Full Transcript

·YouTLDR

Conferencia: Pedagogías Emergentes con Gamificación, STEAM e IA

1:16:55EnglishTranscribed Jul 19, 2026
0:16

Well, greetings to everyone

0:19

from the PhD program in

0:21

Educational Sciences at the Pedagogical and

0:23

Technological University of Colombia. We are

0:26

broadcasting today from Tunja and with Rud

0:29

Colombia.

0:30

The conference is called

0:32

emerging pedagogies based on gamification,

0:34

steaming and generative artificial intelligence

0:36

in the framework of

0:38

higher education within the framework of the seminar

0:40

on pedagogical knowledge one that

0:43

I, Celina Triminio

0:45

Velázquez, am coordinating. Uh, this broadcast is

0:49

also being done here via

0:52

the Google

0:53

Meet platform and will be published on YouTube

0:57

later. Before we begin, I want to

0:59

thank the entire

1:01

administrative team of the PhD program at the Center for Education,

1:03

who also make these

1:06

activities possible. I would also like to thank Gina

1:08

Suun, a dedicated education student

1:11

who was also there in

1:13

conversation with Dr. Francisco Ruiz

1:15

Rey, who is your thesis advisor, and of

1:18

course Dr. Francisco Rey, who is

1:22

our special guest. He has been

1:24

in Tunja and at this moment he is

1:27

virtually from Malaga. He holds a PhD in

1:29

Educational Sciences from the

1:31

National University

1:33

of Distance Education of Spain (UNED) in

1:36

2011. He graduated in

1:39

Exalted Sciences from the University of Malaga in

1:42

1989. He is an expert in the use of the internet and

1:44

its

1:45

applications, a member of the

1:47

DUTtec evaluation panel, a member of the

1:50

Editorial Board of

1:52

Digital Journals, a tutor at INTEF, and a

1:55

permanent professor at the University of

1:56

Malaga in the department of didactics

1:58

in mathematics, didactics of

2:00

social sciences and experimental science.

2:03

member of the GT research group,

2:06

globalization, technology, teaching and

2:08

learning at the University of Malaga.

2:11

The research work focuses on the

2:12

effective implementation of the use of

2:14

new technologies in the classroom, having

2:18

relevant experience

2:20

in training teachers in the use

2:22

of web 2.0 tools, the

2:25

educational management of interactive digital whiteboards

2:27

and the use of

2:30

mobile devices together with the use of

2:31

intelligence in educational environments. The

2:34

researcher has regularly attended

2:36

conferences and congresses

2:38

related to educational technology, where he has

2:40

been a speaker and a collaborator in

2:42

expert panels. Furthermore, the

2:44

researcher has

2:46

articles, books and book chapters of an

2:48

educational nature. As I was saying, I

2:51

coordinate this seminar on

2:53

pedagogical knowledge and I am also the coordinator of the

2:55

study group on feminism, gender and

2:57

human rights at UPTC, which is one

2:59

of the support groups for the doctorate.

3:02

So, before giving the floor to

3:04

Dr.

3:05

Francisco, he will talk about

3:09

his presentation, his

3:11

lecture, after which there will be

3:13

a space for the audience in the

3:16

room, both doctoral and undergraduate students, to

3:19

participate, and then for those watching

3:22

online. But before

3:24

giving the floor to the doctor, I want to

3:25

tell him that this conference

3:27

also arose from the interest of the

3:30

students of this

3:32

educational sciences and we immediately

3:35

thought he was an expert on these

3:38

topics. So thank you again.

3:40

From this moment on, you have the

3:41

floor.

3:45

Well, first of all, good afternoon to

3:47

everyone. It's a pleasure to be here,

3:50

even if it's just online. I was there in person

3:52

and it was a real

3:55

pleasure to meet you all personally. Celina, and

3:59

some other colleagues. Well, for me it is

4:01

also an honor to work with Gina,

4:04

helping her with her doctoral thesis

4:08

as an international co-director. And well,

4:11

thank you for the presentation. Uh, let me

4:13

briefly comment on my

4:15

profile. I was a

4:17

high school teacher, I'm a

4:20

math teacher, I was a high school teacher

4:22

until practically May of last year. I

4:25

was also working simultaneously as

4:26

both a high school teacher

4:28

and a university professor.

4:31

I spent 10 years juggling both things and now

4:34

I am dedicated full time to

4:36

university. Well, the title of the

4:39

conference is emerging pedagogy

4:41

based on gamification, the STEN approach and

4:44

generative artificial intelligence in the

4:46

framework of higher education. I'm going to

4:48

try to give you some brief overviews,

4:50

ideas, and suggestions about

4:52

gamification, about exchange and

4:54

robotics, and finally about

4:55

artificial intelligence, which is

4:58

perhaps the real battleground today,

5:00

especially in

5:02

higher education institutions, right? Regarding the

5:05

GPT chat issue, the copying, whether it's good

5:09

to use it or not. There is a lot of debate surrounding

5:13

that. Um, first of all,

5:18

when we talk about

5:20

emerging pedagogy, we are talking about

5:23

an approach, a pedagogical idea that

5:26

has to do with the use of ICTs in

5:28

education in new

5:31

social scenarios that affect it, right?

5:35

Obviously, the technologies arrived,

5:37

they arrived in their time. There were

5:40

several waves in Spain, weren't there? We used to work with

5:42

computers, we used to work with

5:45

digital whiteboards, we used to work with

5:47

Weto Zero tools, and today we are

5:49

at a

5:52

higher stage and we are working with

5:55

tools related to

5:57

robotics, related to

5:59

artificial intelligence and also with

6:01

augmented reality. Well, all of this has

6:03

been a long procedure or process

6:04

, but it is true that we are now

6:07

at a point where

6:08

these

6:10

emerging pedagogies are taking center stage. We mentioned some of them

6:14

here. There are some

6:16

pedagogies that are related to

6:18

virtual

6:20

learning communities.

6:22

A new design has also emerged called DUA,

6:25

Universal Design for Learning, which

6:27

aims to introduce and integrate

6:32

technology into the lives of everyone without

6:35

excluding anyone, by designing or creating

6:38

specific designs for people who

6:40

have learning difficulties.

6:42

Uh, learning, of course, based

6:44

on play, the maker movement

6:47

related to ST and STAM,

6:50

gamification, and then also a new

6:53

emerging pedagogy that has to do with, uh, I

6:56

think its origin or source is

6:59

in Japan, lesson study. All these

7:03

technologies, all this

7:05

methodology or pedagogy, can at

7:08

a certain point use technology

7:10

as an element that integrates them all. I'm

7:13

going to start with gamification.

