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Rick Ginsberg; Yong Zhao – Phi Delta Kappan, 2025
American education has focused on reading and literacy skills for decades, but the ongoing reading wars have had little effect on student performance. Authors Rick Ginsberg and Yong Zhao suggest that the growth of artificial intelligence makes this hyperfocus on reading especially misguided because it's becoming increasingly easy to access…
Descriptors: Literacy, Artificial Intelligence, Computer Software, Academic Achievement
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Jamal Eddine Rafiq; Abdelali Zakrani; Mohammed Amraouy; Said Nouh; Abdellah Bennane – Turkish Online Journal of Distance Education, 2025
The emergence of online learning has sparked increased interest in predicting learners' academic performance to enhance teaching effectiveness and personalized learning. In this context, we propose a complex model APPMLT-CBT which aims to predict learners' performance in online learning settings. This systemic model integrates cognitive, social,…
Descriptors: Models, Online Courses, Educational Improvement, Learning Processes
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Loucif, Samia; Gassoumi, Laila; Negreiros, Joao – Education Sciences, 2020
Academic advising is time-consuming work. At the same time, it needs to be efficient and productive in assisting the students to choose appropriate academic courses towards the completion of their selected programs in a beneficial manner. In addition, both private and public educational institutions are, currently, operating in an extremely…
Descriptors: Academic Advising, Academic Achievement, Progress Monitoring, Course Selection (Students)
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Ozdemir, Durmus; Ugur, Mehmet Emin – Turkish Online Journal of Distance Education, 2021
The aim of this study is to present a model proposal on determining the student participation rate in synchronous courses given in Learning Management Systems (LMS). Especially in situations where equal opportunities cannot be provided or opportunities are limited, distance education provides benefits for learning anytime and anywhere (ubiquitous…
Descriptors: Attendance, Distance Education, Online Courses, Open Education
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Hadavand, Aboozar; Muschelli, John; Leek, Jeffrey – Journal of Learning Analytics, 2019
Due to the fundamental differences between traditional education and massive open online courses (MOOCs), and because of the ever-increasing popularity of the latter, more research is needed to understand current and future trends in MOOCs. Although research in the field has grown rapidly in recent years, one of the main challenges facing…
Descriptors: Learning Analytics, Student Behavior, Online Courses, Large Group Instruction
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Knipe, Sally – Educational Research Quarterly, 2019
The technological capacity that now exists to gather and store large amounts of data has improved access to information regarding young people in schools. Improvements in data management techniques and statistical data software packages have made retrieving and analysing systems data a more accessible and manageable process. On a smaller scale,…
Descriptors: Educational Improvement, School Effectiveness, Data Analysis, Indexes
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Aguilar, Jose; Cordero, Jorge; Buendía, Omar – Journal of Educational Computing Research, 2018
In this article, we propose the concept of "Autonomic Cycle Of Learning Analysis Tasks" (ACOLAT), which defines a set of tasks of learning analysis, whose objective is to improve the learning process. The data analysis has become a fundamental area for the knowledge discovery from data extracted from different sources. In the autonomic…
Descriptors: Data Analysis, Learning Processes, Decision Making, Instructional Improvement
Elliott, Kim; Juliuson, Jessica; Katz, Nevin; Parris, John – Education Development Center, Inc., 2016
Teachers' support of students, and the lasting effects of that support, is one of the most powerful factors in shaping a country's future. Their work is as complex and challenging as it is critical. Each student brings a wide range of ever-evolving needs and strengths. Each school and district has an ever-shifting landscape of priorities,…
Descriptors: Teacher Education, Faculty Development, Online Courses, Career Readiness
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Emmanuel, Jasmine Selvarani; Bhandigadi, Phalachandra; Ch'ng, Lay Kee – Asian Journal of Distance Education, 2019
Wawasan Open University (WOU) provides working Malaysians access to quality higher education via Open Distance Learning (ODL). As admission of students involves students from diverse backgrounds, including diversity of ability, age groups and educational backgrounds, WOU faces the real challenge of effectively engaging and supporting these…
Descriptors: Learner Engagement, Academic Achievement, Blended Learning, Integrated Learning Systems
Ferlazzo, Larry; Sypnieski, Katie Hull – American Educator, 2018
With more than 35 years of combined experience teaching English language learners (ELLs), Larry Ferlazzo and Katie Hull Sypnieski understand how students learn. Together, they have written a series of books on the topic, and in this article they share their insights. Chief among them is that ELLs require particular instructional strategies to help…
Descriptors: English Language Learners, Teaching Methods, Individualized Instruction, Student Motivation
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Spitznagel, Benjamin; Pritchett, Paige R.; Messina, Troy C.; Goadrich, Mark; Rodriguez, Juan – Biochemistry and Molecular Biology Education, 2016
Vision and Change [AAAS, 2011] outlines a blueprint for modernizing biology education by addressing conceptual understanding of key concepts, such as the relationship between structure and function. The document also highlights skills necessary for student success in 21st century Biology, such as the use of modeling and simulation. Here we…
Descriptors: Science Instruction, Biology, Undergraduate Study, Science Laboratories
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Randolph, Justus J.; Falbe, Kristina; Manuel, Austin Kureethara; Balloun, Joseph L. – Practical Assessment, Research & Evaluation, 2014
Propensity score matching is a statistical technique in which a treatment case is matched with one or more control cases based on each case's propensity score. This matching can help strengthen causal arguments in quasi-experimental and observational studies by reducing selection bias. In this article we concentrate on how to conduct propensity…
Descriptors: Statistical Analysis, Probability, Experimental Groups, Control Groups
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Crossman, Katie – International Journal of Bilingual Education and Bilingualism, 2018
This article reports on an English for academic purposes course designed following the tenets of content and language integrated learning (CLIL) to address the needs of language minority (LM) high school graduates entering Canadian universities. The language used in and required of post-secondary study is challenging for many LM students,…
Descriptors: Teaching Methods, Language of Instruction, Second Language Learning, Second Language Instruction
Gibson, David C.; Webb, Mary; Ifenthaler, Dirk – International Association for Development of the Information Society, 2015
This paper briefly discusses four measurement challenges of data science or "big data" in educational assessments that are enabled by technology: 1. Dealing with change over time via time-based data. 2. How a digital performance space's relationships interact with learner actions, communications and products. 3. How layers of…
Descriptors: Measurement, Data Analysis, Psychometrics, Correlation
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Pope-Ruark, Rebecca – College Teaching, 2012
Collaborative group projects have documented learning benefits, yet collaboration is challenging for students because the educational system values individual achievement. This article explores Scrum, an approach to framing, planning, and managing group projects used in Web-software development. Designed for multi-faceted projects, this approach…
Descriptors: Academic Achievement, Goal Orientation, Models, Teaching Methods
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