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Showing 1 to 15 of 16 results Save | Export
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Liu Liu – Education and Information Technologies, 2025
The study examines the impact of artificial intelligence (AI)-enhanced gamification on learning outcomes and motivation in English as a Foreign Language (EFL) contexts. A mixed-methods approach and quasi-experimental design were employed to compare the effectiveness of three instructional strategies: adaptive learning paths, conversational agents,…
Descriptors: Technology Uses in Education, Artificial Intelligence, Gamification, Second Language Learning
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Joko Slamet; Yazid Basthomi; Francisca Maria Ivone; Evi Eliyanah – Journal of Information Technology Education: Research, 2024
Aim/Purpose: This research explores the design and development of a gamified Massive Open Online Course (MOOC) aligned with the Self-Directed Learning (SDL) approach. The focus is addressing challenges to foster autonomous learning within the MOOC context. Background: MOOCs have emerged as a prominent platform for global education; however, they…
Descriptors: Gamification, MOOCs, Personal Autonomy, Learning Processes
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Peter Crosthwaite; Fanny Meunier – The EUROCALL Review, 2025
This reflection on practice study explores the critical role of constructive alignment (CA) in the successful implementation of corpus-based data-driven learning (DDL) in secondary education, focusing on two interventions conducted at an Australian secondary school. While DDL offers potential for enhancing language learning through corpus…
Descriptors: Foreign Countries, Secondary Education, Data Use, Learning Processes
Nicole L. Weber; Kristen Gay – Online Learning Consortium, 2024
As the higher education landscape undergoes rapid transformation, educators continue to seek best practices for creating quality digital, blended, and online learning experiences. However, disparate definitions of quality and differing instructor and student preferences complicate this work. This report addresses the pressing need to bridge the…
Descriptors: Higher Education, Educational Change, Student Attitudes, In Person Learning
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Rosar, Michaela; Weidlich, Joshua – Research and Practice in Technology Enhanced Learning, 2022
Creativity is an increasingly recognized construct in technology-enhanced learning. However, our understanding of how creativity interacts with the design of online learning environments to affect learning experiences is still limited. For example, do creative students benefit from different learning environment designs than those benefitting…
Descriptors: Online Courses, Creativity, Independent Study, Personality Traits
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Sithole, Seedwell T. M.; Abeysekera, Indra – Journal of International Education in Business, 2021
Purpose: This study aims to examine the instructional preferences exhibited by students in an Australian and a Zimbabwean setting and how cultural conditioning can reflect in the instructional design choice and the effect on the learning process. Design/methodology/approach: Using graphical and textual presentations of an experiment with three…
Descriptors: Accounting, College Freshmen, Preferences, Instructional Design
Battle, Erica Lanise – ProQuest LLC, 2019
With the innovation of the internet, the learner is able to access his or her online classroom anytime, and anywhere based on the customized online learning environment by instructional designers. Creating online learning environments, also known as instructional design, can be challenging. This research focused on how instructional designers…
Descriptors: Online Courses, Instructional Design, Case Studies, Models
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Wang, Hsiu-Feng; Shiu, Shin-Lan – International Association for Development of the Information Society, 2022
This study employed a single factor experiment to investigate how different voices from a social robot affect the learning outcomes and motivation of 46 children. The learning motivation for the participants was measured using the ARCS questionnaire, which tested for four subcategories: attention, relevance, confidence, and satisfaction. The…
Descriptors: Robotics, Outcomes of Education, Learning Processes, Student Motivation
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Zhang, Ruofei; Zou, Di; Xie, Haoran – Computer Assisted Language Learning, 2022
Spaced repetition has been widely implemented and examined in mobile-assisted word learning as an important learning strategy. However, the nature of spaced repetition by commercial word-learning apps and the factors leading to the favoured mobile-assisted spaced repetition have yet to be investigated in authentic contexts. In this study, we coded…
Descriptors: Computer Assisted Instruction, Teaching Methods, English (Second Language), Second Language Learning
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Baukal, Charles E.; Ausburn, Lynna J. – European Journal of Engineering Education, 2017
Continuing engineering education (CEE) is important to ensure engineers maintain proficiency over the life of their careers. However, relatively few studies have examined designing effective training for working engineers. Research has indicated that both learner instructional preferences and prior knowledge can impact the learning process, but it…
Descriptors: Engineering Education, Cognitive Style, Learning Processes, Preferences
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Kuo, Ying-Ying; Luo, Juan; Brielmaier, Jennifer – AERA Online Paper Repository, 2016
This study investigated student learning behaviors in a fully online psychology course in which students controlled their own course content usage. Data collection included students' real usage of the Blackboard course site over three semesters in 2014 and 2015, as well as a course survey at the end of each semester. Data mining techniques, such…
Descriptors: Student Behavior, Learning Processes, Online Courses, Learner Controlled Instruction
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Shahnaz, Sherina Mohamed Fauzi; Hussain, Raja Maznah Raja – Malaysian Journal of Learning and Instruction, 2016
Purpose: This paper proposes a framework of instructional strategies that would facilitate active and reflective learning processes in the flipped classroom It is aimed at allowing one's maximum potential to be reached regardless of any individual learning style. As tertiary classrooms increasingly needs to be as active and social as possible, the…
Descriptors: Instructional Design, Active Learning, Reflection, Learning Processes
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Solvie, Pamela; Sungur, Engin – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2012
This study, using mixed methods design research, examined the achievement of third level preservice teachers when advice in the form of text and resources was provided based on students' identified learning styles. In this study, Kolb's learning style inventory was used to identify students' preferred learning style preferences, and an online…
Descriptors: Preservice Teacher Education, Preservice Teachers, Cognitive Style, Learning Processes
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Nguyen, Dat-Dao; Zhang, Yue – Contemporary Issues in Education Research, 2011
This study investigates to what extent student attitudes toward acceptance of online instruction and Distance Learning are affected by determinants such as demographics, learning environment, learning domains, delivery methods, and web-based instructional technology. Logistic Regression and Discriminant Analysis use statistically significant…
Descriptors: Student Attitudes, Online Courses, Distance Education, Web Based Instruction
Jahangiri, Leila; Mucciolo, Tom – Rowman & Littlefield Publishers, Inc., 2011
"A Guide to Better Teaching" is a self-help book that provides anyone teaching a college course with a thorough understanding of what it takes to be an effective teacher. Derived from the authors' extensive research, several interactive assessment tools are included that measure levels of effectiveness according to learner preferences. Each…
Descriptors: Teaching Skills, Student Evaluation, Guides, College Faculty
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