7:16

Well, we've all been children and

7:20

played when we were little, haven't we? Uh, when

7:23

we played we had a feeling of

7:26

fun, we had a feeling of

7:30

escapism, we had a feeling of challenge,

7:34

competition, I mean, all those concepts

7:37

were present in any game,

7:40

right? Call it games,

7:43

even football, right? I am a great

7:48

admirer and player of football at the

7:50

time and it was a challenge, a challenge,

7:52

to do well, to learn, to really

7:56

have a motivation that could be both

7:58

extrinsic and intrinsic. When

8:01

we talk about gamification,

8:02

we are really talking about the use and

8:04

design of game mechanics in environments

8:07

that are no longer going to be playful, in order to

8:09

motivate, generate concentration, build

8:13

loyalty and generate positive values

8:16

from the game. To truly bring

8:20

the use and design of game mechanics into educational environments

8:23

. It is a way to help the

8:28

teaching and learning processes.

8:32

Well, the concept comes from game, it's an

8:34

English word, it means game in

8:36

English and it refers to the use of

8:38

game elements and game

8:41

design techniques in a non-playful context.

8:44

We're really talking about a

8:45

learning technique that transfers the

8:47

mechanics of games to the

8:49

educational field to try to improve

8:51

results, right? Improve motivation,

8:53

improve, as I say, both extrinsic

8:56

and intrinsic motivation, and try to make

9:00

play the means, even though the end

9:03

we pursue is learning. What are the

9:05

characteristics of gamification? It

9:07

promotes friendly competition,

9:09

imparts a sense of accomplishment or

9:13

generates what is known as

9:15

achievement motivation, also generates a

9:18

change in behavior, motivates the

9:20

development of skills, influences

9:22

learning directly and allows

9:25

students to learn more

9:27

meaningfully.

9:29

Gamification can bring about a

9:32

change in behavior, a

9:33

motivation, and help us solve

9:36

problems in a playful or more

9:39

fun way. The game features

9:41

interesting elements such as

9:42

questions, challenges, levels, competition, and

9:45

collaboration. Many users are

9:48

struggling with gamification. There are many

9:50

types of our students who are very

9:52

different when it comes to playing and

9:55

gamifying. Some are

9:57

socializers, others are more free-spirited,

10:00

others like to succeed, and others are

10:03

more philanthropic; in other words, it all has something to do

10:05

with each person's character

10:08

. What rewards can we

10:10

obtain when we use

10:12

camification? Points, badges, achievements,

10:15

trophies, gifts, even money, which

10:18

is not the case in educational settings. And

10:21

motivation improves, right? Eh,

10:25

interesting concepts appear such as

10:28

creativity that can be

10:31

improved, autonomy, mastery,

10:35

purpose. The purpose is important.

10:37

There are many times when we can provoke

10:41

altruism, which is so

10:43

necessary in today's society.

10:47

In short, play, as I

10:50

said before, has been with us since we were

10:53

little and we can bring it into the classroom

10:56

always keeping in mind all those

10:58

connotations we have discussed.

11:02

Let's now enter the STEN.

11:04

When we talk about SEN, we are talking

11:06

about an educational approach that integrates

11:08

mathematical and scientific content

11:10

using the engineering design process

11:12

in order to develop

11:15

through teamwork. This is

11:17

very important because ST requires

11:20

collaboration, cooperation,

11:22

teamwork, and the use of technology

11:24

to solve real-life or

11:27

real-world problems.

11:29

The term is quite popular, and some

11:33

authors in other times of the year 2013 did

11:36

not agree on whether there was

11:38

a single or universal definition for

11:41

this

11:42

concept. The pedagogical movement

11:44

aimed at integrating the disciplines or

11:46

specialties that constitute the STEM.

11:49

There is a movement that revolves around

11:51

STEAM that is related to

11:53

robotics, which I will now talk about in

11:55

a little more detail and we have to

11:58

take it into

11:59

account. Why are they there? What skills does

12:03

an individual need in the 21st century?

12:08

You need to develop

12:09

critical thinking, which involves

12:12

reasoning, analysis,

12:14

decision making, and problem solving.

12:17

Um, you need to improve your

12:19

communication and collaboration skills; that is, you need to

12:22

learn clarity in conveying

12:25

ideas, listening skills, respect, and

12:27

above all, flexibility—knowing how to listen

12:29

to others, knowing when to be quiet

12:32

, having empathy, and knowing how to

12:35

put yourself in other people's situations.

12:37

All those values ​​that we see as

12:43

particularly

12:44

interesting are fundamental, aren't they?

12:47

Creativity and

12:48

entrepreneurship, creation techniques,

12:51

observation skills,

12:53

positive attitude towards failure. And

12:55

finally, a very important issue which

12:57

is digital literacy, a

12:59

digital world that surrounds us with mobile phones,

13:04

online banking, and

13:06

then all the negative aspects too,

13:10

cyber addiction, harassment, all of that, we have to

13:13

educate people from a

13:16

digital point of view. And I have always been in favor,

13:18

in my

13:20

closest environment, of

13:24

ensuring that students are as

13:28

literate as possible, not only in terms of

13:32

curriculum, but also from a digital point of view

13:35

. Because? Because it is essential

13:37

that students not only know how to

13:40

access a social network, but also know what to

13:42

do with their data, know

13:44

how to defend their privacy, that is,

13:49

all these kinds of issues that seem

13:51

so basic are not, and that is why so

13:53

many problems arise. We are

13:55

talking about the use and management of

13:56

information, multimedia analysis and production,

13:58

and finally a

14:01

very important concept that is

14:03

already included in the educational programs of the European Union

14:05

, which is

14:09

computational thinking. When we talk

14:11

about STEN, we are really mixing technicians,

14:14

engineers, scientists, and mathematicians.

14:17

Science, on the one hand, seeks to explain

14:20

the complexity of the natural world and

14:22

uses this understanding to make

14:24

useful and valid predictions over

14:26

time, right? Technology uses

14:31

innovative tools, materials, and processes to solve problems and

14:33

meet people's needs

14:35

, right? Society, environment

14:37

and more. And engineering, finally,

14:40

creatively applies

14:42

scientific principles to analyze events,

14:44

design processes, develop materials,

14:46

and build objects that benefit

14:48

society. They all mix together: science,

14:51

engineering, technology, but they

14:53

use mathematics as a vehicle

14:55

to analyze data and perform or

14:59

develop a relationship with it

15:01

, right? So,

15:02

mathematics would be at the center

15:04

of everything. Science on one hand,

15:06

engineering, technology, interconnected

15:08

thanks to

15:10

mathematics. Okay, I'm going to ask you

15:14

now to talk a little bit about robotics. And

15:16

before we talk about robotics, I'd like to

15:19

mention a few books. I have them

15:21

here. There is a book by Nicolas Car

15:24

called Trapped: How Machines

15:27

Take Over Our Lives. I

15:29

highly recommend it because

15:32

this gentleman is very, very enlightened on

15:35

the subject of

15:38

technology and it is really quite

15:40

interesting to read him. He is quite critical

15:42

of some things. He has another,

15:44

slightly older book, "The Internet Is Doing

15:46

to Our Minds," also by

15:48

Nicolas Car. They're interesting books

15:51

for getting a bit more concrete, for

15:54

understanding where we are right now, are

15:56

n't they? What will happen to

15:58

machines or robots? The other day,

16:01

yesterday or the day before, I think it was a couple

16:03

of days ago, a very interesting video came out here

16:04

where a robot

16:09

ran a half

16:12

marathon, something that seems so easy,

16:15

is not easy at all for a machine, it took

16:18

much longer than a human,

16:21

but it finished the race and that was in

16:24

China. Let's

16:26

not forget that the Chinese

16:28

are

16:29

researching at an incredible speed

16:33

in artificial intelligence, robotics, and

16:36

other fields. And there is not

16:41

only a trade war, as the

16:44

United States has tried to sell us—which is good that it

16:46

exists as such—but there is also

16:48

a significant knowledge war at the

16:51

technological level between the

16:54

Chinese and the Americans. And in

16:57

fact, it is likely, from my humble point

17:00

of view, that the Chinese will soon

17:02

acquire significant potential, isn't it?

