Ananya S Guha lives in Shillong in North East India. He has been writing and publishing his poetry for the last forty years, and has ten collections of poetry to his credit.
Stan sat before the old television set, unmoving. He was just dimly aware that his torso and limbs were arranged in the same posture as Rodin’s “The Thinker,” only in flesh tones instead of the bronze of the sculpture. While Le Penseur had for more than a century captivated observers with its monumental reflection of profound introspection, Stan knew only that he was stoned on peach-flavored vodka and ersatz Nyquil. Like the statue, Stan was totally nude.
It had been a long night. Leaving his sleeping wife alone in the middle of the night to grab a beer and catch some professional wrestling on the tube, he had gotten wildly drunk and stayed that way into the morning. He worked hard as a bricklayer and only cut loose one night a week. He didn’t frequent the bars anymore, and usually held himself together enough to accompany Bree to church on Sunday morning.
He gazed bleakly at the TV, saw on the fuzzy screen only the pointless Sunday morning discussion programs. Stan moved his right elbow from his left knee and bent to retrieve his flask of generic vodka. He then snatched from the TV table the large, trapezoid-shaped bottle of generic cold meds. Decanting the green, gloppy liquid into a small plastic cup, he tossed it back like a shot of tequila. Next he unscrewed the vodka and took a bracing hit. The hair on his arms stood on end.
“I’m ready,” he said aloud, “for a Sunday without football.”
Keys rattled in the locket and through the front door walked Bree. She dropped her purse and a grocery bag on the parson’s table beside the entrance. She stared at her husband and offered up, “Shit-faced again, lover?”
“Is that what you learned at Sunday school today?” asked Stan, promptly falling off the sofa and bonking his head on the edge of the TV.
As he lay there, dazed, Bree sashayed through the living room, took up a vase, removed the fresh-cut flowers and poured the water on her husband’s head. Stan sprang to life at once.
Stan shook himself like a dog. “What’s for lunch?” he slurred.
“Hash. Don’t get up; I’ll serve you where you are.”
“Thanks, ‘hon.”
Bree brings him something ugly in a bowl.”
“Hey Bree, that’s the dog’s food dish.”
“Of course it is, I gave you dog food.”
“Bree, I can only take so much. You know I can leave you at any time.”
“Promises, promises. The checkout guy at the grocery lets me know, every time I shop, that he’s available. Good hair, nice teeth and a body that looks like a Greek statue. You really want to make threats?”
“You think you are so hot! Want to know what the secretaries for the union say about me?”
“Sure, I could use a good laugh.”
“They say I have great penmanship.”
They blink at the other for a moment, and then Bree hides her mouth with her hand and starts to giggle. Stan joins her. Soon they are laughing uproariously.
“Hey Bree, help your drunk old man up so we can watch something on TV.”
“OK, but after that I’ve got to put away groceries.”
Later they leave the TV on but ignore it while making out like a couple of teenagers. The ice cream melts in the bag on the table.
Faculty of Information Security and Computer Technologies
2nd-year student, Information Systems and Technologies
Email: ibroximovahayitxon@gmail.com
Abstract
This article describes the mechanism for creating flexible study plans for students by processing academic data in the 1C:Enterprise system using artificial intelligence. The study analyzes an innovative approach to predicting student potential using neural networks and automatically optimizing the educational trajectory. This method contributes to the digital transformation of educational management.
Keywords: 1C: Enterprise platform, artificial intelligence, individual learning trajectory, personalized learning, data analytics, neural networks, digital education management.
Introduction
Today, the digitalization of higher education is not just about converting statistical data into electronic form, but about transitioning to a completely new model of managing education quality. As the global trend toward personalized education continues to grow, creating individual learning trajectories that match students’ performance levels and interests has become a pressing issue.In higher education institutions of Uzbekistan, the 1C:Enterprise platform is widely used to manage academic processes. Over the years, this system has accumulated a large database (Big Data) of students’ grades, attendance, and subjects. However, current 1C configurations are mainly limited to data collection and archiving functions. Standard curricula are the same for all students and do not take into account each student’s individual cognitive abilities and learning pace.At this point, the need arises to integrate artificial intelligence (AI) algorithms with the 1C system.
AI technologies, especially machine learning models, make it possible to analyze historical data in the 1C database and identify students’ strengths and weaknesses. For example, based on previous semester results, the system can provide “smart” recommendations on which subjects a student should study more deeply or which elective courses to choose.Such an approach not only personalizes the educational process but also helps university management predict student performance in advance and reduce academic underperformance.
