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Li, Xu; Ouyang, Fan; Chen, WenZhi – Journal of Computing in Higher Education, 2022
Group formation is a critical factor which influences collaborative processes and performances in computer-supported collaborative learning (CSCL). Automatic grouping has been widely used to generate groups with heterogeneous attributes and to maximize the diversity of students' characteristics within a group. But there are two dominant challenges…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Group Dynamics, Grouping (Instructional Purposes)
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Wang, Han; Huang, Tao; Tian, Jun; Yang, Huali; Han, Pengdong – Best Evidence in Chinese Education, 2022
In the age of Internet Plus, the deep integration of information technology into education and individualized instruction have become a growing trend in education development. Self-regulated learning is a key element of student core competence, but easy to be overlooked in basic education. The purpose of this study is to establish the data…
Descriptors: Elementary School Students, Scaffolding (Teaching Technique), Learning Strategies, Models
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Isaac Kofi Nti; Faiza Umar Bawah; Juanita Ahia Quarcoo; Favour Kalos – Africa Education Review, 2022
Computers in education, along with soft-computing technology applications, have revolutionised global interconnectedness and the need for a well-educated workforce. Many studies worldwide explore technology in education, often relying on systematic reviews, though concerns about selection bias have emerged. This article takes a different approach,…
Descriptors: Bibliometrics, Computer Uses in Education, Artificial Intelligence, Educational Research
Jionghao Lin; Shaveen Singh; Lela Sha; Wei Tan; David Lang; Dragan Gasevic; Guanliang Chen – Grantee Submission, 2022
To construct dialogue-based Intelligent Tutoring Systems (ITS) with sufficient pedagogical expertise, a trendy research method is to mine large-scale data collected by existing dialogue-based ITS or generated between human tutors and students to discover effective tutoring strategies. However, most of the existing research has mainly focused on…
Descriptors: Intelligent Tutoring Systems, Teaching Methods, Dialogs (Language), Man Machine Systems
Vincent Aleven; Jori Blankestijn; LuEttaMae Lawrence; Tomohiro Nagashima; Niels Taatgen – Grantee Submission, 2022
Past research has yielded ample knowledge regarding the design of analytics-based tools for teachers and has found beneficial effects of several tools on teaching and learning. Yet there is relatively little knowledge regarding the design of tools that support teachers when a class of students uses AI-based tutoring software for self-paced…
Descriptors: Educational Technology, Artificial Intelligence, Problem Solving, Intelligent Tutoring Systems
Heeryung Choi – ProQuest LLC, 2022
Learning analytics researchers have been diligently integrating trace data to study Self-Regulated Learning (SRL). Compared to traditionally used survey data, trace data, such as log or clickstream data designed and interpreted to understand a certain SRL construct, are considered to be more effective in capturing dynamic SRL as fine-grained…
Descriptors: Learning Analytics, Metacognition, Validity, Comparative Analysis
Jennifer Carolyn Barry – ProQuest LLC, 2022
This phenomenological study expands upon Bean and Metzner's (1985) A Conceptual Model of Nontraditional Student Attrition framework by introducing a new Academic Variable, Learning Analytics (LA), and identifying two specific Social Integration Variables (Sense of belonging; Microaggressions). LA was not a factor in 1985 when the original model…
Descriptors: Academic Achievement, Learning Analytics, Academic Advising, Counselor Attitudes
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Shou, Tianze; Borchers, Conrad; Karumbaiah, Shamya; Aleven, Vincent – International Educational Data Mining Society, 2023
Spatial analytics receive increased attention in educational data mining. A critical issue in stop detection (i.e., the automatic extraction of timestamped and located stops in the movement of individuals) is a lack of validation of stop accuracy to represent phenomena of interest. Next to a radius that an actor does not exceed for a certain…
Descriptors: Classroom Design, Accuracy, Validity, Space Utilization
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Kim, Yoon Jeon; Knowles, Mariah A.; Scianna, Jennifer; Lin, Grace; Ruipérez-Valiente, José A. – British Journal of Educational Technology, 2023
Game-based assessment (GBA), a specific application of games for learning, has been recognized as an alternative form of assessment. While there is a substantive body of literature that supports the educational benefits of GBA, limited work investigates the validity and generalizability of such systems. In this paper, we describe applications of…
Descriptors: Learning Analytics, Validity, Generalizability Theory, Game Based Learning
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Al-Shaikhli, Dhuha – Education and Information Technologies, 2023
This research examines the effect of having a tracking technology in a learning management system (LMS) that reports the effect of perceiving other students' interactions on a learner's intention to keep using LMS in the future. The main underlying theory is herd behaviour theory which argues that crowd behaviour affects the perceptions of the…
Descriptors: Learning Management Systems, Educational Technology, Learning Analytics, Independent Study
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Gedrimiene, Egle; Celik, Ismail; Mäkitalo, Kati; Muukkonen, Hanni – Journal of Learning Analytics, 2023
Transparency and trustworthiness are among the key requirements for the ethical use of learning analytics (LA) and artificial intelligence (AI) in the context of social inclusion and equity. However, research on these issues pertaining to users is lacking, leaving it unclear as to how transparent and trustworthy current LA tools are for their…
Descriptors: Learning Analytics, Accountability, Trust (Psychology), Artificial Intelligence
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Lahza, Hatim; Khosravi, Hassan; Demartini, Gianluca – Journal of Computer Assisted Learning, 2023
Background: The use of crowdsourcing in a pedagogically supported form to partner with learners in developing novel content is emerging as a viable approach for engaging students in higher-order learning at scale. However, how students behave in this form of crowdsourcing, referred to as learnersourcing, is still insufficiently explored.…
Descriptors: Learning Analytics, Learning Strategies, Electronic Learning, Independent Study
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Sun, Jeffrey C. – British Journal of Educational Technology, 2023
Technology integration and learning analytics offer insights to improve educational experiences and outcomes. In advancing these efforts, laws and policies govern these environments placing protections, standards, and developmental opportunities for higher education, students, faculty, and even the nation-state. Nonetheless, evidence of…
Descriptors: Technology Integration, Privacy, Student Rights, Laws
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Liu, Zhichun; Moon, Jewoong – Educational Technology & Society, 2023
In this study, we have proposed and implemented a sequential data analytics (SDA)-driven methodological framework to design adaptivity for digital game-based learning (DGBL). The goal of this framework is to facilitate children's personalized learning experiences for K-5 computing education. Although DGBL experiences can be beneficial, young…
Descriptors: Learning Analytics, Design, Game Based Learning, Computation
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Xia, Xiaona – Interactive Learning Environments, 2023
The interactive learning is a continuous process, which is full of a large number of learning interaction activities. The data generated between learners and learning interaction activities can reflect the online learning behaviors. Through the correlation analysis among learning interaction activities, this paper discusses the potential…
Descriptors: Behavior Patterns, Learning Analytics, Decision Making, Correlation
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