17:05

And they may become the world's leading power

17:07

in artificial intelligence in I don't

17:09

know how long, but I believe so.

17:12

The American Robotics Institute

17:14

RIA defines us as a robot. Let's look at this

17:16

definition in a little more detail

17:19

to reflect on it. A

17:24

reprogrammable multifunctional manipulator designed

17:26

to move materials, parts,

17:29

tools, or special devices

17:30

through programmed and

17:33

variable movements that allow for the performance of

17:35

various tasks. Freedman already told us this

17:37

in 1996.

17:40

We are talking about a

17:43

robotic entity framed

17:46

primarily in factories, in

17:49

cars, that is, everything today

17:52

is computerized and

17:54

robotized. And of course, we're going further; this

17:57

also has a double aspect. It

18:00

may happen that

18:02

a very significant percentage

18:06

of jobs will disappear and that people will have to be

18:08

retrained in other types

18:10

of work environments, or that there will be

18:14

many people who will

18:16

not be able to find a place for themselves at a

18:18

certain time, right?

18:20

So, we'll have to think about what can be

18:22

done. There has been talk of a

18:24

universal basic income that has already been implemented

18:27

in some

18:29

Nordic countries. We are in a

18:32

delicate moment, where dynamic, fluid,

18:35

also liquid, in a moment of much

18:39

change and the truth is that I find it

18:41

exciting. I am

18:43

fortunate, even though I am already of an

18:45

age, I am 60 years old, but I am

18:47

fortunate to be living through these

18:51

rapid and very

18:53

important changes that are happening in

18:54

our environment. And we have to be

18:56

careful, we have to be careful with

18:57

them. And lately I've been

18:59

reading about issues related to

19:01

the moral environment of robotics, and

19:05

the philosophy of

19:07

artificial intelligence. There is also a book I

19:09

have here that is very, very

19:11

interesting called Ethics or

19:13

ideology of artificial intelligence,

19:15

the eclipse of communicative reason in

19:18

a technologized society. This is

19:20

written by a philosopher from Cortina

19:23

who is famous here in Spain, and the

19:27

truth is that I'm finding it

19:29

quite interesting to read and it's helping me understand

19:32

a bit about what's going to happen on a

19:35

moral level with machines, right? What's going to

19:37

happen to them?

19:39

Um, how can a machine's software

19:42

decide to do one thing or another, and

19:45

under what moral framework? That is very, very

19:48

important and it needs to be legislated. If

19:51

we don't legislate all of that and

19:53

leave everything in the hands of companies, we're in

19:57

trouble. We need to legislate from a

19:58

humanist point of view with a

20:01

human vision of the machine, and that needs to be

20:04

legislated deeply and

20:06

reflected upon deeply.

20:08

Well, robotics at the

20:10

educational level is a resource that facilitates the

20:13

development of skills such as

20:15

socialization, creativity,

20:17

initiative, and all of this contextualized

20:19

in our current world. It has a

20:21

multidisciplinary character that generates

20:23

learning environments related

20:25

to real-world problems. This

20:27

will allow students to

20:29

imagine and formulate possible solutions

20:32

and implement new ideas in a

20:35

motivating way. Lian already told us this

20:37

in

20:40

2007. Educational robotics

20:42

can also be known by another term such as

20:44

pedagogical robotics and is a discipline

20:47

that aims to conceive,

20:50

create and put into operation

20:51

robotic prototypes and

20:53

specialized programs for pedagogical purposes.

20:55

Ruiz Velasco didn't say this in 2007.

20:58

This educational robotics has to

21:01

generate

21:02

interdisciplinarity and must encompass

21:04

concepts related to science,

21:06

technology, engineering and mathematics.

21:08

What in English is known, as I

21:10

mentioned earlier, as ST science,

21:13

technology, engineering in mathematics, as well as the

21:17

area of ​​linguistics, and even

21:18

creativity.

21:21

Well, uh, we have to say this is

21:24

old news, Malek was already talking to us in 2001,

21:26

right? We need to learn robotics and

21:29

learn with robotics. They are two

21:31

different things. Learning robotics is

21:33

learning how to manage and generate robots, how to

21:36

create devices, how to work with them at a

21:39

technological level, and how to learn with

21:41

robotics. In each of the

21:44

disciplines, both in science and in

21:46

other disciplines, we can use

21:49

robotics to learn, right?

21:51

So, we're talking about two

21:53

different approaches, right? Students

21:55

should have access to learning about

21:57

robotics and its use in

22:00

learning about topics in various

22:02

areas of knowledge. In other words,

22:04

we have to see, we cannot lose

22:06

sight of the fact that these two approaches, these two

22:08

perspectives, these two points of view must

22:10

accompany each other. This

22:12

dual approach allows the construction of

22:16

meaningful learning educational projects that must include

22:17

objectives, content,

22:19

methodologies, physical resources for the

22:21

development of activities, and

22:24

evaluation criteria to assess the level of

22:28

student performance. Okay, when we talk about

22:31

robotics, we're thinking about

22:34

programming, we're thinking about

22:36

creating robotic prototypes,

22:39

we're thinking about

22:41

modular programming. What is Scratch, for example? It's a

22:43

modular programming system

22:47

that's good for

22:50

elementary school, and even the first levels

22:52

of secondary school. When we talk here a

22:54

little, I'm focusing a bit on the

22:57

content of education in Spain,

22:59

Arduino, which is already talking about

23:01

programming at a slightly more

23:03

important level, and then there are other

23:06

platforms and programs such as

23:08

Tinker, which is about working with

23:10

children on programming, Codable and

23:13

then especially Lego too, right?

23:15

Lego does a pretty good job with robotics in education

23:17

. I remember Lego when I was

23:19

a child. Lego pieces were pieces that fit together

23:22

, they were interlocking, pulle, all

23:25

that kind of stuff. Today, then, the ego has

23:27

already emerged in the world of

23:29

robotics.