Methodology (Methods)
During the research, an intellectual model for managing individual study plans was developed, and the following scientific and technical methods were applied:Data collection and analysis:A dataset of students’ academic activities was created. Input data included students’ academic portfolios. The following parameters were extracted from the SQL database:Static data: entrance scores, chosen specialization
Dynamic data: current grades, midterm results, LMS activity logs
Using Python’s Pandas library, missing values were filled and the data was normalized within the range [0,1].
Application of AI algorithms:Several machine learning models were used:
Clustering (K-means): Students were grouped based on knowledge level and cognitive abilities
Regression analysis: A Linear Regression model was built to predict final exam scores
Prediction: Subjects where students struggle were identified, and additional classes were automatically added
System integration and visualization:AI modules were integrated into platforms like 1C:Enterprise. Visual graphs and charts were created using Matplotlib to track student progress.
Experimental design:Two groups were formed:Experimental group – studied using AI-based individual plansControl group – studied using traditional methods
Results were compared to evaluate effectiveness.
Results
The experiment was conducted during the first semester of the 2025–2026 academic year with 200 students:
Experimental group: 100 students (AI-based system)
Control group: 100 students (traditional system)
Key findings:
Average score:
Experimental group: 84.5
Control group: 71.2→ 18.7% improvement
Low-performing students (<60):Control: 15%AI group: 3%
Prediction model accuracy (R²): 0.892
Early prediction accuracy: 91% (by week 4)
AI automatically added 12 extra hours of training, improving weak results in 85% of cases.
Administrative efficiency:Time to create plans reduced from 45–50 minutes to 35–45 seconds
Errors reduced by 98%
Documents generated automatically in PDF
Survey results:88% of students satisfied with recommendations92% of teachers saved time and focused more on creative work
Discussion
The results show that AI-based management of individual study plans is not just a technical tool but a strategic mechanism for transforming education quality.Adaptive learning: Improved performance by 18.7%
Predictive analytics: Enabled early interventionIntegration effect:
Combined power of Python and 1C improved efficiency
Visualization: Increased student motivation and self-monitoring
Limitations:Data quality issues (GIGO principle)
Need for Explainable AI
AI should support, not replace teachers
Future recommendations: NLP for evaluating written work
Sentiment analysis for student well-being
Mobile applications for real-time updates
Conclusion
This study shows that the era of treating all students equally in education is over. Artificial Intelligence is not just a trend but a powerful tool that improves student performance and reduces teachers’ workload.
Main conclusions:
Student performance increased by 18–20%Early prediction of failures (90% accuracy)Bureaucracy reduced by 80%Strong collaboration between humans and technologyIn conclusion, managing individual study plans through AI is the foundation of future education. Its wide implementation can significantly improve the quality of training modern, competitive specialists.
One day, a girl noticed an old box covered in dust in the corner of her house. Inside it, she found a yellowed sheet of paper with folded corners. She carefully opened the letter. The ink had faded, but as soon as she read the first lines, her heart began to race: “Hello… If you’re reading this, it means time has passed…”
The girl was stunned. She couldn’t remember who had written the letter, yet the words felt familiar—almost as if she had written them herself. They reflected the very feelings she carried inside. The letter spoke of small dreams, fears, and plans that never came true. The last lines tightened her chest:
“How are you living now? Do you remember those dreams?”
The girl fell silent. She once longed for something deeply, but time and noise had pushed those wishes aside. Tears welled up in her eyes. The letter confronted her with her past and present—forgotten and remembered dreams, emotions, and hidden memories. She inhaled slowly. Her heart felt a little lighter. Because she realized: even if time has passed, feelings don’t disappear. There will always be words that remind you of them. You just need to be ready to listen and to feel. Remembering one’s past helps strengthen the emotions within.
Sarvinoz Bakhtiyorova (born in 2011) is considered one of the talented and creative young students of the Ogahiy Creative School. From an early age, she developed a love for literature and has been actively creating works in both prose and poetry. Her interest in poetry emerged early in her life, and her talent began to show during her school years. In particular, while studying in the 5th grade, her first poem titled “Navruz” was published in a collective anthology called “Yangiariq Gulshani,” marking an important step in her creative journey.
Currently, she is studying at the Ogahiy Creative School, where she continues to work on herself consistently, deeply learning the art and intricacies of literature and creative writing. Through her dedication and creative efforts, she is developing into a promising young talent who is expected to achieve even greater success in the future.
I sleep beside an old film where long-forgotten names come and go. Sleep folds away the faces I miss, soaked through with the tears of flowers.
In the place where past words were set loose, unshed cries are tangled, unable to be locked away.
When I dip an old brush, droplets open a path. A breath touches that distant landscape — in the place where hidden flowers bloom alone, there is the heart of the sea. Flowers blooming underwater sway yellow with a trembling grief.
