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Jiaxu Liu; Qingtang Liu; Shufan Yu; Jingjing Ma; Mengfan Liu; Linjing Wu – Education and Information Technologies, 2024
Virtual reality learning environment (VRLE), which allow students to transcend time and space and provide them with a sense of immersion, is becoming more common in education. Although many studies have explored the effects of VRLE on learners' learning outcomes as well as learning experiences, the results of these studies indicate that the…
Descriptors: Personal Autonomy, Student Characteristics, Outcomes of Education, Cognitive Processes
Chaoyang Jin; Jing Yan – Language Learning Journal, 2025
This systematic review aims to explore how task complexity and task sequencing affect the complexity, accuracy, and fluency (CAF) of second language performance. Through an analysis of studies conducted between 2012 and 2021, this review investigates the characteristics of the studies, operationalisation of task complexity, measurements of CAF,…
Descriptors: Second Language Learning, Difficulty Level, Language Fluency, Accuracy
Yew-Jin Lee; Dongsheng Wan – Educational Studies, 2024
Educators have long questioned why some students can experience achievement more easily in some school subjects/curriculum, but not in others. We argue that learners cannot ignore navigating two key features inherent within every curriculum--its cognitive demands as well as its opportunities for access to knowledge that are the twin foci of this…
Descriptors: Foreign Countries, Academic Achievement, Cognitive Processes, Difficulty Level
Shaw, Neil – Journal of Pedagogical Research, 2023
Attention-based learning tasks of modern classrooms require processing of information in working memory. Not much is known about the cognitive processes operating during these tasks. To gain an understanding of the processes that support cognitive functions like learning, we have monitored the activity of the brain waves emanating from the frontal…
Descriptors: Cognitive Processes, Brain Hemisphere Functions, High School Students, Short Term Memory
Hussein, Mahmood H.; Ow, Siew Hock; Al-Azawei, Ahmed; Ibrahim, Ishaq – Australasian Journal of Educational Technology, 2022
This study aims at proposing an integrated model based on the technology acceptance model, the information system success model, cognitive load theory, and personal characteristics to predict students' continued intention to reuse Google Classroom in the context of a developing country. To achieve this, we conducted quantitative research,…
Descriptors: Educational Technology, Learning Management Systems, Intention, Student Characteristics
Eitel, Alexander; Endres, Tino; Renkl, Alexander – Educational Psychology Review, 2020
The main goals of this paper are to exemplify and further elaborate on the theoretical connections between cognitive load and self-regulated learning. In an effort to achieve this, we integrate the concepts of self-control and self-management within the effort monitoring and regulation (EMR) framework laid out by de Bruin et al. (Educational…
Descriptors: Cognitive Processes, Difficulty Level, Self Management, Self Control
Nickl, Michael; Huber, Sina A.; Sommerhoff, Daniel; Codreanu, Elias; Ufer, Stefan; Seidel, Tina – International Journal of Educational Technology in Higher Education, 2022
Assessing students on-the-fly is an important but challenging task for teachers. In initial teacher education, a call has been made to better prepare pre-service teachers for this complex task. Advances in technology allow this training to be done through authentic learning environments, such as video-based simulations. To understand the learning…
Descriptors: Simulation, Video Technology, Preservice Teachers, Preservice Teacher Education
Young, John Q.; Thakker, Krima; John, Majnu; Friedman, Karen; Sugarman, Rebekah; Sewell, Justin L.; O'Sullivan, Patricia S. – Applied Cognitive Psychology, 2021
We used the cognitive load inventory for handoffs (CLIH) to identify predictors of cognitive load types during patient handoffs in order to identify opportunities to improve instruction. In 2019, out of a total of 1,807 residents and fellows within a 24-hospital health system, 693 (38.4%) completed the CLIH after a patient handoff. Multivariable…
Descriptors: Predictor Variables, Cognitive Processes, Difficulty Level, Instructional Improvement
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
Norris, Nola G. – International Journal of Christianity & Education, 2023
This paper reports on a framework of thinking, memory and learning that emerged from a qualitative research study into the nature of learning for individuals with autism. The framework is useful for professional development of teachers regarding the learning characteristics of neurodiverse students with autism spectrum disorder. The paper provides…
Descriptors: Autism Spectrum Disorders, Students with Disabilities, Christianity, Religious Schools
Rhodes, Ashley; Wilson, Abigail; Rozell, Timothy – CBE - Life Sciences Education, 2020
Undergraduate attrition from science, technology, engineering, and mathematics is well documented and generally intensifies during intermediate years of college. Many contributing factors exist; however, a mismatch between timing of certain pedagogical approaches, such as case-based learning, and the level of students' cognitive abilities plays a…
Descriptors: Case Method (Teaching Technique), STEM Education, Undergraduate Students, Conventional Instruction
Okuni, Ivan Moses; Widyanti, Ari – Online Submission, 2019
Previous studies on cognitive load model have been entirely theoretical and there are no empirical studies currently that have been carried out to test the hypotheses in these theoretical models. Therefore, this study is aimed at proving Choi's cognitive load model using empirical data. The empirical data was collected in a foreign…
Descriptors: Foreign Countries, Foreign Students, Second Language Learning, Language of Instruction
Lehmann, Janina; Goussios, Christina; Seufert, Tina – Metacognition and Learning, 2016
According to Cognitive Load Theory, learning material should be designed in a way to decrease unnecessary demands on working memory (WM). However, recent research has shown that additional demands on WM caused by less legible texts lead to better learning outcomes. This so-called disfluency effect can be assumed as a metacognitive regulation…
Descriptors: Difficulty Level, Cognitive Processes, Short Term Memory, Metacognition
Hughes, Christopher; Costley, Jamie; Lange, Christopher – Interactive Technology and Smart Education, 2018
Purpose: The paper aims to examine the effect of levels of self-regulated effort (SRE) and levels of cognitive load on the watching and completing of video lectures used as the main source of instruction in online learning environments. Design/methodology/approach: A survey provided data on the students' engagement with video lectures, their level…
Descriptors: Self Management, Difficulty Level, Video Technology, Lecture Method
Aronne, Luciana; Nagle, Courtney; Styers, Jodie L.; Combs, Adam; George, J. Andrew – Electronic Journal of Science Education, 2019
This study examines the effectiveness of pre-laboratory presentations in an undergraduate general chemistry laboratory using two different modes of delivery: a traditional lecture versus an in-class video presentation. It was anticipated that implementation of videos could result in improved laboratory efficiency, safety, and necessary technical…
Descriptors: Video Technology, Instructional Effectiveness, Student Attitudes, Undergraduate Students

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