23:32

Okay, now I'm going to talk to you about

23:40

generative artificial intelligence. The use of

23:42

generative artificial intelligence in

23:44

higher education institutions has generated a

23:48

real cataclysm that has been

23:51

gradually fading away, hasn't it? But at

23:54

first, when GPT chat appeared,

23:58

people in

24:00

university institutions were saying that it was

24:02

a disaster, that now

24:05

students were going to copy all the

24:06

work, that we were going to use GPT to

24:09

ask them to copy everything, that is, all that

24:12

atmosphere was generated, also with

24:15

some unease, because of course, the

24:18

professors didn't know if the work

24:20

had been copied, or not

24:21

. We have to keep in mind

24:23

that the start of this GPT, which was in

24:27

November

24:29

2022, I think, or 23, uh, well at

24:34

that time Charl GPT still

24:37

had flaws, it had what were called

24:39

gaps, right? that at a

24:41

certain moment you would ask CH

24:43

GPT something and he would answer with something he made up,

24:45

that he really wasn't clear on it, he did

24:49

n't have any data about it and he resorted

24:52

to making it up. It has gradually been

24:54

refined and today CH GPT is a

24:57

very powerful tool, quite a

25:01

powerful tool, and well, we

25:05

as teachers, as members of

25:09

the different faculties of

25:11

education sciences who are

25:13

teaching students who are going to be

25:15

future teachers, we have to

25:17

keep in mind that these tools

25:19

are there and we have to use them

25:21

appropriately and teach them what we can do

25:24

with them. No, that's the idea.

25:26

Generative artificial intelligence is actually

25:29

a type of intelligence or

25:31

artificial intelligence technology

25:33

that can create new and

25:35

original content, encompassing text,

25:38

images, music, video, code, and

25:40

so on. Unlike other

25:42

artificial intelligence systems that were previously

25:44

only used to analyze

25:46

data or make decisions, generative intelligence

25:49

focuses primarily on

25:51

creativity, attempting to replicate the

25:53

human capacity to generate original ideas and

25:55

material

25:57

. What applications can

26:02

generative logic have? Creating images and art. There is

26:06

also an important idea that

26:08

can be generating music,

26:10

generative music, text,

26:12

video games, animation graphic design

26:14

, graphic design, and

26:17

scientific simulations. In other words, this is the

26:19

new framework where we will be working with

26:24

artificial intelligence. What specific applications

26:26

can generative artificial intelligence have

26:28

in education? Creating and

26:30

adapting

26:32

personalized content, tutoring tasks

26:35

based on dialogue,

26:38

problem-solving using

26:39

computational thinking, and artificial intelligence. We ca

26:41

n't ask the machine

26:43

certain questions to see if it gives us

26:45

solutions. Virtual and

26:49

intelligent assistants. Evaluate in an

26:51

automated and more personalized way.

26:53

Generate educational content. Generate

26:56

documentation. Generate content,

26:59

practice languages ​​and simulate

27:00

conversations, support writing,

27:03

create

27:05

teaching materials, and analyze data for

27:10

decision-making. We are talking about

27:12

generative intelligence already within the

27:14

educational framework, which can have benefits,

27:16

but also has challenges and problems,

27:18

right? The benefits are there, I see them

27:20

clearly, don't you? They are improved

27:22

learning, greater efficiency, greater

27:24

accessibility, and then a fairly

27:27

important innovative character.

27:29

Challenges, costs, the

27:32

paid version of GPT chat because it has an

27:35

access cost, privacy problems,

27:37

as always when we work with the

27:39

internet, privacy and

27:40

security, what digital competence does

27:42

the individual who interacts

27:45

with artificial intelligence have?

27:48

The ethical issues and

27:50

ethical biases, which I have already mentioned

27:52

when I was talking about the books I

27:54

recommended, and a

27:56

sometimes excessive dependence on the

27:58

machine environment and the environment of that

28:01

artificial intelligence. I mean, maybe at some point

28:05

we're going to become

28:06

super dependent on those kinds of tools, right?

28:09

And that's not good either.

28:12

GPT chat, let's get into a little more detail about

28:14

it. It

28:17

represents a new opportunity to

28:19

improve the quality and accessibility of

28:21

teaching and learning processes in

28:23

higher education, but we must

28:26

approach it, as I have said before,

28:28

with caution and fully understand what

28:31

opportunities and challenges its

28:33

use entails. Raguas already told us that in

28:35

2023, didn't he? In other words, we really need to

28:38

tell the students, from my point of

28:39

view, that CH GPT can be used, that it is

28:43

very important to know how to design the prompt,

28:46

which is the input element for

28:50

the AI ​​to answer us. And it is very

28:56

important, that is, to read what

28:59

the IAR has given us back, to reflect on it, to

29:02

think about it and then to give it our

29:05

human touch. No, no, of course, we shouldn't

29:08

just be guided by what

29:11

the AI ​​has said. It has given us information,

29:13

but we have to investigate

29:15

it, improve it, expand it, reflect

29:19

on it—all of that is very, very

29:21

important. And that's where the

29:23

power of intelligence lies, giving us that

29:26

information which we, as

29:28

thinking human beings, then improve,

29:32

right? Its main function is to process and

29:35

generate text in a manner similar to how

29:37

a human would, using the extensive

29:40

knowledge acquired during its

29:42

training since the beginning of its

29:44

tethering.

29:45

In the case of mathematics, which is the

29:47

discipline I work in, in which I

29:50

move more easily, it opens up a

29:52

new world of possibilities for the

29:55

teaching and learning processes in

29:56

which we are investigating. We

29:59

are here at my university, in my

30:01

faculty, conducting

30:04

research and generating ideas in the

30:06

context of

30:08

mathematics didactics, arithmetic didactics,

30:10

and geometry didactics,

30:12

fundamentally. So, we already have

30:14

some articles written about it. Okay,

30:17

now later I'll show you

30:21

some graphs of

30:25

questionnaires and questions that we've

30:27

worked on with the students, and see if I can contribute

30:30

anything interesting.

30:33

I think some issues

30:35

of interest have come up.

30:37

Well, the advantage of using GPT chat,

30:40

as we mentioned earlier

30:42

, is access to

30:43

instant information, it fosters

30:46

active learning, personalizes the

30:48

learning experience, and stimulates

30:51

critical thinking, promoting

30:52

accessibility and inclusion. All of this is true

30:55

if we use it well, if we use it

30:58

as one more element in the

31:01

teaching and learning processes, and if we

31:04

accompany it with the appropriate ethical considerations,

31:07

proper reflection, and an understanding of the

31:12

importance of the human being in

31:15

all processes.

31:18

Some GPT chat applications can

31:22

extract definitions and answer

31:23

questions. Explaining concepts, translating

31:26

into another language, writing

31:28

essays, analyzing social media content

31:31

, and creating podcast video scripts

31:34

. I

31:38

also have it here on another

31:40

computer. Okay, no

31:42

problem, I'll

31:50

talk about it. Okay, when we talk about

31:53

"Can you hear me now?" Sorry for

31:55

all the technical problems. Uh, uh,

31:58

some GPT chat applications. Well,

32:00

they're useful, huh? Yes, you can hear me now,

32:04

right?

32:07

Yes, professor, yes, we heard you.

