Thursday, July 10, 2014

Teaching

Summary of the lesson:


A number of studies in education indicate the existence of a significant impact on the value of the teacher on student performance in the short and long term (impact on revenues, enrollment in college, socioeconomic status 20 years later). We are talking about the so-called "teacher effect". But the extent of this effect raises doubts (projects are underway to develop more sophisticated measures, including quantitative and qualitative) and no explanatory theory can account of it satisfactorily. 
Educational research has also dedicated much attention to cooperative learning (Slavin, 1996). It seems that group learning has positive effects on learners. But different forms of group learning are not all equally effective; also the positive effects do not affect each time the same results or the same classes of problems to solve. Finally, as in the case of the teacher effect, a satisfactory explanatory theory to account for the positive role of group work is still lacking. (the so-called "argumentative theory of reasoning purports to explain the effect, but takes into account only a particular  class of groups and problems to solve). Another known fact related to teaching is the tutoring effect, known in education as "2-sigma problem", since the study published in 1984 by Paul Bloom,  which shows the existence of a positive effect with 2 standard deviations tutoring 1: 1 compared to other forms of education. Although in this case the effect appears to be stronger and confirmed, we still found ourselves in the absence of a satisfactory explanatory theory. 

The question therefore arises of how to identify and characterize "good teachers" and effective teaching and to explain the effect that teachers seem to have on learning.

What makes a good teacher (or a bad one)? Is it only a matter of knowledge,  of mastery of the content taught? Of pedagogical knowledge (how to teach a certain content)? Or other cognitive qualities of the teacher count, too? 

Besides, we seem all to have intuitions about "what works in education", what learning is, and how to promote learning in others (teach). 

Do we have good insights on education? Can we trust them? Are there any teaching practices that would cons-intuitive yet effective? 

Cognitive science should be able to provide answers to these questions, and thus contributing to education, on the side of the teacher. But how?

First by demonstrating, as is the case for the naive theories of mind (folk psychology), the existence of naive theory of what learning and teaching (Strauss, 2001; Olson & Bruner, 1996). And by measuring their role and impact upon styles and strategies of teaching that are more or less effective. 
Then by studying in an objective, quantitative, experimental fashion the cognitive abilities involved in education: teacher cognition. 

It appears that this kind of studies is still relatively rare, and that available evidence is scattered among a variety of disciplines:

- Studies in the psychology of education, about teaching, teachers' training and teachers skills
- The debate on the specifics of cultural transmission and social cognition in humans (cultural learning) (Tomasello, Kruger, Ratner, 1993, Tomasello & Herrmann, 2010, Tomasello et al 2005, Herrmann et al, 2007). 
- Studies on social learning, imitation, the development of cooperation, in developmental psychology
- A recent a theoretical approach suggesting that teaching is a natural cognitive ability in humans(Strauss 2005, Strauss & Ziv, 2012)
- Studies on the different forms of social learning and cultural transmission among primates and other taxa (Byrne, 1996, Whiten 1999, 2000).

An turn point in the "history" studies about teacher cognition is represented by the functional definition of teaching made ​​by Caro & Hauser (1992), which extends the concept of education beyond the human and owning an explicit ToM and advanced metacognitive abilities and general "big brains", and paves the way to studies on teaching in different taxa (meerkats, ants tandem, ...) (Hoppitt et al 2006, Thornton & Raihani 2008 Thornton & McAuliffe 2006 Laland & Hoppitt 2003 and 2007 al Richardson, & Franks. , Richardson 2006). 
These studies contrast notably with the "traditional" approach to teacher cognition, which sees teaching as a specifically human capacity - a willing,  flexible, sophisticated form of transmission of knowledge, therefore based on ToM and metacognition (Olson & Bruner, 1996, Galef 1992 Premack & Premack 1994, 1996, Tomasello 1994, 1999). 

