Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 7 |
Descriptor
Source
Australasian Journal of… | 1 |
Education and Information… | 1 |
IEEE Transactions on Education | 1 |
International Journal of… | 1 |
International Journal on… | 1 |
Journal of Asynchronous… | 1 |
Journal of Statistics… | 1 |
Author
Publication Type
Journal Articles | 7 |
Reports - Descriptive | 7 |
Education Level
Higher Education | 4 |
Postsecondary Education | 4 |
Elementary Secondary Education | 1 |
Grade 10 | 1 |
Secondary Education | 1 |
Audience
Teachers | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Valencia-Arias, Alejandro; Chalela-Naffah, Salim; Bermúdez-Hernández, Jonathan – Education and Information Technologies, 2019
The incorporation of information and communications technology (ICT) in teaching and learning processes has created new challenges for administrative and academic processes in educational institutions. This paper proposes an E-Learning Tools Acceptance Model (eLTAM) with the purpose of examining the level of acceptance and critical factors of…
Descriptors: Electronic Learning, Developing Nations, Information Technology, Teaching Methods
McGee, Monnie; Stokes, Lynne; Nadolsky, Pavel – Journal of Statistics Education, 2016
Much has been made of the flipped classroom as an approach to teaching, and its effect on student learning. The volume of material showing that the flipped classroom technique helps students better learn and better retain material is increasing at a rapid pace. Coupled with this technique is active learning in the classroom. There are many ways of…
Descriptors: Statistics, Active Learning, Video Technology, Homework
Lei, Wu; Qing, Fang; Zhou, Jin – International Journal of Distance Education Technologies, 2016
There are usually limited user evaluation of resources on a recommender system, which caused an extremely sparse user rating matrix, and this greatly reduce the accuracy of personalized recommendation, especially for new users or new items. This paper presents a recommendation method based on rating prediction using causal association rules.…
Descriptors: Causal Models, Attribution Theory, Correlation, Evaluation Methods
Lozano-Guerrero, Antonio José; Valenzuela-Valdés, Juan Francisco – IEEE Transactions on Education, 2015
This paper presents a new course, Radionavigation Systems, whose laboratory and theoretical components complement each other to enhance student learning. Radionavigation skills and knowledge are taught by means of various instructional methods, and the laboratory successfully merges hands-on learning using specific instrumentation and software…
Descriptors: Radio, Navigation, Geographic Information Systems, College Students
Cicco, Gina – International Journal on E-Learning, 2009
Discourse on the value of online instruction continues to prevail in institutions of higher education. Recent evidence points to the relationships among specific learning-style preferences and achievement and attitudes in online versus in-class courses (Cicco, 2007). Academic advisement has been documented as a critical factor in student retention…
Descriptors: College Students, Course Selection (Students), Academic Advising, School Holding Power
Stiller, Klaus D.; Jedlicka, Rosemarie – Australasian Journal of Educational Technology, 2010
In instructional multimedia design, it is often recommended that text accompanying pictures be presented in a personalised style to promote learning. The superiority of personalised over formal text is may be explained using social agency theory (Mayer, 2005b), but it has not been investigated empirically whether such effects are valid in…
Descriptors: Computer Assisted Instruction, Prior Learning, Grade 10, Instructional Design
Dziuban, Charles; Moskal, Patsy; Brophy, Jay; Shea, Peter – Journal of Asynchronous Learning Networks, 2007
The authors discuss elements that potentially impact student satisfaction with asynchronous learning: the media culture, digital, personal and mobile technologies, student learning preferences, pedagogy, complexities of measurement, and the digital generation. They describe a pilot study to identify the underlying dimensions of student…
Descriptors: Student Attitudes, Learner Engagement, Correlation, Evaluation Methods