Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 2 |
| Since 2017 (last 10 years) | 11 |
| Since 2007 (last 20 years) | 32 |
Descriptor
Source
Author
| Chen, Ruey-Shin | 2 |
| Liu, I-Fan | 2 |
| Aguilar, Eduardo | 1 |
| Albert, Michael | 1 |
| Allen, Stephanie | 1 |
| Allerup, Peter | 1 |
| Alrasheedi, Muasaad | 1 |
| Arranz, Sonia | 1 |
| Bank, Adrianne | 1 |
| Bateman, Andrea | 1 |
| Beatty, Brian J. | 1 |
| More ▼ | |
Publication Type
Education Level
| Higher Education | 24 |
| Postsecondary Education | 19 |
| Elementary Secondary Education | 2 |
| Adult Education | 1 |
| Grade 3 | 1 |
Audience
| Practitioners | 3 |
| Policymakers | 2 |
| Researchers | 2 |
| Students | 1 |
Location
| Taiwan | 4 |
| Germany | 2 |
| South Korea | 2 |
| United Kingdom | 2 |
| Australia | 1 |
| Canada | 1 |
| China | 1 |
| Denmark | 1 |
| Finland | 1 |
| Florida | 1 |
| Georgia | 1 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
| General Educational… | 2 |
| Advanced Placement… | 1 |
| Learning Style Inventory | 1 |
| Massachusetts Comprehensive… | 1 |
| NEO Five Factor Inventory | 1 |
What Works Clearinghouse Rating
Haoxin Xu; Tianrun Deng; Xianlong Xu; Xiaoqing Gu; Lingyun Huang; Haoran Xie; Minhong Wang – Education and Information Technologies, 2025
In the 21st century, the urgent educational demand for cultivating complex skills in vocational training and learning is met with the effectiveness of the four-component instructional design model. Despite its success, research has identified a notable gap in the address of formative assessment, particularly within computer-supported frameworks.…
Descriptors: Models, Instructional Design, Computer Assisted Testing, Formative Evaluation
Zhengyuan Liu – Education and Information Technologies, 2024
This study investigates the differential impacts of various online language assessment models--specifically, the Nonlinear Dynamic Individual-Centered Language Assessment (NDICLA), diagnostic assessment, and formative assessment--on the cognitive load and learning outcomes of English as a Foreign Language (EFL) learners within computer-assisted…
Descriptors: Computer Assisted Testing, Student Evaluation, Models, Second Language Learning
Dillon, Thomas; Wells, Donald – English Teaching, 2021
This study utilized Automated Speech Recognition technology to determine the potential utility and acceptance of such technology in the English as a Foreign Language classroom. Learners were made aware of the Automatic Speech Recognition potential of their mobile devices and provided with some direction in, and incentive for, its use. Participants…
Descriptors: Pronunciation Instruction, Audio Equipment, Second Language Learning, Second Language Instruction
Sessoms, John; Finney, Sara J. – International Journal of Testing, 2015
Because schools worldwide use low-stakes tests to make important decisions, value-added indices computed from test scores must accurately reflect student learning, which requires equal test-taking effort across testing occasions. Evaluating change in effort assumes effort is measured equivalently across occasions. We evaluated the longitudinal…
Descriptors: Testing, Measurement, Models, Change
Parental Perceptions and Recommendations of Computing Majors: A Technology Acceptance Model Approach
Powell, Loreen; Wimmer, Hayden – Information Systems Education Journal, 2017
Currently, there are more technology related jobs then there are graduates in supply. The need to understand user acceptance of computing degrees is the first step in increasing enrollment in computing fields. Additionally, valid measurement scales for predicting user acceptance of Information Technology degree programs are required. The majority…
Descriptors: Parent Attitudes, Majors (Students), Information Technology, Enrollment
Shroff, Ronnie H.; Keyes, Christopher J. – Journal of Information Technology Education: Research, 2017
Aim/Purpose: By integrating a motivational perspective into the Technology Acceptance Model, the goal of this study is to empirically test the causal relationship of intrinsic motivational factors on students' behavioral intention to use (BIU) a mobile application for learning. Background: Although the Technology Acceptance Model is a significant…
Descriptors: Student Motivation, Student Behavior, Intention, Telecommunications
Jansen, Renée S.; van Leeuwen, Anouschka; Janssen, Jeroen; Kester, Liesbeth; Kalz, Marco – Journal of Computing in Higher Education, 2017
The number of students engaged in Massive Open Online Courses (MOOCs) is increasing rapidly. Due to the autonomy of students in this type of education, students in MOOCs are required to regulate their learning to a greater extent than students in traditional, face-to-face education. However, there is no questionnaire available suited for this…
Descriptors: Online Courses, Independent Study, Questionnaires, Likert Scales
Jan, Muhammad Tahir – Interactive Technology and Smart Education, 2017
Purpose: The purpose of this paper is to investigate those factors that are associated with the adoption of social networking sites from the perspective of Muslim users residing in Malaysia. Design/methodology/approach: A complete self-administered questionnaire was collected from 223 Muslim users of social networking sites in Malaysia. Both…
Descriptors: Social Media, Educational Technology, Technology Uses in Education, Muslims
Leber, Jasmin; Renkl, Alexander; Nückles, Matthias; Wäschle, Kristin – Learning: Research and Practice, 2018
According to the model of constructive alignment, learners adjust their learning strategies to the announced assessment (backwash effect). Hence, when teaching for understanding, the assessment method should be aligned with this teaching goal to ensure that learners engage in corresponding learning strategies. A quasi-experimental field study with…
Descriptors: Learning Strategies, Testing Problems, Educational Objectives, Learning Motivation
Cuevas, Joshua; Dawson, Bryan L. – Theory and Research in Education, 2018
This study tested two cognitive models, learning styles and dual coding, which make contradictory predictions about how learners process and retain visual and auditory information. Learning styles-based instructional practices are common in educational environments despite a questionable research base, while the use of dual coding is less…
Descriptors: Cognitive Processes, Cognitive Style, Models, Comparative Analysis
Klein, Joseph – European Journal of Teacher Education, 2016
Purpose: To examine the contribution of horizontal and vertical organisational learning and its timing to the effective integration of teachers in classes they have not previously taught. Three hundred and forty-five teachers from 64 schools, with at least 4 years of teaching experience, completed questionnaires about the extent of horizontal (OL)…
Descriptors: Teacher Empowerment, Organizational Culture, Teacher Education, Professional Development
Lin, Jing-Wen – EURASIA Journal of Mathematics, Science & Technology Education, 2017
Cross-grade studies are valuable for the development of sequential curriculum. However such studies are time and resource intensive and fail to provide a clear representation to integrate different levels of representational complexity. Lin (Lin, 2006; Lin & Chiu, 2006; Lin, Chiu, & Hsu, 2006) proposed a cladistics approach in conceptual…
Descriptors: Cognitive Structures, Models, Visualization, Foreign Countries
Woods, Stephen A.; Patterson, Fiona C.; Koczwara, Anna; Sofat, Juilitta A. – Journal of Workplace Learning, 2016
Purpose: The aim of this paper is to examine the impact of personality traits of the Big Five model on training outcomes to help explain variation in training effectiveness. Design/Methodology/ Approach: Associations of the Big Five with self-reported learning following training were tested in a pre- and post-design in a field sample of junior…
Descriptors: Personality Traits, Models, Learning Processes, Training
Alrasheedi, Muasaad; Capretz, Luiz Fernando; Raza, Arif – Journal of Educational Computing Research, 2016
Mobile learning (m-Learning) is considered to be one of the fastest growing learning platforms. The immense interest in m-Learning is attributed to the incredible rate of growth of mobile technology and its proliferation into every aspect of modern life. Despite this, m-Learning has not experienced a similar adoption rate in the education sector,…
Descriptors: Electronic Learning, Higher Education, College Administration, Administrators
Liu, I-Fan; Chen, Ruey-Shin; Lu, Hao-Chun – Educational Technology & Society, 2015
With the rapid development of the Internet and information technology, the issues related to online exams have become the concern of an increasing number of researchers. At present, the biggest challenges for the integration of web communication technology into online exams are the ability to detect cheating behaviors during the exam, and the…
Descriptors: Foreign Countries, Computer Assisted Testing, Cheating, Identification

Peer reviewed
Direct link
