Architectural Visualization Student Performance Dataset - Summer 2025 (Cross-Department Course Study)

Architectural Visualization Student Performance Dataset- Summer 2025 (Cross-Department Course Study)

1. Overview

The Architectural Visualization Student Performance Dataset (Summer 2025) presents a detailed record of student performance in two sections of the Architectural Visualization course offered at Daffodil International University (DIU), Bangladesh.

Although the sections were conducted under different academic programs, both followed the same syllabus, course structure, and evaluation process. The course was taught and coordinated by S. M. Monowar Kayser, Lecturer, Department of Multimedia and Creative Technology (MCT), DIU.

The dataset combines the results of students enrolled in:

B.Sc. (Hons) in Environmental Science and Disaster Management (ESDM)

B.Sc. in Multimedia and Creative Technology (MCT)

Its purpose is to support comparative studies, institutional research, curriculum evaluation, and broader educational data analysis.

2. Dataset Composition

Attribute

Description

Total Records

76 student entries

Departments Included

Environmental Science and Disaster Management (ESDM) and Multimedia and Creative Technology (MCT)

Course Title

Architectural Visualization

Course Codes

ESDM 409, 0212-323

Semester

Summer 2025

Credit Hours

3.00

Instructor

S. M. Monowar Kayser, Lecturer, Department of MCT, DIU

Institution

Daffodil International University, Bangladesh

Each record provides a complete academic profile, including attendance, class tests, project-based work, midterm and final exam marks, and the final course grade.

3. Data Structure and Variable Description

Column Name

Description

Type / Format

SL

Serial number (1–76)

Integer

Department

Student’s department (ESDM / MCT)

Text

Course Code

Course identification code

Text

Student ID

Unique registration number

Text

Name of Student

Full name of the student

Text

Attendance (out of 7)

Attendance marks

Numeric

CT-1 / CT-2 / CT-3 (out of 15)

Class-test scores

Numeric

Class Test (out of 15)

Average score from class tests

Numeric

Presentation / Viva (out of 8)

Marks for presentation or viva

Numeric

Assignment (out of 5)

Assignment marks

Numeric

Mid Term (out of 25)

Midterm exam marks

Numeric

Final Exam (out of 40)

Final exam marks

Numeric

Grand Total (out of 100)

Combined total marks

Numeric

Final Grade

Letter grade following DIU grading system

Text

Performance Category

Performance level: High, Moderate, Low, or Very Low / Incomplete

Text

4. Performance Categories

Grade Range

Category

Description

A+, A, A−

High Performance

Excellent mastery of course objectives

B+, B, B−

Moderate Performance

Consistent and satisfactory progress

C+, C, D

Low Performance

Limited achievement; improvement needed

I, F

Very Low / Incomplete Performance

Incomplete or failing outcome

This classification enables consistent comparison across departments and helps identify areas where students may need additional support.

 5. Applications

The dataset can be used for:

Analyzing patterns of student performance

Evaluating curriculum effectiveness

Educational data mining and predictive modeling

Institutional benchmarking and policy design

Visualization and academic research projects

Keywords

Architectural Visualization, Student Performance, Educational Data, Learning Analytics, Academic Performance, Higher Education, Assessment and Evaluation, Data Science in Education, Architecture Education, Design Education, Daffodil International University, Bangladesh, University Students, STEM Education, Education Research, Academic Dataset

### 2025年夏季建筑学可视化课程学生成绩数据集（跨专业课程研究）

1. 概述
本数据集为孟加拉国达芙妮国际大学（Daffodil International University, DIU）开设的建筑学可视化课程两个教学班的学生成绩详细记录。尽管两个教学班分属不同学术培养方案，但均采用统一的教学大纲、课程结构与考核流程。本课程由达芙妮国际大学多媒体与创意技术系（Multimedia and Creative Technology, MCT）讲师S. M. Monowar Kayser授课并统筹。
本数据集整合了以下两个专业学生的课程成绩：
1. 环境科学与灾害管理荣誉理学士学位（Environmental Science and Disaster Management, ESDM）
2. 多媒体与创意技术理学士学位（Multimedia and Creative Technology, MCT）
本数据集旨在支持比较研究、院校研究、课程评估以及更广泛的教育数据分析。

2. 数据集构成
| 统计项 | 说明 |
|-----------------------|----------------------------------------------------------------------|
| 总记录数 | 76条学生有效记录 |
| 涵盖院系 | 环境科学与灾害管理系（ESDM）与多媒体与创意技术系（MCT） |
| 课程名称 | 建筑学可视化 |
| 课程代码 | ESDM 409、0212-323 |
| 学期 | 2025年夏季 |
| 学分 | 3.00 |
| 授课教师 | S. M. Monowar Kayser，达芙妮国际大学MCT系讲师 |
| 所属院校 | 孟加拉国达芙妮国际大学 |

每条记录包含完整的学业档案，涵盖出勤成绩、课堂测验、项目作业、期中与期末考分数以及最终课程成绩。

3. 数据结构与变量说明
| 列名 | 说明 | 类型/格式 |
|-----------------------|----------------------------------------------------------------------|-----------------|
| SL | 序列号（1至76） | 整数 |
| Department | 学生所属院系（ESDM / MCT） | 文本 |
| Course Code | 课程识别代码 | 文本 |
| Student ID | 唯一注册学号 | 文本 |
| Name of Student | 学生全名 | 文本 |
| Attendance (out of 7) | 出勤成绩（满分7分） | 数值型 |
| CT-1 / CT-2 / CT-3 (out of 15) | 单次课堂测验分数（满分15分） | 数值型 |
| Class Test (out of 15) | 课堂测验平均成绩（满分15分） | 数值型 |
| Presentation / Viva (out of 8) | 展示或答辩成绩（满分8分） | 数值型 |
| Assignment (out of 5) | 作业成绩（满分5分） | 数值型 |
| Mid Term (out of 25) | 期中考试成绩（满分25分） | 数值型 |
| Final Exam (out of 40)| 期末考试成绩（满分40分） | 数值型 |
| Grand Total (out of 100) | 综合总分（满分100分） | 数值型 |
| Final Grade | 符合达芙妮国际大学评分规则的字母等级 | 文本 |
| Performance Category | 表现等级：优秀、中等、一般、极低/未完成 | 文本 |

4. 表现等级分类
| 分数区间 | 表现等级 | 说明 |
|----------------|----------------|----------------------------------------------------------------------|
| A+、A、A− | 优秀表现 | 完全掌握课程目标要求 |
| B+、B、B− | 中等表现 | 学习进度稳定且符合预期 |
| C+、C、D | 一般表现 | 学业成果有限，需进一步提升 |
| I、F | 极低/未完成表现 | 未完成课程或成绩不合格 |

该分类标准可实现跨院系的统一比较，并有助于识别需要额外帮扶的学生群体。

5. 数据集应用场景
本数据集可用于以下研究与实践：
1. 学生成绩分布规律分析
2. 课程教学效果评估
3. 教育数据挖掘与预测建模
4. 院校基准对比与政策制定
5. 可视化与学术研究项目

## 关键词
建筑学可视化、学生成绩、教育数据、学习分析、学业表现、高等教育、评估与测评、教育数据科学、建筑学教育、设计教育、达芙妮国际大学（Daffodil International University, DIU）、孟加拉国、高校学生、STEM教育、教育研究、学术数据集