32:11

Yes, doctor, we heard you. Alright.

32:13

Definition. What is the purpose of GPT chat in

32:17

general? Perfect. Uh, definitions.

32:20

Answering questions, explaining

32:22

concepts, working as translators, translating into

32:25

another language, writing an essay,

32:28

writing a

32:30

novel, speaking, analyzing

32:34

social media content, making lists,

32:37

brainstorming, creating multiple-choice

32:40

questions, creating a

32:45

course syllabus, writing a legal document,

32:48

drafting a contract, writing a video script, writing a

32:58

podcast script,

33:01

summarizing a book, summarizing a video,

33:04

creating letters, emails, even something more

33:07

playful, like telling jokes, something

33:10

creative, like writing

33:12

poems, writing

33:15

song lyrics, creating a profile,

33:19

writing improvement ideas, writing

33:22

code, analyzing code and debugging it, in other words

33:26

, I can do all of that. GPT chat.

33:29

Let's move on to the

33:35

next one. Let's move on to the next

33:37

slide, please.

33:42

Yes, doctor, we're already on the next

33:44

slide. Can you continue?

33:46

[Music]

33:47

Yes.

33:49

Yes, yes, we're on the next

33:51

slide, doctor.

33:54

[Music]

33:58

Okay. Uh, we also considered it. Yes,

34:03

thank you. Thank you.

34:06

Uh, we here in

34:10

our faculty, we in our

34:13

faculty have worked mainly

34:17

on the aspect related to the teaching

34:19

of mathematics, right? And of course, we've

34:23

conducted surveys, we've done

34:25

research, and we've asked the

34:27

students some questions. For example,

34:30

are you for or against the use of CH

34:32

GPT and AI tools in the

34:35

teaching and learning process of classes? The

34:38

vast majority of students

34:40

rated it as three, four, or five, indicating they

34:45

were in favor; in other words, there was

34:48

a highly positive response

34:52

regarding this tool. Let's move on to

34:54

the next one, please.

34:59

[Music]

35:03

We move on to the next one.

35:06

Yes, we're already on the next one, doctor.

35:08

Can you continue?

35:16

Yes,

35:19

yes, yes. We're on the

35:21

next slide now, please.

35:23

Yes, we're there, doctor. Perhaps the

35:25

question is, have you encountered any

35:27

problems using the

35:29

AI ​​presentation tool? Which is it? Uh,

35:33

exactly.

35:35

Thank you. Thank you. Have you encountered any

35:38

problems using the

35:40

AI ​​presentation tool? Which is it?

35:43

Uh, when we talk about presentations,

35:50

when we talk about

35:53

presenting, thank you. So, the question is,

35:57

have you encountered any problems using

36:00

the AI ​​presentation tool

36:02

? Which is it?

36:06

When we talk about that, we're talking

36:09

about a tool that still needs

36:14

polishing and improvement. So, the

36:18

students were telling us that

36:23

these tools still had

36:25

limitations when it came to inserting

36:27

images; sometimes they wouldn't let you download them in

36:30

PDF or PowerPoint format.

36:32

The text of the presentation was

36:36

limited, some tools were not

36:38

online and needed to be installed

36:41

beforehand. The tool's interface

36:43

is difficult to

36:45

use. Well, the presentations were

36:47

simple and unattractive. The tools

36:50

that a car sometimes has,

36:53

economical, a limited number of uses, that

36:56

is, the presentation tool,

36:59

were still to be improved and polished.

37:03

Let's move on to the next question,

37:04

please.

37:10

[Music] We

37:14

're on to the next one, doctor.

37:19

The next slide, please.

37:31

Have you encountered any problems using

37:33

the presentation tool? That's the one

37:34

we've seen. Let's move on to the

37:35

next

37:39

[Music]

37:47

[Music]

37:48

Yes. Would you recommend using it? The next

37:52

question is about AI tools for the

37:54

learner. Thank you. Thank you, Celina.

37:57

I would recommend the use of

37:59

AI tools for learning in

38:01

mathematics subjects such as

38:02

arithmetic teaching. The

38:04

same thing happens. The recommendation from

38:06

the students is broad with three,

38:10

four and five, that is, the students

38:17

recommend [Music] in a

38:19

significant way, right? Uh, now

38:22

a

38:25

slide appears that includes some

38:27

interesting tools for working with

38:29

artificial intelligence in

38:32

training and educational environments. The

38:34

next one, the one on the next

38:36

slide, please.

38:42

Doctor, the next one is ready. We'll wait

38:45

until you're able to speak.

38:51

[Music]

38:54

Yes, let's move on to the next one, please.

39:09

Yes,

39:15

[Music]

39:19

could we move on to the next

39:21

slide,

39:23

please. Now, what

39:25

artificial intelligence tool?

39:27

Thank you. Which tool?

39:30

Indeed, what

39:32

artificial intelligence tool could we

39:34

use in education in

39:37

training environments? In addition to the GPT chat,

39:41

there's a new or interesting tool,

39:44

Emini, that Google recently released

39:49

. Pilot is another

39:51

interesting tool, and then there are

39:53

a number of

39:55

artificial intelligence tools or platforms

39:58

that, well, at a certain point,

40:00

can be interesting for working with

40:03

mathematics, and one that is GPT

40:09

Pro, which I think could be interesting

40:12

for mathematics teachers.

40:15

Megaprofe, a platform for

40:17

teachers,

40:19

Eduide, that is, there you have a series of

40:24

platforms that can help you in

40:27

educational environments when using

40:31

artificial intelligence. Next, please. We

40:40

already have the next one.

40:50

Yes, the next one.

40:56

[Music]

41:05

We passed. Yes.

41:09

[Music] Let

41:11

's move on to the next one, please.

41:15

[Music]

41:26

Yes,

41:31

[Music]

41:35

very good. Thank you. Thank you. Other

41:36

artificial intelligence tools,

41:38

besides GPT chat, include

41:41

DAL E2, which deals with

41:44

image issues; Podcastle, which

41:47

deals with podcasts;

41:55

Grammar Le, which is focused on

41:58

creating

41:59

Sonic text; and

42:05

Flicky, which is a

42:07

tool that transforms text into

42:09

video. In other words, we should

42:11

always try to find

42:12

useful tools that will help us at a given

42:15

time with what we

42:17

are doing, and above all,

42:19

try to use

42:22

free ones as much as possible, because later on

42:24

, obviously, they will

42:26

become paid tools,

42:28

but at the beginning they cannot be used.

42:31

Let's move on to the next one, please. We

42:37

're already on the next one, doctor.

42:41

Let's move on to the next one.

42:51

[Music]

42:55

Yes.

43:04

Let's move on, please, to the

43:20

next [Music]. The next slide,

43:22

please.

