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Tzafilkou, Katerina; Protogeros, Nicolaos – European Educational Researcher, 2020
This study investigates students' mouse behavior during their interaction with a web-based experiential learning environment for Computer Science courses. The research focuses on the detection of correlations between the monitored mouse metrics and students' technology acceptance items of perceived usefulness and ease of use. Findings reveal…
Descriptors: Electronic Learning, Learning Analytics, Student Attitudes, Usability
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Israel-Fishelson, Rotem; Hershkovitz, Arnon – Journal of Educational Computing Research, 2020
Persistence has proven to be a great challenge in online learning environments. Gaming and interactivity have been suggested as essential features in reducing dropout and increasing persistence in online learning. Yet in interactive game-based learning environments, persistence in moving forward in the game may come at the expense of investing in…
Descriptors: Game Based Learning, Elementary School Students, Thinking Skills, Persistence
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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
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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
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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
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
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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
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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
Dina Foster; Caitlin McLemore; Brandon Olszewski; Ali Chaudhry; Ekaterina Cooper; Laurie Forcier; Rose Luckin – UK Department for Education, 2023
A rapid, exploratory review to establish a shared understanding of what constitutes good quality EdTech and implementation. The review: (1) examined existing frameworks and standards; and (2) identified the characteristics, quality components, essential conditions and evaluation criteria for the design and implementation of EdTech. The report…
Descriptors: Standards, Educational Technology, Guidelines, Evidence Based Practice
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Williamson, Ben – British Journal of Educational Technology, 2019
Digital data are transforming higher education (HE) to be more student-focused and metrics-centred. In the UK, capturing detailed data about students has become a government priority, with an emphasis on using student data to measure, compare and assess university performance. The purpose of this paper is to examine the governmental and commercial…
Descriptors: Foreign Countries, Higher Education, Technology Uses in Education, Data Analysis
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Toro-Troconis, Maria; Alexander, Jesse; Frutos-Perez, Manuel – International Journal of Higher Education, 2019
This paper presents the learning design framework used in the design of the Online MA in Photography at Falmouth University. It discusses the importance of evaluating the success of online learning programmes by analysing learning analytics and student feedback within the overall pedagogic context and design of the programme. Linear regression…
Descriptors: Foreign Countries, Graduate Students, Instructional Design, Curriculum Design
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Rajabalee, Yousra Banoor; Santally, Mohammad Issack; Rennie, Frank – International Journal of Distance Education Technologies, 2020
This paper reports the findings of a research using marks of students in learning activities of an online module to build a predictive model of performance for the final assessment of the module. The objectives were (1) to compare the performances of students of two cohorts in terms of continuous learning assessment marks and final learning…
Descriptors: Performance Factors, Electronic Learning, Learning Analytics, Learning Activities
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Georgakopoulos, Ioannis; Chalikias, Miltiadis; Zakopoulos, Vassilis; Kossieri, Evangelia – Education Sciences, 2020
Our modern era has brought about radical changes in the way courses are delivered and various teaching methods are being introduced to answer the purpose of meeting the modern learning challenges. On that account, the conventional way of teaching is giving place to a teaching method which combines conventional instructional strategies with…
Descriptors: Academic Failure, Blended Learning, Learner Engagement, Student Participation
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Knoop-van Campen, Carolien; Molenaar, Inge – Frontline Learning Research, 2020
In technology empowered classrooms teachers receive real-time data about students' performance and progress on teacher dashboards. Dashboards have the potential to enhance teachers' feedback practices and complement human-prompted feedback that is initiated by teachers themselves or students asking questions. However, such enhancement requires…
Descriptors: Feedback (Response), Technology Integration, Teacher Student Relationship, Behavior Patterns
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Mozahem, Najib Ali – International Journal of Mobile and Blended Learning, 2020
Higher education institutes are increasingly turning their attention to web-based learning management systems. The purpose of this study is to investigate whether data collected from LMS can be used to predict student performance in classrooms that use LMS to supplement face-to-face teaching. Data was collected from eight courses spread across two…
Descriptors: Integrated Learning Systems, Data Use, Prediction, Academic Achievement
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