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Karen Dan Wang – ProQuest LLC, 2023
Digital learning environments are becoming increasingly ubiquitous as a wide range of EdTech products and services enter classrooms and households across the globe. One salient attribute of these environments is their capacity to generate large amounts of data as students interact with the technology. These data logs can help construct a detailed…
Descriptors: Educational Technology, Electronic Learning, Data Collection, Problem Solving
Capturing Movement: A Tablet App, "Geometry Touch," for Recording Onscreen Finger-Based Gesture Data
Stoo Sepp; Sharon Tindall-Ford; Shirley Agostinho; Fred Paas – IEEE Transactions on Learning Technologies, 2024
This article presents a novel digital method of capturing finger-based gestures on touchscreen devices for the purpose of exploring tracing gestures in educational research. Given that tracing has been found to support cognition, learning, and problem solving in educational settings, data related to the performance of these gestures are…
Descriptors: Computer Oriented Programs, Tablet Computers, Data Collection, Problem Solving
Lu, Chang; Macdonald, Rob; Odell, Bryce; Kokhan, Vasyl; Demmans Epp, Carrie; Cutumisu, Maria – Journal of Computing in Higher Education, 2022
The field of computational thinking (CT) is developing rapidly, reflecting its importance in the global economy. However, most empirical studies have targeted CT in K-12, thus, little attention has been paid to CT in higher education. The present scoping review identifies and summarizes existing empirical studies on CT assessments in…
Descriptors: Computation, Thinking Skills, Higher Education, Educational Trends
Villanueva Manjarres, Andrés; Moreno Sandoval, Luis Gabriel; Salinas Suárez, Martha Janneth – Digital Education Review, 2018
Educational Data Mining is an emerging discipline which seeks to develop methods to explore large amounts of data from educational settings, in order to understand students' behavior, interests and results in a better way. In recent years there have been various works related to this specialty and multiple data mining techniques derived from this…
Descriptors: Information Retrieval, Data Analysis, Educational Environment, Research Methodology
Charitopoulos, Angelos; Rangoussi, Maria; Koulouriotis, Dimitrios – International Journal of Artificial Intelligence in Education, 2020
The aim of this paper is to survey recent research publications that use Soft Computing methods to answer education-related problems based on the analysis of educational data 'mined' mainly from interactive/e-learning systems. Such systems are known to generate and store large volumes of data that can be exploited to assess the learner, the system…
Descriptors: Data Collection, Learning Analytics, Educational Research, Artificial Intelligence
Katz-Buonincontro, Jen; Anderson, Ross C. – Journal of Creative Behavior, 2020
This paper reports on an integrative literature review of published articles that used either quantitative or qualitative observation methods to research creativity in learning contexts. Observation is an empirical research method used in quantitative and qualitative naturalistic studies focused on understanding behavior and interactions as they…
Descriptors: Educational Research, Research Methodology, Qualitative Research, Statistical Analysis
Jamil, Tahira; Marsman, Maarten; Ly, Alexander; Morey, Richard D.; Wagenmakers, Eric-Jan – Educational and Psychological Measurement, 2017
In 1881, Donald MacAlister posed a problem in the "Educational Times" that remains relevant today. The problem centers on the statistical evidence for the effectiveness of a treatment based on a comparison between two proportions. A brief historical sketch is followed by a discussion of two default Bayesian solutions, one based on a…
Descriptors: Bayesian Statistics, Evidence, Comparative Analysis, Problem Solving
Galaige, Joy; Torrisi-Steele, Geraldine – International Journal of Adult Vocational Education and Technology, 2019
Founded on the need to help university students develop a greater academic metacognitive capacity, student-facing learning analytics are considered useful tools for making students overtly aware of their own learning processes, helping students to develop control over their learning, and subsequently supporting more effective learning. However,…
Descriptors: College Students, Data Analysis, Educational Research, Metacognition
Glover, Todd A.; Reddy, Linda A.; Kurz, Alexander; Elliott, Stephen N. – Assessment for Effective Intervention, 2019
This article presents theoretical and empirical support for a data-driven instructional coaching approach and emerging evidence for the contributions of an online platform in operationalizing, assessing, and facilitating the implementation of key coaching actions for both research and practice. The contributions of an online platform in guiding…
Descriptors: Coaching (Performance), Data, Decision Making, Computer Uses in Education
Ilic, Ulas; Haseski, Halil Ibrahim; Tugtekin, Ufuk – Contemporary Educational Technology, 2018
The current study aimed to review studies on computational thinking (CT) indexed in Web of Science (WOS) and ERIC databases. A thorough search in electronic databases revealed 96 studies on computational thinking which were published between 2006 and 2016. Studies were exposed to a quantitative content analysis through using an article control…
Descriptors: Trend Analysis, Educational Trends, Periodicals, Databases
Falloon, Garry – International Journal of Research & Method in Education, 2018
Criticisms have been levelled at e-research that limited knowledge has been produced helpful for guiding educators in using digital tools more effectively for teaching and learning. This issue has become more acute with the emergence of mobile devices that enable learners to transition across different learning spaces and times. Traditional data…
Descriptors: Foreign Countries, Elementary School Students, Electronic Learning, Technology Uses in Education
Liu, Min; Lee, Jaejin; Kang, Jina; Liu, Sa – Technology, Knowledge and Learning, 2016
Using a multi-case approach, we examined students' behavior patterns in interacting with a serious game environment using the emerging technologies of learning analytics and data visualization in order to understand how the patterns may vary according to students' learning characteristics. The results confirmed some preliminary findings from our…
Descriptors: Case Studies, Student Behavior, Behavior Patterns, Games
Smith, Carmen; King, Barbara; Gonzalez, Diana – Journal of Interactive Learning Research, 2016
Elementary students' difficulties with angles in geometry are well documented, but we know little about how they conceptualize angles while solving problems and how their thinking changes over time. In this study, we examined 26 third and fourth grade students completing a body-based angle task supported by the Kinect for Windows. We used…
Descriptors: Intermode Differences, Learning Modalities, Educational Research, Data Collection
Asamoah, Daniel A.; Sharda, Ramesh; Kalgotra, Pankush; Ott, Mark – Journal of Information Systems Education, 2016
Within the context of the telecom industry, this teaching case is an active learning analytics exercise to help students build hands-on expertise on how to utilize Big Data to solve a business problem. Particularly, the case utilizes an analytics method to help develop a customer retention strategy to mitigate against an increasing customer churn…
Descriptors: Case Method (Teaching Technique), Data Collection, Data Analysis, Educational Research
Cukurova, Mutlu; Luckin, Rose; Baines, Ed – Oxford Review of Education, 2018
One of the fundamental purposes of educational research is to provide evidence to facilitate effective practice. However, the evidence itself does not have much value for practitioners unless key information about the context from which the evidence was generated is also provided. In this paper, we use the word 'context' to refer to factors that…
Descriptors: Research Utilization, Evidence, Cooperative Learning, Problem Solving

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