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Cheng-Wen He; Logan Fiorella; Paula P. Lemons – Educational Psychology Review, 2025
This study tested competing theories about the effectiveness of different instructional sequences for learners with different levels of prior knowledge. Across two classroom experiments, undergraduates learned about noncovalent interactions in biochemistry by either receiving explicit instruction before problem-solving (I-PS group) or engaging in…
Descriptors: Instructional Effectiveness, Problem Solving, Prior Learning, Learning Processes
Ghudkam, Supachai; Chatwattana, Pinanta; Piriyasurawong, Pallop – Higher Education Studies, 2023
An imagineering learning model using advance organizers with the internet of things was developed to promote creative innovation for learners in the 21st century. It is an innovation initiated by integrating classroom learning and technology that connects with the internet of things. The objectives of this research were (1) to study and synthesize…
Descriptors: Advance Organizers, Models, Imagination, Problem Solving
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
Lili Yan; Chungsoo Na; Jina Kang – Journal of Science Education and Technology, 2024
Collaborative problem-solving (CPS) includes multiple socio-cognitive processes that can be challenging to investigate. Constructing arguments is a key practice at the intersection of CPS and science learning. To understand how students construct arguments and develop science knowledge during CPS, we focus on team synchrony--the extent of…
Descriptors: Persuasive Discourse, Cooperative Learning, Problem Solving, Science Education
van der Graaf, Joep; Lim, Lyn; Fan, Yizhou; Kilgour, Jonathan; Moore, Johanna; Gaševic, Dragan; Bannert, Maria; Molenaar, Inge – Metacognition and Learning, 2022
Self-regulated learning (SRL) has been linked to improved learning and corresponding learning outcomes. However, there is a need for more precise insights into how SRL during learning contributes to specific learning outcomes. We operationalised four learning outcomes that varied on two dimensions: structure/connectedness and level/deepness of…
Descriptors: College Students, Self Control, Learning Processes, Independent Study
Brady, Corey E.; Borromeo Ferri, Rita; Lesh, Richard A. – Investigations in Mathematics Learning, 2022
Mathematical modeling is a challenging and creative process. If one considers only interim or final solutions to modeling problems or interviews modelers afterward, often only their "explicit" models are accessible -- those expressed in work products or evinced in verbal and written reflections. The inner world of tacit knowledge and its…
Descriptors: Mathematics Instruction, Teaching Methods, Mathematical Models, Case Studies
Hartmann, Christian; Rummel, Nikol; Bannert, Maria – Journal of Learning Analytics, 2022
This paper presents a fine-grained process analysis of 22 students in a classroom-based learning setting. The students engaged (and failed) in problem-solving attempts prior to instruction (i.e., the Productive-Failure approach). We used the HeuristicsMiner algorithm to analyze the data of a quasi-experimental study. The applied algorithm allowed…
Descriptors: Heuristics, Problem Solving, Computer Software, Comparative Analysis
Horiguchi, Tomoya; Masuda, Tetsuhiro; Tomoto, Takahito; Hirashima, Tsukasa – Research and Practice in Technology Enhanced Learning, 2019
In science education, building models of dynamical systems is a promising method for understanding various natural phenomena and artifacts with scientific concepts. It is, however, difficult to learn skills and concepts necessary for modeling. Though several model-building learning environments (MBEs) have been developed with potentially useful…
Descriptors: Science Education, Learning Processes, Scientific Concepts, Systems Approach
Yanjun Pan; Elizabeth L. Adams; Leanne R. Ketterlin-Geller; Eric C. Larson; Corey Clark – Educational Technology Research and Development, 2024
Computational thinking is acknowledged as an essential competency for everyone to learn. However, teachers find it challenging to implement the existing learning approaches in K-12 settings because the existing approaches often focus on teaching computing concepts and skills (i.e., programming skills) rather than on helping students develop their…
Descriptors: Middle School Students, Game Based Learning, Mathematics Education, Computation
Wakhata, Robert; Balimuttajjo, Sudi; Mutarutinya, Védaste – Mathematics Teaching Research Journal, 2023
The present study explored 285 11th-grade students' preconceptions, misconceptions, and errors in solving mathematics tasks by graphical method. A descriptive-explorative study design was adopted. Cluster sampling was used to select students from sampled secondary schools in eastern and central Uganda. Students' paper and pen solution sketches…
Descriptors: Foreign Countries, Secondary School Mathematics, High School Students, Grade 11
Sidney, Pooja G.; Thompson, Clarissa A. – Grantee Submission, 2019
Analogies between old and new concepts are common during classroom instruction. Previous transfer studies focused on how features of initial learning guide later, spontaneous transfer to new problem solving. We argue for a shift in the focus of analogical-transfer research toward understanding how to best support analogical transfer from previous…
Descriptors: Thinking Skills, Figurative Language, Teaching Methods, Transfer of Training
Bintoro, Henry Suryo; Sukestiyarno, Y. L.; Mulyono; Walid – European Journal of Educational Research, 2021
Spatial thinking has roles to facilitate learners to remember, understand, reason, and communicate objects and the connections among objects that are represented in space. This research aims to analyze the spatial thinking process of students in constructing new knowledge seen from the field-independent cognitive style learners based on…
Descriptors: Foreign Countries, Spatial Ability, Thinking Skills, Cognitive Processes
Ding, Lu; Cooper, Katelyn M.; Stephens, Michelle D.; Chi, Michelene T. H.; Brownell, Sara E. – Australasian Journal of Educational Technology, 2021
In laboratory study environments, dialogue-videos, or videos of a tutor and a tutee solving problems together, have been shown to more effectively improve student learning than monologue-videos, or videos of tutors solving problems alone. Yet, few studies have replicated these findings in the context of authentic university classrooms. Here, we…
Descriptors: Video Technology, Problem Solving, Undergraduate Students, Biology
Chen, Ouhao; Retnowati, Endah; Kalyuga, Slava – British Journal of Educational Psychology, 2020
Background: The worked example effect in cognitive load theory suggests that providing worked examples first followed by solving similar problems would facilitate students' learning. Using problem solving-worked example sequence is another way of implementing example-based instruction. Although research has demonstrated the superiority of worked…
Descriptors: Problem Solving, Cognitive Ability, Learning Processes, Teaching Methods
Richter, Juliane; Lachner, Andreas; Jacob, Leonie; Bilgenroth, Friederike; Scheiter, Katharina – Journal of Computer Assisted Learning, 2022
Background: Engaging students in computer-assisted guided inquiry learning has great potential to scaffold their scientific understanding: Students are expected to improve their scientific problem-solving skills, and at the same time gain a deep conceptual understanding of the subject-matter. Additional generative activities such as creating video…
Descriptors: Self Concept, Problem Solving, Video Technology, Computer Assisted Instruction