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Lee, Minkyung; Clariana, Roy B. – Educational Technology Research and Development, 2022
This experimental investigation considers how the inherent conceptual structure of external representations influences individuals' knowledge structure, and in addition proposes a measure of global collective knowledge to account for the influence of pre-existing knowledge structure. In two studies, undergraduates in a hospitality management…
Descriptors: Prior Learning, Undergraduate Students, Hospitality Occupations, Cognitive Structures
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Simonsmeier, Bianca A.; Flaig, Maja; Deiglmayr, Anne; Schalk, Lennart; Schneider, Michael – Educational Psychologist, 2022
It is often hypothesized that prior knowledge strongly predicts learning performance. It can affect learning positively mediated through some processes and negatively mediated through others. We examined the relation between prior knowledge and learning in a meta-analysis of 8776 effect sizes. The stability of individual differences, that is, the…
Descriptors: Prior Learning, Individual Differences, Learning, Knowledge Level
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Yang Dong; Bonnie Wing-Yin Chow; Gelin Xia; Jianhong Mo; Hang Dong – Reading Research Quarterly, 2025
The article explored the impact of topic background knowledge (TBK) on children's language ability development and reading-related emotional factors. TBK refers to the foundational knowledge that children possess concerning a specific subject or topic. The content schemata theory suggests that a high level of TBK facilitates information processing…
Descriptors: Language Acquisition, Prior Learning, Kindergarten, Preschool Children
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Jones, Elizabeth V.; Evans, Michael; Shepler, Carrie – Journal of College Science Teaching, 2023
In response to remote learning needs during the COVID-19 pandemic, introductory lecture and laboratory courses typically delivered fully in person were offered in a completely virtual format for the first time. Introductory laboratory courses are pivotal foundations for future discipline-specific learning and serve as prerequisites for a myriad of…
Descriptors: Prerequisites, Electronic Learning, Science Experiments, COVID-19
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Cody, Christa; Maniktala, Mehak; Lytle, Nicholas; Chi, Min; Barnes, Tiffany – International Journal of Artificial Intelligence in Education, 2022
Research has shown assistance can provide many benefits to novices lacking the mental models needed for problem solving in a new domain. However, varying approaches to assistance, such as subgoals and next-step hints, have been implemented with mixed results. Next-Step hints are common in data-driven tutors due to their straightforward generation…
Descriptors: Comparative Analysis, Prior Learning, Intelligent Tutoring Systems, Problem Solving
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Mertens, Ute; Finn, Bridgid; Lindner, Marlit Annalena – Journal of Educational Psychology, 2022
Feedback is one of the most important factors for successful learning. Contemporary computer-based learning and testing environments allow the implementation of automated feedback in a simple and efficient manner. Previous meta-analyses suggest that different types of feedback are not equally effective. This heterogeneity might depend on learner…
Descriptors: Computer Assisted Testing, Feedback (Response), Electronic Learning, Network Analysis
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Litster, Kristy; Lommatsch, Christina W.; Novak, Joshua R.; Moyer-Packenham, Patricia S.; Harmon, M. Jill; Roxburgh, Allison L.; Bullock, Emma P. – International Journal of Science and Mathematics Education, 2021
This study explored associations among children's prior attitudes, prior mathematics knowledge, and frequency of digital game use, with children's perceptions of game affordances, and transfer to out-of-game performance when interacting with digital math games, with respect to gender. Participants were 187 children (ages 8-12). An SEM mediation…
Descriptors: Gender Differences, Pretests Posttests, Computer Games, Student Attitudes
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Wang, Dongqing; Han, Hou – Journal of Computer Assisted Learning, 2021
With the development of a technology-supported environment, it is plausible to provide rich process-oriented feedback in a timely manner. In this paper, we developed a learning analytics dashboard (LAD) based on process-oriented feedback in iTutor to offer learners their final scores, sub-scale reports, and corresponding suggestions on further…
Descriptors: Learning Analytics, Educational Technology, Feedback (Response), Intelligent Tutoring Systems
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Miller-Cotto, Dana; Auxter, Abbey E. – Educational Psychology, 2021
Faded worked examples have been used to promote problem solving performance, such as mathematics performance in many laboratory studies and short-term classroom studies. However, few studies have examined the ways educators may use fading in their own classroom on more accessible platforms that do not require programming experience. Further, few…
Descriptors: Undergraduate Students, College Mathematics, Algebra, Homework
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Klein, Perry; Bildfell, Ashley; Dombroski, Jill D.; Giese, Christine; Sha, Kristen Wing-Yan; Thompson, Serena C. – Reading & Writing Quarterly, 2022
Experimental research on strategy instruction for beginning writers has only recently begun. This study investigated the role of self-regulation instruction in Grade 1 strategy learning. In a pretest-post-test quasi-experiment, 120 Grade 1 students participated in a unit of study on personal narrative in one of three conditions: (1) Self-Regulated…
Descriptors: Metacognition, Writing Strategies, Pretests Posttests, Comparative Analysis
Snead, William R.; Joseph, Manjula; Capriotiti, Michael; Saminatahn, Swega; Parewa, Abhinav; Thao, Chinhuor; Belogortsev, Aleksandr – Online Submission, 2023
This research study sought to determine whether pre-reading assignments have an impact on a student's academic performance. Learning a new topic which oftentimes seems foreign is never easy. However, reading a short article or reviewing a slide-show presentation on the lecture topic before the lecture happens (otherwise known as a pre-reading…
Descriptors: Prereading Experience, Assignments, Comparative Analysis, Academic Achievement
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Slof, Bert; van Leeuwen, Anouschka; Janssen, Jeroen; Kirschner, Paul A. – Journal of Computer Assisted Learning, 2021
In computer-supported collaborative learning research, studies examining the combined effects of individual level, group level and within-group differences level measures on individual achievement are scarce. The current study addressed this by examining whether individual, group and within-group differences regarding engagement and prior…
Descriptors: Cooperative Learning, Prior Learning, Secondary School Students, Academic Achievement
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Katz, Sandra; Albacete, Patricia; Chounta, Irene-Angelica; Jordan, Pamela; McLaren, Bruce M.; Zapata-Rivera, Diego – International Journal of Artificial Intelligence in Education, 2021
Jim Greer and his colleagues argued that student modelling is essential to provide adaptive instruction in tutoring systems and showed that effective modelling is possible, despite being enormously challenging. Student modelling plays a prominent role in many intelligent tutoring systems (ITSs) that address problem-solving domains. However,…
Descriptors: Physics, Science Instruction, Pretests Posttests, Scores
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Harter, Cynthia – Citizenship, Social and Economics Education, 2021
The financial and public health crises that have impacted the global economy in the past two decades have heightened awareness of the importance of financial literacy for consumers, businesses, and governments. This study uses secondary school teacher and student pretest and posttest scores on the Test of Financial Literacy to identify persistence…
Descriptors: Money Management, Teaching Methods, Secondary School Teachers, Secondary School Students
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Arslan, Esra; Isbulan, Onur – Malaysian Online Journal of Educational Technology, 2021
In this research, the effects of individual and teamwork activities on perceptions of block-based programming self-efficacy and attitudes towards robotic programming tried to be determined. The research has conducted in a private school located in Sariyer, district of Istanbul province in the 2nd academic year of 2018-2019 with 32 students from…
Descriptors: Computer Science Education, Programming Languages, Robotics, Individual Instruction
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