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Showing 1 to 15 of 29 results Save | Export
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Pi, Zhongling; Zhang, Xinru; Zhang, Xingyu; Gao, Ming; Li, Xiying – British Journal of Educational Technology, 2023
The present study examined whether students' prior knowledge moderated the effects of their motivation compositions on learning performance (ie, retention and transfer) and interaction (ie, interpersonal brain synchronization (IBS) and behavioural pattern) in learning from video lectures. The results confirmed the benefits of the composition of…
Descriptors: Prior Learning, Student Motivation, Video Technology, Lecture Method
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Urfali Dadandi, Pakize; Ungan, Suat – Reading & Writing Quarterly, 2023
Many studies in the literature have addressed reading comprehension, the ultimate goal of the reading process, due to its complex nature. These studies have focused on various areas, such as the nature of reading comprehension, how it occurs, the factors that affect the process of comprehension, reading comprehension impediments, and how to…
Descriptors: Cognitive Processes, Student Motivation, Reading Comprehension, Nonfiction
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Gupta, Udita; Zheng, Robert Z. – European Journal of STEM Education, 2020
Cognitive load can play a key role in learners' abilities to solve complex problems like mathematics. Many factors can affect the presence of cognitive load in learning including instructional strategy, task difficulty and prior knowledge. To understand the interaction of above factors and their influence on learner cognitive load and performance,…
Descriptors: Cognitive Processes, Difficulty Level, Student Motivation, College Students
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Shuaizhen Jin; Zheng Zhong; Kunyan Li; Chen Kang – Education and Information Technologies, 2024
This study utilizes a comparative experimental research method to investigate the effect of the Predict, Observe, Explain, and Evaluate (POEE) learning strategy in an immersive virtual environment (IVE) on two types of learners with different levels of prior knowledge. One type referred to as Highly Experienced and Knowledgeable (HEK) learners,…
Descriptors: Active Learning, Inquiry, Prior Learning, Electronic Learning
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Faber, Günter; Drexler, Heike – Higher Learning Research Communications, 2019
Based on a cognitive--motivational modeling of construct relations, this study analyzed the role of prior statistics experiences within a framework of domain-specific self-concept and value variables to predict education science students' statistics anxiety. Data were analyzed from two independent samples comprising 113 and 87 participants--using…
Descriptors: Statistics, Mathematics Anxiety, Prior Learning, Student Motivation
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Rey, Günter Daniel; Beege, Maik; Nebel, Steve; Wirzberger, Maria; Schmitt, Tobias H.; Schneider, Sascha – Educational Psychology Review, 2019
The segmenting effect states that people learn better when multimedia instructions are presented in (meaningful and coherent) learner-paced segments, rather than as continuous units. This meta-analysis contains 56 investigations including 88 pairwise comparisons and reveals a significant segmenting effect with small to medium effects for retention…
Descriptors: Learning Processes, Multimedia Instruction, Teaching Methods, Recall (Psychology)
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Shangguan, Chenyu; Gong, Shaoying; Guo, Yawei; Wang, Xia; Lu, Jiamei – Educational Psychology, 2020
Extending studies on emotional design in multimedia learning beyond college samples and further considering individual differences, we examined the effects of emotional design on middle school students' learning and whether this relationship is moderated by learners' prior knowledge, using a computer-based lesson covering the topic "the…
Descriptors: Emotional Response, Instructional Design, Multimedia Instruction, Middle School Students
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Willems, Jonas; Coertjens, Liesje; Tambuyzer, Bart; Donche, Vincent – European Journal of Psychology of Education, 2019
Science students' study success rates in the first year of higher education (FYHE) are problematic. Although a considerable amount of previous research has been carried out to investigate the determinants of students' academic achievement in FYHE, there has been little discussion about the incremental value of non-cognitive factors over and above…
Descriptors: At Risk Students, College Freshmen, Academic Achievement, Science Instruction
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Wagner, Kai; Klein, Martin; Klopp, Eric; Puhl, Thomas; Stark, Robin – Higher Education Studies, 2013
An experimental field study at a German university was conducted in order to test the effectiveness of an integrated learning environment to improve the acquisition of knowledge about empirical research methods. The integrated learning environment was based on the combination of instruction-oriented and problem-oriented design principles and…
Descriptors: Foreign Countries, College Students, Control Groups, Experimental Groups
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Anderman, Eric M. – Educational Psychologist, 2010
In this article, I examine developments in research on achievement motivation and comment on how those developments are reflected in Wittrock's generative model of learning. Specifically, I focus on the roles of prior knowledge, the generation of knowledge, and beliefs about ability. Examples from Wittrock's theory and from current motivational…
Descriptors: Prior Learning, Student Motivation, Achievement Need, Educational Psychology
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Stiller, Klaus D.; Jedlicka, Rosemarie – Australasian Journal of Educational Technology, 2010
In instructional multimedia design, it is often recommended that text accompanying pictures be presented in a personalised style to promote learning. The superiority of personalised over formal text is may be explained using social agency theory (Mayer, 2005b), but it has not been investigated empirically whether such effects are valid in…
Descriptors: Computer Assisted Instruction, Prior Learning, Grade 10, Instructional Design
Nderu-Boddington, Eulalee – Online Submission, 2008
This paper examines how Piaget, Werner, and Gardner differ regarding the roles of cognition, intelligence, and learning in the developmental process. Piaget believes in the predominance of genetic factors. Werner stresses the influence of biological factors, while Gardner proposes that the environment plays a greater influence in how intelligence…
Descriptors: Intelligence, Prior Learning, Learning Motivation, Student Motivation
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Verhoeven, Ludo; Schnotz, Wolfgang; Paas, Fred – Learning and Instruction, 2009
The focus of this special issue is on the cognitive load underlying processes of interactive knowledge construction in a wide range of instructional multimedia platforms. Multimedia comprehension involves the parallel processing of auditory-verbal and visual-pictorial channels within working memory. By means of integrating multimodal information,…
Descriptors: Prior Learning, Perspective Taking, Short Term Memory, Cognitive Processes
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Stark, Robin; Puhl, Thomas; Krause, Ulrike-Marie – Evaluation & Research in Education, 2009
Starting from difficulties that students of education display when they interpret empirical findings and generate scientific arguments, a problem-based e-learning environment was developed. Based on first evaluation data, an elaboration tool was integrated into the learning environment. The tool consisted of a modelling and an explanation part. In…
Descriptors: Electronic Learning, Persuasive Discourse, Seminars, Computer Assisted Instruction
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Maclellan, Effie; Soden, Rebecca – International Journal for the Scholarship of Teaching and Learning, 2007
The emergence of what is increasingly becoming known as the knowledge age implies that higher education should prepare students to be, primarily, knowledge workers. This proposition triggered a small scale study in which structured interviews were carried out with 25 second-year undergraduates registered for a psychology module on motivational…
Descriptors: Student Attitudes, Higher Education, Structured Interviews, Undergraduate Students
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