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Sara Bagossi; Osama Swidan – International Journal for Technology in Mathematics Education, 2023
Second-order covariation is a form of mathematical reasoning that needs to be characterized both concerning students' cognitive processes and the design of tasks that promote it. This contribution aims to shed light on these two issues by comparing data related to the same learning experiment performed in two different learning environments:…
Descriptors: Cognitive Processes, Learning Processes, Curriculum Design, Computer Assisted Instruction
Ruiqi Deng; Yi Yang; Suqin Shen – Education and Information Technologies, 2025
Empirical evidence has consistently shown that interactive questions are an effective strategy for strengthening student learning through instructional videos. However, research has not directly addressed the crucial question of whether the beneficial effects of interactive questions in instructional videos are attributable to the presence of…
Descriptors: Educational Technology, Technology Uses in Education, Video Technology, Questioning Techniques
Ünal Çakiroglu – Learning: Research and Practice, 2024
This quasi-experimental study aims to compare the effects of using combinations of written text, animation and narration in multimedia courseware. 114 sixth grade students assigned in three conditions were participated in the study. Three versions of the courseware with combinations of animation, text and narration were developed taking modality…
Descriptors: Courseware, Computer Assisted Instruction, Multimedia Instruction, Comparative Analysis
Vaux, Dana E.; Moore, Tami J.; Nordhues, Jeffrey D. – International Journal of Technology in Education, 2022
This paper presents a model for mastery learning. The framework for this model overlays the cognitive and knowledge dimensions from Krathwohl's revision of Bloom's Taxonomy, the Revised Taxonomy, with Polanyi's theory of personal knowledge. A simplified framework integrates Polanyi's concepts of subsidiary and focal awareness with the Revised…
Descriptors: Risk, Creativity, Thinking Skills, Technology Integration
Viberg, Olga; Kukulska-Hulme, Agnes; Peeters, Ward – International Journal of Mobile and Blended Learning, 2023
Mobile-assisted language learning (MALL) research includes examination and development of second language learners' cognitive and metacognitive self-regulated learning skills, but the affective learning component of self-regulation in this context remains largely unexplored. Support for affective learning, which is defined by learners' beliefs,…
Descriptors: Metacognition, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
Mingjie Zou; Binhai Ren – Journal for the Psychology of Language Learning, 2024
Flow, a subjective state of optimal engagement and immersion, is characterized by a balance of perceived challenges and skills, interest, attention, and a sense of control (Csikszentmihalyi, 1990). Investigating flow in language learning can provide valuable insights into effective learning processes and contexts (Egbert, 2003). Self-regulated…
Descriptors: Metacognition, Learning Strategies, English (Second Language), Second Language Learning
Colliot, Tiphaine; Jamet, Éric – Journal of Computer Assisted Learning, 2020
We investigated the effects of readymade versus self-generated graphic organizers (GOs) on learning, comparing the performances of undergraduates (N = 81) tasked with learning a multimedia document. This document was either presented on its own ("control group"), with a readymade GO, or with a blank GO that students had to fill in either…
Descriptors: Instructional Materials, Learning Processes, Undergraduate Students, Multimedia Materials
Razieh Fathi – ProQuest LLC, 2021
This dissertation describes an experiment to investigate how learners with different levels of background in computer science learn core concepts of computer science, in particular, algorithms. We designed a study to focus on cognitive task analysis for eliciting the empirical mental elements of learning two graph algorithms. Cognitive workload…
Descriptors: Undergraduate Students, Computer Science Education, Algorithms, Cognitive Development
Zu, Tianlong; Hutson, John; Loschky, Lester C.; Rebello, N. Sanjay – Journal of Educational Psychology, 2020
In a previous study, DeLeeuw and Mayer (2008) found support for the triarchic model of cognitive load (Sweller, Van Merriënboer, & Paas, 1998, 2019) by showing that three different metrics could be used to independently measure 3 hypothesized types of cognitive load: intrinsic, extraneous, and germane. However, 2 of the 3 metrics that the…
Descriptors: Eye Movements, Cognitive Processes, Difficulty Level, Multimedia Instruction
Implementation Intentions for Improving Self-Regulation in Multimedia Learning: Why Don't They Work?
Hoch, Emely; Scheiter, Katharina; Schüler, Anne – Journal of Experimental Education, 2020
Learners face several self-regulatory challenges during multimedia learning: choosing adequate cognitive strategies (cognitive self-regulation), relying on their own learning abilities (motivational self-regulation), and investing sufficient effort (behavioral self-regulation). Implementation intentions (plans that help transform intentions into…
Descriptors: Self Control, Multimedia Instruction, Cognitive Processes, Student Behavior
Parong, Jocelyn; Mayer, Richard E. – Journal of Computer Assisted Learning, 2021
As immersive virtual reality (IVR) systems proliferate in classrooms, it is important to understand how they affect learning outcomes and the underlying affective and cognitive processes that may cause these outcomes. Proponents argue that IVR could improve learning by increasing positive affective and cognitive processing, thereby supporting…
Descriptors: Virtual Classrooms, Cognitive Processes, Affective Behavior, Comparative Analysis
Borge, Marcela; Mercier, Emma – International Journal of Computer-Supported Collaborative Learning, 2019
In this paper, we argue that how we use theories may be preventing us from developing a deeper understanding of computer supported collaborative learning (CSCL) contexts. We focus the argument on our understanding of orchestration processes and draw on common theories to show how they prioritize a mono-ecological approach: the examination of…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Educational Technology, Technology Uses in Education
Lee, Hee Seung; Betts, Shawn; Anderson, John R. – Journal of Experimental Education, 2017
Appreciation of problem structure is critical to successful learning. Two experiments investigated effective ways of communicating problem structure in a computer-based learning environment and tested whether verbal instruction is necessary to specify solution steps, when deep structure is already embellished by instructional examples.…
Descriptors: Computer Assisted Instruction, Teaching Methods, Verbal Communication, Problem Solving
Lucas, Lyrica; Helikar, Tomáš; Dauer, Joseph – International Journal of Science Education, 2022
Comprehensive understanding of complex biological systems necessitates the use of computational models because they facilitate visualisation and interrogation of system dynamics and data-driven analysis. Computational model-based (CMB) activities have demonstrated effectiveness in improving students' understanding and their ability to use and…
Descriptors: Cytology, Science Instruction, Teaching Methods, Biology
Leow, Ronald P.; Cerezo, Luis – Studies in Second Language Learning and Teaching, 2016
Instructed second language acquisition (ISLA) has been referenced in the larger field of the SLA literature for over two and a half decades. Currently, there are several theoretical underpinnings accounting for processes assumed to play a role in ISLA and quite an impressive number of studies have empirically addressed some aspect(s) of ISLA.…
Descriptors: Role, Second Language Learning, Learning Processes, Language Research