Category Archives: LDT – GSE – Stanford

Lytics Seminar – Week 2 – Class Notes

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Good class. Went over research terminology and talked in pairs about each term to clarify any missconceptions. My pair was Anita Tseng, who is doing some very intersting research on common scientific misconception on the internet and social media.

Quick exercise we did in class… write down our own research goal and discuss with our partners based upon it.

My Research Goal

  • To understand what are the best practices an instructor should use to create online courses.

(to do… go through Candace’s slides to evaluate my research question)

Brazilian Education – Week 2 – Class Notes

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During class we had the pleasure of hearing Prof. Ulisses Araújo, Director of USP’s Research Center for New Pedagogical Architectures, talk about his work around the “Challenge of Quality Education in Brazil: Technologies and Active Learning Methods as an Answer”. I was honored with the task of being his discussant during the Q&A session.

Prof. Ulisses also suggested to share the following articles that were closely related to the talk:

  • O uso de tecnologias educacionais na formação de professores para conteúdos de ética e cidadania: o curso de Especialização semipresencial em Ética, valores e cidadania na escola.
    International Studies on Law and Education, v. 19, p. 37-46, 2015.
    ARAUJO, U. F. ; GARBIN, M. C. ; FRANZI, J. ; ARANTES, V. A. ; SILVA, C. O.
    Ler artigo

  • The reorganization of time, space and relationships in school with the use of active learning methodologies and collaborative tools.
    ETD. Educação Temática Digital, v. 16, p. 84-99, 2014.
    ARAUJO, U. F.; FRUCHTER, R.; GARBIN, M. C. ; PASCOALINO, L. N. ; ARANTES, V. A.
    Ler artigo

Presentation Notes:
(bold = questions I asked)

  • First true pure online university in Brazil
    • What are the affordances, advantages of being purely online?
      • What are the disadvantages?
  • Education has been historically a ONE-TO-ONE relationship
    • 19th century – classroom is ‘invented’ for the masses
      • Defines the architecture of education
      • Homogeneous
    • 3d revolution of education
      • Universalization
      • Inclusion of all differences in the classroom
  • Need homogeneous classrooms
    • How do you do that without creating an even wider gap in equity?
  • Lower the cost of education
    • Books are more expensive to produce than an online course?
  • Bringing new tools into education
    • Is there a resistance in the academic world to adopt open platforms or even ‘foreign’ technology?
  • Guiding principles
    • Problem and Project-Based Learning
      • Projects are defined by the cohort – a technique to scale up knowledge
      • Design Thinking – without implementation

Lytics Seminar – Week 2.1 – Reading Notes

The Research Methods Knowledge Base: 3rd edition by William M.K. Trochim and James P. Donnelly. Chapter 1

  • 1-1 The Language of Research
    • 1-1a Types of Studies (Cumulative)
      • Descriptive
      • Relational: two variables
      • Causal: most demanding
        • Evidence-based practice
    • 1-1b Time in Research
      • Cross-sectional – single point in time
      • Longitudinal studies – over time
        • Repeated measures
          • Two or a few waves of measurement
        • Time series
          • Over 20 waves of measurement
    • 1-1c Type of Relationships
      • Simple correlational relationship – act in synchrony
      • Causal relationship – one explains another
      • Third-Variable problem – something else which affects both variables
      • Patterns
        • No relationship
        • Positive relationship
        • Negative relationship
    • 1-1d Variables
      • Attributes
      • Dependent / Independent
      • Exhaustive: holds all possible values
      • Mutually exclusive: employed, not employed + 2nd job
    • 1-1e Hypotheses
      • Prediction, in concrete terms
      • Not all research has a hypothesis – exploratory
      • Alternative hypothesis
      • Null hypothesis
      • One-tailed hypothesis
    • 1-1f Types of Data
      • Quantitative & Qualitative
        • “All quantitative data is based upon qualitative judgements; and all qualitative data can be described and manipulated numerically.” (Trochim & Donnely, 2006)
    • 1-1f The Unit of Analysis
      • Individuals, Groups, Artifacts, Geo, Social
    • 1-1h Research Fallacies
      • Ecological fallacy – group stereotyping
      • Exception fallacy – one does not represent the group
  • 1-2 Philosophy of Research
    • 1-2a Structure of research
      • Hourglass shape – broad area of interest to measurement and observation to generalize back to question

