Scheme Source : www. en.wikiversity.org
Cognition Definition: Co (together) + gnoscere (to know) = coming to know. Cognitive Psychology is the science of how the brain processes information and generates your illusion of reality.
Cognitive Psychology study about flow of information from input (stimulus) to output (response), perception, attention, emotions/affect, memory, language, learning, reasoning & decision making, problem solving , creativity.
Information Processing Model
If we talk about information process, there are some terminologies relate to the process, they are sensory memory, perception, short term memory and long term memory. Stimuli as the input can be received by our body through the sensory memory (five senses), then it goes to other process that we call as sensory register. In registering the memory, it is really depend on the capacity itself, duration and also the content. If all the factor are suitable, it will be processed to the next step. It is perception, based on the Cambridge Dictionary, perception is a belief or opinion, often held by many people and based on how things seem. Perception also refers to the way sensory information is organized, interpreted, and consciously experienced.
Based on the Gestalt terminology, there are some processes in absorbing the sensory. Bottom-up process and Top-down process. Perception involves both bottom-up and top-down processing. Bottom-up processing refers to the fact that perceptions are built from sensory input. On the other hand, how we interpret those sensations is influenced by our available knowledge, our experiences, and our thoughts. This is called top-down processing. Although our perceptions are built from sensations, not all sensations result in perception. In fact, we often don’t perceive stimuli that remain relatively constant over prolonged periods of time. This is known as sensory adaptation. But there are another factors that can make storing memory works better. Attention and Rehearsal can increase the duration of the registering the memory. So it will be kept longer in our brain.
What are the differences between STM and LTM ?
Short term memory:
Very fast input; limited capacity: 5-20 seconds duration: contain words, images, ideas, sentences: Immediate retrieval.
Long term memory:
Relatively slow input; Practically unlimited capacity: Practically unlimited duration : Contains networks, schemata : Retrieval depends on connections
As an educator, we must understand the principal of transforming information. We do not have to understand about neuroscience but at least we do understand how the information that we deliver in the classroom can be easily kept in student’s memory and it would last long.
Meta-cognitive materials will be discussed for the next.
Source:
Materi Kuliah Psikologi Pendidikan. Universitas Indraprasta.2015
Published by Galuh Catur WP on Monday, August 8, 2019.
Science study is learning about natural phenomena, the easiest way to learn about science is delivering the natural phenomena to the laboratory by a modelling after that science process is needed in order to get the conclusion. There are six components of science process skills :
Observing
This is the most basic skill in science. Observations are made by using the 5 senses. Good observations are essential in learning the other science process skills.
Examples:
a. The learner will be blind folded and make observations using the sense of touch.
b. The learner will create observations about a coin using the 5 senses.
c. The learner will mix primary colors to create more colors.
Classifying
After making observations it is important to notice similarities, differences, and group objects according to a purpose. It is important to create order to help comprehend the number of objects, events, and living things in the world.
Examples:
a. The learner will use a magnet to classify objects as magnetic or nonmagnetic.
b. The learner will use a balance and sort objects according to mass.
c. The learner will combine different liquids with water to determine which is more or less dense.
Measuring
Measuring is important in collecting, comparing, and interpreting data. It helps us classify and communicate with others. The metric system should be used to help understand the scientific world.
Examples:
a. The learner will find the mass of different liquids that have the same volume.
b. The learner will use technology to find the speed of a toy truck.
c. The learner will measure the distance a marble travels.
Communicating
is important to be able to share our experiences. This can be done with graphs, diagrams, maps, and spoken word.
Examples:
a. The learner will create a line graph showing the relationship between speed and the mass of a marble.
b. The learner will discuss possible errors with other classmates.
Inferring
An inference is an explanation based on an observation. It is a link between what is observed and what is already known.
Examples:
a. The learner will write a conclusion at the end of each investigation.
b. The learner will create inferences about observations they made about a mystery object. I infer it is solid rather than hollow.
Predicting
What do you think will happen? It is an educated guess based on good observations and inferences about an observed event or prior knowledge.
Examples:
a. The learner will predict what is a box based on observations using the sense of touch.
b. The learner will write a hypothesis about the effect of increasing the salt on the buoyancy of an egg.
This is an incredibly easy ice breaker games to play and you won't need any materials, just a group of people. It is ideal for 10 to 15 people, but if you have a larger gathering, divide people up into teams so it doesn't take longer than 15 to 20 minutes to get through everyone.
