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Murphy, Michelle Pauley; Hung, Woei – TechTrends: Linking Research and Practice to Improve Learning, 2023
One hundred years ago, Paul Weiss and Ludwig von Bertalanffy independently proposed that living organisms interact with their environment through systems. In the century that has followed, systems thinking and modeling have grown in tandem with discovery of the vast complexity of the universe at microscopic through astronomic levels. As our…
Descriptors: Systems Approach, Cognitive Processes, Artificial Intelligence, Learning Processes
Wang, Bo; Ginns, Paul; Mockler, Nicole – Educational Psychology Review, 2022
Cognitive load theory's incorporation of evolutionary perspectives has generated several instructional designs based on movement, including the tracing effect, occurring when learners benefit from explicit instructions to trace out specific elements of lesson materials with the index finger. Historical descriptions of children's tracing behaviours…
Descriptors: Cognitive Processes, Difficulty Level, Imagination, Prior Learning
Jiyou Jia; Tianrui Wang; Yuyue Zhang; Guangdi Wang – Asia Pacific Journal of Education, 2024
In designing an intelligent tutoring system, a core area of the application of AI in education, tips from the system or virtual tutors are crucial in helping students solve difficult questions in disciplines like mathematics. Traditionally, the manual design of general tips by teachers is time-consuming and error-prone. Generative AI, like…
Descriptors: Problem Solving, Artificial Intelligence, Learning Processes, Prompting
van Harsel, Milou; Hoogerheide, Vincent; Verkoeijen, Peter; van Gog, Tamara – Journal of Computer Assisted Learning, 2022
Nowadays, students often practice problem-solving skills in online learning environments with the help of examples and problems. This requires them to self-regulate their learning. It is questionable how novices self-regulate their learning from examples and problems and whether they need support. The present study investigated the open questions:…
Descriptors: Sequential Learning, Independent Study, Problem Solving, Electronic Learning
Larrain, Antonia; Grau, Valeska; Barrera, María José; Freire, Paulina; López, Patricia; Verdugo, Sebastián; Gómez, Marisol; Ramírez, Francisca; Sánchez, Gabriel – Journal of the Learning Sciences, 2022
Empirical evidence demonstrates the effect of productive failure (Kapur, 2008) on disciplinary knowledge. However, there is no clear theoretical explanation for why this is the case. Empirical evidence on argumentation and education shows the impact of curricular embedded deliberative argumentation on learning. However, these two trends of…
Descriptors: Peer Teaching, Cooperative Learning, Persuasive Discourse, Learning Processes
Swidan, Osama; Cusi, Annalisa; Robutti, Ornella; Arzarello, Ferdinando – For the Learning of Mathematics, 2023
This paper introduces a model built upon the Method of Varying Inquiry, offering a didactical approach to problem posing and solving activities that stimulates inquiry-based learning in mathematics classrooms. The model combines the inquiry-based framework with the variation theory and with specific didactical and theoretical elements (the…
Descriptors: Teaching Methods, Mathematics Instruction, Inquiry, Active Learning
Ginns, Paul; Muscat, Katherine; Naylor, Ryan – Educational and Developmental Psychologist, 2023
Objective: When students learn or solve problems, attentional resources are depleted; rest breaks may restore cognitive functioning in support of learning. Research framed by attention restoration theory holds that exposure to natural environments may be another means to restore attentional resources. The study investigated the effects of…
Descriptors: Intervals, Attention, Learning Processes, Problem Solving
Hahn, L.; Klein, P. – Physical Review Physics Education Research, 2022
Eye tracking is becoming increasingly popular in physics education research (PER). As technology has advanced considerably in recent years and has become more user friendly, it is anticipated that eye tracking will play an increasingly significant role in assessing student learning at the process level in future studies. The main objective of this…
Descriptors: Eye Movements, Physics, Science Education, Educational Research
Yang, Qi-Fan; Lian, Li-Wen; Zhao, Jia-Hua – International Journal of Educational Technology in Higher Education, 2023
According to previous studies, traditional laboratory safety courses are delivered in a classroom setting where the instructor teaches and the students listen and read the course materials passively. The course content is also uninspiring and dull. Additionally, the teaching period is spread out, which adds to the instructor's workload. As a…
Descriptors: Undergraduate Students, Gamification, Artificial Intelligence, Robotics
Raz Harel; Shai Olsher; Michal Yerushalmy – Research in Mathematics Education, 2024
Conjectures are a key component of mathematical inquiry, a process in which the students raise conjectures, refute or dismiss some of them, and formulate additional ones. Taking a design-based research approach, we formulated a design principle for personal feedback in supporting the iterative process of conjecturing. We empirically explored the…
Descriptors: Mathematics Instruction, Teaching Methods, Feedback (Response), Thinking Skills
Jasien, Lara; Horn, Ilana – Journal for Research in Mathematics Education, 2022
We build on mathematicians' descriptions of their work and conceptualize mathematics as an aesthetic endeavor. Invoking the anthropological meaning of practice, we claim that mathematical aesthetic practices shape meanings of and appreciation (or distaste) for particular manifestations of mathematics. To see learners' spontaneous mathematical…
Descriptors: Aesthetics, Mathematics Instruction, Play, Teaching Methods
van Harsel, Milou; Hoogerheide, Vincent; Janssen, Eva; Verkoeijen, Peter; van Gog, Tamara – Instructional Science: An International Journal of the Learning Sciences, 2022
Presenting novices with examples and problems is an effective and efficient way to acquire new problem-solving skills. Nowadays, examples and problems are increasingly presented in computer-based learning environments, in which learners often have to self-regulate their learning (i.e., choose what type of task to work on and when). Yet, it is…
Descriptors: Video Technology, Metacognition, Problem Based Learning, Problem Solving
Liu, Min; Li, Chenglu; Pan, Zilong; Pan, Xin – Interactive Learning Environments, 2023
More research is needed on how to best use analytics to support educational decisions and design effective learning environments. This study was to explore and mine the data captured by a digital educational game designed for middle school science to understand learners' behavioral patterns in using the game, and to use evidence-based findings to…
Descriptors: Computer Games, Educational Games, Instructional Design, Instructional Effectiveness
Vogel, Freydis; Kollar, Ingo; Fischer, Frank; Reiss, Kristina; Ufer, Stefan – International Journal of Computer-Supported Collaborative Learning, 2022
Collaboration scripts and heuristic worked examples have been described as powerful scaffolds to support skill acquisition in CSCL. While CSCL scripts particularly facilitate argumentative discourse within groups, heuristic worked examples provide heuristics and worked out pathways to solve domain-specific tasks. Yet, both scripts and heuristic…
Descriptors: Mathematics Instruction, Computer Assisted Instruction, Teaching Methods, Comparative Analysis
Lambert, Rachel – Mathematics Teacher: Learning and Teaching PK-12, 2021
Universal Design for Learning (UDL) is an approach to pedagogy, curriculum, and assessment grounded in the learning sciences and neuroscience. In this article, the author proposes a mathematical version of UDL called UDL Math. She describes three classrooms that include students with disabilities in meaningful mathematics and explores how the…
Descriptors: Mathematics Education, Access to Education, Students with Disabilities, Inclusion