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Andrew J. Barnes – Technology in Language Teaching & Learning, 2023
This study examines a common pedagogical approach whereby students view teacher feedback outside of class time. Facilitated through Moodle, it aimed to investigate not only the effect of written corrective feedback (WCF) on learning outcomes, but importantly, how frequently students review the feedback they receive. The study was conducted at a…
Descriptors: Error Correction, Learner Engagement, Feedback (Response), Comparative Analysis
Terrence Narinesingh – Online Submission, 2023
The Strategic Universal Design for Learning Course Development (S-UDLCD™) Faculty & Institutional Evaluation System (2023) is a research-based framework for assessing faculty performance, enhancing student retention, and improving institutional effectiveness. Unlike traditional models, this system integrates predictive analytics, student…
Descriptors: Institutional Evaluation, Evaluation Methods, Pilot Projects, Access to Education
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Çekiç, Ahmet; Bakla, Arif – International Online Journal of Education and Teaching, 2021
The Internet and the software stores for mobile devices come with a huge number of digital tools for any task, and those intended for digital formative assessment (DFA) have burgeoned exponentially in the last decade. These tools vary in terms of their functionality, pedagogical quality, cost, operating systems and so forth. Teachers and learners…
Descriptors: Formative Evaluation, Futures (of Society), Computer Assisted Testing, Guidance
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Lasater, Kara; Albiladi, Waheeb S.; Bengtson, Ed – Journal of Cases in Educational Leadership, 2021
Data use is considered a key lever in school improvement processes, but the punitive pressure of high-stakes accountability can influence whether or not data use is enacted in ways which facilitate improvement. School leaders must learn to respond to high-stakes accountability in ways which lead teachers to feel safe, efficacious, and agentic with…
Descriptors: Leadership Role, High Stakes Tests, Data Use, Educational Improvement
Weeks, Jonathan; Baron, Patricia – Educational Testing Service, 2021
The current project, Exploring Math Education Relations by Analyzing Large Data Sets (EMERALDS) II, is an attempt to identify specific Common Core State Standards procedural, conceptual, and problem-solving competencies in earlier grades that best predict success in algebraic areas in later grades. The data for this study include two cohorts of…
Descriptors: Mathematics Education, Common Core State Standards, Problem Solving, Mathematics Tests
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Grimaldi, Phillip; Weatherholtz, Kodi; Hill, Kelli Millwood – International Educational Data Mining Society, 2022
As educational technology platforms become more and more commonplace in education, it is critical that these systems work well across a diverse range of student sub-groups. In this study, we estimated the effectiveness of MAP Accelerator; a large-scale, personalized, web-based, mathematics mastery learning platform. Our analysis placed a…
Descriptors: Educational Technology, Mastery Learning, Learning Management Systems, Middle School Students
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Cook, Michael; Ross, Steven M. – Center for Research and Reform in Education, 2022
The purpose of this evaluation was to examine the impact of i-Ready Personalized Instruction that met Curriculum Associates' recommended usage levels on ELA achievement, as measured by the Massachusetts Comprehensive Assessment System (MCAS) ELA assessment. This study compared the ELA achievement growth in the 2020-21 school year of students who…
Descriptors: English, Language Arts, Computer Assisted Instruction, Computer Assisted Testing
Wang, Yan; Ostrow, Korinn; Beck, Joseph; Heffernan, Neil – Grantee Submission, 2016
The focus of the learning analytics community bridges the gap between controlled educational research and data mining. Online learning platforms can be used to conduct randomized controlled trials to assist in the development of interventions that increase learning gains; datasets from such research can act as a treasure trove for inquisitive data…
Descriptors: Learning Analytics, Educational Research, Randomized Controlled Trials, Information Retrieval
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Hofman, Abe D.; Brinkhuis, Matthieu J. S.; Bolsinova, Maria; Klaiber, Jonathan; Maris, Gunter; van der Maas, Han L. J. – Journal of Intelligence, 2020
One of the highest ambitions in educational technology is the move towards personalized learning. To this end, computerized adaptive learning (CAL) systems are developed. A popular method to track the development of student ability and item difficulty, in CAL systems, is the Elo Rating System (ERS). The ERS allows for dynamic model parameters by…
Descriptors: Teaching Methods, Computer Assisted Instruction, Difficulty Level, Individualized Instruction
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Er, Erkan; Gómez-Sánchez, Eduardo; Dimitriadis, Yannis; Bote-Lorenzo, Miguel L.; Asensio-Pérez, Juan I.; Álvarez-Álvarez, Susana – Interactive Learning Environments, 2019
This paper presents the findings of a mixed-methods research that explored the potentials emerging from aligning learning design (LD) and learning analytics (LA) during the design of a predictive analytics solution and from involving the instructors in the design process. The context was a past massive open online course, where the learner data…
Descriptors: Alignment (Education), Learning Analytics, Instructional Design, Teacher Participation
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Mtebe, Joel S.; Kondoro, Aron W. – Journal of Learning for Development, 2019
The adoption and use of various eLearning systems to enhance the quality of education in secondary schools in Tanzania is becoming common. However, there is little evidence to suggest that students actually use them. Existing studies tend to focus on investigating students' attitude towards using these systems through surveys. Nonetheless, data…
Descriptors: Behavior Patterns, Electronic Learning, Secondary School Students, Student Behavior
Al-Jarf, Reima S. – Online Submission, 2019
The study investigated the effects of using an online course on reading skill development in Saudi EFL freshman students. Reading pre-test scores showed no significant differences between the experimental and control groups in their reading skill level. Then, both groups studied the same reading textbook, and completed the same lessons and…
Descriptors: College Freshmen, Females, Late Adolescents, Reading Instruction
Peter Organisciak; Michele Newman; David Eby; Selcuk Acar; Denis Dumas – Grantee Submission, 2023
Purpose: Most educational assessments tend to be constructed in a close-ended format, which is easier to score consistently and more affordable. However, recent work has leveraged computation text methods from the information sciences to make open-ended measurement more effective and reliable for older students. This study asks whether such text…
Descriptors: Learning Analytics, Child Language, Semantics, Age Differences
Majumdar, Rwitajit; Iyer, Sridhar – Research and Practice in Technology Enhanced Learning, 2016
Interactive Stratified Attribute Tracking (iSAT) is a visual analytics tool for cohort analysis. In this paper, we show how instructors can use iSAT to visualize transitions of groups of students during teaching-learning activities. Interactive visual analytics gives the instructor the affordance of understanding the dynamics of the class of…
Descriptors: Visual Learning, Learning Analytics, Cohort Analysis, Affordances
Bull, Susan – Research and Practice in Technology Enhanced Learning, 2016
Today's technology-enabled learning environments are becoming quite different from those of a few years ago, with the increased processing power as well as a wider range of educational tools. This situation produces more data, which can be fed back into the learning process. Open learner models have already been investigated as tools to promote…
Descriptors: Educational Technology, Electronic Learning, Models, Computer Assisted Instruction
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