To get started, give out the instructions to the group by letting them know that each person will introduce themselves by stating two truths and one lie. They don't have to be intimate, life-revealing things, just simple hobbies, interests, or past experiences that make each person unique. The lie can be outrageous, wacky, or sound like a truth, making it even harder for the other participants who have to guess which statement is a lie.
Each person goes one at a time, and the group has to guess which statements are true, and which statement is a lie. It's up to your group if you wish to keep score and see who correctly guesses the lies, or just play for fun to get to know each other.
For example, "Hi, I'm Mary. My hair was almost to my waist in high school, I talked to Cher in an airport coffee shop, and I speak four languages." Many people might assume that talking to Cher in an airport would be most unlikely, and choose that as the lie. However, Mary also might not speak four languages, or maybe her hair was never that long.
When giving your own two truths and one lie, to help increase the difficulty for the others who have to guess the lie, be sure to speak slowly and clearly on all three statements. Some players opt to stick with three short and simple statements to avoid giving away too much information with tone or body language. Others choose a theme to stick with for their statements. "Hi, I'm John. I used to have blue hair, I drive a blue car, and I love blueberries."
When guessing the lies of the others in your group, watch for changes in tone, rate of speech, voice changes, and nervous body language, all of which could be signs that the statement someone is giving is a lie. You can always ask them to repeat their statements, as well.
In the instance that you're in a group with someone you know well, don't give it away and rob the other players of a chance to get to know that person. Hold your comments and speak up only at the end if not one else gets it. And, share how you know that person.
Once you get started, it's super easy and can be very funny. You'll often find that some people's truths are more unbelievable than their lie.
By : Deb Peterson
reference: www.thoughtco.com
References:
Google Images
References:
Schunk, D.H., 2012. Learning theories an educational perspective. Pearson Education, Inc.
Learning Theory in Digital Age Material. School of Education.University of Nottingham.2022
Learning Activities
Is the writing above interesting to read? The article above is an example of an AI creation called ChatGPT, a phenomenon that is being "hotly" discussed in the academic world today. Here are my views on this matter:
Has anyone tried chatGPT yet? Just go straight to the page, or you can watch on YouTube (look at my favourite video here too) how ChatGPT is used to make money. Actually, AI is not a new thing because it has been around since the 1950s (see: The Beginning of AI), but its current development is really "Alerting". Calm down; I'm not anti-AI.
AI, and more specifically, AI writing, is more accurate and precise in the instructions given. As written on its website, OpenAI mentions chatGPT to answer follow-up questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests. Moreover, chatGPT-4 is more creative and collaborative than ever before. It can generate, edit, and iterate with users on creative and technical writing tasks, such as composing songs, writing screenplays, or learning a user's writing style, AND accept visual input. Can you imagine what's next?
We live in an era of technology and the internet, but how do we use it? I still remember when the translator called "alp*alink" was considered cheating while learning English. Or when I introduced Grammarly to a friend of mine, he was so enthusiastic: "How come it's really good to have someone correct your sentences?" Is the translator able to replace students in order to communicate? I don't think so. Even Google Translate still has a lot of limitations, as is the case with Grammarly, and there are lots of responses that don't match what we want.
Have you ever watched a Marvel movie called M3GAN? Here, I'll give you a little spoiler: M3GAN is an artificial intelligence marvel, a lifelike doll programmed to be a child's best friend and a parent's best ally. M3GAN, designed by Gemma, a brilliant roboticist, can listen, watch, and learn while acting as a friend and teacher, playmate, and protector. When Gemma is unexpectedly entrusted with her 8-year-old niece, she decides to give the girl an M3GAN prototype, a decision that has unforeseeable consequences. What do you think—isn't it scary if there is a real incident like that?
I tested the chatGPT to review some topics. Right now, I am focusing on reviewing representational competence. Typing "write 500 words about representational competence!" The result is viola! Like the writing above [in my humble opinion because I am still learning to write], there is a conclusion with a coherent sentence structure and neatly accompanied by examples. In terms of quantity, I checked that the resulting writing was 430 words, meaning it didn't match what was requested. However, the thing that bothers me the most is that there are no key researchers who discuss this topic; Kozma and Russell MUST appear when discussing representational competence. But when I asked to review articles from Kozma and Russell, all I got were formative writings that didn't mention any of the important points in the article, such as the five levels of representational competence. I was then curious enough to ask for references. And it presented several references, which in the end I checked one by one; out of the five references, only one was valid. Basically, I tried three times; other topics are multiple representations and design-based research. The result has the same pattern as I explained earlier; sadly, my supervisor's name, Shaaron Ainsworth, doesn't appear when discussing multiple representations.