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      • Components of a study
        • Research problem
        • Research question
        • Program (cause)
        • Units
        • Outcomes (effects)
        • Design
    • 1-2b Deduction and Induction
      • Deductive
        • More general to more specific
        • Top-down approach
      • Inductive
        • From specific to general
        • Bottom-up approach
    • 1-2c Positivism and Post-Positivism
      • Epistemology – philosophy of knowledge
      • Methodology – how
      • Positivism
        • Empiricism – Knowledge as only what could be observed and measured
        • Deterministic
        • Deductive reasoning
      • Post-Positivism
        • Theoretical reasoning & experience-based evidence
        • Probabilistic
        • Critical realism
          • External reality
          • Never accurate (critical)
        • Subjectivist
          • World is solely a creation of your mind
        • Constructivist
          • Reality is a conceptual construction
        • Evolutionary epistemology or natural selection theory of knowledge
          • Ideal have survival value
          • knowledge evolves through a process of variation, selections, and retention (evolution)
    • 1-2d Validity
      • Best available approximation to the truth of a give proposition, inference, or conclusion
      • “Validity of what?”

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      • Four types
        • Conclusion
          • Is there a relationship between cause and effect?
        • Internal
          • Is the relationship causal?
        • Construct
          • Can we generalize to the constructs?
          • Cause Construct
            • Your theory about the cause in a cause-effect relationship
          • Effect Construct
            • Your theory what the outcome is in a cause-effect relationship
        • External
          • Can we generalize to other persons, places, or times?
      • Threat to Validity
        • Reasons why your conclusion or inference might be wrong
      • Conclusion Validity
        • The degree to which your conclusions about relationships in your data are reasonable
  • 1-3 Ethics in Research
    • 1-3a The Language of Ethics
      • Voluntary participation
        • Make sure there is no coercion to participate
      • Informed consent
        • Information about procedures and risks involved
      • Confidentiality
        • Their personal/individual information or identity will not be released beyond the scope of the study
      • Institutional Review Board (IRB)
        • Panel who reviews research proposals with respect to ethical implications
  • 1-4 Conceptualizating
    • Concept Mapping
      • 2D graphs of a group’s ideas – used to develop conceptual framework for a research project
    • 1-4a Problem formulation
      • Comes from practical problems in the field
      • Request for Proposals (RFP)
      • Feasibility
      • Literature Review
    • 1-4b Concept mapping
      • Pictorial representation of ideas
      • Steps:
        • Preparation
        • Generation
        • Structuring
        • Representation
        • Interpretation
        • Utilization
    • 1-4c Logic models

Nathan, M., & Alibali, M. (2010). Learning sciences. WIREs Cognitive Science.  DOI: 10.1002/wcs.54

Engineering Education – Week 2.1 – Reading Notes

Brazilian Education – Week 4 – Class Notes

UnknownThis week we had a wonderful talk by Kathryn Moeller, Assistant Professor University of Wisconsin, Madison on “The Logic and Consequences of U.S. Transnational Corporate Funding of Girls’ Education in Brazil”

She talks about Nike’s program called “The Girl Effect” which attempted to help underprivileged girls, and then suddenly stopped the program… and it seemed like they just wanted to tell these girls  not to get pregnant, so that they could be used in the labor market…

The initiative is now a standalone program that has no more ties with Nike… here’s the very well polished video they came up with to get some initial attention and funding:

Engineering Education – Week 2.1 – Class Notes

Final group is set with Camila and James. Rodrigo dropped the course unfortunately. Had our co-teacher Chris Bennett, expert in game design lead the intro session of the “core loop” as we did in the Fall quarter pop-up session.

