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Zamecnik, Andrew; Kovanovíc, Vitomir; Joksimovíc, Srécko; Grossmann, Georg; Ladjal, Djazia; Marshall, Ruth; Pardo, Abelardo – Journal of Computer Assisted Learning, 2023
Background: Maintaining cohesion is critical for teams to achieve shared goals and performance outcomes within a work-integrated learning (WIL) environment. Cohesion is an emergent state that develops over time, representing the synchrony of different behavioural interactions. Cohesive teams will exhibit such phenomena by their temporal…
Descriptors: Data Use, Group Dynamics, College Students, Cooperative Learning
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Tang, Hengtao; Dai, Miao; Yang, Shuoqiu; Du, Xu; Hung, Jui-Long; Li, Hao – Distance Education, 2022
The purpose of this research was to apply multimodal learning analytics in order to systemically investigate college students' attention states during their collaborative problem-solving (CPS) in online settings. Existing research on CPS relies on self-reported data, which limits the validity of the findings. This study looked at data in a…
Descriptors: Learning Analytics, College Students, Attention, Cooperative Learning
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Zhang, Ling; Jackson, Haidee A.; Hunt, Tiffany L.; Carter, Richard Allen; Yang, Sohyun; Emerling, Christopher R. – TEACHING Exceptional Children, 2022
Mathematical problem solving is a complex cognitive activity, which poses difficulties for students with and without disabilities in inclusive learning environments. With a variety of functions, Learning Management Systems (LMSs) have the potential to enhance personalized learning to meet the diverse needs of all students. This paper provides…
Descriptors: Integrated Learning Systems, Mathematics Skills, Problem Solving, Evidence Based Practice
Wei, Shuang – ProQuest LLC, 2020
CAL (Computer Assisted Learning) programs are widespread today in schools and families due to the effectiveness of CAL programs in improving students' learning and task performance. The flourishing of CAL programs in education has brought large amounts of students' learning data including log data, performance data, mouse movement data, eye…
Descriptors: Visualization, Problem Solving, Elementary School Students, Computer Assisted Instruction
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Charitopoulos, Angelos; Rangoussi, Maria; Koulouriotis, Dimitrios – International Journal of Artificial Intelligence in Education, 2020
The aim of this paper is to survey recent research publications that use Soft Computing methods to answer education-related problems based on the analysis of educational data 'mined' mainly from interactive/e-learning systems. Such systems are known to generate and store large volumes of data that can be exploited to assess the learner, the system…
Descriptors: Data Collection, Learning Analytics, Educational Research, Artificial Intelligence
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Nachamma Sockalingam; Kenneth Lo; Judy Teo; Cheah Chin Wei; Danny Chow Jiun Jiet; Dorien Herremans; Melvin Lee Ming Jun; Oka Kurniawan; Yixiao Wang; Pey Kin Leong – Discover Education, 2025
Singapore University of Technology and Design (SUTD) is embarking on an educational innovation program called SUTD campusX to support its future of education. SUTD campusX aims to innovate new educational models, technology tools, and pedagogies for a new form of learning called "Cyber-Physical Learning", where the concept is that both…
Descriptors: Educational Trends, Educational Innovation, Educational Practices, Teaching Methods
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Larmuseau, Charlotte; Cornelis, Jan; Lancieri, Luigi; Desmet, Piet; Depaepe, Fien – British Journal of Educational Technology, 2020
To have insight into cognitive load (CL) during online complex problem solving, this study aimed at measuring CL through physiological data. This study experimentally manipulated intrinsic and extraneous load of exercises in the domain of statistics, resulting in four conditions: high complex with hints, low complex with hints, high complex…
Descriptors: Learning Analytics, Problem Solving, Electronic Learning, Cognitive Processes
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Zhang, Qiao; Maclellan, Christopher J. – International Educational Data Mining Society, 2021
