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Xiaoman Wang; Matthew Schmidt; Albert Ritzhaupt; Jie Lu; Rui Tammy Huang; Minyoung Lee – Educational Technology Research and Development, 2024
The purpose of this study was to explore the competencies of those professionals working in the nascent area of Learning Experience Design (LXD). Following systematic procedures and inspiration from our conceptual framework of LXD that emphasizes knowledge, skill, and ability statements (KSA), we collected and coded N = 388 unique LXD job…
Descriptors: Learning Experience, Occupational Information, Job Analysis, Factor Analysis
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Zakyeh Akrami; Vahid Amani; Jamal Bavardi – Journal of Science Education and Technology, 2025
Mobile learning (M-Learning) allows chemistry students to access educational resources anytime, anywhere, aiding in problem-solving and critical thinking skills. However, it is necessary to identify the components and objectives of M-Learning that have specific usage in chemistry education. Despite the global focus on e-learning, there is…
Descriptors: Electronic Learning, Science Education, Chemistry, Educational Objectives
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Gerçek, Merve; Elmas-Atay, Sevgi; Yilmaz, Dilek – Journal of Career Development, 2023
Undergraduate students' learning experiences are thought to have a significant impact on their future career choices. The Engineering Learning Experience Scale (ELES) was created within the framework of Social Cognitive Career Theory to accurately evaluate learning experiences arising from direct or indirect learning activities in or out of…
Descriptors: Engineering Education, Learning Experience, Test Construction, Test Validity
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Keskin, Sinan; Yurdugül, Halil – Journal of Educational Technology and Online Learning, 2022
This study aims to examine e-learning experiences of the learners by using learner system interaction metrics. In this context, an e-learning environment has been structured within the scope of a course. Learners interacted with learning activities and leave various traces when they interact with others, contents, and assessment tasks. Log data…
Descriptors: Electronic Learning, Learning Experience, Models, Learning Activities
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Junjian Liang; Zaibo Long – SAGE Open, 2024
Students' perceived teacher support (SPTS) is considered crucial to students' learning. But most existing SPTS scales were developed for the field of general education, and there is a lack of studies that attempt to develop a tailored scale specifically for the context of EFL learning. This study interviewed 86 Chinese college EFL learners and…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Foreign Countries
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Campbell, Todd; Lee, Hyunju; Longhurst, Max; McKenna, Thomas J.; Coster, Daniel; Lundgren, Lisa – School Science and Mathematics, 2021
In the United States and internationally, there has been an increased emphasis on the practice turn or a focus on engaging students in more authentic representations of how science is practiced. In this article, we describe the development of a student questionnaire to investigate the extent to which students report being engaged in learning…
Descriptors: Science Education, Student Experience, Questionnaires, Test Construction
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Wan, Zhi Hong; So, Wing Mui Winnie; Zhan, Ying – Research in Science Education, 2022
This study developed and validated a scale of STEM project-based learning (PBL) experience, which comprises four dimensions: scientific inquiry, technological application, engineering design, and mathematical processing. The participants were 727 primary higher graders. Both within-network and between-network approaches were adopted to analyze the…
Descriptors: Test Construction, Test Validity, Measures (Individuals), STEM Education
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Bhagat, Kaushal Kumar; Cheng, Chia-Hui; Koneru, Indira; Fook, Fong Soon; Chang, Chun-Yen – Interactive Learning Environments, 2023
The aim of this study was to develop a scale to measure students' blended learning course experience. A total of 792 undergraduate students from Malaysia participated in this study. Exploratory factor analysis (EFA) was employed to evaluate the factor structure of the scale. As a result of EFA, three factors with 19 items that explained 68.06% of…
Descriptors: Blended Learning, Evaluation Methods, Course Evaluation, Student Attitudes
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Monica Khanna; Isaac Jacob; Anjali Chopra – Journal of Marketing for Higher Education, 2024
The higher education sector faces challenges in attracting students due to increasing competition, disruptive forces of online education, social media and employment orientation of education. A differentiating factor can be created by focusing on student-teacher relationships by creating positive learning experiences inside the classroom. The…
Descriptors: Marketing, College Choice, Institutional Characteristics, Caring
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Patsawut Sukserm – Shanlax International Journal of Education, 2024
Understanding latent variables is essential in EFL research. This article examines key latent variables, such as linguistic competence, cognitive ability and socio-cultural factors. These variables play a crucial role in shaping EFL learning experiences and outcomes. Researchers can use methods such as exploratory factor analysis (EFA),…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Sociocultural Patterns
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Zainuddin, Zamzami; Alba, Amru; Gunawan, Taufik; Armanda, Dicky; Zahara, Ana – Interactive Technology and Smart Education, 2023
Purpose: This study aims to construct a scale and identify the factors that might affect the implementation of gamification and Bloom's Digital Taxonomy-based assessment of students' learning, guided by the Goal-Setting Theory. Design/Methodology/Approach: This study used a sequential exploratory mixed-methods design where data were collected…
Descriptors: Gamification, Taxonomy, Electronic Learning, Test Construction
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Ching-Hsuan Wu; Sergio Robles-Puente; Amy S. Thompson – Studies in Second Language Learning and Teaching, 2024
The impetus of this study is to investigate students' attitudes towards online language learning based on their previous academic experiences and year of study, including the decision to major or minor (i.e., motivation). A total of 975 students completed a survey questionnaire consisting of background information, Likert scale items, and…
Descriptors: Online Courses, Second Language Learning, Second Language Instruction, Language Teachers
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Tsai, Meng-Jung; Liang, Jyh-Chong; Hsu, Chung-Yuan – Journal of Educational Computing Research, 2021
Computational thinking has received tremendous attention from computer science educators and educational researchers in the last decade. However, most prior literature defines computational thinking as thinking outcomes rather than thinking processes. Based on Selby and Woodland's framework, this study developed and validated the Computational…
Descriptors: Computation, Thinking Skills, Skill Development, Technological Literacy
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Bahtaji, Michael Allan A. – Journal of Baltic Science Education, 2021
5E instructional model is commonly utilized in science teaching to promote conceptual learning. However, the benefit of 5E instructional model cannot be fully attained if the knowledge and skills essential to learning were not properly established from past. Similarly, the development of new concepts cannot be fully attained if the important…
Descriptors: Physics, Science Instruction, Models, Mathematics Instruction
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York, James; Shibata, Koichi; Tokutake, Hayato; Nakayama, Hiroshi – ReCALL, 2021
Studies on computer-mediated communication often compare the affective affordances of different technologies with face-to-face communication. This study aimed to understand how three different computer-mediated communication modalities may affect EFL learners' foreign language anxiety (FLA). Using a counterbalanced 3 by 3 factorial design, 30…
Descriptors: Anxiety, Second Language Learning, Second Language Instruction, English (Second Language)
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