As part of the world of education, I have to be prepared for the challenges that we are facing now because technology does not always have to be used. Many things can be used as analogies, such as hob, coffee machine, bread machine, and even hair straighteners. The analogy I'm going to use is wood-fired cooking vs. cooking on a hob. For culinary enthusiasts, of course, they believe that the use of firewood will produce a different taste compared to a hob, even though it is time-consuming. Several pizza vendors in Nottingham, who may be of Italian origin, still maintain the use of wood-fired ovens. In Indonesia, maybe you can make Nasi Liwet. Even though the technology on the hob is getting more sophisticated day by day, such as being able to provide well-distributed heat and cook faster, the point is unique taste. AI is getting more sophisticated day by day, but AI is still a "big data servant," not a concoction of a special recipe called the "author" of a work. As humans, we are not the same as one another; therein lies the uniqueness that will show our quality.
We welcome the existence of ChatGPT as an advance in human civilization, but it must still be based on kindness and humanity. Even though, most concern regarding the phenomena of chatGPT in education is about integrity and fairness in assessment (Sok, S and Heng, K, 2023; Rudolph, J, Tan, S, and Tan, S, 2023). However, ChatGPT might be utilized to improve teaching and learning (Baidoo-Anu, D and Owusu Ansah, L, 2023). I argue that AI will bring benefits in human activities in the future, as long as the individual is aware of how to use it wisely. For instance, I talked to 2 Engineer master students of UoN, they realised it helps them in gaining some ideas, but they re-checked the validity. Indeed, at the University of Nottingham, any form of assignment must be subject to plagiarism checking. As a student, this phenomenon can be a catalyst for understanding something, giving new ideas, which of course you have to double check as truth. As educators, since AI "has not" been able to replace teachers, we must not close ourselves off or limit students' use of AI. Use AI to catalyse the learning process so that the activation energy for understanding concepts is lower and noble characters are still produced as humans at the end of learning. It is important that we instill in our students that their work, be it assignments, projects, or exams, is a "masterpiece" that they can be proud of. There is no use for numbers on a report or certificate; the main thing is how the process occurs: the process of getting it, the process of understanding it, and the process of applying it.
Skil satu ini tentu tidak asing di dunia pendidikan saat ini. Sebagai salah satu skil yang harus dikuasai untuk menghadapi tantangan abad 21, computational skill digadang-gadang menjadi elemen dasar untuk dapat memecahkan masalah, sehingga wajib diajarkan di setiap jenjang pendidikan.
Salah satu defini CT yaitu menurut bbc.co.uk, computational thinking memungkinkan kita untuk mengambil masalah yang kompleks, memahami apa masalahnya dan mengembangkan solusi yang mungkin, kemudian menyajikan solusi ini dengan cara yang dapat dipahami oleh komputer, manusia, atau keduanya. Skill ini dikaitkan dengan empat terminologi khas milik computational science, antara lain decomposition, pattern recognition, abstraction, dan algorithms.
Adalah Jeanette Wing (2006) sebagai pencetus istilah computational thinking yang kemudian berkembang di dunia pendidikan tidak hanya computational science area. Menurut saya adalah hal yang tidak masuk akal dimana manusia malah harus memiliki sistem kerja otak yang dianalogikan dengan sistem kerja komputer ataupun setiap harus harus berpikir layaknya computer scientist. Ini adalah sebuah reversible idea. Manusia selaku pencipta komputer tentu saja pada dasarnya telah memiliki skill tersebut. Saat membahas analogi ini, pastinya kita akan teringat dengan teori pemrosesan informasi pada saat belajar psikologi kognitif. Namun kita lupa jika teori terus berkembang dan melahirkan teori-teori baru yang lebih masuk akal. Pola pikir yang benar adalah manusia menciptakan komputer dengan sistem kerja seperti otak manusia bukan sebaliknya. Komputer diciptakan untuk membantu kehidupan manusia, salah satunya belajar.