43:31

Specifically, the Thank you, Celina,

43:35

thank you. Specifically, applications of

43:38

AI for education. Well, we have

43:45

content creation assistants like BIN, Google Bar, CH GPT

43:50

Perplexity. That's

43:56

a pretty interesting tool,

43:59

similar to the one with GPT text work for

44:04

creating slide presentations. And

44:11

then we have GPT for

44:13

presentations and Motionit, creating

44:16

images from text that

44:19

already appeared on a previous slide,

44:22

and then some for various uses like

44:27

depl.com.com, which is a translator. And

44:31

then there's an interesting one called

44:33

smoding. And this mod is a

44:36

plagiarism checker that helps us

44:39

paraphrase text and thus eliminate

44:42

possible plagiarism. In other words, this tool,

44:45

especially for researchers, could

44:46

be quite

44:47

interesting. Please move on to

44:50

the next one.

44:53

Okay, doctor, we

44:56

're on the next slide. Yes.

45:01

[Music] We'll

45:05

move on to the next one, sorry.

45:16

[Music]

45:20

Yes, the next one, please.

45:24

[Music]

45:30

[Music]

45:33

Yes,

45:44

the next one. That is. Well, there you have

45:45

a slide that covers

45:50

general tools as well as text,

45:51

video and image tools, that is,

45:53

video generation,

45:54

image generation,

45:58

text generation. Perfect, thank you. Thank you.

46:02

Generals, CH GPT, Gemini, eh, Genai.

46:07

Well, there's another Canba. Can is

46:09

interesting. We tell this to

46:12

the students a lot here because

46:16

Canar images, infographics,

46:19

presentations that already have

46:23

artificial intelligence incorporated.

46:25

There are also some

46:28

interesting videos, like the one I mentioned earlier

46:30

called Flicky, which we have around here

46:32

. Text, well, Copilot Gemini, uh

46:37

Deep L, which is the

46:39

translator, chat PDF is also

46:42

interesting to

46:44

transform, uh, work with or generate

46:47

PDFs. Uh, there's one

46:50

interesting image called Mid Journey. And well,

46:54

there you have a series of... I hope you

46:56

pass the presentation on to everyone who

46:59

is interested because I think there is a

47:01

lot of material for people to

47:04

investigate. And I think we've moved on to the

47:07

last one, if I

47:15

remember correctly. Doctor, email on the next

47:19

slide, please.

47:23

Yes, doctor, we're already on the last

47:24

slide where your email is, and we'll

47:27

send the presentation to all the

47:29

students and

47:30

interested people. The next and last one,

47:32

please.

47:39

Luis.

47:42

Yes,

47:43

[Music]

47:44

Luis

47:52

@ Yes, the last one, please.

47:59

[Music]

48:11

The last

48:13

slide. That's

48:19

the last one.

48:24

[Music]

48:26

Well, there you have my details and, most

48:27

importantly,

48:30

thank you.

48:32

Hey, you have my information, especially my

48:37

email address. That's it

48:39

, that's

48:42

for

48:44

Exactly. Indeed. And well, and please

48:46

excuse me a little, I think it was

48:48

mainly a

48:50

connectivity problem, right? Maybe here,

48:53

well, we don't know about there. Okay, let's

48:56

open the floor then for

48:59

people to ask questions and

49:02

if there are any suggestions,

49:05

comments, or any issues you'd like to

49:08

raise.

49:11

Okay, that sounds good.

49:16

Okay, doctor. Hey, Francisco, if anyone

49:19

wants to ask or

49:20

question something.

49:25

Yes, yes, yes, yes. I want to close by saying to

49:28

Dr. Francisco Ru, thank you very much for

49:32

your intervention, for your important and

49:35

excellent lecture. Well, here you

49:38

leave us with a great many things

49:41

to reflect on, to analyze. Does

49:42

anyone have a question? And we're going

49:44

to listen first to the

49:46

questions from here in the room, if there are any to

49:49

ask.

49:52

So, we'll give the floor to a

49:54

doctoral student in

49:56

education, please.

50:02

Any questions? Anything? Celina,

50:06

you speak, you speak. Can you

50:09

hear me?

50:14

Yes,

50:21

doctor, good morning. Uh, any

50:23

questions? It catches my

50:25

attention that you have taught

50:30

mathematics in

50:33

elementary, middle, and high school.

50:38

Um, based on your experience I wanted to

50:41

ask you a question.

50:43

Um, my research problem is

50:46

focusing on the

50:48

meaningful learning of mathematics,

50:50

making use of the context, taking all

50:53

those everyday situations that

50:55

the student encounters,

50:58

but then that's how

51:01

Auswell proposes it, yes, that's how Auswell proposes it,

51:05

but then we're not doing it

51:07

that way. So, I wanted to

51:09

propose a strategy for

51:12

teaching mathematics, for achieving

51:15

meaningful learning based on

51:17

context recognition, but I've

51:20

encountered other things

51:23

that have led me to

51:26

change course, to take a different direction in my studies, and now

51:29

I plan to study why

51:32

this meaningful learning isn't happening

51:34

, what problems

51:35

students face. that

51:38

prevent them from

51:39

having meaningful learning experiences.

51:43

Within this, I have found that

51:46

one of the reasons is because it is not

51:50

contextualized, another reason is

51:52

because the community where

51:56

the students are does not consider

51:59

mathematics or education important and what does

52:01

not interest them because it does not

52:03

generate utility in economic terms, well, it is

52:05

not going to attract their attention. Another

52:07

thing I've encountered

52:10

is that

52:16

flexibility is being confused with relaxing all

52:18

educational processes. Well, another

52:22

big problem is that

52:26

many primary school teachers,

52:28

which is a very

52:30

important stage, are not

52:32

math teachers, and the institutions don't

52:34

have a strategy to

52:40

address certain topics that are

52:42

important in this area, which means we're

52:46

always falling behind in

52:48

knowledge.

52:51

Many teachers even feel apathy towards the

52:53

subject

52:54

because they don't understand certain topics.

52:57

Therefore, an

52:59

institution should have a strategy

53:01

to handle this. And the biggest problem is the

53:05

demotivation that the

53:06

students have. You mentioned, for

53:08

example, the issue of

53:10

mobile devices, technology, but it turns out that when it comes

53:13

to using it to learn,

53:15

they lose motivation. They are

53:17

interested in the topic, they are

53:20

interested in how they entertain themselves with the

53:22

cell phone, with the internet, but they are not

53:24

interested in using it for learning.

53:27

They feel completely

53:29

demotivated. I don't know what's going on,

53:31

but sometimes it's impossible to motivate them.

53:34

Then, other things could arise

53:36

, such as

53:39

extrinsic motivation when the teacher

53:43

addresses the topics

53:46

with authority, making them not

53:49

flexible, but managing a certain

53:52

rhythm so that the student

53:54

considers learning important,

53:59

because that is also what is

54:01

happening, even teachers in

54:03

rural areas with so many difficulties, sometimes

54:05

we suddenly feel demotivated as

54:08

well. That gets passed on to the

54:10

students. So, all of this creates

54:11

a series of situations that

54:13

hinder

54:15

meaningful learning for

54:17

students. Um, focusing on studying

54:20

this, could it be

54:22

representative for a doctoral thesis,

54:29

or what advice would you give me, doctor?

