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Heitzman, Nicole; Seidel, Tina; Opitz, Ansgar; Hetmanek, Andreas; Wecker, Christof; Fischer, Martin; Ufer, Stefan; Schmidmaier, Ralf; Neuhaus, Birgit; Siebeck, Matthias; Stürmer, Kathleen; Obersteiner, Andreas; Reiss, Kristina; Girwidz, Raimund; Fischer, Frank – Frontline Learning Research, 2019
We propose a conceptual framework which may guide research on fostering diagnostic competences in simulations in higher education. We first review and link research perspectives on the components and the development of diagnostic competences, taken from medical and teacher education. Applying conceptual knowledge in diagnostic activities is…
Descriptors: Medical Education, Teacher Education, Competency Based Education, Simulation
Lawanto, Oenardi; Minichiello, Angela; Uziak, Jacek; Febrian, Andreas – International Education Studies, 2018
Understanding problems or tasks is a critical step in any problem-solving activity and the heart of self-regulated learning. When encountering a problem, students draw upon information available in the environment, along with knowledge, concepts, and perceptions derived from prior learning experiences, to interpret the demands of the task.…
Descriptors: Engineering Education, Problem Solving, Thermodynamics, Task Analysis
Michael Madaio; Kun Peng; Amy Ogan; Justine Cassell – Grantee Submission, 2018
Prior work has found benefits of interpersonal closeness, or rapport, on student learning, but has primarily investigated its impact on learning outcomes, not learning processes. Moreover, such work often analyzes the direct impact of dyadic features like rapport on learning, without considering the role played by individual factors, such as…
Descriptors: High School Students, Peer Teaching, Tutoring, Academic Support Services
Chitpin, Stephanie – International Journal of Educational Management, 2017
Purpose: The purpose of this paper is to illustrate how associationism mistakenly assumes that direct experience is possible; that is, there is expectation-free observation and association without prior expectation. Thus, associationism assumes that learning involves the absorption of information from the environment itself. However, contrary…
Descriptors: Abstract Reasoning, Associative Learning, Association (Psychology), Philosophy
Austerweil, Joseph L.; Griffiths, Thomas L.; Palmer, Stephen E. – Cognitive Science, 2017
How does the visual system recognize images of a novel object after a single observation despite possible variations in the viewpoint of that object relative to the observer? One possibility is comparing the image with a prototype for invariance over a relevant transformation set (e.g., translations and dilations). However, invariance over…
Descriptors: Prior Learning, Inferences, Visual Acuity, Recognition (Psychology)
Große, Cornelia S. – European Journal of Science and Mathematics Education, 2017
In recent years, the ability to use mathematics flexibly in everyday situations is increasingly accentuated, and mathematics education gives more and more attention to problems with realistic contexts. However, it is reported very often that learners have substantial difficulties in connecting mathematics to real situations. In order to solve…
Descriptors: Mathematics Instruction, Multiple Choice Tests, Word Problems (Mathematics), Problem Solving
Phye, Gary D. – AERA Online Paper Repository, 2017
Within the context of complex cognitive processing and educational interventions, Woolfolk (2016) makes reference to problem solving acquisition, problem solving retention, and problem solving transfer. In each of the aforementioned types of problem solving activities, problem identification and problem representation (reflecting procedural…
Descriptors: Semantics, Problem Solving, Retention (Psychology), Cognitive Ability
Chen, Xingliang; Mitrovic, Antonija; Mathews, Moffat – International Journal of Artificial Intelligence in Education, 2019
Agency refers to the level of control the student has over learning. Most studies on agency in computer-based learning environments have been conducted in the context of educational games and multimedia learning, while there is little research done in the context of learning with Intelligent Tutoring Systems (ITSs). We conducted a study in the…
Descriptors: Problem Solving, Intelligent Tutoring Systems, Educational Games, Independent Study
Liu, Zhongxiu; Zhi, Rui; Hicks, Andrew; Barnes, Tiffany – Computer Science Education, 2017
Debugging is an over-looked component in K-12 computational thinking education. Few K-12 programming environments are designed to teach debugging, and most debugging research were conducted on college-aged students. In this paper, we presented debugging exercises to 6th-8th grade students and analyzed their problem solving behaviors in a…
Descriptors: Problem Solving, Middle School Students, Student Behavior, Programming
Sezgin Memnun, Dilek; Aydin, Bünyamin; Özbilen, Ömer; Erdogan, Günes – Educational Sciences: Theory and Practice, 2017
The RBC+C abstraction model is an effective model in mathematics education because it gives the opportunity to analyze research data through cognitive actions. For this reason, we aim to examine the abstraction process of the limit knowledge of two volunteer participant students using the RBC+C abstraction model. With this aim, the students'…
Descriptors: Abstract Reasoning, Models, Mathematics Education, Recognition (Psychology)
Panorkou, Nicole; Maloney, Alan P. – Teaching Children Mathematics, 2016
In a classroom teaching experiment, we explored fifth graders' ability to identify relationships in and between two patterns--what we may refer to as functional relationships. Conventional functions curricula are dominated by defining relationships between two patterns via a rule, describing how to find y or f(x) given a particular value for x…
Descriptors: Mathematics Instruction, Teaching Methods, Grade 5, Elementary School Mathematics
Mihalca, Loredana; Mengelkamp, Christoph; Schnotz, Wolfgang – Metacognition and Learning, 2017
A possible explanation for why students do not benefit from learner-controlled instruction is that they are not able to accurately monitor their own performance. The purpose of this study was to investigate whether and how the accuracy of metacognitive judgments made during training moderates the effect of learner control on performance when…
Descriptors: Metacognition, Accuracy, Learner Controlled Instruction, Problem Solving
Williams-Candek, Maryellen – Mathematics Teaching in the Middle School, 2016
How better to begin the study of linear equations in an algebra class than to determine what students already know about the subject? A seventh-grade algebra class in a suburban school undertook a project early in the school year that was completed before they began studying linear relations and functions. The project, which might have been…
Descriptors: Mathematics Instruction, Teaching Methods, Algebra, Grade 7
Walkington, Candace; Bernacki, Matthew L. – Journal of Experimental Education, 2018
Instruction can be made relevant to students when it draws upon and utilizes their interests, experiences, and "funds of knowledge" in productive ways to support classroom learning. This approach has been referred to as "context personalization." In this paper, we discuss the cognitive basis of personalization interventions,…
Descriptors: Individualized Instruction, Instructional Design, Relevance (Education), Cognitive Processes
Shilo, Gila; Ragonis, Noa – Journal of Further and Higher Education, 2019
A central issue in the design of curricula for all school levels is the development of the learners' high-order thinking skills and metacognitive skills. Among such required skills is the ability to solve problems. The literature dealing with the development of problem-solving skills is vast and primarily addresses the scientific disciplines, even…
Descriptors: Thinking Skills, Metacognition, Problem Solving, Linguistics

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