A further novelty in the panorama of the study of teacher cognition is represented by the theory of natural pedagogy (Csibra, 2007 Csibra & Gergely, 2006, 2009, 2011), which proposes the existence, in humans and humans only, a sort of instinct teaching, coupled with an instinct to learn from other cospecifics, based on a system of basic communicative signs and do not require reflection. 

The issue of the cognitive bases of education is therefore still open, and many questions await for an answer.

What skills are needed to teach? 
Are there different forms of teaching, which are based on a pool of different capacities? Eg education with advanced ToM, ToM education with basic education without ToM? 
Do children teach? Under which conditions? What are the cultural variants of education, within the human species?
Is there a specific form of "teaching disorder"? Are there cognitive disorders that are positively or negatively associated with the ability to teach (autism, psychopathy)? 

Why do we teach?  Is it an adaptation?  To what type of evolutionary problems this adaptation is meant to provide an answer? Is teaching an altruistic behavior that favors the learner at a cost for the teacher? Or are there cognitive or adaptive advantages in teaching that might have contributed to its evolution? 


For revising the lesson: 
  • Kline, M. (2014). How to learn about teaching: An evolutionary framework for the study of teaching behavior in humans and other animals - Preprint (to appear in BBS)
  • Skerry et al. (2013). The origins of pedagogy : Developmental and evolutionary perspectives. Evolutionary psychology, 11, 3, 550-572. 
Further readings:
  • Readings: Teaching

Educational technologies and smart objects

Summary of the lesson:

There can be many reasons for being concerned by technologies when discussing education. First of all, we live in what many policy-makers, philosophers, educators, describe in terms of a digital or information revolution. Does this mean that kids who are born in this post-informatic revolution world are automatically digitally literate? This inference is implicit in the use of the term “digital natives” introduced by Marc Prensky (2001), and by its opposition with the “digital immigrants”. If one thinks about it, the inference from digital natives to tech savvies has nothing automatic in itself: we are born in post-writing revolution, but literacy is still a matter of formal education. For the same reasons, being technologically literate is different from being able to use a keyboard or use apps. The idea that the new generation (digital natives, the net or google-generation) has a different attitude towards technology is, in a sense, trivial: they barely can figure out what it is to spend money for buying films and printing pictures taken by a camera; as the old generation barely understands what it is to go to a public phone place for placing a phone call, rather than calling from home.  But the idea that the new generation is naturally literate in what concerns the use of digital devices seems to be a technomyth. Several studies cited by a joint report of UCL and the British Library show that digital natives or “the Google generation” are not born good at efficiently searching the Internet, for instance. Not only they search by typing entire sentences (Google is not sensitive to sentences) and rarely use Boolean operators, but they continue to do that after years of practice. Searching the Internet gives the false impression of being such an easy task that no one seems to engage in the deliberate practices that is required in order to become experts in any domain, including the use of technologies.
Thus, if it is true that we live in a world where digital technologies have changed the way we work, do research, communicate, obtain information, get entertained, this does not mean that we are spontaneously able to take the best from technologies by acquaintance, or to avoid the risks by natural intuition. Quite the opposite, our intuition pushes us to take risks: to exchange with complete strangers (because socialization is a primary concern for humans), to accept with gratitude search results that match with our preferences (and comfort our confirmation bias), or to think that intuitive technologies are easy to use. The first domain that requires to be explored scientifically concerns the impact of technologies, and the debunking of techno-myths, including myths of radical transformation of the human mind. Indeed, the invasion of life by technology has produced strong claims about their effects on the human mind. The debate is often very ideologized and polarized and revolves around the “special skills” possessed by Generation Y or G, and the effects of technologies in terms of addiction, violence, boosted intelligence/induced dumbness. 

