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Fernandez-Nieto, Gloria Milena; Echeverria, Vanessa; Shum, Simon Buckingham; Mangaroska, Katerina; Kitto, Kirsty; Palominos, Evelyn; Axisa, Carmen; Martinez-Maldonado, Roberto – IEEE Transactions on Learning Technologies, 2021
There is growing interest in creating learning analytics feedback interfaces that support students directly. While dashboards and other visualizations are proliferating, the evidence is that many fail to provide meaningful insights that help students reflect productively. The contribution of this article is qualitative and quantitative evidence…
Descriptors: Student Attitudes, Story Telling, Accountability, Formative Evaluation
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Yang, Junhe; Ding, Juncheng – Journal of Interactive Learning Research, 2021
Preparing for back-to-school is essential, and it is also complicated because it involves different groups of people, and they have different needs. Pandemics, like COVID-19, make the situation even more difficult. Better preparation during a pandemic needs a comprehensive understanding of the situation. However, few studies have provided such…
Descriptors: Content Analysis, Discourse Analysis, Social Media, Computer Mediated Communication
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Chuang, Tsung-Yen; Yeh, Martin K.-C.; Lin, Yu-Lun – Educational Technology & Society, 2021
Students with different cognitive styles benefit from different instructional strategies, including learning through playing video games. Although playing video games can be an effective learning method, we do not know its impact on the reasoning ability of students with different cognitive styles. The purposes of this study are to investigate…
Descriptors: Game Based Learning, Video Games, Computer Games, Puzzles
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Hsiao, I-Han, Ed.; Sahebi, Shaghayegh, Ed.; Bouchet, Francois, Ed.; Vie, Jill-Jenn, Ed. – International Educational Data Mining Society, 2021
For this 14th iteration of the International Conference on Educational Data Mining (EDM 2021), the conference was held completely online. EDM is organized under the auspices of the International Educational Data Mining Society and was meant to happen in Paris, France. The official theme of this year's conference was Shifting Landscape of…
Descriptors: Blended Learning, Distance Education, Learning Analytics, Educational Technology
Fullerton, Jon – American Enterprise Institute, 2021
Over the past two decades, education underwent a "big data" revolution as states began tracking individual student performance and interim assessments and educational software allowed for a greater granularity of data on students, teachers, and schools. Despite this plethora of new data, considerable gaps in data on early childhood…
Descriptors: Academic Achievement, Learning Analytics, Computer Software, Educational Policy
Kristy Chene Dumont – ProQuest LLC, 2021
Higher education institutions are facing growing pressure to improve retention and graduation rates. Academic analytics has emerged as a strategy to address the completion issue. Because academic advisors are integral in providing successful student success initiatives and they often maintain relationships with students throughout their entire…
Descriptors: Academic Advising, Learning Analytics, Educational Practices, Faculty Advisers
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Natercia Valle; Pavlo Antonenko; Kara Dawson; Anne Corinne Huggins-Manley – British Journal of Educational Technology, 2021
The advances in technology to capture and process unprecedented amounts of educational data has boosted the interest in Learning Analytics Dashboard (LAD) applications as a way to provide meaningful visual information to administrators, parents, teachers and learners. Despite the frequent argument that LADs are useful to support target users and…
Descriptors: Learning Analytics, Access to Information, Efficiency, Data Use
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Hershkovitz, Arnon; Sitman, Raquel; Israel-Fishelson, Rotem; Eguíluz, Andoni; Garaizar, Pablo; Guenaga, Mariluz – Interactive Learning Environments, 2019
Many worldwide initiatives consider both creativity and computational thinking as crucial skills for future citizens, making them a priority for today's learners. We studied the associations between these two constructs among middle school students (N = 57), considering two types of creativity: a general creative thinking, and a specific…
Descriptors: Creativity, Creative Thinking, Computation, Computer Assisted Instruction
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Klein, Carrie; Lester, Jaime; Nguyen, Thien; Justen, Abigail; Rangwala, Huzefa; Johri, Aditya – Journal of Educational Technology Systems, 2019
An instrumental case study was conducted at a large, public research university in the mid-Atlantic region of the United States to understand undergraduate use of learning analytics dashboard (LAD) interventions. Eighty-one undergraduate students participated in focus groups. Scenario-based questions, modeled on current and future LAD…
Descriptors: Learning Analytics, Undergraduate Students, Computer Uses in Education, Computer Interfaces
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van Leeuwen, Anouschka – Educational Technology Research and Development, 2019
The flipped classroom model is a form of blended learning in which delivery of content occurs with online materials, and face-to-face meetings are used for teacher-guided practice. It is important that teachers stay up to date with the activities students engage in, which may be accomplished with the help of learning analytics (LA). This study…
Descriptors: Teacher Attitudes, Usability, Learning Analytics, Blended Learning
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Guajardo Leal, Brenda Edith; Valenzuela González, Jaime Ricardo – Online Learning, 2019
MOOCs are characterized as being courses to which a large number of students enroll, but only a small fraction completes them. An understanding of students' engagement construct is essential to minimize dropout rates. This research is of a quantitative design and exploratory in nature and investigates the interaction between contextual factors…
Descriptors: Learner Engagement, Predictor Variables, Online Courses, Energy Conservation
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Gardner, Josh; Yang, Yuming; Baker, Ryan S.; Brooks, Christopher – International Educational Data Mining Society, 2019
Replication of machine learning experiments can be a useful tool to evaluate how both "modeling" and "experimental design" contribute to experimental results; however, existing replication efforts focus almost entirely on modeling alone. In this work, we conduct a three-part replication case study of a state-of-the-art LSTM…
Descriptors: Online Courses, Large Group Instruction, Prediction, Models
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Morsy, Sara; Karypis, George – International Educational Data Mining Society, 2019
Grade prediction for future courses not yet taken by students is important as it can help them and their advisers during the process of course selection as well as for designing personalized degree plans and modifying them based on their performance. One of the successful approaches for accurately predicting a student's grades in future courses is…
Descriptors: Grades (Scholastic), Models, Prediction, Predictor Variables
Figueroa, Christina A. – ProQuest LLC, 2019
Online information is not regulated for quality of content or accuracy; therefore, content found online is not always complete, accurate, or unbiased. While media-literacy education exists, educators often only see the final result of students' online research in the form of the assignment or a works cited page. For teachers to address the media…
Descriptors: Student Behavior, Student Research, Media Literacy, Learning Analytics
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Ryan, Mary; Bourke, Terri; Lane, Rod; O'Brien, Peter; L'Estrange, Lyra – Teaching Education, 2022
The recasting of accountability in teaching and teacher education as a problem of impact across many countries has seen a proliferation of policies and strategies that datify the work of students and teachers. The enactment of such policies can be interrogated from the perspectives of multiple policy actors to understand the effects of the 'impact…
Descriptors: Discourse Analysis, Foreign Countries, Accountability, Teaching Methods
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