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Bo Pei; Ying Cheng; Alex Ambrose; Eva Dziadula; Wanli Xing; Jie Lu – Smart Learning Environments, 2024
The availability of large-scale learning data presents unprecedented opportunities for investigating student learning processes. However, it is challenging for instructors to fully make sense of this data and effectively support their teaching practices. This study introduces LearningViz, an interactive learning analytics dashboard to help…
Descriptors: Learning Analytics, Learning Management Systems, Computer Uses in Education, Educational Technology
Sandra Gallagher; Alan Sixsmith – Interactive Technology and Smart Education, 2014
Purpose: This paper aims to report on the efforts made to enhance the engagement of IT students with non-IT-specific content. The mechanism to foster this engagement was the introduction of an eLearning information system (ELIS) for a finance-related subject within an IT undergraduate degree at the university. The subject developers were primarily…
Descriptors: Foreign Countries, Undergraduate Students, Information Technology, Technology Education
Llamas-Nistal, Martin; Fernandez-Iglesias, Manuel J.; Gonzalez-Tato, Juan; Mikic-Fonte, Fernando A. – Computers & Education, 2013
Existing e-assessment tools may not be a panacea to address all assessment situations, as students might find the traditional pen-and-paper approach to provide their answers more convenient than typing them online. For example, constructed response or essay-based assessments will require the active participation of students and lecturers to…
Descriptors: Foreign Countries, Evaluation Methods, Student Evaluation, Grading
Picciano, Anthony G. – Journal of Asynchronous Learning Networks, 2012
Data-driven decision making, popularized in the 1980s and 1990s, is evolving into a vastly more sophisticated concept known as big data that relies on software approaches generally referred to as analytics. Big data and analytics for instructional applications are in their infancy and will take a few years to mature, although their presence is…
Descriptors: Higher Education, Decision Making, Data, Data Analysis
Marty, J.-C.; Carron, T. – IEEE Transactions on Learning Technologies, 2011
The work reported here takes place in the educational domain. Learning with Computer-Based Learning Environments changes habits, especially for teachers. In this paper, we wish to demonstrate through examples how learning sessions set up in a Game-Based Learning environment may be regulated by the teacher thanks to observation facilities.…
Descriptors: Educational Environment, Computer Assisted Instruction, Learning Activities, Observation
Cocea, M.; Weibelzahl, S. – IEEE Transactions on Learning Technologies, 2011
Learning environments aim to deliver efficacious instruction, but rarely take into consideration the motivational factors involved in the learning process. However, motivational aspects like engagement play an important role in effective learning-engaged learners gain more. E-Learning systems could be improved by tracking students' disengagement…
Descriptors: Prediction, Electronic Learning, Online Courses, Delivery Systems
Greller, Wolfgang; Drachsler, Hendrik – Educational Technology & Society, 2012
With the increase in available educational data, it is expected that Learning Analytics will become a powerful means to inform and support learners, teachers and their institutions in better understanding and predicting personal learning needs and performance. However, the processes and requirements behind the beneficial application of Learning…
Descriptors: Foreign Countries, Computer Uses in Education, Ethics, Best Practices
Dziuban, Charles; Moskal, Patsy; Cavanagh, Thomas; Watts, Andre – Journal of Asynchronous Learning Networks, 2012
The authors describe the University of Central Florida's top-down/bottom-up action analytics approach to using data to inform decision-making at the University of Central Florida. The top-down approach utilizes information about programs, modalities, and college implementation of Web initiatives. The bottom-up approach continuously monitors…
Descriptors: Educational Change, Strategic Planning, Research Utilization, Databases
Meyer, David – Computers & Education, 2009
A frequent task in educational settings is to assign students to groups based on stated preferences for some projects or topics. This paper introduces a web-based tool supporting both the work flow of collecting student data and the group formation. The latter is based on finding optimal solutions to suitable mathematical assignment problems,…
Descriptors: Problem Solving, Internet, Classroom Techniques, Educational Technology
Swan, Gerry; Mazur, Joan – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2011
Although the term data-driven decision making (DDDM) is relatively new (Moss, 2007), the underlying concept of DDDM is not. For example, the practices of formative assessment and computer-managed instruction have historically involved the use of student performance data to guide what happens next in the instructional sequence (Morrison, Kemp, &…
Descriptors: Knowledge Management, Preservice Teachers, Formative Evaluation, Heuristics
Dyckhoff, Anna Lea; Zielke, Dennis; Bultmann, Mareike; Chatti, Mohamed Amine; Schroeder, Ulrik – Educational Technology & Society, 2012
Learning Analytics can provide powerful tools for teachers in order to support them in the iterative process of improving the effectiveness of their courses and to collaterally enhance their students' performance. In this paper, we present the theoretical background, design, implementation, and evaluation details of eLAT, a Learning Analytics…
Descriptors: Foreign Countries, Computer Uses in Education, Semi Structured Interviews, Usability
Olmos, Martin; Corrin, Linda – Journal of Asynchronous Learning Networks, 2012
The ability to visualize student engagement and experience data provides valuable opportunities for learning support and curriculum design. With the rise of the use of learning analytics to provide "actionable intelligence" on students' learning, the challenge is to create visualizations of the data, which are clear and useful to the…
Descriptors: Foreign Countries, Computer Graphics, Internet, Open Source Technology
Smith, Vernon C.; Lange, Adam; Huston, Daniel R. – Journal of Asynchronous Learning Networks, 2012
Community colleges continue to experience growth in online courses. This growth reflects the need to increase the numbers of students who complete certificates or degrees. Retaining online students, not to mention assuring their success, is a challenge that must be addressed through practical institutional responses. By leveraging existing student…
Descriptors: Academic Achievement, At Risk Students, Prediction, Community Colleges
Kazanidis, Ioannis; Satratzemi, Maya – International Journal of Distance Education Technologies, 2009
Adaptive Educational Hypermedia Systems provide personalized educational content to learners. However most of them do not support the functionality of Learning Management Systems (LMS) and the reusability of their courses is hard work. On the other hand some LMS support SCORM specifications but do not provide adaptive features. This article…
Descriptors: Feedback (Response), Hypermedia, Educational Technology, Computer Managed Instruction
Malikowski, Steven R. – Internet and Higher Education, 2008
A unique resource in course management systems (CMSs) is that they offer faculty members convenient access to a variety of integrated features. Some features allow faculty members to provide information to students, and others allow students to interact with each other or a computer. This diverse set of features can be used to help meet the…
Descriptors: Computer Managed Instruction, Integrated Learning Systems, Use Studies, College Faculty
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