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Tilisa Thibodeaux; Dwayne Harapnuik – International Journal on E-Learning, 2024
This study explored and analyzed student perceptions of feedback for deeper learning in an online graduate program at a regionally accredited institution in the southeastern United States. Forty-one graduate students participated in an online survey to examine students' preferences for feedback, the most helpful types of feedback, and if feedback…
Descriptors: Student Attitudes, Feedback (Response), Learning Processes, Electronic Learning
Gungadeen, Anuradha; Rajnee, Lobind – International Journal on E-Learning, 2023
With the current shift in educational settings to blended and flipped classroom and the introduction of learning management systems (LMS) such as Moodle, it is no surprise big data has found its place in education and is predicted to be extensively implemented in institutions of higher education (Johnson et al., 2013). In a flipped classroom…
Descriptors: Learning Analytics, Teacher Student Relationship, Peer Relationship, Interaction
Julia Fuller; Anissa Lokey-Vega – International Journal on E-Learning, 2024
This case study reviews the implementation of a learning analytics (LA) system at a large southeastern university. The LA system uses cloud computing to automate data collection and distribution, providing faculty with insights into student performance and engagement. The system includes weekly alert emails and dashboards offering detailed…
Descriptors: Learning Analytics, Learning Management Systems, Universities, College Faculty
Lewitzky, Rachael A. – International Journal on E-Learning, 2022
COVID-19 saw a number of courses and programs in higher education transition to online platforms. While online learning environments provide novel opportunities for pedagogy and technological integration, it is essential that educators feel they are supported with teaching via a new medium. Introductory mathematics and statistics courses have also…
Descriptors: Online Courses, Statistics Education, Teaching Methods, COVID-19
Nadiah, Nurul; Salleh, Sallimah; Laxman, Kumar – International Journal on E-Learning, 2021
This study was carried out in order to investigate the impact of implementing video-based predict-observe-explain (POE) on students' scientific literacy, particularly in chemistry's concept of salts. The hypothesis of this study was that students' scientific literacy would improve after implementing video-based POE within teaching, in the context…
Descriptors: Video Technology, Worksheets, Intervention, Pretests Posttests
Barbosa, Jorge; Barbosa, Debora; Rabello, Solon – International Journal on E-Learning, 2016
Use of mobile devices and widespread adoption of wireless networks have enabled the emergence of Ubiquitous Computing. Application of this technology to improving education strategies gave rise to Ubiquitous e-Learning, also known as Ubiquitous Learning. There are several approaches to organizing ubiquitous learning environments, but most of them…
Descriptors: Foreign Countries, Electronic Learning, Models, Cooperative Learning
Kelsen, Brent; Flowers, Simeon – International Journal on E-Learning, 2018
Personality traits are believed to affect both learner ability and group dynamics and cohesion. Another central element influencing how individuals perform in group settings stems from their motivation to collaborate. This article explores the relationship between personality traits, motivation for collaboration and participation of university…
Descriptors: Foreign Countries, Personality Traits, Student Motivation, Cooperative Learning
Maglajlic, Seid – International Journal on E-Learning, 2016
This paper describes the implementation of a framework for the construction and utilization of social networks in ELearning. These social networks aim to enhance collaboration between all E-Learning participants (i.e. both traineeto-trainee and trainee-to-tutor communication are targeted). E-Learning systems that include a so-called "social…
Descriptors: Social Networks, Network Analysis, Electronic Learning, Guidelines
Khuzzan, Sharifah Mazlina Syed; Goulding, Jack Steven – International Journal on E-Learning, 2016
Education and training is widely acknowledged as being one of the key factors for leveraging organisational success. However, it is equally acknowledged that skills development and the acquisition of learning through managed cognitive approaches has yet to provide a "perfect" match. Whilst it is argued that an ideal learning scenario…
Descriptors: Cognitive Style, Computer Simulation, Skill Development, Preferences
Caroline Morales – International Journal on E-Learning, 2024
As American public education becomes increasingly technology-based, multiple new data sources become accessible for educators to better understand student learning processes. Novel data analysis applications became necessary during severe disruptions due to the COVID pandemic. This case study highlights a novel method for identifying high school…
Descriptors: COVID-19, Pandemics, Data Analysis, Learning Processes
Kim, Taesung; Welch, Steven; Nam, Seungwan – International Journal on E-Learning, 2016
The purpose of this research was to: (a) explore graduate students' perceptions of and preferences for online credit courses; (b) analyze and compare this study's findings to those from previous research; and (c), based on findings, recommend further improvements to graduate online courses. Analysis of survey data from graduate students enrolled…
Descriptors: Online Courses, Preferences, Graduate Students, Student Attitudes
Walters, Kelley Jo; Henry, Patricia; Vinella, Michael; Wells, Steve; Shaw, Melanie; Miller, James – International Journal on E-Learning, 2015
Providing transparent written feedback to doctoral students is essential to the learning process and preparation for the capstone. The purpose of this study was to conduct a qualitative exploration of faculty feedback on benchmark written assignments across multiple, online doctoral programs. The Corpus for this analysis included 236 doctoral…
Descriptors: Computational Linguistics, Feedback (Response), Graduate Students, College Faculty
Ang, Chee Siang; Avni, Einav; Zaphiris, Panayiotis – International Journal on E-Learning, 2008
This article reviews a range of literature of computer games and learning theories and attempts to establish a link between them by proposing a typology of games which we use as a new usability measure for the development of guidelines for game-based learning. First, we examine game literature in order to understand the key elements that…
Descriptors: Constructivism (Learning), Classification, Guidelines, Educational Technology
Vogten, Hubert; Tattersall, Colin; Koper, Rob; van Rosmalen, Peter; Brouns, Francis; Sloep, Peter; van Bruggen, Jan; Martens, Harrie – International Journal on E-Learning, 2006
Specifications and standards for e-learning are becoming increasingly sophisticated and complex as they deal with the core of the learning process. Simple transformations are no longer adequate to successfully implement these latest specifications and standards for e-learning. IMS Learning Design (LD) (IMS, 2003b) is a representative of such a new…
Descriptors: Learning Processes, Internet, Computer Assisted Instruction, Models
Bouzeghoub, Amel; Defude, Bruno; Duitama, John Freddy; Lecocq, Claire – International Journal on E-Learning, 2006
Our claim is that semantic metadata are required to allow a real reusing and assembling of learning objects. Our system is based on three models used to describe the domain, learners, and learning objects. The learning object model is inspired from knowledge representation proposals. A learning object can be reused directly or can be combined with…
Descriptors: Semantics, Knowledge Representation, Metadata, Learning Processes
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