NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Type
Reports - Research25
Journal Articles17
Speeches/Meeting Papers7
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing 1 to 15 of 25 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Sjors Verstege; Yingbin Zhang; Peter Wierenga; Luc Paquette; Julia Diederen – Technology, Knowledge and Learning, 2024
In natural science education, experiments often lead to the collection of raw data that need to be processed into results by doing calculations. Teaching students how to approach such calculations can be done using digital learning materials that provide guidance. The goal of this study was to investigate students' behaviour regarding the use of…
Descriptors: Sequential Approach, Student Behavior, Guidance, Computation
Peer reviewed Peer reviewed
Direct linkDirect link
El Aouifi, Houssam; El Hajji, Mohamed; Es-Saady, Youssef; Douzi, Hassan – Education and Information Technologies, 2021
This paper analyzes how learners interact with the pedagogical sequences of educational videos, and its effect on their performance. In this study, the suggested video courses are segmented on several pedagogical sequences. In fact, we're not focusing on the type of clicks made by learners, but we're concentrating on the pedagogical sequences in…
Descriptors: Video Technology, Student Behavior, Prediction, Learning Analytics
Peer reviewed Peer reviewed
Direct linkDirect link
Yang, Xiaotong; Rahimi, Seyedahmad; Fulwider, Curt; Smith, Ginny; Shute, Valerie – Educational Technology Research and Development, 2022
The current study investigated students' gameplay behavioral patterns as a function of in-game learning supports delivery timing when played a computer-based physics game. Our sample included 134 secondary students (M = 14.40, SD = .90) from all over the United States, who were randomly assigned into three conditions: receiving instructional…
Descriptors: Student Behavior, Educational Games, Game Based Learning, Problem Solving
Peer reviewed Peer reviewed
Direct linkDirect link
Çebi, Ayça; Araújo, Rafael D.; Brusilovsky, Peter – Journal of Research on Technology in Education, 2023
Online learning systems allow learners to freely access learning contents and record their interactions throughout their engagement with the content. By using data mining techniques on the student log data of those systems, it is possible to examine learning behavior and reveal navigation patterns through learning contents. This study was aimed at…
Descriptors: Individual Characteristics, Electronic Learning, Student Behavior, Learning Management Systems
Zhou, Jianing; Bhat, Suma – Grantee Submission, 2021
Consistency of learning behaviors is known to play an important role in learners' engagement in a course and impact their learning outcomes. Despite significant advances in the area of learning analytics (LA) in measuring various self-regulated learning behaviors, using LA to measure consistency of online course engagement patterns remains largely…
Descriptors: Models, Online Courses, Learner Engagement, Learning Processes
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Akpinar, Nil-Jana; Ramdas, Aaditya; Acar, Umut – International Educational Data Mining Society, 2020
Educational software data promises unique insights into students' study behaviors and drivers of success. While much work has been dedicated to performance prediction in massive open online courses, it is unclear if the same methods can be applied to blended courses and a deeper understanding of student strategies is often missing. We use pattern…
Descriptors: Learning Strategies, Blended Learning, Learning Analytics, Student Behavior
Peer reviewed Peer reviewed
Direct linkDirect link
Sung, Euisuk; Kelley, Todd R. – International Journal of Technology and Design Education, 2019
Design is a key element of both the teaching and learning of engineering and technology. However, the process of engineering design has yielded limited research results. This study explored the iterative design process by searching for sequential design thinking patterns. The researchers collected nine concurrent think-aloud protocols from…
Descriptors: Sequential Approach, Design, Thinking Skills, Engineering Education
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Käser, Tanja; Schwartz, Daniel L. – International Educational Data Mining Society, 2019
Open-ended learning environments (OELEs) allow students to freely interact with the content and to discover important principles and concepts of the learning domain on their own. However, only some students possess the necessary skills for efficient and effective exploration. Guidance in the form of targeted interventions or feedback therefore has…
Descriptors: Educational Environment, Interaction, Cluster Grouping, Models
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Chen, Binglin; West, Matthew; Ziles, Craig – International Educational Data Mining Society, 2018
This paper attempts to quantify the accuracy limit of "nextitem-correct" prediction by using numerical optimization to estimate the student's probability of getting each question correct given a complete sequence of item responses. This optimization is performed without an explicit parameterized model of student behavior, but with the…
Descriptors: Accuracy, Probability, Student Behavior, Test Items
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Shen, Shitian; Chi, Min – International Educational Data Mining Society, 2017
One of the most challenging tasks in the field of Educational Data Mining (EDM) is to cluster students directly based on system-student sequential moment-to-moment interactive trajectories. The objective of this study is to build a general temporal clustering framework that captures the distinct characteristics of students' sequential behaviors…
Descriptors: Sequential Approach, Cluster Grouping, Interaction, Student Behavior
Emond, Bruno; Buffett, Scott – International Educational Data Mining Society, 2015
This paper reports on results of applying process discovery mining and sequence classification mining techniques to a data set of semi-structured learning activities. The main research objective is to advance educational data mining to model and support self-regulated learning in heterogeneous environments of learning content, activities, and…
Descriptors: Data Analysis, Classification, Learning Activities, Inquiry
Peer reviewed Peer reviewed
Direct linkDirect link
Cheng, Ya-Wen; Wang, Yuping; Cheng, I-Ling; Chen, Nian-Shing – Interactive Learning Environments, 2019
Collaborative learning has long been proved to be a crucial agent for enhancing students' social skills, problem-solving abilities and individual learning performance. Understanding how students move from one phase to another in their collaboration process can inform educators of how best to facilitate such learning. However, this is still an area…
Descriptors: Interaction, Computer Simulation, Mathematics Activities, Computer Games
Peer reviewed Peer reviewed
Direct linkDirect link
Yang, Kai-Hsiang – Interactive Learning Environments, 2017
It is widely accepted that the digital game-based learning approach has the advantage of stimulating students' learning motivation, but simply using digital games in the classroom does not guarantee satisfactory learning achievement, especially in the case of the absence of a teacher. Integrating appropriate learning strategies into a game can…
Descriptors: Educational Games, Electronic Learning, Mastery Learning, Learning Theories
Peer reviewed Peer reviewed
Direct linkDirect link
Codina, A.; Cañadas, M. C.; Castro, E. – Electronic Journal of Research in Educational Psychology, 2015
Introduction: The macroscopic perspective is one of the frameworks for research on problem solving in mathematics education. Coming from this perspective, our study addresses the stages of thought in mathematical problem solving, offering an innovative approach because we apply sequential relations and global interrelations between the different…
Descriptors: Problem Solving, Mathematics Instruction, Sequential Approach, Observation
Peer reviewed Peer reviewed
Direct linkDirect link
Wu, Sheng-Yi; Hou, Huei-Tse – Journal of Educational Computing Research, 2015
Cognitive styles play an important role in influencing the learning process, but to date no relevant study has been conducted using lag sequential analysis to assess knowledge construction learning patterns based on different cognitive styles in computer-supported collaborative learning activities in online collaborative discussions. This study…
Descriptors: Cognitive Style, Student Behavior, Problem Solving, Discussion (Teaching Technique)
Previous Page | Next Page »
Pages: 1  |  2