Linking Assignment

Linking #1: Task 1 What’s in your bag? by Mandy Alves

https://blogs.ubc.ca/alvesetec540/2021/09/09/task-1-whats-in-your-bag/

As I am also a mom of three girls, I could easily relate to the contents in Mandy’s bag (who is also a mother of two daughters). We both have some similar items, such as kid’s snacks, toys, and allergy medications.

I really liked how she presented her bag items in the picture by labelling each item with text. They were easy to identify and her reflection with the Bitmojis made reading more pleasant.

In her reflection she mentioned that she uses emoticons in her written texts to insert her feelings and this reminded me of myself proofreading important text messages multiple times before sending them to avoid misunderstanding by the recipients. These days people communicate by emails and instant text messages more often rather than talking on the phone or in person. Communication through written texts is convenient but it can easily bring misinterpretation and miscommunication because text cannot accurately convey tones, emotions, facial expressions, gestures, body language, or eye contact. In that sense I appreciate the invention or development of emoticons ! 😉

 

 

Linking #2: Task 4 Potato Printing by Delian

https://blogs.ubc.ca/etec540delian/2021/10/03/task-4-potato-printing/

We both chose to do potato printing instead of manual scripts. The difficulty of carving the letters was a bit higher for Delian as her word has more letters with curves and holes. Still, the steps for making stamps were similar for both of us. We both had a challenge with the extra moisture on the open surface of the potatoes. We both overcome that challenge in different ways: Delian used an acrylic paint instead of water-based paint and I dried the surface to control the extra moisture but used a water-based paint. From the picture of her potato printing, I can see that she also used a towel under the paper when stamping.

We both appreciated the development of  the letter press system in mechanization of writing and the convenience of writing technology that we have today.

I agree with the argument in Delian’s reflection that “hand”-writing changed human cognition as when I do any writing assignments, my thinking process works better when jotting down ideas and reading what’s written on paper. But I have also experienced a flow of thoughts and ideas while typing words into the keyboard and then on the computer screen. Maybe the hand-brain connection could be explained with the hypothesis of the movement of hands and fingers improving brain activity and its performance.

 

 

Linking #3: Task 6 Emoji Story by Kirn Bhela

https://blogs.ubc.ca/etec540bhela/2021/10/12/task-6-an-emoji-story/

At first, I thought the first symbol was to describe that it was based on a book or an essay as I assumed that her emoji story would be in the similar format as mine (an emoji for the type of story whether it is a book, a tv series, or a movie and then more emoji(s) to describe the title of the story). To write this reflection I re-visited Kirn’s post and realized that she actually did mention that her emoji story is based on a movie she recently watched in the introduction above the vemoji story.

After several unsuccessful attempts of decoding the arrays of emojis to figure out the name of the movie (which I did not know it was a movie at that time), I started reading others’ responses below the post and I realized that the very first emoji was for the title of the movie, “Notebook” which is one of my favorite movies all time! Even though I could not guess the title of the “story” on my own, the plot of the story was easy to follow and understand.

In Kirn’s reflection she said that she examined her emoji keyboard and realized that the number of emojis for love and happiness far outnumbers any other emotions or expressions. I think that’s a great observation and I can also see that there are so many emoticons with heart(s) in various colours to represent love and affection  

We both talked about the convenience of using emojis to communicate with people who do not share common languages or who do not have similar literacy competency. For Kirn, it was for her parents whose native language is not English; for me it was my 7-year-old daughter with limited English vocabs.

 

 

Linking #4: Task 7 Mode Bending by Stephanie Carr

https://blogs.ubc.ca/etec540scarr/2021/10/23/task-7-mode-bending/

I really liked the idea of using a song to deliver the content of this task. Without looking at the picture of her bag items I was able to visualize how her daily life would look like with the bag items. It felt like I was watching a short video of her typical day.

Songs are fun and I find that they are interestingly easy to deliver “challenging” stuff in learning. For instance, I learned to memorize the multiplication table by singing or chanting the multiples when I was young, and they are stuck in my memory forever because of that experience. Another simple example is young children learning alphabets by singing. I am sure that if we go search online, there are tons of songs created by someone to help them or others remember challenging and complex ideas.