Dalam teori constructivism Piaget, memecahkan masalah yang dihadapi adalah sebuah proses konstruksi yang sejatinya dimiliki setiap individu. Bagaimana rute dalam menyelesaikan masalah, jalan mana yang lebih efektif dan efisien tentu merupakan bagian dari konstruksi sebagai "constructing a meaningful product". Kemudian ada teori constructionism milik Seymour Papert (1980) dengan pembelajaran menggunakan LOGO jauh sebelum Wing memperkenalkan istilah computational thinking. Dengan bantuan komputer, siswa diminta mengkreasikan pola-pola tertentu berdasarkan instruksi yang diberikan. Dengan beberapa pemicu, siswa mampu mengkreasikan pola-pola baru. Ini menunjukkan istilah computational thinking memiliki arti yang lebih legit sebagai skill dasar yang telah dimiliki manusia. Dalam pandangan saya, apa yang dilakukan Seymour dalam pembelajaran juga telah menunjukkan bagaimana computational thinking bekerja dalam dirinya. Dan dalam pembelajaran yang dilakukan Saymour, menunjukkan computational thinking sebagai kemampuan menggunakan komputer untuk membantu belajar pengetahuan baru tidak sepenuhnya salah, namun fokusnya bukan pada komputernya melainkan pada pemikirannya ("My central focus is not on the machine but on the mind -S. Papert, 1980)
Hal yang membuat saya berpikir keras adalah interpretasi computational thinking yang diejawantahkan secara eksplisit dalam RPP menggunakan empat terminologi yang saya sebutkan sebelumnya. Saya kembali teringat pada saat menjadi guru, saya membuat RPP yang selalu berganti format di setiap pergantian kurikulum. Kalau dulu membuat RPP dengan scientific approach diwajibkan harus ada tertulis tahapan-tahapan seperti mengamati, menanya, hingga mengkomunikasikan. Lah kok sekarang, untuk membelajarkan CT, kembali lagi guru diminta menuliskan tahapan decomposition, pattern recognition, abstraction, dan algorithms. Tentu hal ini menjadi beban pikiran guru. Lah wong konsep dalam tahapan menanya saja sudah beragam interpretasinya. Ada yang bilang menanya itu adalah sesi untuk siswa bertanya mengenai topik yang akan dipelajari, namun ada juga yang bilang menanya itu adalah sesi bagi guru memberikan pertanyaan-pertanyaan yang bisa men-trigger siswa untuk lebih perhatian dan siap dalam menerima pelajaran. Ini nyata terjadi di lapangan. Terbayangkan bagaimana sekarang jika RPP harus ada tahapan-tahapan CT tersebut? Ini adalah interpretasi yang salah besar menurut saya. Haruskah perkembangan pendidikan di Indonesia berkutat dalam hal administrasi? Karena saya percaya sejatinya pembelajaran yang dilakukan guru kekinian pasti sudah menerapkan pembelajaran "multi model" dengan beragam strategi dan metode yang bertujuan untuk meningkatkan kemampuan kreatifitas, kolaborasi, komunikasi, dan berpikir kritis.
Apakah computational thinking bisa dipisahkan dari kreatifitas, kolaborasi, komunikasi, dan berpikir kritis? Bukankah dalam berpikir kritis, pembelajar juga mengalami proses identifikasi, dekomposisi masalah, hingga memutuskan apa yang terbaik sebagai solusinya. Bukankah dengan berpikir kreatif, pembelajar juga sudah mengalami proses yang unik dalam menghadapi masalah dan menciptakan solusinya. Saya hanya berharap ke depan pelaku pendidikan di Indonesia bisa lebih bebas berkreasi dalam memajukan kualitas pendidikan, tidak sebatas FOMO akan topik-topik yang sedang tren dalam diskusi ilmiah global namun diterjemahkan dalam konteks administratif semata.
Referensi:
Diterjemahkan dari: https://liberalarts.online/trivium-and-quadrivium/
Pernah dengar istilah VARK, singkatan dari Visual, Auditory, Read/Write, Kinesthetics? Empat gaya belajar yang dicetuskan oleh Fleming (1987) ini tentu tidak asing ditelinga para pendidik. Memang di era 70'an, istilah gaya belajar sedang populer dalam diskusi aademis global. Seorang peserta didik dianggap memiliki kecenderungan untuk mengadaptasi strategi tertentu dalam hal menyerap, mengatur, dan mengelola informasi yang diterimanya. Masing-masing gaya belajar dikatakan memiliki ciri masing-masing, sehingga diharapkan seorang guru mampu memahami dan menentukan strategi yang tepat dalam mengajarkan masing-masing gaya belajar siswanya. Pemahaman seperti ini saya rasa sudah berlangsung cukup lama, hingga muncullah kritik terhadap gaya belajar ini. Saya sendiri sebelumnya menyakini hal tersebut, tersadar ketika berdiskusi dengan supervisor saya di Nottingham. Karena fokus penelitian saya mengenai multiple representations, yang sedikit banyak bersinggungan dengan multi-modalities. Beliau menyatakan "saya tidak percaya dengan gaya belajar VARK, lack of evidence about it, terlebih gaya belajar dalam memberikan keuntungan dalam belajar". Lalu saya tergerak untuk mengkajinya lebih jauh lagi dengan membaca beberapa hasil penelitian atau kritik terhadap gaya belajar ini.
