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Michaeli, Shiran; Kroparo, Dror; Hershkovitz, Arnon – International Review of Research in Open and Distributed Learning, 2020
Education dashboards are a means to present various stakeholders with information about learners, most commonly regarding the learners' activity in online learning environments. Typically, an education dashboard for teachers will include some type of visual aids that encourage teachers to reflect upon learner behavior patterns and to act in…
Descriptors: Learning Analytics, Visual Aids, Decision Making, Elementary School Teachers
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Parkes, Sarah; Benkwitz, Adam; Bardy, Helen; Myler, Kerry; Peters, John – Higher Education Research and Development, 2020
Universities are now compelled to attend to metrics that (re)shape our conceptualisation of the student experience. New technologies such as learning analytics (LA) promise the ability to target personalised support to profiled 'at risk' students through mapping large-scale historic student engagement data such as attendance, library use, and…
Descriptors: Learning Analytics, Higher Education, Educational Objectives, Foreign Countries
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Ahmad Uzir, Nora'ayu; Gaševic, Dragan; Matcha, Wannisa; Jovanovic, Jelena; Pardo, Abelardo – Journal of Computer Assisted Learning, 2020
This paper aims to explore time management strategies followed by students in a flipped classroom through the analysis of trace data. Specifically, an exploratory study was conducted on the dataset collected in three consecutive offerings of an undergraduate computer engineering course (N = 1,134). Trace data about activities were initially coded…
Descriptors: Time Management, Blended Learning, Learning Analytics, Undergraduate Students
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Travis, Tiffini A.; Ramirez, Christian – portal: Libraries and the Academy, 2020
Libraries remain one of the last places on campus where the purging of usage data is encouraged and "tracking" is a dirty word. While some libraries have demonstrated the usefulness of analytics, opponents bring up issues of privacy and debate the feasibility of student-generated library data for planning and assessment. Using a study…
Descriptors: Academic Libraries, Data Collection, Learning Analytics, Ethics
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Leu, Katherine – RTI International, 2020
Postsecondary education is awash in data. Postsecondary institutions track data on students' demographics, academic performance, course-taking, and financial aid, and have put these data to use, applying data analytics and data science to issues in college completion. Meanwhile, an extensive amount of higher education data are being collected…
Descriptors: Learning Analytics, Postsecondary Education, Academic Achievement, Graduation Rate
Priya Harindranathan – ProQuest LLC, 2020
A major problem faced by instructors post-implementation of unsupervised online assessments is that they may lack real-time access to the students' actual learning behaviors. Limitations in student-feedback, limited know-how of accessing and analyzing log data, and large class sizes could restrict instructors' access to learners' behaviors. This…
Descriptors: Tests, Supervision, Student Evaluation, Computer Assisted Testing
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Rhonda Christensen; Gerald Knezek – Journal of Interactive Learning Research, 2024
Student engagement, cultural identity and voice in school have been shown to have measurable influence on student learning. Measures of student perceptions of their teachers' cultural engagement, teaching practices and their own voice in schooling are included in this paper. Data from 822 students of teachers who participated in a simulated…
Descriptors: Student Attitudes, Learner Engagement, Equal Education, Faculty Development
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Hoel, Tore; Chen, Weiqin – International Journal of Information and Learning Technology, 2019
Purpose: Privacy is a culturally universal process; however, in the era of Big Data privacy is handled very differently in different parts of the world. This is a challenge when designing tools and approaches for the use of Educational Big Data (EBD) and learning analytics (LA) in a global market. The purpose of this paper is to explore the…
Descriptors: Privacy, Learning Analytics, Information Security, Data
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Harindranathan, Priya; Folkestad, James – Online Learning, 2019
Instructors may design and implement formative assessments on technology-enhanced platforms (e.g., online quizzes) with the intention of encouraging the use of effective learning strategies like active retrieval of information and spaced practice among their students. However, when students interact with unsupervised technology-enhanced learning…
Descriptors: Learning Analytics, Instructional Design, Learning Strategies, Educational Technology
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Trezise, Kelly; Ryan, Tracii; de Barba, Paula; Kennedy, Gregor – Journal of Learning Analytics, 2019
Rural teachers and educators are increasingly called upon to build partnerships with families who use languages other than English in the home (US DOE, 2016). This is equally true for rural schools, where the number of multilingual families is small, and the language and cultural backgrounds of students differs from those of school. This article…
Descriptors: College Students, Cheating, Identification, Learning Analytics
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Ni Li – International Journal of Web-Based Learning and Teaching Technologies, 2025
In depth exploration of how the pandemic has reshaped the education ecosystem over the past three years, especially in the context of the surge in demand for online education courses and learning platforms, this article focuses on the field of student ideological and political education, and innovatively constructs a moral and political education…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Algorithms
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Campbell McDermid – Interpreter and Translator Trainer, 2025
With the advent of online learning, instructors are challenged to engage with students in asynchronous learning environments. This study explored Perusall, a social annotation tool (SAT), in an undergraduate introductory course in sign language interpreting. Despite the growing popularity of SATs, their impact on sign language interpreter…
Descriptors: Translation, Computer Software, Computational Linguistics, Reading Rate
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Xuewang Geng; Masanori Yamada – SAGE Open, 2025
The development of information and communication technologies has created limitless prospects for using augmented reality (AR) in various fields. Unfortunately, the multitasking nature of AR systems prevents learners from successfully reflecting and retaining knowledge. This study developed and designed a learning analytics dashboard (LAD) with…
Descriptors: Metacognition, Learning Management Systems, Artificial Intelligence, Computer Software
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Ahmad Faza; Ilyana Agri Lestari – International Review of Research in Open and Distributed Learning, 2025
When students enter higher education, self-regulated learning (SRL) involving goal setting, planning, monitoring, and reflection is crucial for academic success. This study systematically reviews SRL strategies, supporting technologies, and their impacts, especially with the shift to online learning due to the COVID-19 pandemic. Following…
Descriptors: Metacognition, Educational Benefits, Learning Management Systems, Goal Orientation
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Moonen-van Loon, Joyce M. W.; Govaerts, Marjan; Donkers, Jeroen; van Rosmalen, Peter – IEEE Transactions on Learning Technologies, 2022
Self-directed learning is generally considered a key competence in higher education. To enable self-directed learning, assessment practices increasingly embrace assessment for learning rather than the assessment of learning, shifting the focus from grades and scores to provision of rich, narrative, and personalized feedback. Students are expected…
Descriptors: Competency Based Education, Portfolios (Background Materials), Feedback (Response), Independent Study
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