A very important point Stephanie mentioned in her reflection is to be able to reach students in diverse levels and modes of learning through multimodality. I also agree that learning or presenting learning experience through different modes (verbal, visual, auditory…) is crucial for our students with diverse learning needs. Providing students with multiple modes/options/choices (multimodality) to express their thoughts, learning experience, and knowledge is so important, just like we have been in this course.

 

 

Linking #5: Task 8 Golden Record Curation by G. Ellen Reid

https://blogs.ubc.ca/ereid/intergalactic-golden-record/

Grace and I had somewhat similar criteria in curating the 10 tracks. Mine were being pleasant to listen and representing diverse cultures of humans on Earth; Grace’s were communicating human experience to aliens and evoking emotion and movement.

Our criteria are personal and subjective; however, surprisingly there were 6 tracks in common in both of our curations. I really like the image that she added at the end of her post; it sums up the criteria and the rationale behind her choices.

 

 

Linking #6: Task 9 Network Assignment Using Golden Record Curation Quiz Data by Anu Thale

https://blogs.ubc.ca/etec540anu/2021/11/06/task-9-network-assignment-using-golden-record-curation-quiz-data/

While my focus of examining the representation of the data was to figure out logical or mathematical reasons to formation of such communities, Anu’s focus was finding examples where we can find connectivism and interconnected communities in our lives.

I remember that I had a hard time understanding the rationale of this task and I tried to understand the data and articulate my findings logically and mathematically. I did not think about applying my findings from the given data into real life examples as she has done in her reflection. I really appreciate her examples, such as food webs and circle of life.

We both recognized the lack of reasons for selecting 10 tracks in the data representation by Palladio.

 

 

Final Project: Describing Communication Technologies

Machine Translation Technology Infographic

References

Briggs, N. (2018). Neural machine translation tools in the language learning classroom: Students’ use, perceptions, and analyses. JALT CALL Journal14(1), 3–24. https://doi.org/10.29140/jaltcall.v14n1.221

Ducar, C., & Schocket, D. H. (2018). Machine translation and the L2 classroom: Pedagogical solutions for making peace with Google translate. Foreign Language Annals51(4), 779–795. https://doi.org/10.1111/flan.12366

Herrmann, B. (2021). EVALUATING Machine Translation FOR GLOBALIZATION STRATEGIES. Information Today38(9), 33–34.

Lake, V. E., & Beisly, A. H. (2019). Translation Apps: Increasing Communication with Dual Language Learners. Early Childhood Education Journal47(4), 489–496. https://doi.org/10.1007/s10643-019-00935-7

Lee, S.M. (2020). The impact of using machine translation on EFL students’ writing. Computer Assisted Language Learning33(3), 157–175. https://doi.org/10.1080/09588221.2018.1553186

Sawant, D. (2013). History of Translation. Literary Endeavor. 4. 109-115.

Wikipedia contributors. (2021, November 24). Translation. In Wikipedia, The Free Encyclopedia. Retrieved 08:33, December 7, 2021, from https://en.wikipedia.org/w/index.php?title=Translation&oldid=1056939076

Wikipedia contributors. (2021, November 24). Machine translation. In Wikipedia, The Free Encyclopedia. Retrieved 08:34, December 7, 2021, from https://en.wikipedia.org/w/index.php?title=Machine_translation&oldid=1056985959

Task 12: Speculative Futures

Speculative Future 1 (Dystopian):

Emily is 5 years old and she will be starting Kindergarten this September, 2051. Today is the day she gets her kinder shots, and her parents are both excited and anxious to finally receive the insight and prediction of Emily’s future professional career. Emily’s parents have gathered all the artifacts and records of the first 5 years of Emily’s life, and they submit them to a computer and AI analyzes the data and tells the parents their child’s future career path. Often what AI predicts the future of a child can be far different from what the child wants to be when he or she grows up and it can bring disappointments, frustrations, and challenges. Before participating the future career prediction program, parents should agree that they would not reveal the future professions to their children for the analysis results to be accurately applied to their children’s future. Just as with any agreements, accidents can happen, and some children can be unintentionally exposed to their AI generated future predictions. Some may feel happy and impressed with their future prediction and decide not to put their best effort into their lives just because they feel their perfect lives are already mapped out for them; others fall into despair and disappointments because of the difference between the prediction and the desire. Some may feel that they can challenge the AI and become what they want to be to prove against the AI prediction. But would taking a different career path against the prediction make the person’s life happier and more satisfying? Maybe what the AI “suggests” could be for the human’s happiness, success, and wellbeing in the future. Also, another possibility is that some organizations can sneak into behind the design and manipulate the algorithm to “balance” out the variety of jobs in the future. I really cannot tell the true intention of the AI future diagnosis program until how the algorithm is designed and how the data is analyzed.