Some springs must gather courage just to be used —
they must be wept through. Hands that had sunk heave up what they could not hold; eyes whose depths cannot be known even after sorrow has drained away. Days we once embraced lie arranged in quiet rows.
Spring returns carrying the word I’m sorry. On the anniversary we meet again, rolled up inside our unfinished speech. I’m sorry for leaving you behind.
봄을 어떻게 사용하느냐고 물었다
연명지
머리맡에 오래된 이름이 드나드는 낡은 필름을 두고 잔다 그리운 얼굴이 접혀 있는 잠은 꽃들의 눈물로 흥건하고
지나간 말을 부려놓은 곳에 잠그지 못한 울음들이 엉켜 있다
오래된 붓을 담그면 물방울들이 길을 연다 그 아득한 풍경에 닿아 있는 숨 혼자 숨어 핀 꽃들의 자리에 바다의 심장이 있다 물속에 핀 꽃들이 노랗게 울렁거린다
어떤 봄은 용기를 내서 울어야 사용 할 수 있다
가라앉은 손들이 울컥 게워놓은 슬픔마저 빠져나간 깊이를 알 수 없는 눈빛들 껴안았던 날들이 가지런히 놓여 있다
미안하다라는 말이 돌아오는 봄 기일에 만난 우리들 말 속으로 말아 올려지는 두고 와서 미안해
Mother’s Empty Room
By Yeon Myung Ji
When blood bloomed from her children’s fingers, Mother would grind cuttlefish bone to dust And cover our wounds.
In her final years, she was a map of tender pressure points; She placed a heavy boulder atop the eyelids of life. Leaving us—who once played beneath the shelter of her bones— She let go of the hands she held until the end, Taking not a single one with her as she went alone.
A certain someone, who wrote that we should rejoice In having something left to leave behind, Shed the tears of a bird. And her children, sinners before their mother, Stifled their tears, pressing them deep down. They hid them in haste So no one could ever find them.
Those who have buried a loved one in their hearts Know how to unlock and bolt the gates of grief. Though there is no scripture on how to mourn well, Lips that met for the first time wailed out loud. In three days, every trace of Mother Was summoned away by the wind. The woman who, in life, stayed only in her room, Now hides within the fringe tree branches, within the breeze.
If blood should ever seep from her children’s fingers, She seems ready to appear, clutching a piece of cuttlefish bone. Even in death, she is Mother; With that very word, “Mother,” she still cradles us.
엄마의 빈 방
Yeon Myung Ji
엄마는 새끼들 손가락에서 피가 나면 갑오징어 뼈를 갈아 상처를 덮어주었다.
늘그막의 엄마는 온통 압통점이어서 생의 눈꺼풀 위 묵직한 바위 하나 올려놓았다. 당신의 뼈 아래에서 놀던 우리를 남겨두고 마지막으로 잡았던 손들 하나도 데려가지 않고 혼자 갔다.
무언가 두고 갈 것이 있다는 걸 기뻐하라는 글을 남긴 어떤 이는 새의 눈물을 흘렸고 어미 앞에 죄인인 새끼들은 눈물을 꾹꾹 숨겼다. 누구도 눈물을 찾지 못하도록 바삐 숨겼다 누군가를 가슴에 묻어본 사람들은 눈물을 열고 잠그는 방법을 안다.
잘 울어야 한다는 교리가 있는 것도 아닌데 처음 본 입술은 깔깔 울었다. 엄마의 흔적은 사흘 만에 바람으로 불려갔고 살아서는 방에만 있던 엄마는 이팝나무 가지에, 바람 속에 숨어 있다.
새끼들 손가락에 피가 나면 얼른 오징어 뼈를 들고 나타날 것만 같은 엄마는, 죽어서도 엄마 그 엄마라는 말로 여전히 우리를 다독인다
Profile
Poet Yeon Myeong-ji began her literary career in 2013 with the poetry collection 『Gashibi』, published in the Minerva Poetry Series.
Her published works include the poetry collections 『Sitting Like an Apple』 and 『Where would the House of the Sorry’ be? 』 the e-poetry collection 『Seventeen Marco Polos,』 and the travel essay 『Step by Step, Walking the Camino.』
She has received the Tolstoy Literary Award, the Homi Literary Award, the Cheongsong Gaekju Literary Award, and the Aviation Literary Award. In 2025, she was awarded the Bronze Prize in Poetry at the Literature Asia Awards.
Her poems have been translated and published in local languages in India, Pakistan, Kosovo, Italy, Egypt, the United States, and Belgium.
