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Showing 1 to 15 of 22 results Save | Export
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Irina Braun; Nicole Graulich – Chemistry Education Research and Practice, 2024
Resonance is a crucial concept in Organic Chemistry that enables both deriving chemical properties from molecular structures and predicting reactions by considering electron density distribution. Despite its importance for problem-solving and learning success, learners encounter various difficulties with this concept. Although prior research…
Descriptors: Foreign Countries, Chemistry, Organic Chemistry, Scientific Concepts
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Laura Dörrenbächer-Ulrich; Jörn R. Sparfeldt; Franziska Perels – Metacognition and Learning, 2024
Self-regulated learning (SRL) encompasses cognitive, metacognitive, and motivational learning strategies and is highly relevant for academic achievement. Although students have mostly acquired high-level SRL strategy knowledge by the time they reach college, they often show deficiencies in their application of SRL strategies. In order to…
Descriptors: Metacognition, Learning Strategies, College Students, Test Validity
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Ruben Schlag; Karsten Stegmann; Maximilian Sailer – European Educational Researcher, 2024
The flipped classroom approach has increasingly been implemented in higher education and has shown promise for enhancing learning processes across many domains. In this instructional method, learners use certain learning materials to prepare for in-class lessons focusing on a deeper understanding and application of knowledge. Feedback and peer…
Descriptors: Flipped Classroom, Peer Relationship, Interaction, Feedback (Response)
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Marcus Pietsch; Dana-Kristin Mah – Educational Technology Research and Development, 2025
Rapid developments in artificial intelligence (AI) require dynamic adaptation in education to integrate new technologies timely and sustainably. In particular, the rise of generative AI requires leadership to implement it in a meaningful way for teaching and learning. School leaders have a special role to play in driving digital transformation.…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Teaching Methods
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Felicia Meusel; Nadine Scheller; Günter Daniel Rey; Sascha Schneider – Education and Information Technologies, 2024
Color has been investigated as a signaling cue in multimedia learning environments, guiding the learner's attention and as an emotional design element, increasing the learner's motivation and, thus, improving learning outcomes. Retrieval cues (e.g., visual cues, odor, sound) facilitating memory retrieval have been primarily investigated in…
Descriptors: Foreign Countries, Color, Student Motivation, Cues
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Tabea Augner; Carsten C. Schermuly; Franziska Jungmann – Journal of Workplace Learning, 2024
Purpose: Today's unpredictable and fast-changing work environment challenges researchers and organizations to rethink learning. In contrast to traditional learning designs, new learning frameworks such as agile learning are more learner centered, integrated into the workplace and socially shaped. The purpose of this study is to examine Working Out…
Descriptors: Learning Processes, Learning Strategies, Workplace Learning, Personal Autonomy
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Markus H. Hefter; Kirsten Berthold – Interactive Learning Environments, 2024
Numerous effective digital learning environments have evolved over the last few years built around video examples that follow an introduction phase and are often supplemented by prompts. The learning mechanisms behind these components remain subject to open questions, though. We thus conducted an online experiment with university students (N =…
Descriptors: Electronic Learning, Video Technology, Cues, College Students
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Anna Hawrot; Lena Nusser – Scandinavian Journal of Educational Research, 2025
This study investigated whether various aspects of the home learning environment -- that is, learning-related processes, parental perceptions of their child, and structural characteristics -- predicted private tutoring attendance in Grade 8. We used the data of 7393 students from the German National Educational Panel Study. Seventeen percent of…
Descriptors: Family Environment, Educational Environment, Tutoring, Private Education
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Gülfem Gürses; Aysenur I?nceelli – Turkish Online Journal of Educational Technology - TOJET, 2024
ICAP is a framework that classifies learning processes based on students' explicit behaviors. The framework is developed for testing the hypothesis that interactive exercises are better than constructive exercises, and active exercises are better than the passive exercises for higher cognitive engagement and better learning outcomes. The ICAP…
Descriptors: Learning Processes, Learning Theories, Classification, Active Learning
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Dominik Diermann; Jenna Koenen – Journal of Chemical Education, 2024
Most chemistry students struggle with interpreting and understanding NMR (nuclear magnetic resonance) spectra and the general concepts of NMR spectroscopy. NMR spectroscopy seems to be difficult to both teach and learn. Therefore, the corresponding courses should be investigated in more detail. We conducted a survey with N = 39 German university…
Descriptors: Chemistry, Science Instruction, Spectroscopy, Nuclear Energy
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Aleksandra Stalmach; Paola D'Elia; Sergio Di Sano; Gino Casale – Open Education Studies, 2024
This study investigates 14 digitally enhanced learning methods, shedding light on students with special educational needs (SEN) in inclusive digital learning environments. We seek to fill the gap in the literature by specifically investigating methods suitable for students with SEN. A survey among experts has been carried out to assess learning…
Descriptors: Inclusion, Learning Processes, Special Needs Students, Educational Technology
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Annkathrin Wenzel; Eva Blumberg – Science Education International, 2024
Children and young people grow up with a wide range of media, which they are expected to use in different settings. One possibility is the use of digital media in out-of-school learning places, which is currently being expanded. However, there has been little research into the combination of the two fields to date. This study was designed to…
Descriptors: Preservice Teachers, Science Education, Student Attitudes, Electronic Learning
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Christian G. K. Hahn; Henrik Saalbach; Clemens Brunner; Roland H. Grabner – Frontline Learning Research, 2025
Within the research on bilingual learning, first studies have revealed that content learned in one language is retrieved more slowly when participants have to switch language from instruction to testing (i.e., language-switching costs, LSC). These costs are attributed to language-dependent knowledge representations. However, the cognitive…
Descriptors: Code Switching (Language), Learning, Arithmetic, Mathematics Education
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Arnon Hershkovitz; Norbert Noster; Hans-Stefan Siller; Michal Tabach – ZDM: Mathematics Education, 2024
Learning Analytics is concerned with the use of data collected in educational settings to support learning processes. We take a Learning Analytics approach to study the use of immediate feedback in digital classification tasks in mathematics. Feedback serves as an opportunity for learning, however its mere existence does not guarantee its use and…
Descriptors: Learning Analytics, Classification, Geometry, Mathematics Instruction
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Philipp Bitzenbauer; Sergej Faletic; Marisa Michelini; Kristóf Tóth; Gesche Pospiech – Physical Review Physics Education Research, 2024
The teaching and learning of quantum physics has recently become a topic of increasing interest in physics education research. In particular, the study of two-state systems is gaining importance as a means of teaching quantum physics at various educational levels. Meanwhile, a number of approaches have been developed that are also suitable for…
Descriptors: Physics, Science Instruction, Measurement Techniques, Teaching Methods
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