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Senad Becirovic – Education and Information Technologies, 2024
This study aims to determine the factors influencing the efficient and successful use of LMS among university-level students. A multiperspective approach was performed using TAM3 and ISS framework to achieve the aforementioned aim. The survey was administered to 371 university students. Structural equation modeling (SEM) has been conducted to test…
Descriptors: College Students, Learning Management Systems, Accuracy, User Satisfaction (Information)
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Wang, Yang – Technology, Knowledge and Learning, 2023
Learning affective state is determinate to online learning. Different affective states are associated with different online learning behaviors. Given the behavioral indicators of different affective states are still to be explored, this study constructed a data-driven online learning affective state detector by analyzing the learning log data of…
Descriptors: Electronic Learning, Affective Behavior, Learning Management Systems, Measures (Individuals)
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Powers, F. Eamonn; Moore, Robert L. – TechTrends: Linking Research and Practice to Improve Learning, 2023
Collaboration and teamwork are concepts routinely attributed to organizational success and successful change management. Yet often the details of these collaborative experiences are limited to participants in the team involved. In this case study we highlight how a learning experience architect, as part of an organizational working group, could…
Descriptors: Learning Management Systems, Educational Change, Change Strategies, Performance Technology
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Oda, Fernanda S.; LeComte, Robert S.; Reed, Derek D. – Analysis of Verbal Behavior, 2023
The use of autoclitics can influence the behavior of individuals making choices when responding to a survey (e.g., checking or unchecking a box). In two studies, we investigated the effects of autoclitics as "nudges" on choice by manipulating different frames (opt-in and opt-out) and default options (i.e., unchecked and checked boxes).…
Descriptors: Verbal Operant Conditioning, Prompting, Decision Making, Undergraduate Students
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Jiangyu Zhu; Zhengfei Yang; Yongqi Yin; Weiming Fang – Biochemistry and Molecular Biology Education, 2025
The rapid growth of online education has created opportunities to integrate multimedia learning tools into complex scientific disciplines like food biotechnology. This study aimed to develop and evaluate supplementary online course modules on gene expression analysis, protein engineering tools, and fermentation genomics for undergraduate food…
Descriptors: Multimedia Instruction, Biotechnology, Food, Curriculum Development
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Yifat Davidoff; Wurud Jayusi – Education and Information Technologies, 2025
Higher Education has serious challenges regarding academic online teaching-learning-evaluation methods and tools. This study examined 980 students from diverse disciplines about their social-emotional-psychological (SEP) perceptions. We also examined the presence and desirability of 14 TLE (teaching-learning-evaluation) tools in the online…
Descriptors: Instructional Effectiveness, Electronic Learning, Learning Strategies, Student Attitudes
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Saksri Suebsing; Nithinath Udomsun; Supimon Boonphok – Journal of Education and Learning, 2025
The purpose of this research is to develop the learning management model of early childhood teachers in Roi Et Province. The sample group includes early childhood teachers is obtained by selecting a simple random sample of the sample 400 people. The tools used in the research include questionnaires assessment form and learning quizzes for Primary…
Descriptors: Early Childhood Teachers, Teacher Attitudes, Instructional Effectiveness, Models
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Julianna Lopez Kershen; Brianne Johnson – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2025
This conceptual article makes the argument that the fields of English language arts and composition studies require a more robustly elaborated theoretical perspective on the identity development of preservice teachers as teachers of writing due to the rapid proliferation of AI-assisted technologies in learning spaces. Thus, the authors utilized…
Descriptors: Writing Teachers, Artificial Intelligence, Theories, Technology Uses in Education
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Gisu Sanem Öztas; Gökhan Akçapinar – Educational Technology & Society, 2025
This study aimed to develop a prediction model to classify students based on their academic procrastination tendencies, which were measured and classified as low and high using a self-report tool developed based on the students' assignment submission behaviours logged in the learning management system's database. The students' temporal learning…
Descriptors: Time Management, Student Behavior, Online Courses, Learning Management Systems
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Yang Tian; Tak Jie Chan; Sharifah Sofiah Syed Zainudin; Farhana Muslim Mohd Jalis – Journal of Educators Online, 2025
This study aims to identify the mediating effect of collaborative learning on the relationship between Learning Management System (LMS) usage and academic performance among undergraduate students in a public university through the constructivism theory. The study employed a purposive sampling survey method, and 381 valid respondents were…
Descriptors: Learning Management Systems, Cooperative Learning, Academic Achievement, Undergraduate Students
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Lucas Paulsen; Euan Lindsay – Education and Information Technologies, 2024
This systematic review explores the emerging themes in the design and implementation of student-facing learning analytics dashboards in higher education. Learning Analytics has long been criticised for focusing too much on the analytics, and not enough on the learning. The review is then guided by an interest in whether these dashboards are still…
Descriptors: Learning Analytics, Educational Technology, Learning Processes, College Students
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Kaliisa, Rogers; Jivet, Ioana; Prinsloo, Paul – International Journal of Educational Technology in Higher Education, 2023
Higher education institutions are moving to design and implement teacher-facing learning analytics (LA) dashboards with the hope that instructors can extract deep insights about student learning and make informed decisions to improve their teaching. While much attention has been paid to developing teacher-facing dashboards, less is known about how…
Descriptors: Learning Analytics, Planning, Design, Evaluation
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Kontorovich, Igor'; Locke, Kim – Digital Experiences in Mathematics Education, 2023
Learning-support system is an umbrella term that we use for digital resources that assign students with mathematical questions and give automatic feedback on the inserted answers. Transitioning between questions and feedback is characteristic to students' work with such systems. We apply the commognitive framework to explore the role of…
Descriptors: Mathematics Skills, Calculus, Cooperative Learning, Learning Management Systems
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Gerardo Quiroz Vieyra; Luis Fernando Muñoz González – European Journal of Education (EJED), 2023
Learning Management Systems (LMS) or Learning Content Management Systems (LCMS) are the core of e-learning platforms and have evolved according to the development of new information and communication technologies. In this type of software there are many products on the market, some developed by the institutions themselves (in-house), others are…
Descriptors: Online Systems, Electronic Learning, Learning Management Systems, Artificial Intelligence
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Trgalová, Jana; Tabach, Michal – Digital Experiences in Mathematics Education, 2023
The slow uptake of technology by mathematics teachers is in contrast with the rapid growth in the availability of different digital resources specifically designed to help teaching and learning mathematics. We refer to platforms that were designed to permit for mathematical communication between multiple users. We seek to explore the affordances…
Descriptors: Affordances, Electronic Learning, Mathematics Instruction, Learning Management Systems
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