54:32

Thank you very much.

54:38

A moment of silence. M.

54:50

[Music]

55:08

Very good. Hey, can you

55:10

hear me? Can you hear me?

55:14

Yes, yes, yes. Can you hear me okay?

55:18

Okay, doctor. We heard well.

55:20

Yes, I can be heard fine.

55:24

Yes, yes. I can't be

55:28

heard,

55:30

sorry. Yes,

55:33

yes, yes, yes, yes. Can you

55:36

hear me okay?

55:41

Yes, I can be

55:44

heard fine.

55:47

Yes, doctor, it sounds great. But

55:50

? Perfect. Thank you. Well, well, what my

55:55

colleague is telling me,

55:57

well, my experience with respect to

55:59

mathematics is

56:02

that, well, I have worked in all

56:06

areas of teaching. Perfect.

56:10

So, I've been working with

56:13

students of all ages. Right now I'm

56:16

working with students,

56:19

I'm preparing students who are

56:22

older, right? That

56:25

everything. Okay, perfect. So, I'm

56:28

working with

56:30

university students, but it's true that I've

56:32

worked a lot with students who

56:34

have to go to secondary school. What's wrong

56:38

with math? Mathematics is

56:40

always the workhorse, isn't it?

56:43

Because? Because in mathematics we often

56:46

fall, we mathematics teachers

56:48

fall into the idea that we have to

56:52

apply formulas,

56:55

automatisms only and we don't

56:57

contextualize, as you have rightly

56:59

commented, it is not

57:01

contextualized. Today there is a trend

57:04

that I believe is very important, which is what

57:06

is called

57:09

experiential learning based on experience.

57:12

And there's already a book out there. I

57:15

actually have a review written for a book

57:19

called

57:21

Experiential Learning. It is primarily focused on

57:24

science, but

57:26

mathematics can also benefit from this

57:30

information.

57:37

Well, there are other methodologies such as, for

57:38

example, for working on mathematics and

57:40

another subject, such as the

57:42

flipped classroom. The flipped classroom involves

57:45

creating a video, a material that the

57:49

student

57:51

can consult at home at a certain time, and then at a

57:55

certain time in class,

57:57

generating creative and

58:00

collaborative work.

58:02

So, of course, as you rightly said,

58:04

why do students often

58:07

use technology in

58:11

social or

58:15

recreational settings and not use it

58:20

to learn? Why don't we

58:29

tell them, or shouldn't we tell them, or

58:31

should we instruct them, to

58:35

use technological tools

58:37

to save themselves work, to learn

58:39

better, and to motivate themselves? And we are

58:43

able to design technology-based activities

58:47

that save the student

58:50

work and at a certain point, with

58:53

these activities, they can easily see things

58:57

that they don't see with

58:59

more traditional tools.

59:01

Then, technology will make sense and

59:04

help us.

59:06

Technology makes sense as long as we

59:08

contextualize it

59:11

properly to learn something and

59:15

use that

59:17

tool well. No, no, we cannot

59:21

let ourselves be carried away by a trend. Artificial intelligence has been released today

59:24

. Okay,

59:25

I'm going to dedicate myself to working on this.

59:27

As teachers, we have to

59:30

gradually learn how to use each tool

59:34

, seeing how it works, its pros and

59:36

cons. But it's true that

59:40

I am a big advocate of

59:42

technology; in fact, I've been working

59:44

with it for over 25

59:50

years, practically since 2000, and I've

59:54

always tried to implement it in

59:56

the classroom. And they're good. And what about

1:00:01

student motivation? Well, at the

1:00:03

beginning it has a very high curve

1:00:06

because with something new, with something novel, there will

1:00:09

always be a high curve and

1:00:11

then the curve goes down and we have to

1:00:13

try to maintain it, right? The idea is to

1:00:16

diversify the activities, not

1:00:19

only in the past when

1:00:22

math teachers worked

1:00:24

with newspapers, with the graphs that

1:00:26

appeared in

1:00:28

newspapers, we learned in another

1:00:31

way too, or we taught in another

1:00:33

way.

1:00:39

Look, and nowadays technology can be

1:00:41

used for that, and

1:00:44

artificial intelligence will allow me to do a large

1:00:48

number of mathematical problems, to

1:00:50

solve mathematical problems and

1:00:53

all that. I encourage you to

1:00:56

explore that:

1:00:59

experiential learning, experience-based learning,

1:01:04

collaborative learning, creative learning, and especially

1:01:09

technology-mediated learning. Okay? I don't know if I've been able to shed some

1:01:12

light on the things I've

1:01:14

mentioned to you. I hope so. Thank you.

1:01:17

Any further questions?

1:01:20

Yes, thank you, doctor. Uh, do we have anything

1:01:23

else? Any questions? We have three

1:01:25

questions written in the chat,

1:01:28

please read them and answer them however you like;

1:01:32

we did it to make things easier. Two of the

1:01:34

questions here were about

1:01:35

artificial intelligence,

1:01:38

asking if it could help us to

1:01:43

learn, generate more

1:01:46

knowledge, or improve our

1:01:49

knowledge.

1:01:51

Artificial intelligence will help us generate

1:01:54

new knowledge because machines

1:01:57

themselves have a database that

1:02:01

we do not

1:02:03

have; we do not have that

1:02:06

database. So what happens? So,

1:02:14

artificial intelligence is going to help us, it's going to

1:02:18

answer many

1:02:21

questions that we might have

1:02:24

. Because? Because it has

1:02:27

a lot of data.

1:02:29

In fact, he has more and more of it, and he's

1:02:32

training and learning from it, and he's getting

1:02:35

more and more refined and improving.

1:02:38

So, it's not going to help us. The

1:02:41

problem with artificial intelligence

1:02:43

is asking it the

1:02:46

right questions. In other words

1:02:49

, if we are very precise with

1:02:52

the prompt, what we enter in

1:02:57

the GPT chat, for example, and we are

1:03:01

precise and we specify very well

1:03:05

what we want, the

1:03:07

artificial intelligence will return things of higher

1:03:10

quality.

1:03:11

And that's important, it's important to

1:03:15

work along those lines, right? From

1:03:19

teaching people who use

1:03:27

technology.

1:03:29

Yes, yes,

1:03:32

tell me. Yes,

1:03:38

yes. Let's see.

1:03:42

If I open it.

1:03:45

[Music]

1:03:48

Yes. Let's

1:04:02

see [Music]. You can see it yourselves.

1:04:04

Can you tell me? I can't see it. Now.

1:04:06

Now. Yes. I see it now. He's

1:04:27

gone. Let's

1:04:33

see, about diversity and so that we

1:04:39

forget or move away from exclusion a little

1:04:42

.

