Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 5 |
Since 2016 (last 10 years) | 9 |
Since 2006 (last 20 years) | 14 |
Descriptor
Source
International Educational… | 5 |
International Association for… | 4 |
International Working Group… | 3 |
Grantee Submission | 1 |
International Society for… | 1 |
Author
Barnes, Tiffany | 2 |
Heckman, Sarah | 2 |
Lynch, Collin | 2 |
Ahmed Ashraf Butt | 1 |
Andrea Domínguez-Lara | 1 |
Asmaa Bengueddach | 1 |
Bielikova, Maria | 1 |
Carvalho, Leandro S. G. | 1 |
Case, Donald | 1 |
Cohen, Anat | 1 |
Cristea, Alexandra I. | 1 |
More ▼ |
Publication Type
Speeches/Meeting Papers | 24 |
Reports - Research | 12 |
Reports - Descriptive | 4 |
Opinion Papers | 2 |
Guides - Non-Classroom | 1 |
Historical Materials | 1 |
Information Analyses | 1 |
Reports - Evaluative | 1 |
Education Level
Higher Education | 11 |
Postsecondary Education | 10 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Gao, Zhikai; Lynch, Collin; Heckman, Sarah; Barnes, Tiffany – International Educational Data Mining Society, 2021
As Computer Science has increased in popularity so too have class sizes and demands on faculty to provide support. It is therefore more important than ever for us to identify new ways to triage student questions, identify common problems, target students who need the most help, and better manage instructors' time. By analyzing interaction data…
Descriptors: Automation, Classification, Help Seeking, Computer Science Education
Gabbay, Hagit; Cohen, Anat – International Educational Data Mining Society, 2022
The challenge of learning programming in a MOOC is twofold: acquiring programming skills and learning online, independently. Automated testing and feedback systems, often offered in programming courses, may scaffold MOOC learners by providing immediate feedback and unlimited re-submissions of code assignments. However, research still lacks…
Descriptors: Automation, Feedback (Response), Student Behavior, MOOCs
Andrea Domínguez-Lara; Wulfrano Arturo Luna-Ramírez – International Association for Development of the Information Society, 2022
The automatic code generation is the process of generating source code snippets from a program, i.e., code for generating code. Its importance lies in facilitating software development, particularly important is helping in the implementation of software designs such as engineering diagrams, in such a case, automatic code generation copes with the…
Descriptors: Programming, Coding, Computer Software, Programming Languages
Asmaa Bengueddach; Djamila Hamdadou – International Society for Technology, Education, and Science, 2024
The COVID-19 pandemic, an unprecedented global health crisis, has not only significantly impacted public health but has also caused substantial disruptions to conventional education systems. In response to these challenges, our institution has undertaken innovative measures within the realm of education. A pivotal aspect of our response involves…
Descriptors: Personal Autonomy, Online Courses, Educational Change, Coding
Saira Anwar; Ahmed Ashraf Butt; Muhsin Menekse – Grantee Submission, 2023
This study explored the effectiveness of scaffolding in students' reflection writing process. We compared two sections of an introductory computer programming course (N=188). In Section 1, students did not receive any scaffolding while generating reflections, whereas in Section 2, students were scaffolded during the reflection writing process.…
Descriptors: Scaffolding (Teaching Technique), Writing Instruction, Writing Processes, Writing (Composition)
Gitinabard, Niki; Okoilu, Ruth; Xu, Yiqao; Heckman, Sarah; Barnes, Tiffany; Lynch, Collin – International Educational Data Mining Society, 2020
Teamwork, often mediated by version control systems such as Git and Apache Subversion (SVN), is central to professional programming. As a consequence, many colleges are incorporating both collaboration and online development environments into their curricula even in introductory courses. In this research, we collected GitHub logs from two…
Descriptors: Teamwork, Group Activities, Student Projects, Programming
Fonseca, Samuel C.; Pereira, Filipe Dwan; Oliveira, Elaine H. T.; Oliveira, David B. F.; Carvalho, Leandro S. G.; Cristea, Alexandra I. – International Educational Data Mining Society, 2020
