NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Shi, Yang; Schmucker, Robin; Chi, Min; Barnes, Tiffany; Price, Thomas – International Educational Data Mining Society, 2023
Knowledge components (KCs) have many applications. In computing education, knowing the demonstration of specific KCs has been challenging. This paper introduces an entirely data-driven approach for: (1) discovering KCs; and (2) demonstrating KCs, using students' actual code submissions. Our system is based on two expected properties of KCs: (1)…
Descriptors: Computer Science Education, Data Analysis, Programming, Coding
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Aziman Abdullah – International Society for Technology, Education, and Science, 2023
This study explores the potential of using screen time data in learning management systems (LMS) to estimate student learning time (SLT) and validate the credit value of courses. Gathering comprehensive data on actual student learning time is difficult, so this study uses LMS Moodle logs from a computer programming course with 490 students over 16…
Descriptors: Time Factors (Learning), Handheld Devices, Computer Use, Television Viewing
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Martínez-Sáez, Antonio; Sevilla-Pavón, Ana; Gimeno-Sanz, Ana – Research-publishing.net, 2018
Instructors have to make important decisions regarding the type of assessment that will finally be implemented when producing online learning materials, since this has a noticeable effect in terms of the methodology, the approach, and the attitude of all the actors involved (Goertler, 2011). This study investigates students' perception of tutor…
Descriptors: Student Attitudes, Online Courses, English (Second Language), Second Language Learning
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