NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing all 7 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
Direct linkDirect link
Huang, Sheng-Bo; Jeng, Yu-Lin; Lai, Chin-Feng – Journal of Educational Computing Research, 2021
In recent years, the government has actively set up computer programming courses to train those with the relevant talent; however, the learning performance of the students is not ideal. Therefore, in order to learn programming skills, students usually adopt note-taking strategies because, due to the pressure of the course, the teachers do not have…
Descriptors: Notetaking, Learning Strategies, Cognitive Style, Peer Teaching
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Çakiroglu, Ünal; Er, Betül; Ugur, Nursel; Aydogdu, Esra – International Journal of Computer Science Education in Schools, 2018
This study attempts to understand the relationship between learning styles and self-regulated learning of preservice computer teachers in a programming course. Students' strategies for self-regulation with regard to their learning styles were assessed on the basis of qualitative data in terms of programming course. The Turkish version of…
Descriptors: Learning Strategies, Independent Study, Programming, Computer Science Education
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Nunes, Miguel Baptista, Ed.; Isaias, Pedro, Ed. – International Association for Development of the Information Society, 2019
These proceedings contain the papers and posters of the International Conference on e-Learning (EL) 2019, which was organised by the International Association for Development of the Information Society and co-organised by the Instituto Superior de Engenharia do Porto, in Porto, Portugal, July 17-19, 2019. The EL 2019 conference aims to address the…
Descriptors: Educational Technology, Technology Uses in Education, Mathematics Instruction, Cooperation
Peer reviewed Peer reviewed
Direct linkDirect link
Thota, Neena; Whitfield, Richard – Computer Science Education, 2010
This article describes a holistic approach to designing an introductory, object-oriented programming course. The design is grounded in constructivism and pedagogy of phenomenography. We use constructive alignment as the framework to align assessments, learning, and teaching with planned learning outcomes. We plan learning and teaching activities,…
Descriptors: Constructivism (Learning), Undergraduate Students, Investigations, Action Research
Peer reviewed Peer reviewed
Direct linkDirect link
Sun, Shanghua; Joy, Mike; Griffiths, Nathan – Journal of Interactive Learning Research, 2007
Adaptive learning and teaching strategies are increasingly demanded in order to improve the efficiency and effectiveness of the education process, but few intelligent education systems exist, which are dynamic and able to satisfy individual students' requirements. In an attempt to overcome these limitations, we have developed a multi-agent…
Descriptors: Teaching Methods, Efficiency, Educational Research, Cognitive Style
Peer reviewed Peer reviewed
Direct linkDirect link
Yukselturk, Erman; Bulut, Safure – Educational Technology & Society, 2007
This study analyzed the factors that affect student success in an online computer programming course. The study had two with two main objectives. The first was to examine relationships among selected variables (gender, age, educational level, locus of control, and learning style), motivational beliefs (intrinsic goal orientation, extrinsic goal…
Descriptors: Locus of Control, Cognitive Style, Self Efficacy, Online Courses