As programming must be learned by doing, introductory programming course learners need to solve many problems, e.g., on systems such as 'Online Judges'. However, as such courses are often compulsory for non-Computer Science (nonCS) undergraduates, this may cause difficulties to learners that do not have the typical intrinsic motivation for…
Descriptors: Programming, Introductory Courses, Computer Science Education, Automation
Gonzalez, Ruben – International Association for Development of the Information Society, 2017
There are many difficulties with learning and teaching programming that can be alleviated with the use of software tools. Most of these tools have focused on the teaching of introductory programming concepts where commonly code fragments or small user programs are run in a sandbox or virtual machine, often in the cloud. These do not permit user…
Descriptors: Programming, Computer Science Education, Automation, Advanced Courses
Kyrilov, Angelo; Noelle, David C. – International Association for Development of the Information Society, 2014
Information technology is now ubiquitous in higher education institutions worldwide. More than 85% of American universities use e-learning systems to supplement traditional classroom activities while some have started offering Massive Online Open Courses (MOOCs), which are completely online. An obvious benefit of these online tools is their…
Descriptors: Grading, Automation, Feedback (Response), Computer Science Education
McBroom, Jessica; Jeffries, Bryn; Koprinska, Irena; Yacef, Kalina – International Educational Data Mining Society, 2016
Effective mining of data from online submission systems offers the potential to improve educational outcomes by identifying student habits and behaviours and their relationship with levels of achievement. In particular, it may assist in identifying students at risk of performing poorly, allowing for early intervention. In this paper we investigate…
Descriptors: Data Collection, Student Behavior, Academic Achievement, Correlation
Fridenfalk, Mikael – International Association for Development of the Information Society, 2013
A system was developed for automatic generation of problems and solutions for examinations in a university distance course in discrete mathematics and tested in a pilot experiment involving 200 students. Considering the success of such systems in the past, particularly including automatic assessment, it should not take long before such systems are…
Descriptors: Automation, College Mathematics, Item Banks, Test Items
Heiner, Cecily; Zachary, Joseph L. – International Working Group on Educational Data Mining, 2009
Students in introductory programming classes often articulate their questions and information needs incompletely. Consequently, the automatic classification of student questions to provide automated tutorial responses is a challenging problem. This paper analyzes 411 questions from an introductory Java programming course by reducing the natural…
Descriptors: Classification, Questioning Techniques, Introductory Courses, Computer Science Education
Quevedo, J. R.; Montanes, E. – International Working Group on Educational Data Mining, 2009
Specifying the criteria of a rubric to assess an activity, establishing the different quality levels of proficiency of development and defining weights for every criterion is not as easy as one a priori might think. Besides, the complexity of these tasks increases when they involve more than one lecturer. Reaching an agreement about the criteria…
Descriptors: Data Analysis, Scoring Rubrics, Evaluation Criteria, Automation
Simko, Marian; Bielikova, Maria – International Working Group on Educational Data Mining, 2009
To make learning process more effective, the educational systems deliver content adapted to specific user needs. Adequate personalization requires the domain of learning to be described explicitly in a particular detail, involving relationships between knowledge elements referred to as concepts. Manual creation of necessary annotations is in the…
Descriptors: Foreign Countries, Data Analysis, Individualized Instruction, Electronic Learning
Thomsen, Paulli – 1979
This paper identifies and describes four braille production systems that are currently in use: (1) manual--the printed material is transcribed onto braille, proof-read, corrected, and printed; (2) semi-automated--computers or microprocessors transcribe and/or translate the text from ink-print to braille but depend on a manual entry of the text to…
Descriptors: Automation, Braille, Computer Science, Magnetic Tape Cassettes
Previous Page | Next Page »
Pages: 1 | 2