The second reason for discussing technologies in a course about education is that even if education is not the place where technologies are the most present (they are certainly not as present as in our workplaces, or in the most of our homes), technologies have been developed for education well before the diffusion of educational video games, electronic whiteboards, or even portable computers. In 1954, the psychologist F. B. Skinner had described a machine for teaching. The machine was to be distinguished from purely “passive” technologies such as audio-visual supports. The teaching machine was, just like a teacher, an interactive machine, and interaction was then considered as a crucial aspect of the process of learning and of education. The terms trough which Skinner described his teaching machine are much similar to what we can say today of computers and in general of digital technologies for education: they allow to personalize learning, reduce stress, enhance motivation, reinforce learning, and all this because they allow each student to follow her own rhythm and to receive immediate feedback. Just like a real teacher, in a tutoring condition.
Today’s teaching machines are more sophisticated, but they still resemble this description. Naturally, there are some remarkable differences. The question is: Do (modern) teaching machines work? 

Third, during the last decade some have moved from the idea of using technologies in education to the idea of transforming education because of what the observation of technology (namely video games) suggests about learning – e.g. of devising new methods for education that are inspired by the notion and the practice of gaming (Squire 2005, Halverson 2005, Gee 2005, Shaffer, 2005). These methods include the use of technology but not necessarily technology that has been designed for education. We are thus faced with the third reason for getting interested in technologies when dealing with education, which is: the validation of methods that exploit or are inspired by principles instantiated by digital technologies. This consideration concerns in particular video games and multi-media interactive technologies; e.g. GBL or Game-based learning preconizes the use of video games for teaching and learning because of their intrinsic pedagogical value.  The idea of “GBL” contains some inconsistencies and contradicts current knowledge about the generalization and transfer of acquired knowledge as well as the role of various formats of visual representations upon learning: even if games are for fun, if one has to play a game for learning, the game is no more just for fun;  the kind of learning that is proposed at school can hardly not be effortful because it concerns skills that do not come naturally to us;  it is affirmed that good games (video games) are motivating because they are concrete, multi-modal, interactive, and involve the player learner in first person actions. How can we prove these are real advantages for learning? 

For revising the lesson:



  • Bavelier, D., Green, C.S., Dye, M.W. (2010). Children, wired: for better and for worse. Neuron, 9, 67, 5, 692-701.
  • Casati, R. (2013). Contre le colonialisme numérique. Paris: Albin Michel. 
  • Pasquinelli, E. (2012). Irresistibili schermi. Fatti e misfatti della realtà virtuale. Mondadori Università.
  • Pasquinelli, E. (2012). Toute ressemblance ne saurait être que fortuite. Illusion de réalité, crédibilité et réalisme face aux nouveaux media. Paris: Vrin.
  • Pasquinelli, E. (2011). Les sciences cognitives jettent un pont entre éducation et jeux sérieux. Revue d'Intelligence Artificielle, 25, 2, 147-174. http://editions.lavoisier.fr/not.asp?id=3LKBX3A22O6OHK&rec=oui
  • Pasquinelli, E. (2012). Les jeux vidéo: du gâteau pour le cerveau. Revue Argos. http://www.educ-revues.fr/ARGOS/AffichageDocument.aspx?iddoc=44855
  • Pasquinelli, E. (2012). What Happens to infoteachers and infostudens after the information turn? In: Demir, H. (ed.), Luciano Floridi's philosophy of technology. Critical reflections. Springer. 
Further readings: 
  • Readings: Educational technologies and smart objects







Cognitive science and education: Can they truly connect?

Summary of the lesson:

For revising the lesson:


Further readings:


  • Readings: Cognitive studies meet education

Wednesday, March 5, 2014

Something more about teaching, please read after the final grades: helpful, maybe!



Here's a paper of psychologist Andrew Shtulman, Occidental College, telling his story about the undos of teaching he has established after having committed some mistakes. Especially true to me : the nightmare with grading!

E.

Wednesday, January 8, 2014

Something about teaching

Please have a look at these 2 pages : Teaching isn't rocket science. It's harder

The launch of STS-1 from pad 39A on April 12, 1981, carried astronauts John W. Young and Robert Crippen into a two-day Earth orbital mission.

Friday, August 2, 2013