 

Speculative Future 2 (Utopian):

Emily is 5 years old and she will be starting Kindergarten this September. In 2051, there are still physical school buildings exist in public education, but a lot of children are learning from home with the help of AI super Teaching Assistant (TA). In the past, especially during the COVID pandemic in 2020 when schools were locked down, home schooling or distance learning was challenging for many working parents to find balance between their work and their children’s education. Thanks to the development of AI super TA and its availability 24/7, now parents can afford to homeschooling their children even if they have to work during the school hours and students can receive instant assistance and personalized learning in their education by AI super TA. Also, this development of AI super TA has resolved the childcare crisis in the past: shortage of childcare workers, facilities and increased cost of child care.

Inspiration: https://engineering.stanford.edu/magazine/article/how-ai-based-super-teaching-assistant-could-revolutionize-learning

 

Task 9: Network Assignment Using Golden Record Curation Quiz Data

Tracks

Frequency

Track 6: El Cascabel  

14

Track 14: Melancholy Blues  

14

Track 18: Fifth Symphony (First Movement)

13

Track 7: Johnny B. Goode  

11

Track 11: The Magic Flute (Queen of the Night aria)  

11

Track 25: Jaat Kahan Ho  

11

Track 3: Percussion (Senegal)  

11

Track 21: The Fairie Round  

10

Track 10: Gavotte en rondeaux  

10

Track 24: Flowing Streams  

10

Track 5: Morning Star Devil Bird  

9

Track 13: Panpipes and Drum (Peru)  

9

Track 9: Tsuru No Sugomori (Crane’s Nest)  

8

Track 2: Kinds of Flowers  

8

Track 23: Wedding song  

7

Track 15: Bagpipes (Azerbaijan)  

7

Track 20: Night Chant  

7

Track 12: Tchakrulo  

7

Track 27: String Quartet No. 13 in B flat  

7

Track 1: Brandenburg Concerto (First Movement)  

6

Track 26: Dark Was the Night  

6

Track 16: Rite of Spring (Sacrificial Dance)  

5

Track 19: Izlel je Delyo Hagdutin  

5

Track 17: The Well-Tempered Clavier  

5

Track 22: Panpipes (Solomon Islands)  

4

Track 8: Men’s House Song  

2

Track 4: Pygmy Girls’ Initiation Song  

2

 

Communities

Number of Edges

Community 1

60/60

Community 2

60/60

Community 3

50/50

Community 0

49/49

It was a great way to visualize connectivity of members in each community generated by Palladio. The size of nodes indicates the “order” of the track among the community members. The higher order (the track is shared by higher number of members) means the bigger node size.  I could move the nodes around and extend/shorten the edges to see the connections more clearly.

I noticed that each track is selected by at least two people and the most popularly selected tracks are shared by 14 out of 22 people. Comparing my 10 choices with the above table, I noticed that majority of my selections are in the top half of the table.

There are 22 curators (ie, the participants to the Voyager’s Golden Record curation quiz) and they are grouped into 4 different communities. Examining the number of nodes and edges in the graphs, I noticed that one of the curators in Community 0 has selected only 9 tracks as opposed to 10 tracks and this explains the total number of edges (49) in Community 0. Also, I noticed that in all 4 communities, there are no tracks shared by all members of the community.

To attempt to figure out Palladio’s criteria of generating these 4 communities out of these 22 curators in such ways, I examined each community’s shared tracks, frequency/degree, “null” choices (ie, unselected tracks), number of nodes, average degree, and density. The last two properties can be found under Global Metrics in Palladio.

