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AL-Sayid, Fareed; Kirkil, Gokhan – Education and Information Technologies, 2023
The novelty of this study is in developing a conceptual model for predicting the non-linear relationships between human-computer interaction factors and ease of use and usefulness of collaborative web-based learning or e-learning. Ten models (logarithmic, inverse, quadratic, cubic, compound, power, s-curve, growth, exponential, and logistic) were…
Descriptors: Cooperative Learning, Electronic Learning, Web Based Instruction, Man Machine Systems
Kishabale, Bashir – International Journal of Education and Development using Information and Communication Technology, 2021
The current study, guided by the cross-sectional survey method, assessed interface design quality, and its predictive ability on E-learners' post-adoption behavior in E-learning course environments. DeLone and McLean's Information Systems Success Model, Khan's E-learning Framework, and Bhattacherjee's Information System Continuance Model formed…
Descriptors: Electronic Learning, Computer Interfaces, Design, Predictive Validity
Ghilay, Yaron – Journal of Educational Technology, 2018
The aim of the study was to examine the effectiveness of a model called Video-Based Learning (VBL). VBL is designed to improve the learning of higher education courses, especially those based on activities performed on a computer screen, or learning related to the understanding of visual objects, such as formulas, equations, diagrams, etc. The…
Descriptors: Interactive Video, Higher Education, Student Attitudes, Foreign Countries
Bull, Susan; Kay, Judy – International Journal of Artificial Intelligence in Education, 2016
The SMILI? (Student Models that Invite the Learner In) Open Learner Model Framework was created to provide a coherent picture of the many and diverse forms of Open Learner Models (OLMs). The aim was for SMILI? to provide researchers with a systematic way to describe, compare and critique OLMs. We expected it to highlight those areas where there…
Descriptors: Educational Research, Data Collection, Data Analysis, Intelligent Tutoring Systems
Philip, Robyn – Australasian Journal of Educational Technology, 2018
Bridging the gap between theory and practice in higher education continues to be problematic for educators. One potential means of addressing this problem and moving practice forward is to articulate and share learning designs created from the work of exemplary practitioners. This study offers a new representation of learning design which…
Descriptors: Creativity, Creative Thinking, Higher Education, Theory Practice Relationship
Osler, James Edward, II.; Wright, Mark Anthony – Journal of Educational Technology, 2015
The purpose of this research investigation was to look at the factors that lead to isolation, lack of student inspiration and motivation, lack of student engagement and lack of student retention in the asynchronous online learning environment. The study further delves into how the use of cognitive and neuroscience research can inform the design of…
Descriptors: Distance Education, Models, Meta Analysis, Instructional Innovation
Hafidi, Mohamed; Bensebaa, Taher – International Journal of Distance Education Technologies, 2015
The majority of adaptive and intelligent tutoring systems (AITS) are dedicated to a specific domain, allowing them to offer accurate models of the domain and the learner. The analysis produced from traces left by the users is didactically very precise and specific to the domain in question. It allows one to guide the learner in case of difficulty…
Descriptors: Intelligent Tutoring Systems, Foreign Countries, Interdisciplinary Approach, Universities
Kim, SooHwan; Kim, HyeonCheol; Han, SeonKwan – Behaviour & Information Technology, 2013
This article describes the development of learning widget on m-learning and e-learning environments. A widget is a small, simple and useful application supporting user-oriented contents. The user may select and install widgets that are convenient as well as an auto-updating application including weather or calendar. These widgets are especially…
Descriptors: Foreign Countries, Electronic Learning, Handheld Devices, Computer Oriented Programs
Rupp, Andre A.; Levy, Roy; Dicerbo, Kristen E.; Sweet, Shauna J.; Crawford, Aaron V.; Calico, Tiago; Benson, Martin; Fay, Derek; Kunze, Katie L.; Mislevy, Robert J.; Behrens, John T. – Journal of Educational Data Mining, 2012
In this paper we describe the development and refinement of "evidence rules" and "measurement models" within the "evidence model" of the "evidence-centered design" (ECD) framework in the context of the "Packet Tracer" digital learning environment of the "Cisco Networking Academy." Using…
Descriptors: Computer Networks, Evidence Based Practice, Design, Instructional Design
Liang, Hai-Ning; Sedig, Kamran – Interactive Learning Environments, 2009
Interactive learning environments (ILEs) are increasingly used to support and enhance instruction and learning experiences. ILEs maintain and display information, allowing learners to interact with this information. One important method of interacting with information is navigation. Often, learners are required to navigate through the information…
Descriptors: Computer Interfaces, Hypermedia, Models, Evaluation Methods
Amershi, Saleema; Conati, Cristina – Journal of Educational Data Mining, 2009
In this paper, we present a data-based user modeling framework that uses both unsupervised and supervised classification to build student models for exploratory learning environments. We apply the framework to build student models for two different learning environments and using two different data sources (logged interface and eye-tracking data).…
Descriptors: Supervision, Classification, Models, Educational Environment
Veletsianos, George – Computers & Education, 2010
Humans draw on their stereotypic beliefs to make assumptions about others. Even though prior research has shown that individuals respond socially to media, there is little evidence with regards to learners stereotyping and categorizing pedagogical agents. This study investigated whether learners stereotype a pedagogical agent as being…
Descriptors: Computer Assisted Instruction, Artists, Scientists, Context Effect
Blessing, Stephen B.; Gilbert, Stephen B.; Ourada, Stephen; Ritter, Steven – International Journal of Artificial Intelligence in Education, 2009
Intelligent Tutoring Systems (ITSs) that employ a model-tracing methodology have consistently shown their effectiveness. However, what evidently makes these tutors effective, the cognitive model embedded within them, has traditionally been difficult to create, requiring great expertise and time, both of which come at a cost. Furthermore, an…
Descriptors: Intelligent Tutoring Systems, Cognitive Processes, Models, Expertise
Moses, Oyelami Olufemi – Online Submission, 2008
More recent motivational research focuses on the identification of effective techniques for enhancing instructional design and meeting the needs of diverse student populations (Wlodkowski R. J., 1981). Learning-motivation researchers are applying some of the same theories and concepts found to be effective in industry to the development of…
Descriptors: Instructional Design, Educational Technology, Instructional Improvement, Models
Elci, Atilla – Turkish Online Journal of Educational Technology - TOJET, 2005
This paper reports on a study aiming to develop a metadata model for e-learning coordination based on semantic web languages. A survey of e-learning modes are done initially in order to identify content such as phases, activities, data schema, rules and relations, etc. relevant for a coordination model. In this respect, the study looks into the…
Descriptors: Metadata, Electronic Learning, Programming Languages, Models
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