检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

4 篇 会议

馆藏范围

4 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

4 篇 教育学
- 4 篇 教育学
4 篇 工学
- 4 篇 计算机科学与技术...
- 1 篇 软件工程

主题

4 篇 in-class coding
3 篇 active learning
3 篇 cs1
2 篇 performance mode...
1 篇 active-learning
1 篇 live-coding
1 篇 mini-lectures

机构

3 篇 univ memphis mem...
1 篇 univ wisconsin m...
1 篇 univ wisconsin m...
1 篇 univ wisconsin m...

作者

3 篇 hicks eric
2 篇 malasri kriangsi...
2 篇 phan vinhthuy
1 篇 cook amy
1 篇 patel jignesh m.
1 篇 raj adalbert ger...
1 篇 zaman alina
1 篇 vinhthuy phan
1 篇 halverson richar...

语言

4 篇 英文

检索条件"主题词=in-class coding"

共 4 条记录，以下是1-10 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

in-class coding Exercises As A Mechanism To Inform Early Intervention In Programming Courses 2025

In-class Coding Exercises As A Mechanism To Inform Early Int...

引用

56th Technical Symposium on Computer Science Education

作者： Hicks, Eric Phan, Vinhthuy Univ Memphis Memphis TN 38152 USA

ISBN: (纸本)9798400705328

Early intervention is critical in increasing student success in Computer Science (CS) courses, which have attracted a diverse student population. In-class exercises, which are often low-stake and quick assignments, are a popular method for active learning and formative assessment. This study explores the potential of using in-class coding exercises for early intervention in programming courses, particularly before midterm exams. We analyzed historical data from a CS1 course to evaluate whether in-class coding exercises can predict midterm exam performance. Our findings reveal that in-class coding exercises are effective predictors of midterm performance and can serve as valuable tools for early intervention. Specifically, exercise scores and time on task are sufficient indicators of student performance. Although in-class exercises are less powerful predictors than traditional metrics, they offer quicker actionable insights. Additionally, predicting students who are struggling is more feasible than forecasting those who will fail or achieve specific letter grades. This research underscores the potential for designing targeted intervention schemes to support students in CS1 and other programming courses, highlighting the importance of timely and data-driven support mechanisms.

关键词： active learning CS1 in-class coding performance modeling

来源：评论

学校读者我要写书评

暂无评论

Enhancing Student Performance Prediction In CS1 Via in-class coding 2025

Enhancing Student Performance Prediction In CS1 Via In-Class...

引用

56th Technical Symposium on Computer Science Education

作者： Hicks, Eric Vinhthuy Phan Malasri, Kriangsiri Univ Memphis Memphis TN 38152 USA

ISBN: (纸本)9798400705311

Computer science's increased recognition as a prominent field of study has attracted students with diverse academic backgrounds. This has significantly increased the already high failure rates in introductory courses. To address this challenge, it is essential to identify struggling students early on. Incorporating in-class coding exercises in these courses not only offers additional practice opportunities to students but may also reveal their abilities and help teachers identify those in need of assistance. In this work, we seek to determine the extent to which the practice of using in-class coding exercises enhances the ability to predict student performance, especially early in the semester. Based on data obtained in a CS1 course taught at a mid-size American university, we found that in-class exercises could improve the prediction of students' eventual performance. In particular, we found relatively accurately predictions as early as academic weeks 3 through 5, making it possible to devise early intervention strategies. This work can benefit future studies on the impact of in-class exercises as well as intervention strategies throughout the semester.

关键词： active learning CS1 in-class coding performance modeling

来源：评论

学校读者我要写书评

暂无评论

Is More Active Always Better for Teaching Introductory Programming? 6

Is More Active Always Better for Teaching Introductory Progr...

引用

6th International Conference on Learning and Teaching in Computing and Engineering (LaTiCE)

作者： Raj, Adalbert Gerald Soosai Patel, Jignesh M. Halverson, Richard Univ Wisconsin Madison Comp Sci & Educ Madison WI 53706 USA Univ Wisconsin Madison Dept Comp Sci Madison WI USA Univ Wisconsin Madison Dept Educ Leadership & Policy Anal Madison WI USA

ISBN: (纸本)9781538678978

Introduction to programming is usually taught using a wide range of instructional techniques. Some common techniques among them are mini-lectures, live-coding and in-class coding. Each of these three techniques require varying level of student activity. In this study, we taught programming to a group of students using these three techniques. We collected data in the form of a survey to understand the students' perceptions on these three instructional techniques. The results suggest that students like techniques that require a moderate level of student activity (e.g., live-coding) more when compared to techniques that require a great deal of student activity (e.g., in-class coding). We believe that our work has the potential to help instructors design their instructional techniques using a student-centric approach.

关键词： Active-learning live-coding mini-lectures in-class coding

来源：评论

学校读者我要写书评

暂无评论

Keep It Relevant! Using In-class Exercises to Predict Weekly Performance in CS1 2022

Keep It Relevant! Using In-class Exercises to Predict Weekly...

引用

53rd Annual ACM SIGCSE Technical Symposium on Computer Science Education (SIGCSE)

作者： Hicks, Eric Cook, Amy Malasri, Kriangsiri Zaman, Alina Phan, Vinhthuy Univ Memphis Memphis TN 38152 USA

ISBN: (纸本)9781450390705

In large programming courses, it can be difficult for instructors to identify students who need help. Often the earliest indication of trouble is when a student fails an exam, which unfortunately can be too late. Using data from 7 sections of CS1 over multiple semesters, we show that performance on lab and in-class coding exercises can be used to accurately predict which students will fail or struggle on upcoming weekly lab assignments. We found that recent relevant in-class coding exercises were the best features for building accurate models. This approach has potential in helping CS1 instructors identify students who need help, determine which topics need additional attention, and formulate intervention plans, all on a weekly basis before each lab meeting.

关键词： active learning CS1 in-class coding

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共1页 << < 1 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：