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Feng, Shihui; Law, Nancy – International Journal of Artificial Intelligence in Education, 2021
In this study, we review 1830 research articles on artificial intelligence in education (AIED), with the aim of providing a holistic picture of the knowledge evolution in this interdisciplinary research field from 2010 to 2019. A novel three-step approach in the analysis of the keyword co-occurrence networks (KCN) is proposed to identify the…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Research, Intelligent Tutoring Systems
Solomon, Bonnie J.; Sun, Sarah; Temkin, Deborah – Child Trends, 2021
With the passage of the 2015 Every Student Succeeds Act (ESSA), states were required to add a fifth indicator on "School Quality or Student Success" (SQSS) to their school accountability systems. An analysis of submitted ESSA state plans found that 13 states included measures of school climate as their SQSS indicator or incorporated…
Descriptors: School Districts, Learning Analytics, Educational Environment, Educational Quality
Ian Rosenblum – Office of Elementary and Secondary Education, US Department of Education, 2021
The author writes this letter to provide an update on assessment, accountability, and reporting requirements for the 2020-2021 school year. President Biden's first priority is to safely re-open schools and get students back in classrooms, learning face-to-face from teachers with their fellow students. To be successful once schools have re-opened,…
Descriptors: Letters (Correspondence), Educational Improvement, Accountability, Learning Analytics
Kenneth Holstein; Bruce M. McLaren; Vincent Aleven – Grantee Submission, 2017
Intelligent tutoring systems (ITSs) are commonly designed to enhance student learning. However, they are not typically designed to meet the needs of teachers who use them in their classrooms. ITSs generate a wealth of analytics about student learning and behavior, opening a rich design space for real-time teacher support tools such as dashboards.…
Descriptors: Intelligent Tutoring Systems, Technology Integration, Educational Technology, Middle School Teachers
West, Deborah; Luzeckyj, Ann; Searle, Bill; Toohey, Danny; Vanderlelie, Jessica; Bell, Kevin R. – Australasian Journal of Educational Technology, 2020
This article reports on a study exploring student perspectives on the collection and use of student data for learning analytics. With data collected via a mixed methods approach from 2,051 students across six Australian universities, it provides critical insights from students as a key stakeholder group. Findings indicate that while students are…
Descriptors: Stakeholders, Undergraduate Students, Graduate Students, Student Attitudes
Saito, Daisuke; Kaieda, Shota; Washizaki, Hironori; Fukazawa, Yoshiaki – Journal of Information Technology Education: Innovations in Practice, 2020
Aim/Purpose: Although many computer science measures have been proposed, visualizing individual students' capabilities is difficult, as those measures often rely on specific tools and methods or are not graded. To solve these problems, we propose a rubric for measuring and visualizing the effects of learning computer programming for elementary…
Descriptors: Scoring Rubrics, Visualization, Learning Analytics, Computer Science Education
Michel, Marije; Révész, Andrea; Lu, Xiaojun; Kourtali, Nektaria-Efstathia; Lee, Minjin; Borges, Lais – Second Language Research, 2020
Most research into second language (L2) writing has focused on the products of writing tasks; much less empirical work has examined the behaviours in which L2 writers engage and the cognitive processes that underlie writing behaviours. We aimed to fill this gap by investigating the extent to which writing speed fluency, pausing, eye-gaze…
Descriptors: Second Language Learning, Writing Processes, Cognitive Processes, Writing Skills
Guo, Hongwen; Zhang, Mo; Deane, Paul; Bennett, Randy E. – Journal of Educational Data Mining, 2020
This study investigates the effects of a scenario-based assessment design on students' writing processes. An experimental data set consisting of four design conditions was used in which the number of scenarios (one or two) and the placement of the essay task with respect to the lead-in tasks (first vs. last) were varied. Students' writing…
Descriptors: Instructional Effectiveness, Vignettes, Writing Processes, Learning Analytics
Yoo, Mina; Jin, Sung-Hee – Educational Technology & Society, 2020
Online discussion plays an increasingly significant role in asynchronous online learning environments. While previous attempts have been made to develop learning analytics dashboards to facilitate such discussions, most of these dashboards have been designed without reference to data or visualization techniques that have been proven to make online…
Descriptors: Learning Analytics, Computer Interfaces, Visual Aids, Computer Mediated Communication
P. Rose, Simon; Habgood, M. P. Jacob; Jay, Tim – Journal of Educational Computing Research, 2020
The recent shift in compulsory education from ICT-focused computing curricula to informatics, digital literacy and computer science, has resulted in children being taught computing using block-based programming tools such as Scratch, with teaching that is often limited by school resources and teacher expertise. Even without these limitations,…
Descriptors: Programming Languages, Computer Science Education, Game Based Learning, Educational Games
Joosten, Tanya; Lee-McCarthy, Kate; Harness, Lindsey; Paulus, Ryan – Online Learning Consortium, 2020
Underrepresented students enrolled in postsecondary educational institutions in the U.S. are faced with key barriers and challenges that have created an equity gap. By considering the needs of underrepresented students, faculty and institutions are able to implement digital course ware solutions to take a step towards closing the equity gap and…
Descriptors: Electronic Learning, Educational Innovation, Educational Trends, Technology Uses in Education
Frederick, Jennifer K.; Wolff-Eisenberg, Christine – ITHAKA S+R, 2020
The Ithaka S+R Library Survey 2019 examines strategy and leadership issues from the perspective of academic library deans and directors. This project aims to provide academic librarians and higher education leaders with information about chief librarians' visions and the opportunities and challenges they face in leading their organizations. In…
Descriptors: Academic Libraries, Library Administration, Library Services, Value Judgment
Kenneth Holstein; Gena Hong; Mera Tegene; Bruce M. McLaren; Vincent Aleven – Grantee Submission, 2018
When used in classrooms, personalized learning software allows students to work at their own pace, while freeing up the teacher to spend more time working one-on-one with students. Yet such personalized classrooms also pose unique challenges for teachers, who are tasked with monitoring classes working on divergent activities, and prioritizing…
Descriptors: Middle School Teachers, Mathematics Teachers, Technology Uses in Education, Educational Technology
Calvo, Miquel; Carnicer, Artur; Cuadros, Jordi; Martori, Francesc; Miñarro, Antonio; Serrano, Vanessa – EURASIA Journal of Mathematics, Science and Technology Education, 2019
Open-ended tasks are common in Science, Technology, Engineering and Mathematics (STEM) education. However, as far as we know, no tools have been developed to assist in the assessment of the solution process of open-ended questions. In this paper, we propose the use of analysis of traces as a tool to address this need. To illustrate this approach,…
Descriptors: Computer Assisted Testing, STEM Education, Programming Languages, Undergraduate Students
McKenna, Kelly; Pouska, Beth; Moraes, Marcia C.; Folkestad, James E. – Contemporary Educational Technology, 2019
Accessible learning analytics available from the data within learning management systems, can assist with teaching and learning practices, but often this data is difficult to interpret. Learning analytics, specifically those presented in visual-form, can provide information that supports learners' reflection and guides them to the necessary…
Descriptors: Learning Analytics, Critical Thinking, Reflection, Feedback (Response)