niches.

Organisms interact with environments, take energy and resources from environments, make micro- and macrohabitat choices with respect to environments, construct artifacts, emit detritus and die in environments, and by doing all these things, modify at least some of the natural selection pressures present in their own, and in each other’s, local environments. This role for phenotypes in evolution is called niche construction (Odling-Smee, 1988).

Niche construction should be regarded, after natural selection, as a second major participant in evolution. Niche construction is a potent evolutionary agent because it introduces FEEDBACK into the evolutionary dynamic.

Ecosystem control is one major new idea associated with the ecological effects of niche construction. It stems from the capacity of niche-constructing organisms to modify not only their own environments but also the environments of other organisms in the context of shared ecosystems.

In order for niche construction to be a significant evolutionary process, it is not sufficient for niche-constructing organisms to modify one or more natural selection pressures in their local environments temporarily, because whatever selection pressures they do modify must also persist in their modified form for long enough, and with enough local consistency, to be able to have an evolutionary effect. Where niche construction affects multiple generations, it introduces a second general inheritance system in evolution - an ecological inheritance (Odling-Smee 1988; Odling-Smee et al. 1996) - one that works via environments.

Genetic inheritance depends on the capacity of reproducing parent organisms to pass on replicas of their genes to their offspring. Ecological inheritance, however, does not depend on the presence of any environmental replicators, but merely on the persistence, between generations, of whatever physical changes are caused by ancestral organisms in the local selective environments of their descendants. Thus, ecological inheritance more closely resembles the inheritance of territory or property than it does the inheritance of genes.

Ecological inheritance also has a lot in common with the more familiar concept of ecological succession, except that it has evolutionary, as well as ecological consequences because it involves the inheritance by populations of modified natural selection pressures, via a succession of environmental states,which may then drive further evolutionary changes in those populations.

Any organism’s selective environment is potentially modifiable by any other organism that happens to be a neighbor or that shares, or that has previously shared, some common physical aspect of a mutual environment or that is capable of exerting an indirect influence by affecting the flow of energy or materials through that environment. All such neighbors are ecologically related but they need not be genetically related.

If organisms evolve in response to selection pressures modified by themselves and their ancestors, there is feedback in the system.

The niche-construction perspective stresses two legacies that organisms inherit from their ancestors, genes and a modified environment with its associated selection pressures. Ecological and genetic ancestors are not necessarily identical.

When phenotypes construct niches, they become more than simply “vehicles” for their genes (Dawkins 1989). Animal niche construction may depend on learning and other experiential factors, and in humans it may depend on cultural processes.

Niche-constructing organisms influence the evolution of their own and other populations, often indirectly via intermediate abiotic components. Some organisms create new niches for themselves, for example, through technological innovation or relocation to a novel environment, which again can influence the dynamics of their ecosystems.

When niche construction is incorporated, information can be seen to flow through ecosystems, and evolutionary control webs begin to emerge. Human cultural activities may influence or may actually be human adaptations, or be the result of other human adaptations, cultural processes may also influence human fitness. Cultural processes are not just a product of human genetic evolution, but also a cause of human genetic evolution.

This niche conception can be related with the affordance ideas:

Chemero (2000) suggests that events are changes in the layout of affordances in the animal-environment system.

Heft (2003) writes: We engage a meaningful environment of affordances and refashion some aspects of them…These latter constructed embodiments of what is known—which include tools, artefacts, representations, social patterns of actions, and institutions—can be called ecological knowledge. Perceiving the affordances of our environment is the first order experience that is manifested in the flow of our ongoing perceiving and acting. By first order experience Heft means experience that is direct and unmediated. We are simply immersed into situated doing and being.

h1

Planning the course: Hybrid ecology of narratives

April 6, 2008

Last week we had several meetings in Tallinn and Helsinki among our core group to prepare the Hybrid ecology book: Anatole Pierre Fuksas, Mauri Kaipainen, Pia Tikka and myself. We plan entwined research activities and course with master students to give the ideas a better go.

We met in Helsinki at Pia’s and Mauri’s place to discuss the planned course in fall 2008 at the Tallinn University about Hybrid ecology of narratives. The planned master level course will be one of the testing grounds of the book ideas.

The main interest is to see how hybrid ecology evolves on the basis of traced clues in the virtual and real places. We plan the course activities partly as a field experiment, where students participate in planning, acting and analyzing data.

The initial story will be hidden locatively using new media based clues, and remains unknown to the students until the end of the experiment. The story may be either fictional narrative, commonly known to some extent to the participants, a film-based narrative, a social narrative based on the emotional perspectives of some real events, or even a crime story.

An interesting article about Literary places:

David Herbert 2001
Literary places, tourism and the heritage experience, in «Annals of Tourism Research», 28, pp. 312-333

The group of students, investigating this story with mobile technology and preferred reflection tools (eg. micro-blogging in Twitter, blogging or wiki tools), will be given the common starting point of the story from where they can continue guessing the storyline and building up their own reflections. They are supposed to continue the story with the necessary artifacts left into the virtual overlay of real places.

Such an activity is based on enaction: finding action and meaning-related clues in the real places, taking action or being emotionally involved by these clues, and contributing to the environment accordingly.

The initial story is embodied and enacted differently by each participant. Thus it would be possible to see how the enacted emotions and actions dynamically shape the hybrid ecology.