Both Community 1 and Community 2 share the same number of tracks (22), the same number of curators (6) and the same average degree value (4.28571429). I have looked through the data and maps/visual representations and some mathematical calculations to justify Palladio’s interpretation of the data. Despite my efforts to discover logical or mathematical reasons behind creating such communities, I could only conclude that the most popularly shared tracks in each group of Community 1, 2, 3, and 0 tend to be in lower part of the frequency table of 27 tracks as their average degree values decrease. (I am not sure if that makes sense to explain my findings to you)

I can only assume that the program performed some mathematical calculations to generate each group’s highest possible average degree value. As I did not indicate my reasons for selecting my 10 tracks when I completed the Quiz, obviously, reasons for choosing and not choosing such tracks are not evident in the visualization. Just because two people chose the same track does not mean that they made their choices for the same justification. The members who share the same community may have been connected by misleading, misinterpretation, or assumption of the given data.

Task 8: Golden Record Curation

I have selected the following 10 tracks from the Voyager’s Golden Record with the help of my children as if we were aliens listening to the record for the first time. Our criteria of selection were being pleasant enough to finish listening to the complete selection of the tracks and being inclusive of diverse cultures of humans. We tried to avoid including the tracks that have loud and high pitch sound because we did not want to scare the aliens away with unpleasant hearing experience, assuming that they would have similar range of audio spectrum or hearing abilities as human. For young children it was very prompt and easy to identify pleasant sounds to their ears.  Also, we wanted to better represent the cultural diversity of humans by selecting songs from different parts of Earth.

After completing this week’s required reading and viewing, I contemplated the rationale of this Golden Record assignment. I think this curating activity was to experience the preparation and process of digitization: deciding which one to keep and which one to lose and justifying the selection. As Dr. Smith states in her article, “In order to digitize them, curators familiar with the materials sift through collections and make selections from them. The amount of physical preparation and intellectual control work that is needed for every digital project is very large indeed. Scanning is a very expensive process, and most of the cost occurs before the item is laid on the scanner. Part of that cost is the physical preparation of, research into, and description of an item” (Smith, 1999).

 

Track Number Name
5. Australia, Aborigine songs, “Morning Star” and “Devil Bird,” recorded by Sandra LeBrun Holmes. 1:26
6. Mexico, “El Cascabel,” performed by Lorenzo Barcelata and the Mariachi México. 3:14
7. “Johnny B. Goode,” written and performed by Chuck Berry. 2:38
9. Japan, shakuhachi, “Tsuru No Sugomori” (“Crane’s Nest,”) performed by Goro Yamaguchi. 4:51
10. Bach, “Gavotte en rondeaux” from the Partita No. 3 in E major for Violin, performed by Arthur Grumiaux. 2:55
14. “Melancholy Blues,” performed by Louis Armstrong and his Hot Seven. 3:05
15. Azerbaijan S.S.R., bagpipes, recorded by Radio Moscow. 2:30
17. Bach, The Well-Tempered Clavier, Book 2, Prelude and Fugue in C, No.1. Glenn Gould, piano. 4:48
21. Holborne, Paueans, Galliards, Almains and Other Short Aeirs, “The Fairie Round,” performed by David Munrow and the Early Music Consort of London. 1:17
24. China, ch’in, “Flowing Streams,” performed by Kuan P’ing-hu. 7:37

 

Smith, A. (1999). Why digitize? Retrieved June 15, 2019, from Council on Library and Information Resources

Task 7: Mode-bending

 

Woah!

I am so glad that I finally finished recording myself talking about my typical day with my “diaper” backpack. Reading and referring to the multimodal layer diagram in New London Group’s (1996) article, I contemplated how I could change the semiotic mode of Task 1 to a different one for several days and I finally decided to verbally talk about my day with my essentials in the backpack with some audio effects to help listeners visualize my day, the bag items and myself.

So, my story starts with a key jiggling sound at my garage in the morning, trying to double check if my essentials are all in the bag before leaving home with three my children. After dropping off two of my daughters at their school, I am heading to a recreational centre with my youngest daughter for her dance class. Toddler’s nut-free snacks and diaper changing necessities are pulled out of my bag to use. On the way to a park for play time and lunch my daughter falls asleep and once again my MET studying essentials: cellphone, pen, paper, and Air Pods come in handy to utilize this waiting time.

