digital storytelling & the narrative & computing education

22
Käyttäytymistieteellinen tiedekunta 21 - DIGITAL STORYTELLING WITH DATA STRUCTURES & ALGORITHMS 18.9.2017 1 storytelling&algorithms vivitsou&korhonen

Upload: marianna-vivitsou

Post on 21-Jan-2018

60 views

Category:

Education


0 download

TRANSCRIPT

Käyttäytymistieteellinen tiedekunta

21-DIGITAL STORYTELLING WITHDATA STRUCTURES & ALGORITHMS

18.9.2017 1storytelling&algorithms vivitsou&korhonen

Käyttäytymistieteellinen tiedekunta

Integrating technology-enhanced teaching methods to a HigherEd Computing course

DATA STRUCTURES & ALGORITHMS WITH DIGITAL STORIES

18.9.2017storytelling&algorithms vivitsou&korhonen 2

Ari Korhonen & Marianna VivitsouAalto University & University of Helsinki

Käyttäytymistieteellinen tiedekunta

21C-DIGITAL STORYTELLING @ANALYSISPatterns of/in narrative

e.g., Fiction/non-fiction/documentary (genre studies)

Placed in Cultural/historical context (:relevance)

Approaches to story in films: semiological/object-oriented (what are the structures underlying

expression)(Post-theory): Specific problems require specific solutions: narrative &

understanding & development & emotional engagement

18.9.2017 3storytelling&algorithms vivitsou&korhonen

Käyttäytymistieteellinen tiedekunta

QUESTION SEEKING RESPONSE

18.9.2017storytelling&algorithms vivitsou&korhonen 4

How do we construct the narrative in computing?

Who do we tell our story to and what for?

What channels fit best to our digital stories?

Käyttäytymistieteellinen tiedekunta

WHAT MAKES A STORY?

• The dimensions of the Story• Narrative: chains & sequences of events

‒Characters, setting, chain of events ‒What devices we use to tell a story, e.g., metaphors, similes,

personifications (think of fairy tales: e.g., the stepmother in Snow white, the mirror in Alice, the pumpkin in Cinderella)

‒ When a story moves from one medium to the other, the plot (or discourse) changes, while the story remains largely unchanged (Chatman 1980)

• Style: how the story is filmed, shot & edited, what sound effects are used etc.

• The audience: real & imagined

18.9.2017storytelling&algorithms vivitsou&korhonen 5

Käyttäytymistieteellinen tiedekunta

CS@THE NARRATIVE I

• Where do we NOT find narrative? • Documentaries, animated films, experimental & avant garde, short films,

our lives? (they exist even if we are NOT aware of them ...) • The narrative has a purpose even if it looks purposeless, or absent

• Propose/enunciate an idea, a dialogue, a new product • It has a structure even if it is a paradox• It takes some degree of technique

• Setting, plot, perspective, theme/message, characters

18.9.2017storytelling&algorithms vivitsou&korhonen 6

Käyttäytymistieteellinen tiedekunta

CS@THE NARRATIVE II

18.9.2017storytelling&algorithms vivitsou&korhonen 7

“…The programmer, like the poet, works only slightly removed from pure thought-stuff. He builds his

castles in the air, from air, creating by exertion of the imagination.

Few media of creation are […] so readily capable of realizing grand

conceptual structures…”

Fred Brooks

Käyttäytymistieteellinen tiedekunta

CS@THE NARRATIVE III

18.9.2017storytelling&algorithms vivitsou&korhonen 8

Data types as characters their definition creates the diegesis (the

“world” of the story)their complexity is that of the storypolymorphism: same stimuli bring

different responses

pure diegeses: computer games

real life as pure diegesis: e.g, the banking world

Ch. Papadimitriou https://youtu.be/RPKzF2tFgfs

Käyttäytymistieteellinen tiedekunta

@THE NARRATIVE ARC

climax

resolution

exposition

18.9.2017storytelling&algorithms vivitsou&korhonen 9

Constructing an audience Message: addressor – addressee

• Author, narrator, technology user

• With a community in mind

•an imagined community assumes an

imagined identity

Text-based and video-based storytelling is a space where narrative practices meet with pedagogical goals in the process of authoring the self as narrator and networked user in encounters online