1:04:43

So,

1:04:46

obviously, with all its

1:04:50

tools, it can perfectly help us

1:04:53

to

1:04:56

solve the gaps, in this case the

1:05:00

gaps of a cognitive nature. How can you

1:05:03

help? Well, simply by firstly enabling

1:05:07

these students with

1:05:12

cognitive disabilities to

1:05:14

interact with

1:05:18

artificial intelligence at a given moment, to

1:05:20

teach them how to

1:05:22

interact, to give them the

1:05:28

technological skills or competencies necessary to

1:05:32

interact with it

1:05:35

in that context,

1:05:40

right? So, we're talking about

1:05:43

tools that have

1:05:47

significant potential at that level. And well, there are

1:05:51

many tools that at a

1:05:54

given moment can help us to

1:05:58

generate

1:06:00

text, image. Often, people with

1:06:04

cognitive disabilities may find it

1:06:07

easier to

1:06:09

interpret or

1:06:16

see an image than to see a text.

1:06:19

So what happens? Well, if

1:06:20

we use the tool that transforms

1:06:22

text into images, then we're going to

1:06:25

help that person, right? So, all

1:06:27

this kind of thing as future

1:06:30

teachers

1:06:33

in the teaching career, well, imagine

1:06:37

a little,

1:06:39

improve, uh, give ourselves uh,

1:06:43

investigate, analyze, see the

1:06:46

tools, see if those tools

1:06:48

help us or take another one, and

1:06:53

the idea

1:06:54

of ​​working with a lot of

1:06:57

tools is not valid either, choose a couple of them,

1:07:06

start working with them, delve a

1:07:09

little into them, look for articles that

1:07:11

people have written about it. In other words,

1:07:13

I highly recommend that you, who

1:07:15

are doctoral students and so on,

1:07:19

go to the databases. There is a

1:07:22

database called

1:07:23

Compus, the

1:07:31

database where

1:07:33

we can find articles from other

1:07:35

teachers who have already encountered

1:07:37

the same problems that you have

1:07:38

at a certain time and have written

1:07:41

about it.

1:07:43

In my specific case, if I write my

1:07:46

name on the internet, Francisco José Ruis

1:07:48

Rey, you will

1:07:50

find on Dialnet, which is a

1:07:53

free and open database,

1:07:56

you can access many of my

1:07:59

articles that have to do with

1:08:01

technology,

1:08:03

plagiarism,

1:08:05

even

1:08:07

rubrics, some of them on

1:08:11

mathematics. There you have, I

1:08:14

think there are twenty-something articles

1:08:17

that have to do with the teaching of

1:08:19

mathematics and not only with the teaching of

1:08:21

mathematics, but with technology and

1:08:24

education and teaching in general. I don't

1:08:29

know if that has answered what my colleague

1:08:33

asked me

1:08:37

. Yes,

1:08:41

yes. Yes, doctor. Uh, we also saw a

1:08:44

question from another colleague,

1:08:46

Anto Cama, who asks us

1:08:49

how to use artificial intelligence in

1:08:51

the context of teaching. What I would need to

1:08:56

know is what type of

1:08:58

teaching he is referring to.

1:09:12

Yes, Anto, please.

1:09:23

Yes,

1:09:25

please write it in the chat so

1:09:27

the doctor can see it.

1:09:31

What type of teaching is the

1:09:33

colleague referring to?

1:09:40

Well,

1:09:42

your microphone is off, Anto,

1:09:45

Antuá, we can't hear anything. Please

1:09:48

unmute your microphone.

1:09:51

I say, for example, teaching

1:09:54

through tasks.

1:09:59

Hello,

1:10:06

any further questions?

1:10:09

[Music]

1:10:11

Uh, not for now, doctor.

1:10:13

The student asked for any

1:10:15

further questions, please.

1:10:20

4 minutes.

1:10:23

Doctor, it seems you are

1:10:26

asking

1:10:29

about task-based learning.

1:10:38

Yes,

1:10:39

could you please answer her about how to work

1:10:43

on the activities in Classro?

1:10:51

Task-based learning.

1:10:56

[Music]

1:11:00

Yes, I don't see the question about it,

1:11:04

but if you can tell me.

1:11:09

Well, he's relating the

1:11:12

activities to previous tasks. I believe

1:11:15

the question is related to

1:11:18

Flut CL. Uh, my colleague is asking me

1:11:21

how to use artificial intelligence

1:11:23

in the context of

1:11:25

teaching L, right? Yes, exactly. I need you to be

1:11:34

a little more specific about what you

1:11:36

mean by L.'s teaching. We

1:11:51

don't hear you.

1:11:57

Write to him. Yes, he writes to me.

1:12:00

Write that down for him.

1:12:09

Yes, okay. Yes, now I understand how to

1:12:12

use it in the context of the

1:12:21

Yes, yes.

1:12:28

Yes, yes, I

1:12:40

can't hear you

1:12:53

Doctor, I believe the question

1:12:56

is related to the first class. I don't

1:12:59

know if you want me to answer Juan.

1:13:03

Mute your microphone. The collection remains

1:13:06

very

1:13:07

low. I don't know, Anto, if you could find the

1:13:11

articles by Dr.

1:13:14

Francisco Ruiz Rey. Oh, and you could look

1:13:19

into the Flip Classroom-related conferences at the University of Malaga,

1:13:24

which would be interesting for

1:13:27

your project.

1:13:32

Okay, we're going to wrap this up

1:13:34

. First of all, we are

1:13:36

very grateful to Dr. Francisco

1:13:39

José Luis for his

1:13:41

lecture, and also for his

1:13:45

answers, for addressing the

1:13:48

students' concerns, and of course

1:13:51

we will share the presentation

1:13:54

you sent so that the

1:13:57

students can consult it. I do

1:14:00

n't know, doctor, if you can

1:14:02

answer the

1:14:04

question of student Antoan Cama

1:14:08

from the University of Senegal.

1:14:12

in Senegal.

1:14:21

Turn off the microphone. What are

1:14:48

they

1:14:50

listening to? Can you

1:14:52

hear me? Yes, doctor, we heard you.

1:14:56

Yes sir. Yes sir. We're

1:15:00

listening to it. Dr. Celina is giving the

1:15:03

closing remarks.

1:15:13

Dr.

1:15:14

Francisco. So, thank you very much,

1:15:18

and you'll be listening to me remotely, uh, I

1:15:22

mean, in a moment. We are

1:15:25

saying goodbye to you, thank you very much, and we

1:15:28

will remain in contact for a

1:15:31

future opportunity. A big hug

1:15:34

from Colombia to you all in

1:15:37

Malaga. See you soon, Dr. Francisco.

1:15:44

Yes, we were.

1:15:52

Yes, they can

1:15:56

hear me.

1:15:59

Yes, you can hear me.

1:16:07

Yes, yes, yes,

1:16:10

yes,

1:16:13

yes, yes.

1:16:30

Well, meanwhile, a big round of applause

1:16:32

for Dr. Francisco

1:16:34

Ruiz Rey. Let's see.

1:16:40

[Music]

More transcripts

Explore other videos transcribed with YouTLDR.

Get the TLDR of any YouTube video

Transcribe, summarize, and repurpose videos in 125+ languages — free, no signup required.

Try YouTLDR Free