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Il Do Ha – Measurement: Interdisciplinary Research and Perspectives, 2024
Recently, deep learning has become a pervasive tool in prediction problems for structured and/or unstructured big data in various areas including science and engineering. In particular, deep neural network models (i.e. a basic core model of deep learning) can be viewed as an extension of statistical models by going through the incorporation of…
Descriptors: Artificial Intelligence, Statistical Analysis, Models, Algorithms
Dvir, Michal; Ben-Zvi, Dani – Instructional Science: An International Journal of the Learning Sciences, 2023
Estimating and accounting for statistical uncertainty have become essential in today's information age, and crucial for cultivating a sound decision making citizenry. Engaging with statistical uncertainty early on can support the gradual development of uncertainty-related considerations that are often challenging to foster at any age. Statistical…
Descriptors: Learning Processes, Computation, Numeracy, Attitudes
Dirk Tempelaar; Bart Rienties; Bas Giesbers; Quan Nguyen – Journal of Learning Analytics, 2023
Learning analytics needs to pay more attention to the temporal aspect of learning processes, especially in self-regulated learning (SRL) research. In doing so, learning analytics models should incorporate both the duration and frequency of learning activities, the passage of time, and the temporal order of learning activities. However, where this…
Descriptors: Time Factors (Learning), Learning Analytics, Models, Statistical Analysis
Luo, Jiaorong; Yang, Mingcheng; Wang, Ling – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
The increased Simon effect with increasing the ratio of congruent trials may be interpreted by both attention modulation and irrelevant stimulus-response (S-R) associations learning accounts, although the reversed Simon effect with increasing the ratio of incongruent trials provides evidence supporting the latter account. To investigate if…
Descriptors: Foreign Countries, Responses, Reaction Time, Accuracy
Kallio, Heli; Virta, Kalle; Kallio, Manne – International Journal of Educational Psychology, 2018
Metacognitive awareness consists of two components, i.e. regulation of cognition and knowledge of cognition. In earlier studies self-evaluation is aligned as a subcomponent of regulation of cognition. However, in this study we point out that self-evaluation does not actually regulate the ongoing or forthcoming process but it is a tool used to…
Descriptors: Metacognition, Self Evaluation (Individuals), Models, Vocational Education
Zulfa; Nusi, Ahmad; Ananda, Azwar; Efi, Agusti; Pernantah, Piki Setri – International Journal of Instruction, 2022
This study aims to find a simulation project-based learning model for the Minangkabau Natural Culture subject in higher education. This research method uses the research and development (R and D) development procedure using the Plomp development design that goes through 3 steps, namely: Preliminary Research, Prototyping Phase, and Assessment…
Descriptors: Student Projects, Active Learning, Higher Education, Models
Perry, Conrad – Scientific Studies of Reading, 2018
The latest version of the connectionist dual process model of reading (CDP++.parser) was tested on a set of nonwords, many of which were orthographically strange (e.g., PSIZ). A grapheme-by-grapheme read-out strategy was used because the normal strategy produced many poor responses. The new strategy allowed the model to produce results similar to…
Descriptors: Models, Reading Strategies, Graphemes, Statistical Analysis
Vogel, Tobias; Carr, Evan W.; Davis, Tyler; Winkielman, Piotr – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
Stimuli that capture the central tendency of presented exemplars are often preferred--a phenomenon also known as the classic beauty-in-averageness effect. However, recent studies have shown that this effect can reverse under certain conditions. We propose that a key variable for such ugliness-in-averageness effects is the category structure of the…
Descriptors: Interpersonal Attraction, Preferences, Stimuli, Experiments
Yang, Xi; Chen, Jin – Environmental Education Research, 2017
Botanical gardens (BGs) are important agencies that enhance human knowledge and attitude towards flora conservation. By following free-choice learning model, we developed a "Discovery map" and distributed the map to visitors at the Xishuangbanna Tropical Botanical Garden in Yunnan, China. Visitors, who did and did not receive discovery…
Descriptors: Maps, Learning Processes, Environmental Education, Foreign Countries
Denby, Thomas; Schecter, Jeffrey; Arn, Sean; Dimov, Svetlin; Goldrick, Matthew – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
Phonotactics--constraints on the position and combination of speech sounds within syllables--are subject to statistical differences that gradiently affect speaker and listener behavior (e.g., Vitevitch & Luce, 1999). What statistical properties drive the acquisition of such constraints? Because they are naturally highly correlated, previous…
Descriptors: Phonology, Probability, Learning Processes, Syllables
Gorecek Baybars, Meryem; Kucukozer, Huseyin – European Journal of Educational Research, 2018
The object of this study is to determine the conceptual understanding that prospective Science teachers have relating "de Broglie: Matter waves" and to investigate the effect of the instruction performed, on the conceptual understanding. This study was performed at a state university located in the western part of Turkey, with the…
Descriptors: Foreign Countries, Preservice Teachers, Physics, Scientific Concepts
Kai, Shimin; Almeda, Ma. Victoria; Baker, Ryan S.; Heffernan, Cristina; Heffernan, Neil – Journal of Educational Data Mining, 2018
Research on non-cognitive factors has shown that persistence in the face of challenges plays an important role in learning. However, recent work on wheel-spinning, a type of unproductive persistence where students spend too much time struggling without achieving mastery of skills, show that not all persistence is uniformly beneficial for learning.…
Descriptors: Decision Making, Models, Intervention, Computer Assisted Instruction
Chiu, Ming Ming – Journal of Learning Analytics, 2018
Learning analysts often consider whether learning processes across time are related (1) to one another or (2) to learning outcomes at higher levels. For example, are a group's temporal sequences of talk (e.g., correct evaluation [right arrow] correct, new idea) during its problem solving related to its group solution? I show how to address these…
Descriptors: Statistical Analysis, Models, Data Analysis, Regression (Statistics)
Alammary, Jaflah; Al-Haiki, Fatima; Al-Muqahwi, Kawther – Turkish Online Journal of Educational Technology - TOJET, 2017
Assistive Technology is playing an enabler role in the life of Down Syndrome. Assistive Technology can allow Down Syndrome to engage in the normal life activities and be more social and independent. The Arab countries are providing vital effort on facilitating the life of Down Syndrome and encouraging their engagement in normal social life.…
Descriptors: Assistive Technology, Down Syndrome, Foreign Countries, Teaching Methods
Yalcin, Yasin – ProQuest LLC, 2017
The purposes of this study were to investigate the structural relationships among the factors that affect online learners' satisfaction with the learning experience, and to develop a structural model that explains online learners' satisfaction. For these purposes, a research model was developed based on the principles of social cognitive theory…
Descriptors: Metacognition, Structural Equation Models, Social Cognition, Self Efficacy