10

Käyttäytymistieteellinen tiedekunta

STORYTELLING & INTERPRETATION

18.9.2017storytelling&algorithms vivitsou&korhonen 11

While authoring narratives

& engaged with

symbolic work

Käyttäytymistieteellinen tiedekunta

HOW WE INTERPRET MATTERS

18.9.2017storytelling&algorithms vivitsou&korhonen 12

“Algorithms are not

neutral. Algorithms

do not function

apart from people”

T. Gillespie

Käyttäytymistieteellinen tiedekunta

DIGITAL STORYTELLING 3.0

18.9.2017storytelling&algorithms vivitsou&korhonen 13

https://www.youtube.com/watch?v=gOKVwRIyWdg&feature=youtu.be

What is the purpose

underlying the choice

of these time stamps

09: 23

10: 46

14: 02

15: 00

Käyttäytymistieteellinen tiedekunta

POSSIBLE WAYS TO TELL A @DSTORY

18.9.2017storytelling&algorithms vivitsou&korhonen 14

https://www.youtube.com/watch?time_continue=6&v=HRzg0SzFLQQ

What are the elements

underlying the

storytelling here?

Think of:

Style, audience, channel

Käyttäytymistieteellinen tiedekunta

OTHER POSSIBLE WAYS TO TELL A @DSTORY

Example interview @google

https://www.youtube.com/watch?v=XKu_SEDAykw

The fastest way

https://www.youtube.com/watch?v=WaNLJf8xzC4&feature=youtu

.be

18.9.2017storytelling&algorithms vivitsou&korhonen 15

Käyttäytymistieteellinen tiedekunta

& MORE POSSIBLE WAYS TO TELL A @DSTORY

18.9.2017storytelling&algorithms vivitsou&korhonen 16

• The element of sound

• Or about the style of digital

storytelling

https://edvisto.com/story/BD5

aMzDz

https://www.youtube.com/wat

ch?v=WXtiUeAYC0c

Käyttäytymistieteellinen tiedekunta

TYPES OF DIGITAL STORIES

18.9.2017storytelling&algorithms vivitsou&korhonen 17

Käyttäytymistieteellinen tiedekunta

THE PRACTICAL OF @DSTORYTELLING

Timelines

Deliverables

Submissions

Deadlines

https://plus.cs.h

ut.fi/a1141/2017

/k02/project/

18.9.2017storytelling&algorithms vivitsou&korhonen 18

Criteria

Content learning

Social skills

Sharing with

audiences

Originality

Multi-literacies

Käyttäytymistieteellinen tiedekunta

EVALUATION: HORIZONTAL & VERTICAL

18/09/2017Kallunki, Vivitsou and Niemi 19

1 2 3 4 5

Content learning skills (topic/question/task: Relevance)

The DS shows limited understanding of the topic/question/task. There is no clearevidence about how thetopic and the story relate.

Only some aspect of the topic is discussed in the DS. Basic connections between concepts are presented.

The DS presents relevant concepts and connections between them. Concepts are described in a detailed way.

The DS clearly shows the connection between concepts by paralleling, comparing and evaluating them. Also explanations and searches for relations between concepts are included.

The DS shows many-sided understanding in describing the topic, as well as skillful use of concepts and their connections. Storytellers also describe hypotheses and generalizations about the topic. Performance is creative and insightful.

Käyttäytymistieteellinen tiedekunta

OPENING UP THE PROJECT WORK!

18.9.2017storytelling&algorithms vivitsou&korhonen 20

Käyttäytymistieteellinen tiedekunta

CHANGING THE SCRIPT?

18.9.2017storytelling&algorithms vivitsou&korhonen 21

It matters to know more about our virtual selves as authors, narrators and computer users

It targets meaningful communicative practice

Idealized view of the popular culture

Popular networking practices

Digital stories can change the ritual in education

Käyttäytymistieteellinen tiedekunta 18.9.2017storytelling&algorithms vivitsou&korhonen 22

THANK YOU FOR YOUR ATTENTION!

TECHNOLOGY IS ABOUT A GOOD STORY

NARRATIVE IS ABOUT A POWERFUL STORY