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Liyin Zhang; Mian Wu; Fan Ouyang – Education and Information Technologies, 2024
The data-intensive research paradigm calls for using educational and learning data to generate actionable insights and improve the instruction and learning quality. Although previous research designed and employed teaching analytics or learning analytics tools, few research had incorporated multiple data sources to assess the overall teaching and…
Descriptors: In Person Learning, Small Classes, Foreign Countries, Learning Analytics
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Susanne Prediger; Kirstin Erath; Kim Quabeck; Rebekka Stahnke – International Journal of Science and Mathematics Education, 2024
Instructional quality dimensions of cognitive demands and instructional support have been shown to have an impact on students' learning gains. Existing operationalizations of these dimensions have mostly used comprehensive ratings that combine various subdimensions of task quality and interaction quality. The current study disentangles interaction…
Descriptors: Interaction, Instructional Effectiveness, Cognitive Processes, Difficulty Level
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Deepti Prit Kaur; Archana Mantri – Education and Information Technologies, 2024
Student perception is an essential component in education; especially in engineering courses, which involve complex spatial processes, manipulation and interpretation of graphs, diagrams, and concepts. Incorporation of special training instructions improve spatial skills of learners, assisting them to acquire enhanced conceptual knowledge. Through…
Descriptors: Computer Simulation, Interaction, Visual Aids, Engineering Education
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Ömer Demir; Bengi Birgili – Education and Information Technologies, 2024
The use of instructional videos is rampant in education; however, their interaction is limited by weak instructional design. Gagne has never insisted on using his renowned 9 Events of Instruction slavishly in situations as a viable paradigm for utilization in video design. Connecting grade level, video length, and interaction, this study seeks to…
Descriptors: Instructional Design, Instructional Program Divisions, Video Technology, Mathematics Instruction
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Simon C. Cork; Emma Yhnell – Discover Education, 2024
The educational benefit of the traditional didactic lecture to learners in Higher Education is hotly debated. Given increasing student numbers, existing technical set ups and many logistical concerns, lectures remain the norm in many Higher Education Institutions (HEIs). In this personal view piece, we discuss the benefits, opportunities, and…
Descriptors: Visual Aids, Teaching Methods, Higher Education, Lecture Method
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Ahmad Samed Al-Adwan; Mutaz M. Al-Debei – Education and Information Technologies, 2024
The interest in metaverse technology has risen notably in higher education learning contexts. Due to the global spread of the Covid-19 pandemic, higher education institutions are now increasingly emphasising online interactive learning. Higher education institutions are currently investigating the potential of metaverse technology to enhance…
Descriptors: Technology Uses in Education, Computer Simulation, Electronic Learning, Interaction
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Abebayehu Yohannes; Hsiu-Ling Chen – Education and Information Technologies, 2024
Flipped learning has attracted increasing attention in all grade levels in recent years and becomes an alternative to the traditional model. Even though there is a large body of research on flipped classrooms, they usually ignore the learning theories that were used to construct the curriculum and instead concentrate on the degree to which using…
Descriptors: Flipped Classroom, Mathematics Education, Engineering Education, Conventional Instruction
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Vicki Stieha; Brittnee Earl; Harrisen Hagens; Meagan Haynes; Amy Ulappa; Laura Bond; Julia Thom Oxford – Advances in Physiology Education, 2024
Much of the research on science, technology, engineering, and mathematics (STEM) students' motivation measures the relationship between student motivation and academic outcomes, focusing on the student's mindset. Our mixed-methods research takes a different approach and considers the relationship between student motivation and instructional…
Descriptors: Active Learning, Student Motivation, STEM Education, Undergraduate Students
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Yuan-Chen Liu; Tzu-Hua Huang; Chien-Chia Huang – Interactive Learning Environments, 2024
In this study, an interactive programming learning environment was built with two types of error prompt functions: 1) the key prompt and 2) step-by-step prompt. A quasi-experimental study was conducted for five weeks, in which 75 sixth grade students from disadvantaged learning environments in Taipei, Taiwan, were divided into three groups: 1) the…
Descriptors: Programming, Computer Science Education, Cues, Grade 6
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Seyedahmad Rahimi; Russell Almond; Andrea Ramírez-Salgado; Christine Wusylko; Lauren Weisberg; Yukyeong Song; Jie Lu; Ted Myers; Bowen Wang; Xiaomaon Wang; Marc Francois; Jennifer Moses; Eric Wright – Journal of Computer Assisted Learning, 2024
Background: Stealth assessment is a learning analytics method, which leverages the collection and analysis of learners' interaction data to make real-time inferences about their learning. Employed in digital learning environments, stealth assessment helps researchers, educators, and teachers evaluate learners' competencies and customize the…
Descriptors: Competence, Models, Research Methodology, Research Design
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Yulia Afanasyeva; Margarita Bratkova; Diana Galoyan; Svetlana Rzanova; Lucia Bombieri – Education and Information Technologies, 2024
The study aims to identify whether interactive touchscreen images affect children's well-being and motivation in the context of inclusive education. It involved 22 students of the inclusive school. The students were in their 1st grade. The average age of the schoolchildren was 7 years. The survey method was the tool that assessed the significance…
Descriptors: Technology Uses in Education, Handheld Devices, Interaction, Well Being
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Lena O. Magnusson; Annika Elm – Early Childhood Education Journal, 2024
The study presented in this article shows some aspects of how children between the ages of three and five and their educators perceive and describe the educational environment in early childhood education in Sweden. The data is generated using "pedagogical walk-throughs" with the educators and "camera tours" together with the…
Descriptors: Foreign Countries, Preschool Children, Preschool Teachers, Preschools
Emmanuel Paul – ProQuest LLC, 2024
Academicians, administrators, and policymakers in New Orleans have pointed toward a disproportionate academic and life-cycle outcome where Black American males are particularly disadvantaged as compared to White students. An often-cited cause of these disproportionate outcomes for Black male students is inequality and mistreatment in schools.…
Descriptors: Student Experience, African American Students, Males, Teacher Student Relationship
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Viola Merhof; Caroline M. Böhm; Thorsten Meiser – Educational and Psychological Measurement, 2024
Item response tree (IRTree) models are a flexible framework to control self-reported trait measurements for response styles. To this end, IRTree models decompose the responses to rating items into sub-decisions, which are assumed to be made on the basis of either the trait being measured or a response style, whereby the effects of such person…
Descriptors: Item Response Theory, Test Interpretation, Test Reliability, Test Validity
Dorothy Margaret Rabourn – ProQuest LLC, 2024
University leaders will find the results of this study significant as they develop educational programs that attract students and help them achieve their academic goals. The problem is that no known studies exist that examine instructor-student interactions and customer satisfaction from the perspective of the doctoral student using a qualitative,…
Descriptors: Doctoral Students, Student Experience, Online Courses, Teacher Student Relationship
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