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Fu, Qian; Zheng, Yafeng; Zhang, Mengyao; Zheng, Lanqin; Zhou, Junyi; Xie, Bochao – Educational Technology Research and Development, 2023
Providing appropriate feedback is important when learning to program. However, it is still unclear how different feedback strategies affect learning outcomes in programming. This study designed four different two-step programming feedback strategies and explored their impact on novice programmers' academic achievement, learning motivations, and…
Descriptors: Feedback (Response), Academic Achievement, Novices, Programming
Zheng, Xudong; Ma, Yunfei; Yue, Tingyan; Yang, Xianmin – Educational Technology Research and Development, 2023
The purpose of this study was to investigate the effects of different types of cues and self-explanation prompts in instructional videos on intrinsic motivation, learning engagement, learning outcomes, and cognitive load, which were indicators to measure deep learning performance. Seventy-two college students were randomly assigned to one of the…
Descriptors: Cues, Reflection, Prompting, Video Technology
Qiufang Zheng – Educational Technology Research and Development, 2025
In the context of process-oriented writing instruction, the significance of engaging students in draft revision is widely acknowledged (McGarrell and Verbeem, ELT Journal 61:228-236, 2007). Nevertheless, L2 learners often exhibit limited motivation for writing, leading to inadequate revision efforts. This quasi-experimental study investigates the…
Descriptors: Technology Uses in Education, Computer Assisted Instruction, Writing Instruction, Writing Evaluation
Lee, Yen-Fen; Hwang, Gwo-Jen; Chen, Pei-Ying – Educational Technology Research and Development, 2022
Review strategies after learning new knowledge are essential for students to consolidate the key points, understand the subject content, analyze aspects of the learning topics, and summarize the knowledge content of learning while mastering new knowledge. However, educators have found that students generally have difficulties seeking help when…
Descriptors: College Students, Control Groups, Foreign Countries, Artificial Intelligence
Valle, Natercia; Antonenko, Pavlo; Valle, Denis; Sommer, Max; Huggins-Manley, Anne Corinne; Dawson, Kara; Kim, Dongho; Baiser, Benjamin – Educational Technology Research and Development, 2021
Based on the achievement goal theory, this experimental study explored the influence of predictive and descriptive learning analytics dashboards on graduate students' motivation and statistics anxiety in an online graduate-level statistics course. Participants were randomly assigned into one of three groups: (1) predictive dashboard; (2)…
Descriptors: Online Courses, Graduate Students, Statistics Education, Anxiety
Zhu, Yue; Zhang, Jia Hua; Au, Wing; Yates, Greg – Educational Technology Research and Development, 2020
Studies have been conducted on university students' continuous intention to learn online from the perspectives of learning motivation and capability, perceptions or attitudes, and online learning experiences. However, few have examined how the above factors will relate to each other and contribute to students' online learning intention. This…
Descriptors: College Students, Student Attitudes, Online Courses, Blended Learning
Broadbent, Jaclyn; Fuller-Tyszkiewicz, Matthew – Educational Technology Research and Development, 2018
This study examines a person-centered approach to self-regulated learning among 606 University students (140 online, and 466 in blended learning mode). Latent profile analysis revealed five distinct profiles of self-regulated learning: minimal regulators, restrained regulators, calm self-reliant capable regulators, anxious capable collaborators,…
Descriptors: Metacognition, Blended Learning, Online Courses, Profiles
Makransky, Guido; Mayer, Richard; Nøremølle, Anne; Cordoba, Ainara Lopez; Wandall, Jakob; Bonde, Mads – Educational Technology Research and Development, 2020
There is great potential in making assessment and learning complementary. In this study, we investigated the feasibility of developing a desktop virtual reality (VR) laboratory simulation on the topic of genetics, with integrated assessment using multiple choice questions based on item response theory (IRT) and feedback based on the cognitive…
Descriptors: Student Evaluation, Feedback (Response), Computer Simulation, Computer Uses in Education
Lee, Eunbae; Hannafin, Michael J. – Educational Technology Research and Development, 2016
Student-centered learning (SCL) identifies students as the owners of their learning. While SCL is increasingly discussed in K-12 and higher education, researchers and practitioners lack current and comprehensive framework to design, develop, and implement SCL. We examine the implications of theory and research-based evidence to inform those who…
Descriptors: Student Centered Learning, Learner Engagement, Elementary Secondary Education, Higher Education
Lin, Hao-Chiang Koong; Chao, Ching-Ju; Huang, Tsu-Ching – Educational Technology Research and Development, 2015
According to Krashen's affective filter hypothesis, students who are highly motivated have their self-consciousness. When they enter a learning context with a low level of anxiety, they are much more likely to become successful language acquirers than those who do not. Affective factors such as motivation, attitude, and anxiety, have a direct…
Descriptors: Anxiety, Tutoring, Second Language Learning, College Students
McNaught, Carmel; Lam, Paul; Cheng, Kin Fai – Educational Technology Research and Development, 2012
This article reports a study of eLearning in 21 courses in Hong Kong universities that had a blended design of face-to-face classes combined with online learning. The main focus of the study was to examine possible relationships between features of online learning designs and student learning outcomes. Data-collection strategies included expert…
Descriptors: Foreign Countries, Electronic Learning, Blended Learning, Internet
Renninger, K. Ann; Cai, Ming; Lewis, Mark C.; Adams, Margot M.; Ernst, Katherine L. – Educational Technology Research and Development, 2011
As hypermedia, online teacher professional development (TPD) should ideally support diverse learners to work with online content effectively because it involves multiple representations and a nonlinear format. Differences among participants in motivation and learning provide challenges for design. The present study is a use-inspired, mixed-method…
Descriptors: Self Efficacy, Student Motivation, Hypermedia, Profiles