NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing all 9 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Jui-Hung Chang; Chi-Jane Wang; Hua-Xu Zhong; Hsiu-Chen Weng; Yu-Kai Zhou; Hoe-Yuan Ong; Chin-Feng Lai – Educational Technology Research and Development, 2024
Amidst the rapid advancement in the application of artificial intelligence learning, questions regarding the evaluation of students' learning status and how students without relevant learning foundation on this subject can be trained to familiarize themselves in the field of artificial intelligence are important research topics. This study…
Descriptors: Artificial Intelligence, Technological Advancement, Student Evaluation, Models
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Feng, Mingyu, Ed.; Käser, Tanja, Ed.; Talukdar, Partha, Ed. – International Educational Data Mining Society, 2023
The Indian Institute of Science is proud to host the fully in-person sixteenth iteration of the International Conference on Educational Data Mining (EDM) during July 11-14, 2023. EDM is the annual flagship conference of the International Educational Data Mining Society. The theme of this year's conference is "Educational data mining for…
Descriptors: Information Retrieval, Data Analysis, Computer Assisted Testing, Cheating
Peer reviewed Peer reviewed
Direct linkDirect link
May, Jeffrey; Dhillon, Gurpreet – Journal of Information Systems Education, 2009
In the information systems field there are numerous programming languages that can be used in specifying the behavior of concurrent and distributed systems. In the literature it has been argued that a lack of pragmatic and semantic consideration decreases the effectiveness of such specifications. In other words, to simply understand the syntactic…
Descriptors: Semantics, Syntax, Programming Languages, Information Systems
Peer reviewed Peer reviewed
Direct linkDirect link
Ma, L.; Ferguson, J.; Roper, M.; Wood, M. – Computer Science Education, 2011
The teaching of introductory computer programming seems far from successful, with many first-year students performing more poorly than expected. One possible reason for this is that novices hold "non-viable" mental models (internal explanations of how something works) of key programming concepts which then cause misconceptions and difficulties. An…
Descriptors: Teaching Models, Programming, Misconceptions, Models
Peer reviewed Peer reviewed
Direct linkDirect link
Paquette, Gilbert; Leonard, Michel; Lundgren-Cayrol, Karin; Mihaila, Stefan; Gareau, Denis – Educational Technology & Society, 2006
This chapter states and explains that a Learning Design is the result of a knowledge engineering process where knowledge and competencies, learning design and delivery models are constructed in an integrated framework. We present a general graphical language and a knowledge editor that has been adapted to support the construction of learning…
Descriptors: Learning Strategies, Computer Software, Programming, Instructional Design
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
Direct linkDirect link
Knight, Colin, Gasevic, Dragan; Richards, Griff – Educational Technology & Society, 2006
The paper describes an ontology-based framework for bridging learning design and learning object content. In present solutions, researchers have proposed conceptual models and developed tools for both of those subjects, but without detailed discussions of how they can be used together. In this paper we advocate the use of ontologies to explicitly…
Descriptors: Case Studies, Learning Strategies, Computer Software, Programming
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
Bland, Ray; Tessmer, Martin – 1999
This research explored the thesis that mental model construction can be an effective instructional strategy for mental models learning by constructing a prototype that embodies this approach. The mental model to be learned was the Internet, including the components of the Internet, their functions, and their relationships to one another. To do…
Descriptors: Age Differences, Authoring Aids (Programming), Community Colleges, Comparative Analysis