Publication Date
| In 2026 | 0 |
| Since 2025 | 22 |
| Since 2022 (last 5 years) | 65 |
| Since 2017 (last 10 years) | 125 |
| Since 2007 (last 20 years) | 312 |
Descriptor
| Cognitive Processes | 912 |
| Computer Assisted Instruction | 912 |
| Educational Technology | 200 |
| Teaching Methods | 191 |
| Instructional Design | 185 |
| Problem Solving | 161 |
| Higher Education | 149 |
| Foreign Countries | 144 |
| Instructional Effectiveness | 143 |
| Difficulty Level | 137 |
| Learning Strategies | 137 |
| More ▼ | |
Source
Author
Publication Type
Education Level
Audience
| Researchers | 79 |
| Practitioners | 60 |
| Teachers | 30 |
| Administrators | 4 |
| Policymakers | 4 |
| Students | 1 |
Location
| Germany | 16 |
| Taiwan | 13 |
| Australia | 11 |
| Turkey | 9 |
| China | 8 |
| Israel | 7 |
| United Kingdom | 7 |
| Netherlands | 6 |
| South Africa | 6 |
| New Zealand | 5 |
| France | 4 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 1 |
| Meets WWC Standards with or without Reservations | 1 |
| Does not meet standards | 1 |
Alexander Eitel; Marie-Christin Krebs; Claudia Schöne – Educational Psychology Review, 2025
Given the many opportunities for technology use in education nowadays (e.g., Large language models, explainer videos, digital quizzing), teachers should know and rely on evidence-based answers to questions about when, how, and why technology-augmented instruction helps or hinders learning. To date, finding these answers requires integrating…
Descriptors: Predictor Variables, Technology Uses in Education, Educational Technology, Computer Assisted Instruction
Hsiao-Ching She; Meng-Jun Chen; Li-Yu Huang; Ching-Ying Hsueh – Education and Information Technologies, 2025
Despite the recognized link between scientific reasoning, mental sets, and conceptual change, the cognitive mechanisms underlying successful conceptual change remain unclear. To explore this, we developed computer-based reasoning programs with and without mental set support to examine their effects on conceptual change in tasks of varying…
Descriptors: Cognitive Processes, Scientific Concepts, Concept Formation, Eye Movements
Huan Kang; Hong Chen – Education and Information Technologies, 2025
This study investigates the effects of online instructors' use of initiation and maintenance rapport-building strategies (RBS) on Chinese EFL learners' CALL motivation and cognitive load management. Mixed methods research was used to concurrently triangulate different strands of data on the effects of RBS on 86 randomly sampled EFL learners. The…
Descriptors: English (Second Language), Second Language Learning, Teacher Student Relationship, Cognitive Processes
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
Li Xiangming; Xuening Li; Jingshun Zhang – Interactive Learning Environments, 2024
In this paper, we report a 12-week longitudinal study aiming at exploring the students' reading outcome and cognitive load with individual-based print, mobile app of Rain Classroom and collaboration-based social media of WeChat. Administered to 186 postgraduate students in a research university were the weekly reading materials and comprehension…
Descriptors: Outcomes of Education, Reading, Cognitive Processes, Difficulty Level
Shunmeng Chen – Journal of Computer Assisted Learning, 2025
Background: Computer-mediated writing classes have experienced a significant increase in popularity in recent years, serving as an effective modality for enhancing writing skills within an online framework. Objectives: This study seeks to bridge the gap in the literature by investigating the effectiveness of cognitive, social, and group-awareness…
Descriptors: Cognitive Processes, Difficulty Level, Computer Assisted Instruction, Writing Instruction
Marwa Hafour – Language Learning & Technology, 2025
Mobile apps are becoming part and parcel of our daily lives. Hence, this study examined the differential effects of app modes on listening comprehension and recognition. From a pool of Egyptian EFL sophomores, 107 students were randomly assigned into 3 groups practicing mobile-assisted listening in 3 modalities: Unimodal (n = 35), Bimodal (n =…
Descriptors: Foreign Countries, Multilingualism, English (Second Language), Second Language Learning