Here are a couple of interesting links about CoreLoops:


gameatoms_Loop.pngAP6_sceloop.png
We played a very interesting game called ‘Cat On Yer Head‘ where one person was was the ‘cat’ and another was the ‘mouse’. Each person had to repeatedly say cat or mouse aloud. You can transfer the cat or mouse by tapping on someonelses shoulders. The aim is to catch the mouse. 

Talked about the MDA+Outcomes Approach:IMG_2597

Core Loop:IMG_2598

Grand finalle by Candace:IMG_2599

 

Internship – Week 2.1 – Notes

Did my Monday 2 hours worth of work but felt it was not extremely productive in terms on continuity. To be fair the last 40 mintues were with Grace going over what I’ve done before. Going to stick to the schedule this week to test it out and maybe change to 3 hour chunks… let’s see.

In any case, going down the To Do list and starting to get more hands-on and actually creating some minor peices of content.

LDT Admit Day

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Volunteered this morning to be part of the “Welcome Comitee” during Admit Day for the the new LDT cohort. The event serves as an opportunity for those students who have not yet decided if they will accept their offer from Stanford yet, or simply for those who want to meet others who might come to the program.

Made me reflect briefly on how much I have learned since the start in late September, 2015. It is actually so much more than I expected… I really didn’t know how much I didn’t know… how vast the educational and learning science fields are… how many niche areas exist… how efervescent this market is in the Bay Area…

Very exciting for the new cohort – such a pitty that we don’t have a chance to meet all of them or oficially work or have classess together.

 

Engineering Education – Week 2.1 – Summary

Readings:

  1. Hunicke, R., LeBlanc, M., & Zubek, R. (2004, July). MDA: A formal approach to game design and game research. In Proceedings of the AAAI Workshop on Challenges in Game AI (Vol. 4, p. 1).
  2. Schell, J. (2014). The Art of Game Design: A book of lenses. CRC Press.

Summary:

I’ve developed mobile apps in one form or another for the past 16 years – from WAP to iOS. These apps were mostly utilitarian and far removed from games. Considering how creating a great user experience was complex and challenging, I’ve always said that games is the most daunting task a development team can undertake. From a technical standpoint, the numbers of variables, mechanics, and rules are enormous and all interconnected. From a creation standpoint, one must envision a whole set of complex interactions between the user and the interface. From a design standpoint, it has too look great!  On top of that, you must take into account the emotional nature of the user interaction with the game. All this requires skills and knowhow that only comes with years of practice – just like teaching.

The readings were extremely helpful in organizing and categorizing some of the considerations, possibilities, and methodologies required when creating a game. The MDA Framework shows how the interaction path of the game developer and the player is opposite, illustrating one of the complexities and iterative nature the game design process can be.

Screen Shot 2016-04-03 at 5.38.55 PMMethod |  Dynamic | Aesthetic

Schell then expands the arsenal by walking us through the several possible lenses we can look at games, the players, their interactions, and even how to improve them. The level of detail we can go into when looking at games is amazing.

How might we new apply these frameworks, insights, and mechanics to education? Can we gamify teaching? If we look at education as a game, could we create better learning experiences for the teacher, the learner, and society? All I know is that we must keep playing this ‘game’ of education, continuously trying to overcome obstacles, making it better, more efficient, and more effective. Can we ever win? We certainly cannot lose.

Engineering Education – Week 2.1 – Reading Notes

Hunicke, R., LeBlanc, M., & Zubek, R. (2004, July). MDA: A formal approach to game design and game research. In Proceedings of the AAAI Workshop on Challenges in Game AI (Vol. 4, p. 1).