Salah satunya dari peneliti Swansea University menyatakan, gaya belajar dikatakan tidak efektif dan berbahaya bagi pembelajar. Sebagai contoh, "a student categorized as an auditory learner may end up thinking there is no point in pursuing studies in visual subjects such as art, or written subjects like journalism and then be demotivated during those classes". Tambahnya lagi, dari sisi pendidik tentu akan menjadi masalah karena sangat tidak efektif dan menghabiskan waktu untuk menganalisis gaya belajar siswa dalam satu kelas. Telebih lagi memikirkan strategi yang tepat dalam memfasilitasi masing-masing gaya belajar. Dalam situsnya, british council juga menyatakan beberapa poin mengapa pendidik perlu menghindari gaya belajar. Diantaranya:
Hasil penelitian neurosiantis menyatakan ide ini tidak masuk akal. Hal ini dikarenakan beragam informasi akan diproses di bagian otak yang berbeda-beda, akan tetapi di dalam otak semuanya saling terkait maka jika salah satu aktif demikian halnya yang lain akan ikut aktif. Sehingga "penampakan" gaya belajar tidak ada hubungannya dengan bagaimana otak bekerja. Contoh sederhana yang bisa saya pikirkan adalah saat guru memberikan tayangan audio visual, maka informasi baik secara visual maupun audio akan masuk ke dalam otak untuk diproses, mengenai informasi yang bagaimana yang akan dilanjutkan ke dalam long term memory tentu berkaitan dengan banyak faktor. Namun yang pasti keduanya bekerja.
Gaya belajar bukan atribut yang konsisten. Hal ini sejalan dengan hasil penelitian Krätzig and Arbuthnott, yang berjudul "http://medsci.indiana.edu/c602web/tbl/reading/Kratzig_learningstyles_edpsych_2006.pdfPerceptual Learning Style and Learning Proficiency: A Test of the Hypothesis". Hasil menunjukkan tidak adanya kecocokan kedua metode yang digunakannya.
Ada kepentingan bisnis dibalik meshing hypothesis ini. Dengan tertanamnya pemahaman tersebut maka akan banyak pengeluaran dana untuk mengukur atau mengkategorikan gaya belajar siswa.
Saya sendiri pernah berpikir pada saat saya belajar mengenai peran visualisasi dalam pembelajaran. Saya melihat kemustahilan penggolongan gaya belajar dalam meningkatkan hasil belajarnya. VARK ( visual, auditory, read/write, kinesthetics), dari kepanjangannya saja kita bisa melihat ada kesamaa antara visual dan read/write. Representasi visual dapat berupa gambar ataupun tulisan. Representasi visual juga bisa bersifat dinamis (animasi) maupun statis (gambar). Seorang siswa lebih suka menulis daripada berbicara tidak mengindikasikan bahwa siswa tersebut memiliki gaya belajar read/write semata. Dalam prosesnya, informasi yang dia terima beragam, dan di proses di otak. Sehingga apa yang mau ia tampilkan sebagai output tidak serta merta menunjukkan hanya satu modalitas saja yang diproses. Contoh sederhananya pada saat belajar bahasa baru seperti saya memberikan gambar orang sedang makan seperti gambar di bawah.
Dalam bahasa Indonesia: Dia makan
Dalam bahasa Inggris: She eats
Dalam bahasa Italy: lei mangia
Dalam bahasa Spanyol: Ella come
Apakah siswa dapat paham terjemahan makan dalam beragam bahasa jika hanya diberikan gambar?/ gambar dan pengucapan?. Imitating dilakukan untuk informasi yang diberikan. Jika diberikan suara mungkin siswa bisa melafalkan. Akan tetapi jika diberikan lengkap baik gambar, suara pelafalan, dan tulisannya maka siswa akan lebih memahami, Apalagi untuk bahasa yang aksaranya unik-unik macam arab, china, jepang, korea ya. Ini menunjukkan multi representasi/multi modalitas bekerja dalam otak untuk menghasilkan hal baru. Adapun nantinya siswa akan lebih pandai dalam hal berbicara/menulis itu adalah preferensi own representation.
Jadi menurut saya, pengelompokan gaya belajar VARK pada siswa tidak semestinya dilakukan karena tidak membawa benefit baik kepada pendidik maupun siswa itu sendiri.
Referensi:
https://www.britishcouncil.org/voices-magazine/four-reasons-avoid-learning-styles-one-alternative