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Bart, Rienties; Olney, Tom; Nichols, Mark; Herodotou, Christothea – Open Learning, 2020
The implementation of learning analytics may empower distance learning institutions to provide real-time feedback to students and teachers. Given the leading role of the Open University UK (OU) in research and application of learning analytics, this study aims to share the lessons learned from the experiences of 42 participants from a range of…
Descriptors: Learning Analytics, Distance Education, Teacher Attitudes, Individualized Instruction
Han, Feifei; Ellis, Robert – Comunicar: Media Education Research Journal, 2020
In researching student learning experience in Higher Education, a dearth of studies has investigated cognitive, social, and material dimensions simultaneously with the same population. From an ecological perspective of learning, this study examined the interrelatedness amongst key elements in these dimensions of 365 undergraduates' personalised…
Descriptors: Blended Learning, Electronic Learning, Synchronous Communication, Social Networks
Klose, Mark; Desai, Vasvi; Song, Yang; Gehringer, Edward – International Educational Data Mining Society, 2020
Imagine a student using an intelligent tutoring system. A researcher records the correctness and time of each of your attempts at solving a math problem, nothing more. With no names, no birth dates, no connections to the school, you would think it impossible to track the answers back to the class. Yet, class sections have been identified with no…
Descriptors: Privacy, Learning Analytics, Data Collection, Information Storage
Mason, Jon; Chen, Weiqin; Hoel, Tore – Research and Practice in Technology Enhanced Learning, 2016
In providing a meta-analysis of a series of workshop papers and questions arising on the emergent field of learning analytics, this paper contributes to the ongoing formation of a shared research agenda. The first ICCE Learning Analytics workshop in 2014 demonstrated the effectiveness of a focused questioning session for collecting relevant data…
Descriptors: Learning Analytics, Data Collection, Questioning Techniques, Research Methodology
Pelánek, Radek; Effenberger, Tomáš; Kukucka, Adam – Journal of Educational Data Mining, 2022
We study the automatic identification of educational items worthy of content authors' attention. Based on the results of such analysis, content authors can revise and improve the content of learning environments. We provide an overview of item properties relevant to this task, including difficulty and complexity measures, item discrimination, and…
Descriptors: Item Analysis, Identification, Difficulty Level, Case Studies
Nasrollahian Mojarad, Sara; Cruz, Laura – To Improve the Academy, 2022
MegaSoTL projects are scholarship of teaching and learning (SoTL) projects that generate evidence of learning from multiple institutions. While being increasingly practiced, MegaSoTL projects and their potential contribution to improve higher education pedagogy remain understudied in higher education literature. In this article, we introduce…
Descriptors: Scholarship, Teaching Methods, Learning Processes, Higher Education
Johnson, Andy; Miller, Shawn – Advanced Distributed Learning Initiative, 2022
The founding goal of using standards within acquisition of distributed learning content and technology is to reduce cost in both current and future acquisitions and collaborative efforts across organizations. This document explores existing successful acquisitions and supplies that language as well as successful ways to implement best practices of…
Descriptors: Standards, Course Content, Information Technology, Cost Effectiveness
Gonzalez, Naihobe; Alberty, Elizabeth; Brockman, Stacey; Nguyen, Tutrang; Johnson, Matthew; Bond, Sheldon; O'Connell, Krista; Corriveau, Adrianna; Shoji, Megan; Streeter, Megan; Engle, Jennifer; Goodly, Chelsea; Neely, Adrian N.; White, Mary Aleta; Anderson, Mindelyn; Matthews, Channing; Mason, Leana; Means, Sheryl Felecia – Mathematica, 2022
The Education-to-Workforce Indicator Framework (E-W Framework), commissioned by the Bill & Melinda Gates Foundation and developed in partnership with leading experts representing more than 15 national and community organizations, is designed to encourage greater cross-sector collaboration and alignment across local, state, and national data…
Descriptors: Education Work Relationship, Evidence Based Practice, Student Characteristics, Partnerships in Education
Pelletier, Kathe; McCormack, Mark; Reeves, Jamie; Robert, Jenay; Arbino, Nichole – EDUCAUSE, 2022
Two years into the COVID-19 pandemic, much still feels the same, though in some important ways thinking and behaviors may be shifting in anticipation of longer-term changes in the ways lives are structured and how places and spaces are shared. In higher education, these shifts may reflect an evolution from short-term "emergency" or…
Descriptors: Higher Education, Educational Trends, COVID-19, Pandemics
Flanagan, Brendan; Ogata, Hiroaki – Knowledge Management & E-Learning, 2018
In recent years, learning analytics has become a hot topic with many institutes deploying learning management systems and learning analytics tools. In this paper, we introduce learning analytics platforms that have been established in two top national Japanese universities. These initiatives are part of a broader research project into creating…
Descriptors: Foreign Countries, Learning Analytics, Higher Education, Integrated Learning Systems
Choi, Ikkyu; Hao, Jiangang; Deane, Paul; Zhang, Mo – ETS Research Report Series, 2021
"Biometrics" are physical or behavioral human characteristics that can be used to identify a person. It is widely known that keystroke or typing dynamics for short, fixed texts (e.g., passwords) could serve as a behavioral biometric. In this study, we investigate whether keystroke data from essay responses can lead to a reliable…
Descriptors: Accuracy, High Stakes Tests, Writing Tests, Benchmarking
Crowley-Cyr, Lynda; Hevers, James – Journal of University Teaching and Learning Practice, 2021
The University of Southern Queensland's online study environment continues to grow with over 16,000 students studying online. Pre-Covid-19, online enrolments typically represent around 67% of all students studying at USQ. This article usefully analyses quantitative data in order to evaluate the effectiveness of the pilot of an online peer-assisted…
Descriptors: Peer Teaching, Learner Engagement, Academic Achievement, Electronic Learning
Calvo-Ferrer, José Ramón – International Journal of Game-Based Learning, 2021
The frequency of word exposure in teaching materials, along with corrective feedback, has often been identified as a powerful variable in the learning of vocabulary in a foreign language. The effect of the number of times an action is presented as accurate in digital game-based language learning scenarios (i.e., knowledge of correct response [KCR]…
Descriptors: Feedback (Response), Error Correction, Computer Games, Video Games
Whitcomb, Kyle M.; Guthrie, Matthew W.; Singh, Chandralekha; Chen, Zhongzhou – Physical Review Physics Education Research, 2021
In two earlier studies, we developed a new method to measure students' ability to transfer physics problem-solving skills to new contexts using a sequence of online learning modules, and implemented two interventions in the form of additional learning modules designed to improve transfer ability. The current paper introduces a new data analysis…
Descriptors: Accuracy, Measurement Techniques, Electronic Learning, Learning Modules
Yamashita, Taichi – Language Learning & Technology, 2021
This study investigated the effects of corrective feedback (CF) during in-class computer-mediated collaborative writing on grammatical accuracy in a new piece of individual writing. Forty-eight ESL students at an American university worked on two computer-mediated animation description tasks in pairs. The experimental group received indirect CF on…
Descriptors: Error Correction, Feedback (Response), Computer Mediated Communication, Synchronous Communication

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