  • Mechanics, Dynamics, and Aesthetics (MDA) Framework
    • Formal approach to understanding games
    • Facilitate the conversation between developers, scholars, and researchers.
    • Bridge the gap between game design and development, game criticism, and technical game research
  • Components:
    • Mechanics describes the particular components of the game, at the level of data representation and algorithms.
    • Dynamics describes the run-time behavior of the mechanics acting on player inputs and each others’ outputs over time.
    • Aesthetics describes the desirable emotional responses evoked in the player, when she interacts with the game system.

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  • Games
    • More like artifacts than media
    • Purchased, used, and then cast away – consumable product
    • “From the designer’s perspective, the mechanics give rise to dynamic system behavior, which in turn leads to particular aesthetic experiences. From the player’s perspective, aesthetics set the tone, which is born out in observable dynamics and eventually, operable mechanics.” (Hunicke, LeBlanc, & Zubek, 2004, p.2)

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  • Aesthetic Models
    • Sensation: Game as sense-pleasure
    • Fantasy: Game as make-believe
    • Narrative: Game as drama
    • Challenge: Game as obstacle course
    • Fellowship: Game as social framework
    • Discovery: Game as uncharted territory
    • Expression: Game as self-discovery
    • Submission: Game as pastime

Schell, J. (2014). The Art of Game Design: A book of lenses. CRC Press.
(Read Chapter 8 Psychographics section & Chapter 10: Mechanics 1-5)

Chapter 8 – Psycographics

  • Demographics : Psychographics
  • LeBlanc’s Taxonomy of Game Pleasures
    • Sensation: using your senses
    • Fantasy: using your imagination
    • Narrative: sequence of events
    • Challenge: problema to be solved
    • Fellowship: social
    • Discovery: pleasure of new things
    • Expression: expresse your self / customize characters
    • Submission: leave one world, go to another, submit to its rules
  • Bartle’s Taxonomy of Player Types
    • Achievers -> Challenge.
    • Explorers -> Discovery.
    • Socializers -> Fellowship.
    • Killers -> not well mapped… competing, defeating others, imposing themselves on others, helping others
  • Not all inclusive: “destruction” and “nurturing” not well mapped for example

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  • Pleasures to be considered
    • Anticipation
    • Delight in another’s misfortune
    • Gift Giving
    • Humor
    • Possibility
    • Pride in Accomplishment
    • Purification
    • Surprise
    • Thrill
    • Triumph over Adversity
    • Wonder
      • and the list goes on…
  • Lens #17: The Lens of Pleasure
    • Questions to ask yourself:
      • What pleasures does your game give to players? Can these be improved?
      • What pleasures are missing from your experience? Why? Can they be added
    • Ultimately, the job of a game is to give pleasure.

Chapter 10

  • Mechanic 1: Space
    • Game spaces
      • Are either discrete or continuous
      • Have some number of dimensions
      • Have bounded areas which may or may not be connected
    • Examples
      • Tic-tac-toe
      • Connected areas
      • Nested spaces (Indoor / Outdoor)
      • Zero dimensions (question/answer games)
    • Lens #21: The Lens of Functional Space
      • Space with no surface elements
      • Questions:
        • Is the space of this game discrete or continuous?
        • How many dimensions does it have?
        • What are the boundaries of the space?
        • Are there sub-spaces? How are they connected?
        • Is there more than one useful way to abstractly model the space of this game?
  • Mechanic 2: Objects, Attributes, and States
    • State machine
    • Secrets
      • A: completely public
      • B: 2 & 3 know, 1 does not
      • C: only 1 knows
      • D: games knows, not players
      • E: randomly generated information (Fates, God, etc.)Untitled.001.png
    • Lens #22: The Lens of Dynamic State
      • What information changes during game and who is aware of it
      • Questions:
        • What are the objects in my game?
        • What are the attributes of the objects?
        • What are the possible states for each attribute? What triggers the state changes for each attribute?
        • What state is known by the game only?
        • What state is known by all players?
        • What state is known by some, or only one player?
        • Would changing who knows what state improve my game in some way?
  • Mechanic 3: Actions
    • Operative actions: move checkers forward
    • Resultant actions: protect another checker
      • Very strategic
      • Not part of the rules per se
      • “Most game designers agree that interesting emergent actions are the hallmark of a good game.” 

