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Trezek, Beverly; Mayer, Connie – Education Sciences, 2019
Over the years, persistently low achievement levels have led scholars to question whether reading skill development is different for deaf readers. Research findings suggest that in order for deaf students to become proficient readers, they must master the same fundamental abilities that are well established for hearing learners, regardless of the…
Descriptors: Deafness, Reading Skills, Hearing (Physiology), Learning Processes
Yoon, Susan A.; Goh, Sao-Ee; Yang, Zhitong – Complicity: An International Journal of Complexity and Education, 2019
Recent research on what students know about complex systems shows that they typically have challenges in understanding particular system ideas such as nonlinearity, complex causality, and decentralized control. Yet this research has yet to adopt a systematic approach to learning about complex systems in an ordered way in line with the Next…
Descriptors: Item Response Theory, Models, Middle School Students, High School Students
Kersey, Alyssa J.; Emberson, Lauren L. – Developmental Science, 2017
Although infants begin learning about their environment before they are born, little is known about how the infant brain changes during learning. Here, we take the initial steps in documenting how the neural responses in the brain change as infants learn to associate audio and visual stimuli. Using functional near-infrared spectroscopy (fNRIS) to…
Descriptors: Infants, Child Development, Spectroscopy, Brain Hemisphere Functions
Alhasan, Khawla; Chen, Liming; Chen, Feng – International Association for Development of the Information Society, 2017
Various learners with various requirements have led to the raise of a crucial concern in the area of e-learning. A new technology for propagating learning to learners worldwide, has led to an evolution in the e-learning industry that takes into account all the requirements of the learning process. In spite of the wide growing, the e-learning…
Descriptors: Semantics, Models, Cognitive Style, Electronic Learning
Adams, Nan B. – International Association for Development of the Information Society, 2017
Society's relationship to knowledge and what is considered to be factual is changing. Effective teaching models focused on leveraging strategic control of the knowledge from teachers to learners in virtual learning environments are critical to insuring a positive path is charted. The Knowledge Development Model serves as the guide for determining…
Descriptors: Computer Simulation, Teaching Methods, Learning Processes, Learning Theories
The Effect of TPS and PBL Learning Models to the Analytical Ability of Students in Biology Classroom
Ramdiah, Siti; Mayasari, Ria; Husamah; Fauzi, Ahmad – Asia-Pacific Forum on Science Learning and Teaching, 2018
Analytical thinking is the competency needed by students in order to compete and achieve success in the professional field for the 21st Century. Research that aims to examine the most optimal learning model in empowering students' analytical thinking needs to be done since many students have low ordered thinking skills. Through this…
Descriptors: Foreign Countries, Thinking Skills, Critical Thinking, Problem Solving
Wang, Shiyu; Zhang, Susu; Douglas, Jeff; Culpepper, Steven – Measurement: Interdisciplinary Research and Perspectives, 2018
Analyzing students' growth remains an important topic in educational research. Most recently, Diagnostic Classification Models (DCMs) have been used to track skill acquisition in a longitudinal fashion, with the purpose to provide an estimate of students' learning trajectories in terms of the change of fine-grained skills overtime. Response time…
Descriptors: Reaction Time, Markov Processes, Computer Assisted Instruction, Spatial Ability
Mbatchou, Guy Merlin; Bouchet, François; Carron, Thibault; Pernelle, Philippe – International Association for Development of the Information Society, 2018
To improve the learning process, the evolution of learner's characteristics (cognitive, affective, prior knowledge, workflow, organization, ...) must be taken into account during the personalization or adaptation. This requires generating several scenarios (a description of activities, their order and links in the learning sequence as well as the…
Descriptors: Learning Processes, Vignettes, Teaching Methods, Learning Activities
Blanch, Angel – Instructional Science: An International Journal of the Learning Sciences, 2015
The fluid and crystallized ("Gf-Gc") intelligence theory has been used extensively to evaluate the influence of cognitive abilities on educational outcomes within cross-sectional and longitudinal research designs. This study evaluated the contribution of fluid and crystallized abilities in the performance of a 1-week instructional…
Descriptors: Cognitive Ability, Intelligence, Learning Processes, Models
Blumenstein, Marion – Journal of Learning Analytics, 2020
The field of learning analytics (LA) has seen a gradual shift from purely data-driven approaches to more holistic views of improving student learning outcomes through data-informed learning design (LD). Despite the growing potential of LA in higher education (HE), the benefits are not yet convincing to the practitioner, in particular aspects of…
Descriptors: Learning Analytics, Instructional Design, Effect Size, Higher Education
Vojinovic, Oliver; Simic, Vladimir; Milentijevic, Ivan; Ciric, Vladimir – IEEE Transactions on Education, 2020
Contribution: A model of tiered in-lab, compulsory lab programming sessions suitable for use in flipped learning environments. This article also addresses the scarcity of research that explores the effects of in-class activity organization. Background: When facing a subject they perceive as dry or difficult, some students may feel discouraged from…
Descriptors: Assignments, Teaching Methods, Flipped Classroom, Class Activities
Steven Moore; John Stamper; Norman Bier; Mary Jean Blink – Grantee Submission, 2020
In this paper we show how we can utilize human-guided machine learning techniques coupled with a learning science practitioner interface (DataShop) to identify potential improvements to existing educational technology. Specifically, we provide an interface for the classification of underlying Knowledge Components (KCs) to better model student…
Descriptors: Learning Analytics, Educational Improvement, Classification, Learning Processes
Mountain, Karen; Teviotdale, Wilma; Duxbury, Jonathan; Oldroyd, Jenny – Accounting Education, 2023
Our study aims to investigate whether engaging students with formative assessment and feedback activities could support students' self-regulation, improve performance and improve satisfaction with assessment. The intervention designs are implemented using a novel framework, developed for staff reflection, derived from a self-regulation learning…
Descriptors: Accounting, Undergraduate Students, Metacognition, Formative Evaluation
Lubiano, Michael Leonard D.; Magpantay, Marife S. – International Journal of Research in Education and Science, 2021
This study enhanced the 7E instructional model towards enriching the science inquiry skills of senior high school learners in General Chemistry 1. A total of 136 Grade 12 learners enrolled in the Science, Technology, Engineering, and Mathematics (STEM) strand participated in the study. The study was composed of three phases. In Phase I, the…
Descriptors: Science Instruction, Teaching Methods, Inquiry, High School Students
Abdullateef, Shifan Thaha; Muhammedzein, Fatima – Arab World English Journal, 2021
Although some assessment modes have proved successful, many learning problems encountered by low achieving learners need to be fixed by a more procedurally adequate remedial classroom assessment. Many EFL instructors adopt conventional and static modes of assessment rather than flexible and humanistic assessment modes. Hence, the study aims at…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Student Evaluation

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