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Damian Betebenner; Charles A. DePascale – National Center for the Improvement of Educational Assessment, 2024
In the wake of the COVID-19 pandemic, educators and policymakers have scrambled to assess the impact on student learning. Popular metrics that have gained traction are the notions of "years of learning lost" or "months behind," which attempt to quantify the educational setbacks caused by the pandemic. The allure of these…
Descriptors: COVID-19, Pandemics, Progress Monitoring, Academic Achievement
Tanaka, Tetsuo; Ueda, Mari – International Association for Development of the Information Society, 2023
In this study, the authors have developed a web-based programming exercise system currently implemented in classrooms. This system not only provides students with a web-based programming environment but also tracks the time spent on exercises, logging operations such as program editing, building, execution, and testing. Additionally, it records…
Descriptors: Scores, Prediction, Programming, Artificial Intelligence
Therriault, Susan Bowles; Champagne, Erica – AERA Online Paper Repository, 2020
The Massachusetts Department of Elementary and Secondary Education (DESE) with its research partner have developed a system that changes the equation on monitoring. The research-driven approach to monitoring allows DESE, within its existing activities and resources, to use monitoring to improve the state system of support as well as direct…
Descriptors: Elementary Secondary Education, Educational Improvement, Progress Monitoring, Low Achievement
Chen, Li; Lu, Min; Goda, Yoshiko; Yamada, Masanori – International Association for Development of the Information Society, 2019
Metacognition is an aspect in self-regulated learning and is necessary to achieve such learning in an effective and efficient manner. However, it is not always easy and accurate for learners to monitor or assess their own metacognition. In this study, we designed a learning analytics dashboard to improve self-regulated learning in online…
Descriptors: Learning Analytics, Metacognition, Learning Strategies, Information Management
Zhi, Rui; Marwan, Samiha; Dong, Yihuan; Lytle, Nicholas; Price, Thomas W.; Barnes, Tiffany – International Educational Data Mining Society, 2019
Viewing worked examples before problem solving has been shown to improve learning efficiency in novice programming. Example-based feedback seeks to present smaller, adaptive worked example steps during problem solving. We present a method for automatically generating and selecting adaptive, example-based programming feedback using historical…
Descriptors: Data Use, Feedback (Response), Novices, Programming
Pearn, Catherine; Stephens, Max; Pierce, Robyn – Mathematics Education Research Group of Australasia, 2019
To succeed in mathematics middle-years' students must move from additive to multiplicative thinking and from arithmetic calculations to generalised algebraic strategies. If we ask the right questions this progression can be monitored and prompted through fraction tasks. Students' solution strategies for fraction tasks vary from a dependence on…
Descriptors: Progress Monitoring, Prompting, Algebra, Middle School Students
Gervasoni, Ann; Roche, Anne; Giumelli, Kerry; McHugh, Barbara – Mathematics Education Research Group of Australasia, 2019
This paper reports on the longitudinal results over 12 months of 342 Grade 1 children from 57 schools in Sydney, Australia, who participated in the "Extending Mathematical Understanding" (EMU) Intervention Program. Their vulnerability in four whole number domains is described, and the extent to which this changed after 12 months. Overall…
Descriptors: At Risk Students, Young Children, Elementary School Students, Intervention
Harrold, Peter – Research-publishing.net, 2019
The Xreading website provides students with access to an extensive virtual library of graded readers. Teachers can then use it to keep track of which titles the students access, the total number of words they read, their reading speed, and also whether they have completed post-reading quizzes. However, an overreliance on monitoring student…
Descriptors: Reading Programs, Web Sites, Integrated Learning Systems, Electronic Libraries
Ashenafi, Michael Mogessie; Ronchetti, Marco; Riccardi, Giuseppe – International Educational Data Mining Society, 2016
Predicting overall student performance and monitoring progress have attracted more attention in the past five years than before. Demographic data, high school grades and test result constitute much of the data used for building prediction models. This study demonstrates how data from a peer-assessment environment can be used to build student…
Descriptors: Peer Evaluation, Progress Monitoring, Performance, Undergraduate Students
Dansby-Giles, Gloria; Edwards, Anthony; Dansby, Jacqueline; Giles, Frank L.; Edwards, J. T. – Online Submission, 2018
As student enrollment has taken a center place in higher education, faculty and administrators are concerned about student retention and success in traditional face-to-face, online and blended courses. This presentation will explore the implications of data mining for predicting relationships between information contained within a learning…
Descriptors: Predictor Variables, Mastery Learning, Accreditation (Institutions), Academic Standards
Mandinach, Ellen B.; Hauk, Shandy – Grantee Submission, 2017
A range of education initiatives in the U.S. are focusing on ways to improve curriculum, instruction, teacher development, and student assessment related to science, technology, engineering, and mathematics (STEM) education. Key indicators to monitor the quality of STEM education have been proposed by the National Research Council. This paper is…
Descriptors: STEM Education, Educational Quality, Documentation, Content Analysis
Cunningham, Jim – International Educational Data Mining Society, 2015
In this paper, I describe preliminary work on a new research project in learning analytics at Arizona State University. In conjunction with an innovative remedial mathematics course using Khan Academy and student coaches, this study seeks to measure the effectiveness of visualized data in assisting student coaches as they help remedial math…
Descriptors: Research Projects, Remedial Mathematics, Coaching (Performance), Visual Aids
Cortés, Carlos Manuel Pacheco; Cortés, Adriana Margarita Pacheco – International Association for Development of the Information Society, 2014
The following study consists on comparative literature review conducted by several researchers and instructional designers; for a wide comprehension of Mobile-Learning (abbreviated "M-Learning") as an educational platform to provide "anytime-anywhere" access to interactions and resources on-line, and "Technological…
Descriptors: Technological Literacy, Apprenticeships, Relevance (Education), Literature Reviews
Luan, Regina John; Cowling, Michael – Australian Association for Research in Education, 2015
This paper reports on research conducted on the effectiveness and relevance of authentic assessment in a Mobile Application Development course, answering the research question "How practical is authentic assessment in Digital Media courses?" To facilitate this research, students were provided a set of tasks that consisted of developing a…
Descriptors: Performance Based Assessment, Educational Technology, Technology Uses in Education, Telecommunications
Johnson, William L.; Johnson, Annabel M.; Johnson, Jared W. – Online Submission, 2018
This document is from a featured presentation at the 2018 annual conference of the Science Teachers Association of Texas (STAT). The public schools are a fundamental element of our democratic society, and they have been the pathway to opportunity and a better life for generations of Americans. But at present, the American public school system is…
Descriptors: Effective Schools Research, School Effectiveness, Public Schools, Educational Quality
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