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Kristi M. Bockorny; Theresa M. Giannavola; Shalini Mathew; Hannah D. Walters – Active Learning in Higher Education, 2024
In order to navigate enrollment challenges, universities are scheduling more online and blended courses including HyFlex courses which offer students flexibility in their method of attendance. The goal of this study is to explore student engagement in HyFlex courses. However, there is limited research supporting the effectiveness of HyFlex courses…
Descriptors: College Students, In Person Learning, Blended Learning, Asynchronous Communication
Rahma, Rezka Arina; Sucipto; Affriyenni, Yessi; Widyaswari, Monica – World Journal on Educational Technology: Current Issues, 2021
This research was aimed to test the effectiveness of cmaterials in improving the learning of the students. The development method used in this research is the ADDIE (Analysis, Design, Development or Production, Implementation or Delivery, and Evaluation) model. The subjects in this developmental research are the lecturers of the educational…
Descriptors: Educational Technology, Technology Uses in Education, Educational Benefits, Cognitive Style
Elkhatat, Ahmed M.; Al-Muhtaseb, Shaheen A. – Chemical Engineering Education, 2022
A Computer-Aided Learning Package as Inquiry-Guided Learning (CALP/IGL) was implemented in a cooling tower experiment for 43 students enrolled in four sections of the Unit Operations Laboratory course in the chemical engineering program at Qatar University. The impact of this approach on the attainment of learning outcomes was evaluated. Results…
Descriptors: Inquiry, Active Learning, Engineering Education, Computer Assisted Instruction
Alshammari, Mohammad T.; Qtaish, Amjad – Journal of Information Technology Education: Research, 2019
Aim/Purpose: Effective e-learning systems need to incorporate student characteristics such as learning style and knowledge level in order to provide a more personalized and adaptive learning experience. However, there is a need to investigate how and when to provide adaptivity based on student characteristics, and more importantly, to evaluate its…
Descriptors: Electronic Learning, Cognitive Style, Knowledge Level, Individualized Instruction
Aguilar, J.; Buendia, O.; Pinto, A.; Gutiérrez, J. – Interactive Learning Environments, 2022
Social Learning Analytics (SLA) seeks to obtain hidden information in large amounts of data, usually of an educational nature. SLA focuses mainly on the analysis of social networks (Social Network Analysis, SNA) and the Web, to discover patterns of interaction and behavior of educational social actors. This paper incorporates the SLA in a smart…
Descriptors: Learning Analytics, Cognitive Style, Socialization, Social Networks
White, Garry – Journal of Information Technology Education: Research, 2020
Aim/Purpose: The purpose of this study is to determine the effectiveness of an Adaptive Learning Technology (ALT), as compared to traditional teaching methods, in an undergraduate management information course. The effectiveness is based on Bloom's Taxonomy of Learning Competencies. Background: Previous studies have investigated factors involved…
Descriptors: Assistive Technology, Educational Technology, Computer Assisted Instruction, Instructional Effectiveness
Çakiroglu, Ünal; Güler, Mustafa; Atabay, Melek; Güler, Maside – Journal of Educational Technology Systems, 2020
This article reports on the influence of three modalities used in three versions of instructional software designed for different learning styles. Students having visual, auditory, and kinesthetic learning styles are grouped and experimentally investigated through three different versions of the software. The results indicated that cognitive load…
Descriptors: Cognitive Style, Cognitive Processes, Difficulty Level, Multimedia Instruction
Rivers, Damian J. – Journal of Educational Computing Research, 2021
Computer-mediated learning initiatives have recently increased due to the novel coronavirus pandemic. Implications are thus created for self-regulation, learning and achievement as computer-mediated learners face unique motivational and metacognitive demands. The current research uses a serial mediation approach to test the effect of goal…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, English (Second Language)
Lin, Yen-Yu – Taiwan Journal of TESOL, 2023
This study examined the effectiveness of guided data-driven learning (DDL) activities on helping technological university students with a lower-intermediate proficiency level to learn grammar and vocabulary topics for the TOEIC test. The question of whether inductive learners make more progress than deductive learners was also addressed. A total…
Descriptors: Grammar, Teaching Methods, Second Language Learning, English (Second Language)
Zabolotskikh, Alexander; Zabolotskikh, Anna; Dugina, Tatiana; Tavberidze, Daria – Education and Information Technologies, 2021
Undergraduate students fail to objectively self-assess grammar skills of English as a second language but mastering English grammar autonomously can assist. The article aims to describe and assess the Moodle plugin that offers undergraduate students individual learning paths in studying English grammar. An experiment with 3953 students was…
Descriptors: Undergraduate Students, Grammar, Second Language Learning, Second Language Instruction
Li, Kuo-Chen; Chang, Maiga; Wu, Kuan-Hsing – Education Sciences, 2020
This research involved the design of a task-based dialogue system and evaluation of its learning effectiveness. Dialogue training still heavily depends on human communication with instant feedback or correction. However, it is not possible to provide a personal tutor for every English learner. With the rapid development of information technology,…
Descriptors: Task Analysis, Teaching Methods, Second Language Learning, Second Language Instruction
Kolekar, Sucheta V.; Pai, Radhika M.; M. M., Manohara Pai – Education and Information Technologies, 2019
The term Adaptive E-learning System (AES) refers to the set of techniques and approaches that are combined together to offer online courses to the learners with the aim of providing customized resources and interfaces. Most of these systems focus on adaptive contents which are generated to the learners without considering the learning styles of…
Descriptors: Computer Interfaces, Computer Assisted Instruction, Electronic Learning, Online Courses
Ellis, Robert A.; Bliuc, Ana-Marie – Active Learning in Higher Education, 2019
As online learning technologies are becoming an integral part of the learning experience at university, the quality of student learning is increasingly shaped by their experience of using these new artefacts. In many cases, the research frameworks investigating the contribution of online learning technologies to quality outcomes are yet to have…
Descriptors: Online Courses, Learning Experience, Educational Quality, Cognitive Style
Chang, You-Hsuan – Computer Assisted Language Learning, 2020
In foreign language learning, computer-mediated dictionaries are among the most popular tools, and ambiguity tolerance (AT) is a key impact factor. However, few studies have focused on the effects of AT on computer-mediated dictionary-assisted English learning. To fill this gap, the current study explored the differences between two groups (a high…
Descriptors: Ambiguity (Semantics), Dictionaries, Second Language Learning, Second Language Instruction
Seifert, Tami – Journal of Educators Online, 2019
To respond to needs arising from the field and institutional constrictions, various video-integrated teaching methods were offered to students in multiparticipant courses. Two hundred ninety-five students studying in two Sociology of Education courses agreed to participate in the research. One hundred sixty-two students participated in Course 1,…
Descriptors: Educational Sociology, Video Technology, Teaching Methods, College Students