    • Planting seeds of emergence
      • Add more verbs: related operative actions, but don’t overwhelm user
      • Verbs that can act on many objects: shot not only enemie, but other things
      • Goals that can be achieved more than one way
      • Many subjects: not only one chekcers, many
      • Side effects that change constraints: checker’s move changes gamespace
    • Lens #23: The Lens of Emergence
      • Questions:
        • How many verbs do my players have?
        • How many objects can each verb act on?
        • How many ways can players achieve their goals?
        • How many subjects do the players control?
        • How do side effects change constraints?
      • Stories vs Games
        • Endless possibilites vs. limited actions
      • Allow for all verbs
        • Massively multiplayer games: Second Life
    • Lens #24: The Lens of Action
      • What players can do, what they can’t, and why.
      • Questions:
        • What are the operational actions in my game?
        • What are the resultant actions?
        • What resultant actions would I like to see? How can I change my game in order to make those possible?
        • Am I happy with the ratio of resultant to operational actions?
        • What actions do players wish they could do in my game that they cannot? Can I somehow enable these, either as operational or resultant actions?
  • Mechanic 4: Rules
    • Most fundamental mechanic
    • Rules:
      • Operational: what can you do in the game
      • Foundational: inform operational rules
      • Behavioral: unwritten rules of good sportsmanship
      • Written: no ones reads them -> in-game tutorials
      • Laws: tournament rules
      • Official: merge written rules with the laws
      • Advisory: tips on game mechanics
      • House: feedback, adaptation of gameplay to contextUntitled.001.png
    • Modes
      • Rules change in different modes
    • The Enforcers
      • Traditional games: players themselves
      • Computer games: the game
    • The Most Important Rule
      • Rule that is at the foundation of all others
      • The Object of the Game: explained simply and clearly
      • Chess
        • “Capture the opponent’s King”
      • Good Goals
        • Concrete
        • Achievable
        • Rewarding (look at Lens of Pleasure)
    • Lens #25: The Lens of Goals
      • Appropriate and well-balanced
      • Questions:
        • What is the ultimate goal of my game?
        • Is that goal clear to players?
        • If there is a series of goals, do the players understand that?
        • Are the different goals related to each other in a meaningful way?
        • Are my goals concrete, achievable, and rewarding?
        • Do I have a good balance of short- and long-term goals?
        • Do players have a chance to decide on their own goals?
    • Lens #26: The Lens of Rules
      • Look deep – most basic structure
      • Questions:
        • What are the foundational rules of my game? How do these differ from the operational rules?
        • Are there “laws” or “house rules” that are forming as the game develops? Should these be incorporated into my game directly?
        • Are there different modes in my game? Do these modes make things simpler, or more complex? Would the game be better with fewer modes? More modes?
        • Who enforces the rules?
        • Are the rules easy to understand, or is there confusion about them? If there is confusion, should I fix it by changing the rules or by explaining them more clearly?
    • Game design/invention process
      • Operational rules
      • Foundational rules
      • Written rules (end)
  • Mechanic 5: Skill
    • Skills
      • Physical Skills
      • Mental Skills
      • Social Skills
    • Real vs. Virtual
      • Player vs. Character
    • Enumerating Skills
    • Lens #27: The Lens of Skill
      • Look at the skills asked of players.
      • Questions:
        • What skills does my game require from the player?
        • Are there categories of skill that this game is missing?
        • Which skills are dominant?
        • Are these skills creating the experience I want?
        • Are some players much better at these skills than others? Does this make the game feel unfair?
        • Can players improve their skills with practice?
        • Does this game demand the right level of skill?