I tried to use two different modes of meaning:

  • Audio Design: oral language and audio effects help visualizing how the bag items are used and what they are meant to the storyteller.
  • Visual Design: even though my story does not include any pictures or animations (if I had more time and technology skills, I would have included animations or movie to make this task more complex), the setting of the time and the place that I take my bag allows the audience to visualize objects and movements.

After learning and thinking about multimodal literacies this week, as a mathematics teacher, I think this multimodality can also be applied to numeracy and mathematical representations. For instance, abstract mathematical concepts can be delivered and understood more successfully using various modes of meaning and their design elements, such as visual, spatial, or gestural design as opposed to merely using written texts.

 

The New London Group.  (1996). A pedagogy of multiliteracies: Designing social futures. Harvard Educational Review 66(1), 60-92.

Task 6: Emoji Story

????:????????????????????????????

????????‍????‍????????????????????????????????????????????????????????????????????
????‍????????????????‍♀️????????????????
????????????????????????????????????????????????❤️????❤️

 

Reflection:

To complete the task, I started with the title. As I could not find emojis to transcribe the exact text in the title, I used multiple emojis that may help readers decode the title. I showed the array of the emojis to my 7-year-old who does not know the exact word(s) in the title, and she was able to describe what each picture may represent and how they would link to each other. Even though she could not come up with the correct word(s) for the title because of a lack of vocabs in her word bank,  she was able to get the “idea” of what I was trying to represent using these emojis. What I experimented with my daughter can be described by Bolter (2001) as he contends that “two readers could explain the same message in different words, and speakers of different languages could share the same system of picture writing. Picture writing is perhaps constructed culturally (even today) as closer to the reader” (p. 59).

Readers may not share the same languages, but they may share similar cultures, then the intended ideas and meanings of picture writing can be successfully delivered across. But then again if the writer’s intention is for readers to decode the picture writing into the exact text and readers have not watched or heard of the show before, then it would be challenging for them to interpret the pictures to the writer’s intended word(s).

In English we read from left to right and from top to bottom and I assumed that my readers would read my emoji story in the same direction as I created the story as I would write it in English text. If it was read by someone whose language uses different script direction, then it would cause confusion and the intended meaning of the story would not be able to be delivered successfully.

Bolter, J. D. (2001). Writing space: Computers, hypertext, and the remediation of print (2nd ed.). Mahwah, N.J: Lawrence Erlbaum Associates. doi:10.4324/9781410600110

Task 5: Twine Interactive Storytelling

Title: Will You Have Time for Your Assignment Today?

Inspiration: This is based on my life every day, juggling work, kids, family, and study. I can so relate to this interactive story because my life is full of making choices to complete my daily tasks successfully. There is also a true bitter lesson at the end of the game if you fail at completing the assignment.

Goal: To make time to work on your assignment and complete it today so you can spend the weekend with your family.

Reflection: I had a whole week to complete this task, creating an interactive game using Twine, but I really procrastinated on starting this assignment this week because creating an interactive game using an unfamiliar program was very intimidating. I did not feel confident and I had to read several introductory how-to tutorials on the web. I also browsed through many interactive fictions created by Twines as examples to get a good sense of expectations of this week’s task. These are my “excuses” for dragging myself until this weekend to do the assignment, but to be honest, I was too intimidated that my game would be too simple and silly compared to those games that I found on the Internet.

Okay, so here is me sitting at a table and jotting down a story line. As I normally write a rough work on paper first before start writing, I started brainstorming the big ideas using flowcharts on a notebook. Once I decided the start, choices, and the end, I started creating the story on Twine, carefully following the step-by-step manual. Creating screens, linking them using hypertexts and manipulating functions were not as complicated as I had thought they would be.

While completing the task, I have found a few things that could be improved.