Knowledge tracing algorithms are embedded in Intelligent Tutoring Systems (ITS) to keep track of students' learning process. While knowledge tracing models have been extensively studied in offline settings, very little work has explored their use in online settings. This is primarily because conducting experiments to evaluate and select knowledge…
Descriptors: Electronic Learning, Mastery Learning, Computer Simulation, Intelligent Tutoring Systems
Moses, Kenie – ProQuest LLC, 2019
This experimental research study examined the effects of using a mobile learning environment (MLE) that provided scaffolded assistive tutoring on student achievement in a Circuit Analysis (Network Theory) course. It also aimed to examine the relationships between students' user learning analytics and their learning outcomes. The design and…
Descriptors: Academic Achievement, Problem Solving, Self Efficacy, Electronic Learning
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Whitcomb, Kyle M.; Guthrie, Matthew W.; Singh, Chandralekha; Chen, Zhongzhou – Physical Review Physics Education Research, 2021
In two earlier studies, we developed a new method to measure students' ability to transfer physics problem-solving skills to new contexts using a sequence of online learning modules, and implemented two interventions in the form of additional learning modules designed to improve transfer ability. The current paper introduces a new data analysis…
Descriptors: Accuracy, Measurement Techniques, Electronic Learning, Learning Modules
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Brijlall, Deonarain; Ally, Noor – EURASIA Journal of Mathematics, Science and Technology Education, 2020
The narrative permeating higher education institutions globally is the assimilation of advancing information and communications technology into mainstream Mathematics Education. In this paper we report on a mixed mode case study which explored possible mathematical gaps that created barrier/s when engineering students (n=162) worked with the…
Descriptors: Introductory Courses, Engineering Education, Mathematics Education, Mathematics Skills
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Tempelaar, Dirk; Rienties, Bart; Nguyen, Quan – International Association for Development of the Information Society, 2019
Learning analytic models are built upon traces students leave in technology-enhanced learning platforms as the digital footprints of their learning processes. Learning analytics uses these traces of learning engagement to predict performance and provide learning feedback to students and teachers when these predictions signal the risk of failing a…
Descriptors: Learner Engagement, Outcomes of Education, Learning Processes, Learning Analytics
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Ifenthaler, Dirk, Ed.; Sampson, Demetrios G., Ed.; Isaías, Pedro, Ed. – Cognition and Exploratory Learning in the Digital Age, 2022
This book is about inclusivity and open education in the digital age. It reports the latest data on this topic from the 2021 Cognition and Exploratory Learning in the Digital Age (CELDA) conference. This annual conference focuses on challenges pertaining to the evolution of the learning process, the role of pedagogical approaches and the progress…
Descriptors: Teaching Methods, Educational Innovation, Educational Technology, Technology Uses in Education
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Chutiporn Anutariya Ed.; Dejian Liu Ed.; Kinshuk Ed.; Ahmed Tlili Ed.; Junfeng Yang Ed.; Maiga Chang Ed. – Lecture Notes in Educational Technology, 2023
This book collects the proceedings of the 7th International Conference on Smart Learning Environments (ICSLE2023), held in Bangkok, Thailand, as a hybrid conference from 31st Aug to 1st Sep 2023. The proceedings focus on the interplay between pedagogy and technology, and their fusion towards the advancement of smart learning for a sustainable…
Descriptors: Educational Technology, Electronic Learning, Sustainability, Student Satisfaction
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Ifenthaler, Dirk, Ed.; Isaías, Pedro, Ed.; Sampson, Demetrios G., Ed. – Cognition and Exploratory Learning in the Digital Age, 2022
This volume focuses on the implications of digital technologies for educators and educational decision makers that are not widely represented in the literature. The chapters contained in the volume are based on the presentations at the 2020 edition of the CELDA conference and cover multiple developments in the field such as deploying learning…
Descriptors: Educational Technology, Electronic Learning, Technology Integration, Teaching Methods