Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 0 |
Since 2006 (last 20 years) | 4 |
Descriptor
Source
Computers & Education | 6 |
Author
Squires, David | 2 |
Barrero, F. | 1 |
Dawson, Shane | 1 |
Grubisic, Ani | 1 |
Koseler, Refika | 1 |
Macfadyen, Leah P. | 1 |
Martinez-Torres, M. R. | 1 |
McDougall, Anne | 1 |
Ozkan, Sevgi | 1 |
Preece, Jenny | 1 |
Rosic, Marko | 1 |
More ▼ |
Publication Type
Journal Articles | 6 |
Reports - Research | 5 |
Reports - Evaluative | 1 |
Education Level
Higher Education | 3 |
Postsecondary Education | 3 |
Elementary Secondary Education | 1 |
Audience
Location
United Kingdom | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Stankov, Slavomir; Rosic, Marko; Zitko, Branko; Grubisic, Ani – Computers & Education, 2008
Special classes of asynchronous e-learning systems are the intelligent tutoring systems which represent an advanced learning and teaching environment adaptable to individual student's characteristics. Authoring shells have an environment that enables development of the intelligent tutoring systems. In this paper we present, in entirety, for the…
Descriptors: Elementary Secondary Education, Intelligent Tutoring Systems, Artificial Intelligence, Tutoring
Ozkan, Sevgi; Koseler, Refika – Computers & Education, 2009
There has been little research on assessment of learning management systems (LMS) within educational organizations as both a web-based learning system for e-learning and as a supportive tool for blended learning environments. This study proposes a conceptual e-learning assessment model, hexagonal e-learning assessment model (HELAM) suggesting a…
Descriptors: Content Validity, Predictive Validity, Factor Analysis, Internet

Squires, David; Preece, Jenny – Computers & Education, 1996
Discussion of the predictive evaluation of educational software, i.e. the evaluation of software prior to its intended use, focuses on a model known as the Jigsaw Model, which attempts to integrate usability and educational issues. Highlights include the failure of checklists for evaluation and two studies that tested the model with practicing…
Descriptors: Check Lists, Computer Software Evaluation, Courseware, Evaluation Methods
Macfadyen, Leah P.; Dawson, Shane – Computers & Education, 2010
Earlier studies have suggested that higher education institutions could harness the predictive power of Learning Management System (LMS) data to develop reporting tools that identify at-risk students and allow for more timely pedagogical interventions. This paper confirms and extends this proposition by providing data from an international…
Descriptors: Network Analysis, Academic Achievement, At Risk Students, Prediction

McDougall, Anne; Squires, David – Computers & Education, 1995
Discusses a new paradigm for choosing educational software, based on the perspectives of the teacher, student, and designer; describes a study of the use of this paradigm by a group of teachers. Results indicated the paradigm helped assessors to articulate a holistic awareness of educational issues, enabling a coherent review of pedagogical,…
Descriptors: Computer Software Evaluation, Computer Software Selection, Courseware, Designers
Toral, S. L.; Barrero, F.; Martinez-Torres, M. R. – Computers & Education, 2007
This paper presents an exploratory study about the development of a structural and measurement model for the technological acceptance (TAM) of a web-based educational tool. The aim consists of measuring not only the use of this tool, but also the external variables with a significant influence in its use for planning future improvements. The tool,…
Descriptors: Educational Environment, Computer Assisted Instruction, Internet, Higher Education