  • Spell checker was not available on Twine. I noticed several typos when executed the game and I had to edit, re-save, re-upload the file on an external website, and then re-embed the link on my blog numerous times. If I had to create another Twine game, I would create a flowchart on MS Word and then copy and past the text on Twine to save time for spellchecking.
  • Word counter on Twine would be helpful to display the text on the Twine game screen. When testing my game, I noticed several pages were not displaying the full text. Some hyperlinks were not displayed on the screen because of word count limit, so the game could not be continued to the next page. To resolve this problem, I divided the long text into two pages using a hyperlink such as “Next Page” and I think that it also helps players follow the story easier, not overwhelming them with too much text to read on one page.
  • Twine is case sensitive so if I use the words “You” and “you” then they will not link to the same page. I do not think that it is something the program needs to improve, but it is something that Twine users need to be careful. Make sure to double check your links.

Overall, I really enjoyed this week’s challenges in learning to use Twine. I just wish that I had more time to make the game more complex and learn to modify the appearance of the game. And again, stop procrastinating for the next week’s task!

Task 4: Potato Printing

As I tried this potato stamp activity on National Day of Truth and Reconciliation in Canada on September 30, I decided to create the stamps for the word, “child” from the slogan Every Child Matters in orange to reflect on the meaning of the orange shirt.

Before starting with the process of carving or cutting out the shapes on the potatoes, I sketched the desired images of the letters on paper, examined them and planned how and what configuration of the letters need to be carved on the potato pieces.

H and I are symmetrical both horizontally and vertically, so they were the easiest letters to carve as I just needed to carve the letters as I see them on paper. Also, even if I stamp them flipped, the correct images will be produced.

C, L, and D are asymmetrical so there were some plans and confirmations required in designing these letters.

C and D are easier than L as they are asymmetrical only in the horizontal direction (vertically symmetrical) while L is asymmetrical in both directions.

At first, I thought I would have to take the horizontally flipped images of C and D to create the correct stamps, but as they are vertically symmetrical, it was fine to carve the letters as I see them on paper, just like H and I. After creating the stamps, I just needed to rotate them 180 degrees then I could produce the correct images of C and D on paper.

For the letter L stamp, I took the mirror image of L to carve on the potato.

As the three stamps required attention to the direction of holding them when stamping, I wrote the letters on the top of the stamp “handles” to indicate how I would need to hold them to stamp the letters correctly.

Before printing the word in a good copy, I tried stamping on scrape paper a few times. I tried dapping the stamps directly in the paint and the outcome was not so successful. So, I tried brushing the paint on the stamp to ensure that the surface is evenly coated and it was much better. I tried stamping on paper placed on the surface of the table, and some of the letters were not printed clean as the surface of the potato stamps was not flat and smooth. So, I tried putting a towel underneath the paper and the cushion from the towel helped printing the letters evenly.

As you can see from the first letter from the first copy of the word, more paint was printed. Cut-out potatoes tend to develop moisture on the open surface, so before applying the paint on the stamp, I dried the surface first to control the amount “ink”.

The whole process of designing the images, creating the stamps and printing the word twice took me about 40 minutes. I was only creating an image of a 5-letter of word, but if I was printing a book or a page-length document using this method of printing, it would take so much time and effort.

However, considering the time, cost and the amount of man-made mistakes in handwriting, the letter press system in mechanization of writing is far advanced and as long as the stamps are available to use, reproducing the text is much faster than handwriting.

This week’s activity has made me appreciate the convenience of writing technology that we have today. Type, erase, copy, paste, and print. So convenient!

