NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing all 13 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Marjahan Begum; Pontus Haglund; Ari Korhonen; Violetta Lonati; Mattia Monga; Filip Strömbäck; Artturi Tilanterä – Informatics in Education, 2024
There can be many reasons why students fail to answer correctly to summative tests in advanced computer science courses: often the cause is a lack of prerequisites or misconceptions about topics presented in previous courses. One of the ITiCSE 2020 working groups investigated the possibility of designing assessments suitable for differentiating…
Descriptors: Foreign Countries, College Students, Prerequisites, Computer Science Education
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Bekkering, Ernst; Harrington, Patrick – Information Systems Education Journal, 2023
This paper describes the study of enforcement of prerequisites in the Computer Science program at a regional university in the Southwest. Prerequisites are a significant factor in programs of study in higher education. Allowing students to register in courses may assume that they have existing knowledge and skills. Some programs treat…
Descriptors: College Students, Computer Science Education, Prerequisites, Governance
Peer reviewed Peer reviewed
Direct linkDirect link
Webb, Kevin C.; Zingaro, Daniel; Liao, Soohyun Nam; Taylor, Cynthia; Lee, Cynthia; Clancy, Michael; Porter, Leo – ACM Transactions on Computing Education, 2022
A Concept Inventory (CI) is an assessment to measure student conceptual understanding of a particular topic. This article presents the results of a CI for basic data structures (BDSI) that has been previously shown to have strong evidence for validity. The goal of this work is to help researchers or instructors who administer the BDSI in their own…
Descriptors: Measures (Individuals), Concept Formation, Computer Science Education, Test Results
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Mangaroska, Katerina; Sharma, Kshitij; Gaševic, Dragan; Giannakos, Michalis – Journal of Learning Analytics, 2020
Programming is a complex learning activity that involves coordination of cognitive processes and affective states. These aspects are often considered individually in computing education research, demonstrating limited understanding of how and when students learn best. This issue confines researchers to contextualize evidence-driven outcomes when…
Descriptors: Learning Analytics, Data Collection, Instructional Design, Learning Modalities
Peer reviewed Peer reviewed
Direct linkDirect link
Liao, Soohyun Nam; Zingaro, Daniel; Thai, Kevin; Alvarado, Christine; Griswold, William G.; Porter, Leo – ACM Transactions on Computing Education, 2019
As enrollments and class sizes in postsecondary institutions have increased, instructors have sought automated and lightweight means to identify students who are at risk of performing poorly in a course. This identification must be performed early enough in the term to allow instructors to assist those students before they fall irreparably behind.…
Descriptors: Prediction, Low Achievement, Tests, Scores
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Mühling, Andreas – Journal of Educational Data Mining, 2017
This article presents "concept landscapes"--a novel way of investigating the state and development of knowledge structures in groups of persons using concept maps. Instead of focusing on the assessment and evaluation of single maps, the data of many persons is aggregated and data mining approaches are used in analysis. New insights into…
Descriptors: Concept Mapping, Data Collection, Electronic Publishing, Educational Theories
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Maaliw, Renato R. III; Ballera, Melvin A. – International Association for Development of the Information Society, 2017
The usage of data mining has dramatically increased over the past few years and the education sector is leveraging this field in order to analyze and gain intuitive knowledge in terms of the vast accumulated data within its confines. The primary objective of this study is to compare the results of different classification techniques such as Naïve…
Descriptors: Classification, Cognitive Style, Electronic Learning, Decision Making
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Molluzzo, John C.; Lawler, James P. – Information Systems Education Journal, 2015
Big Data is becoming a critical component of the Information Systems curriculum. Educators are enhancing gradually the concentration curriculum for Big Data in schools of computer science and information systems. This paper proposes a creative curriculum design for Big Data Analytics for a program at a major metropolitan university. The design…
Descriptors: Curriculum Design, Data Analysis, Data Collection, Information Systems
Peer reviewed Peer reviewed
Direct linkDirect link
Cheng, Li-Chen; Chu, Hui-Chun; Shiue, Bang-Min – International Journal of Distance Education Technologies, 2015
Identifying learning problems of students has been recognized as an important issue for assisting teachers in improving their instructional skills or learning design strategies. The accumulated assessment data provide an excellent resource for achieving this objective. However, most of conventional testing systems only record students' test…
Descriptors: Teaching Methods, Learning Problems, Innovation, Student Records
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Fu, Xiao – English Language Teaching, 2013
This study is to examine whether the implementation of CL in an intensive reading class has a positive effect on improving the passive situation of students, whether it helps activate their enthusiasm for and ease their anxiety of participation in language class activities, and whether it is helpful to their improvement of English proficiency. The…
Descriptors: Foreign Countries, English (Second Language), Cooperative Learning, Learning Strategies
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers