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Shard; Devesh Kumar; Sapna Koul – International Journal of Information and Learning Technology, 2024
Purpose: This study aims to gain insights into how students perceive online examination practices and evaluation, as well as identify the key factors that impact their intentions toward online exams. Design/methodology/approach: This empirical study conducted in India utilized an online survey method between May 24 and June 14, 2022. The data were…
Descriptors: Foreign Countries, Undergraduate Students, Graduate Students, Student Attitudes
Ali Rezaei – Journal of Interactive Learning Research, 2024
Educational tools like EdPuzzle, PlayPosit, and Kaltura have gained recent attention, as they purportedly empower educators to incorporate questions, quizzes, and discussions into instructional videos. However, there is no empirical evidence on how or under what circumstances these platforms may impact students' learning. A quasi-experimental…
Descriptors: College Students, Interactive Video, Student Attitudes, College Faculty
Sharmin Söderström – International Journal of Mathematical Education in Science and Technology, 2024
This study focuses on computer-based formative assessment for supporting problem solving and reasoning in mathematics. To be able to assist students who find themselves in difficulties, the software suggested descriptions - diagnoses - of the encountered difficulty the students could choose from. Thereafter, the software provided metacognitive and…
Descriptors: Computer Assisted Testing, Formative Evaluation, Mathematics Instruction, Problem Solving
Husmann, Polly R.; Smith, Theodore C. – College Teaching, 2022
Previous research has shown the value of retrieval practice and metacognitive awareness for student success. The present research evaluated the use of online question modules, in relationship to examination and final course grades, to encourage the development of these skills in undergraduate anatomy. The results demonstrated trends in both…
Descriptors: Metacognition, Study Habits, Learning Strategies, Computer Assisted Testing
Carol Rentas; Ramapoza O'Dwyer; Rohini Ganjoo; Marcia A. Firmani; Cliff Cymrot; Yousif Barzani; Lisa S. Schwartz – International Journal of Distance Education Technologies, 2025
This study explored the relationships between English language proficiency and performance in online, asynchronous science courses. Each participant completed a Language Background Questionnaire (LBQ) to indicate if English was not their native language, thus categorizing them as an English Language Learner (ELL). The Combined English Language…
Descriptors: English Learners, Electronic Learning, Asynchronous Communication, Computer Assisted Testing
Schrempft, S.; Piumatti, G.; Gerbase, M. W.; Baroffio, A. – Advances in Health Sciences Education, 2021
This study examined conscientiousness and the perceived educational environment as independent and interactive predictors of medical students' performance within Biggs' theoretical model of learning. Conscientiousness, the perceived educational environment, and learning approaches were assessed at the beginning of the third year in 268 medical…
Descriptors: Undergraduate Students, Medical Students, Educational Environment, Predictor Variables
Zhongzhou Chen; Tom Zhang; Michelle Taub – Journal of Learning Analytics, 2024
The current study measures the extent to which students' self-regulated learning tactics and learning outcomes change as the result of a deliberate, data-driven improvement in the learning design of mastery-based online learning modules. In the original design, students were required to attempt the assessment once before being allowed to access…
Descriptors: Learning Analytics, Algorithms, Instructional Materials, Course Content
Josh Freeman – Higher Education Policy Institute, 2025
Building on our 2024 AI Survey, we surveyed 1,041 full-time undergraduate students through Savanta about their use of generative artificial intelligence (GenAI) tools. In 2025, we find that the student use of AI has surged in the last year, with almost all students (92%) now using AI in some form, up from 66% in 2024, and some 88% having used…
Descriptors: Student Surveys, Student Attitudes, Cheating, Artificial Intelligence
Berková, Andrea Jahodová – Journal on Efficiency and Responsibility in Education and Science, 2017
Computer-aided assessment systems are increasingly used in education for both formative and summative assessment. Example of such a system from the area of mathematics education is the platform Maple T. A. (Testing and Assessment), which was developed specially for assessment in mathematics. The paper is focused on the efficiency of the use of the…
Descriptors: Computer Assisted Testing, Mathematics Instruction, Learning Strategies, Foreign Countries
Wan, Kelvin; King, Vivian; Chan, Kevin – Electronic Journal of e-Learning, 2021
Game-Based Learning (GBL) has been recognized as an essential tool for motivating students to engage in active and constructive learning. While there is a link between GBL and learning outcomes, current research evidence tends to undermine the interrelationships of concepts and oversimplify flow experience in the context of GBL. This study adopted…
Descriptors: Metacognition, Game Based Learning, Student Motivation, Correlation
Karim Sadeghi; Neda Bakhshi – International Journal of Language Testing, 2025
Assessing language skills in an integrative form has drawn the attention of assessment experts in recent years. While some research data exists on integrative listening/reading-to-write assessment, there is comparatively little research literature on listening-to-speak integrated assessment. Also, little attention has been devoted to the role of…
Descriptors: Language Tests, Second Language Learning, English (Second Language), Computer Assisted Testing
Shohel, M. Mahruf C., Ed. – IntechOpen, 2022
E-learning and digital education approaches are evolving and changing the landscape of teaching and learning at all levels of education throughout the world. Innovation of emerging learning technologies is assisting e-learning and digital education to meet the needs of the 21st century. Due to the digital transformation of everyday practice, the…
Descriptors: Electronic Learning, 21st Century Skills, Instructional Design, Foreign Countries
Cook, Paul – Journal of Management Education, 2022
Improving perceptions of graduate utility is fundamental to Higher Education's employability and skills agenda. However, utility enhancement is a ubiquitous consequence of all learning. Therefore, motivating students to engage in deep learning to improve their utility is problematic. Using the student voice, in this article, I explain how prompts…
Descriptors: Learning Processes, Management Development, Time Perspective, Disadvantaged
Ee, Mong Shan; Yeoh, William; Boo, Yee Ling; Boulter, Terry – Studies in Higher Education, 2018
Time control plays a critical role within the online mastery learning (OML) approach. This paper examines the two commonly implemented mastery learning strategies--personalised system of instructions and learning for mastery (LFM)--by focusing on what occurs when there is an instructional time constraint. Using a large data set from a postgraduate…
Descriptors: Foreign Countries, Graduate Students, Time Management, Electronic Learning
Nugent, Gwen; Guru, Ashu; Namuth-Covert, Deana M. – Interdisciplinary Journal of e-Skills and Lifelong Learning, 2018
Aim/Purpose: This study examines differences in credit and noncredit users' learning and usage of the Plant Sciences E-Library (PASSEL, http://passel.unl.edu), a large international, open-source multidisciplinary learning object repository. Background: Advances in online education are helping educators to meet the needs of formal academic credit…
Descriptors: Academic Libraries, Electronic Libraries, Research Libraries, Electronic Learning