Task 3: Voice to Text

Unscripted storytelling using the Google speech recognition on voicetotext.org

Before I start talking about how I prepared my middle child Caitlin her name is Caitlin for her kindergarten this year you have to understand her personality and how she was attending when attending our daycare Caitlin started her daycare at Age 2 and 1/2 and her older sister Allison went there together for about a year before she went off to kindergarten during the last three years of going to the daycare Caitlin was very nervous to be separated from me and cried at drop off almost every morning so basically she hated good to go anywhere away from me because of her separation issue Caitlin was not able to participate in any extracurricular activities she was very interested she is very interested in sports such as skating gymnastics that’s swimming God since these programs require kids at age over 5 to attend without parents she was unfortunately not able to enjoy it too. She is interested in I understand. It is. It is common for young kids to be nervous and new environment but she is so different from my job first child Alison when she was at Caitlin’s age so it was a bit challenging for me and my husband as we were not able to make my make Caitlin you feel comfortable safe and happy sometimes I think maybe the anxiety and depression issues caused by be perfect breastfeeding her too long until she turned a 15 months . so it has been over two weeks now since she started kindergarten this month and she cried when you first 2 days last week and she tried standing against the wall and waited for the start belt so it’s surprising me she’s been doing she’s been doing so much better than what the anticipated but she is still or she still gets nervous in the morning and as the weekend gets closer to Monday so there are about two things that we’ve have tried to prepare Caitlin to be successful in kindergarten first thing is to talk about fun things about kindergarten and bake basically the school in general so since her older sister is already attending the school that she is attending she’s starting so we talked about fun things School events playground Parks anything interesting things dad kids do in in the school and also sometimes we go to we go to the school on the weekends just to see the school the building to get her to be more comfortable in the environment second thing that we did was to talk about her emotions why she’s nervous and why she’s about to cry so we asked her to talk to talk to us when she get nervous and when she’s about to cry so he asked her to talk about what kind of emotions and what kind of Heelys she is experiencing so so that we can come up with some solutions that we can help her feel better and safer so every morning I asked her how she’s feeling are you nervous what is what kind of emotions do you have inside your belly. That’s what I asked and she sometimes tells me she’s nervous nervous because there is no one she knows and she feels that there’s going to be no friends that she can play indoor recess time  and then I asked her if I  I could give her a hug to to help her feel better and that has been working well too 2 to help her cope with her anxiety and a separation issues so so far Caitlin has been very positive about going to school and she even said she can try going to to a gymnastic class by herself. so whatever we’ve been trying to help our nervous middle child to be successful in a new environment has been successful and now we are working tours to helping her be more independent

 

Analysis:

The transcript text is different from the written English in its organization and details of the story. Even though I had thought about the topic and the contents of my story beforehand, as soon as I hit the microphone button on the program, I became under pressure to come up with what I was going to say next as my story continued. There were frequent pauses and Ums and Ahs in the recording which fortunately were not transcribed to the text. If my story was scripted, then it would have been more organized and included more descriptive details to improve the story more interesting.

Despite the pressure and spontaneity required, when storytelling orally and unscripted, it takes only the duration of your speech to complete the task (here I took 5 minutes to tell the story). On the other hand, if the story was scripted, it would take longer than 5 minutes to brainstorm, organize, write, proofread, edit, and practice the written text to deliver the story more effectively to its audience. After listening to Walter J. Ong’s lecture excerpt saying writing changed how people talk and how people organize their thoughts (Abe Aboud, 2014). I think that one of the reasons why literate people tend to take longer time to write a text is that they want to produce written pieces in similarly sophisticated ways that they have read and heard before, otherwise they do not look and sound educated and do not fit into the world that they live in.

The most common mistake in my text is the absence of punctuations and it made the whole story written in one single sentence. I consider this the most critical mistake because it makes hard to understand and follow the story in the transcript form. Even if I made a clear pause during the speech to indicate an end of a sentence and a start of a new sentence, the program was not able to detect my intention, unless I would specifically state the name of punctuations, such as period, comma, exclamation mark, or question mark.

Another common mistake is repetition of words or phrases in the text. As the story was recorded unscripted and required spontaneity to come up with what I was going to say next, there were some moments where I spoke the same sentence all over again or repeated some words and phrases to buy myself some time to think the next part of the story.

Imagine a person with a speech or language disorder was using a speech-to-text program. The outcome of the transcript text would contain numerous repetitions and other “mistakes” and the readers of the text would not know if these mistakes were intentional, accidental, or program errors. If the story was delivered orally, the audience would understand the underlying conditions and it would help the audience to comprehend information in this unique setting.

Also, I believe that scripted or unscripted oral storytelling has benefits of conveying the speaker’s emotions in facial expressions (visual storytelling) and in voice (audio storytelling) which will enhance the story than when it is delivered in the written form.

 

Reference: 

Abe Aboud. (2014, September 8). Walter Ong – Oral Cultures and Early Writing [Video]. YouTube. https://www.youtube.com/watch?v=uvF30zFImuo&t=360s