Xueye Yan; Peng Peng; Yuting Liu – Grantee Submission, 2024
Mayer (2017, 2020) proposed three major design features of computer-assisted instructions (CAI) within the Cognitive Theory of Multimedia Learning: reducing extraneous processing (i.e., excluding irrelevant content), managing essential processing (i.e., focusing on the complex but essential learning materials), and fostering generative processing…
Descriptors: Computer Assisted Instruction, Reading Instruction, Instructional Design, Reading Difficulties
Bülbül, Buket Özüm; Güler, Mustafa – E-Learning and Digital Media, 2023
Geometric habits of mind (GHoM) are the approaches that individuals use to solve geometry problems. This study aimed to determine the effect of dynamic geometry software (DGS) in activating the GHoM of pre-service mathematics teachers. The study was conducted with six teacher candidates who were enrolled in a semester-long course titled…
Descriptors: Cognitive Processes, Problem Solving, Geometry, Computer Software
Zhe Wang; Sara Abercrombie; Rachel Wong; Yuxin Ren; Shiting Dai – Journal of Computer Assisted Learning, 2024
Background: There are two major types of pictures that have been the focus of multimedia learning research, namely, seductive and interpretational pictures. Despite an increasing body of literature documenting the effects of either seductive or interpretational pictures added to text-based materials, there is a paucity of research explicitly…
Descriptors: Electronic Learning, Computers, Computer Assisted Instruction, Visual Aids
Rawad Chaker; Mélanie Gallot; Ayodélé Madi; Christian Collet; Nady Hoyek – Anatomical Sciences Education, 2025
During the COVID-19 pandemic, anatomy educators have demonstrated their ability to respond to face-to-face (F2F) teaching restrictions and offer emergency remote teaching and learning (ERTL) approach. Another educational model that was intensified during COVID-19 was blended learning (BL) which is a combination of F2F and online settings. Studies…
Descriptors: Anatomy, Human Body, Kinesiology, Science Instruction
Jenny Yun-Chen Chan; Avery Harrison Closser; Hannah Smith; Ji-Eun Lee; Kathryn C. Drzewiecki; Erin Ottmar – Grantee Submission, 2023
Prior work has established that cognitive and perceptual processes influence students' attention to notational structures in mathematical expressions, which in turn affects their problem-solving approaches and performance. Advances in educational technology provide opportunities to further investigate these processes, improve student learning, and…
Descriptors: Algebra, Educational Technology, Mathematics Instruction, Mathematics Education
Antje Boomgaarden; Katharina Loibl; Timo Leuders – Interactive Learning Environments, 2023
PS-I learning approaches with an initial problem-solving phase (PS) followed by an instruction phase (I) can be optimised by providing adaptive (individualised) instruction that builds on students' problem-solving products. A computer-based implementation of both phases offers the possibility of adaptivity at the transition from the…
Descriptors: Computer Assisted Instruction, Technology Uses in Education, Fractions, Educational Environment
Niroj Dahal; Binod Prasad Pant; Bal Chandra Luitel; Basanta Raj Lamichhane; Tara Paudel – Online Submission, 2024
This research explores two methods through which ten preservice math teachers develop an understanding of trigonometric values. Using the unit circle, preservice math teachers engage in knowledge-building activities such as paper folding and GeoGebra application. Grounded in Altman and Kidron's 2016 didactical design research, this study examines…
Descriptors: Trigonometry, Mathematics Instruction, Preservice Teachers, Mathematics Teachers
Xiaoqing Hong; Li Guo – Education and Information Technologies, 2025
The study investigates the effects of AI-enhanced multi-display language teaching systems on English as a Foreign Language (EFL) learners. Utilizing a pretest-posttest random assignment experimental design, the research involved 302 EFL students aged 19 to 28 in a higher education setting. The study examines the effects of AI-powered virtual…
Descriptors: Artificial Intelligence, Technology Uses in Education, Learning Motivation, Cognitive Processes

Peer reviewed
Direct link