In the process of enaction the involved people get traces of each others’ actions and emotions, and their interpretations of the story. Such enaction based locative awareness calls for more involvement, and may lead to the interaction between participants and the formation of the enactive clusters around the locative story.

Such hybrid places, where stories can be embodied and enacted, have many dimensions depending of the users. These dimensions will appear and can be made visible if different content was locatively tagged by the users with soft ontology means either embodied knowledge based, that involves clues to the accompanied emotions and actions, or knowledge based, which involves our systems of activated concepts.

If participants have access to such soft ontological dimensions of the hybrid ecology, they can interact more. Also, besides the locatively situated artifacts, triggering their action and emotions, the ontological dimensions as whole will be perceived and enacted accordingly.

The tools that can be used at this course are locative maps (eg. Googlemaps), social software (Flickr, Youtube, blogs, wikis, microblogs) and analytical tools what enable to locatively tag embodied knowledge and select meaning or action perspectives withing the hybrid ecology (Montagemaker, Soft ontology tool etc.).

What is interesting in this experiment from the research point of view:
- due to embodied cognition and person-specific enaction different stories would emerge from the clues of the one initial story
- monitoring the hybrid ecology as an evolving system
- the rise of different meaning and activity spaces within the hybrid ecology that call for the formation of the communities of enaction
- persons as hybrid and distributed selves within hybrid ecology: interrelations between persons, their action traces, meaning-making traces, and various parallel dimensions of the hybrid ecology.

Some interesting ideas:
- not linear narratives with start and end but branched stories with many ends
- searching for someone, while also making side trips
- narrative as a quest game
- storylines and crossing path with characters
http://johnitc.wordpress.com/2007/10/24/digital-locative-storytelling/

h1

session about activity patterns and affordances when learning in web 2.0

April 1, 2008

There will be the session “Activity patterns and affordances” during the “e-Uni 08 conference” in Tallinn (03.04.08 17.00–18.30). Conference video: Mis on tegevusmustrid ja lubavused.

1. Tegevusmustrid ja õpimaastikud e-õppes
Kai Pata, Kairit Tammets, Terje Väljataga

1. Activity patterns and learning landscapes in e-learning

Tutvustame tegevusmustrite elemente /tegevuste rühmi/ (nii LMS süsteemidest kui ka sotsiaalsets tarkvarast pärit näited). Kaks vaadet õpitegevusele: õpimaastik ja tegevusmuster. Miks on vaja õppijatele sotsiaalse tarkvara keskkonnas õpetada õpimaastiku koostamist ja seal tegevusmustrite planeerimist, näited kuidas õppijad muudavad oma vaadet õpitegevuse vahenditele, õpimaastikule. Tarkvara lubavused on õppijate jaoks erinevad, näited. Kuidas mõjutab õppijakeskne lubavuste erinevuse arvestamine õpikeskkonna ja õpitegevuse disaini.

The elements of activity patterns (activity types) will be introduced, using examples from LMS systems, as well as, social software. Two views to the learning activities: learning landscape and activity pattern will be discussed. Why learners need conceptual tools to construct their activity pattern and learning landscape diagrams, examples from e-learning courses. What are learning affordances and how they are integrated with the learning landscapes and activity patterns, examples from learner-perceived affordances at social-software based e-learning course. Considering learner-defined affordances calls for new Learning environment and activity design model in e-learning.

2. Töövookeelte kasutamine õppimise ja õpetamise protsesside kirjeldamiseks
Priit Tammets

Using the workflow language to describe learning and teaching processes

Tegevusmustrite kirjeldamiseks on vaja formaliseeritud töövookeelt. Tutvustatakse varasemaid töövookeeli ja nende eesmärke (IMSLD, LAMS jt.). Miks on vaja luua uus pedagoogiline töövookeel ja kuidas seda saab rakendada õpikeskkonna ja õpitegevuste disainis. Töövookeele elemendid ja konkreetsed kasutusnäited sotsiaalse tarkvara keskkonnas.

To describe activity patterns, the formalized workflow language could be used. Some attempts to establish the language elements and standards for describing workflows (IMSLD, LAMS etc.), and the aims of using such languages in e-learning will be discussed. Why new pedagogical workflow language is needed and how could it be used as the tool in the learning environment and learning activity design? What are the elements of pedagogical workflow language, examples of using workflow language for describing learning activities in social software environment.

3. Narrative encoding of Activity Patterns in New Media (ingliskeelne)
Narratiivsete tegevusmustrite kodeerimine uus-meedia keskkonnas
Anatole Fuksas
University of Cassino

Lubavused uus-meedia tekstides võimaldavad lugejal luua enda jaoks teksti lugemisel erinevaid tegevusmustreid. Tutvustatakse mitmeid uusmeedia narratiivseid hübriidses keskkonnas toimuvaid tegevusmustreid, mida algatavad näiteks mikroblogimine kui raamatu kirjutamine, reisiraamatud blogides koos geograafilise kohaga seotud artifaktidega jt. näited.

The reader-specific activation of affordances in new-media texts enables people to trigger different activity patterns. Some narrative-related activity patterns in new-media environments will be discussed (eg. writing books in micro-blogging environment, locatively embedded travel itineraries etc.)