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Héctor J. Pijeira-Díaz; Shashank Subramanya; Janneke van de Pol; Anique de Bruin – Journal of Computer Assisted Learning, 2024
Background: When learning causal relations, completing causal diagrams enhances students' comprehension judgements to some extent. To potentially boost this effect, advances in natural language processing (NLP) enable real-time formative feedback based on the automated assessment of students' diagrams, which can involve the correctness of both the…
Descriptors: Learning Analytics, Automation, Student Evaluation, Causal Models
Brown, Alice; Lawrence, Jill; Basson, Marita; Redmond, Petrea – Higher Education Research and Development, 2022
Student engagement is consistently identified as a key predictor of learner outcomes within the online learning environment. However, there is limited guidance about using proactive strategies to improve engagement for low and non-engaged students: for example by specifically employing course learning analytics (CLA) and nudging strategies in…
Descriptors: Electronic Learning, Learner Engagement, Instructional Improvement, College Instruction
Luis, Ricardo M. Meira Ferrão; Llamas-Nistal, Martin; Iglesias, Manuel J. Fernández – Smart Learning Environments, 2022
E-learning students have a tendency to get demotivated and easily dropout from online courses. Refining the learners' involvement and reducing dropout rates in these e-learning based scenarios is the main drive of this study. This study also shares the results obtained and crafts a comparison with new and emerging commercial solutions. In a…
Descriptors: Artificial Intelligence, Identification, Electronic Learning, Dropout Characteristics
Utamachant, Piriya; Anutariya, Chutiporn; Pongnumkul, Suporn – Smart Learning Environments, 2023
Apart from good instructional design and delivery, effective intervention is another key to strengthen student academic performance. However, intervention has been recognized as a great challenge. Most instructors struggle to identify at-risk students, determine a proper intervention approach, trace and evaluate whether the intervention works.…
Descriptors: Intervention, Learning Analytics, Learning Management Systems, Programming
Zheng, Lanqin; Long, Miaolang; Chen, Bodong; Fan, Yunchao – International Journal of Educational Technology in Higher Education, 2023
Online collaborative learning is implemented extensively in higher education. Nevertheless, it remains challenging to help learners achieve high-level group performance, knowledge elaboration, and socially shared regulation in online collaborative learning. To cope with these challenges, this study proposes and evaluates a novel automated…
Descriptors: Learning Analytics, Computer Assisted Testing, Cooperative Learning, Graphs
Kent, Carmel; Rechavi, Amit – International Journal of Research & Method in Education, 2020
Educational research suggests that interactivity is one of the most important tools for learning. This paper analyses the learning process in online communities by examining three types of interactions among learners: (1) interactions involving the active contribution of content ('digitally speaking'); (2) interactions involving the consumption of…
Descriptors: Electronic Learning, Interaction, Network Analysis, Learning Processes
Milat, Iness Nedji; Seridi, Hassina; Moudjari, Abdelkader – International Journal of Distance Education Technologies, 2020
Recently, discovering learner behaviour has taken more attention in the field of e-learning. It aims to gain useful insights into the learning process of students despite the absence of direct interaction with teachers. In fact, the only available source of information in such environments is the log file that represents all possible interactions…
Descriptors: Student Behavior, Behavior Patterns, Electronic Learning, Learning Analytics
Richard M. Baylis; Malcolm J. Beynon – Accounting Education, 2024
Lecture Capture (LC) material is accepted to be an available and accessible resource for students in universities across the world. This exploratory study investigates the "when viewing" LC material engagement of accounting undergraduate students. Three categories of engagement are defined, Near-Event-Viewing (NEV), Get-Round-to-Viewing…
Descriptors: Accounting, Lecture Method, Teaching Methods, Undergraduate Students
Katy Miller; Chereeka Garner – Journal of Library & Information Services in Distance Learning, 2024
Academic Libraries continuously strategize ways to infuse information literacy into the classroom. The libraries at a large research university created ten standalone information literacy courses in a learning management system (LMS) to be used as supplemental materials in credit-bearing courses. This article will outline the creation of the…
Descriptors: Academic Libraries, Information Literacy, Learning Modules, Learning Analytics
Ken Molloy; Yvonne Crotty – International Journal for Transformative Research, 2024
This article explains how teachers can use educational vlogging as a tool to facilitate students' reflective practice in primary schools. Vlogging is a short duration video recording that engages the learner in critical self-reflection. The widespread accessibility of digital devices in Irish schools offer primary teachers opportunities to use…
Descriptors: Electronic Learning, Online Courses, Elementary School Teachers, Reflection
Debeer, Dries; Vanbecelaere, Stefanie; Van Den Noortgate, Wim; Reynvoet, Bert; Depaepe, Fien – British Journal of Educational Technology, 2021
During the last decade, many governments and ed-tech companies have demonstrated an increased interest in digital personalised learning, which resulted in a variety of often game-like adaptive learning environments. However, there has been limited attention for the impact of these personalised learning technologies on children's learning…
Descriptors: Educational Games, Educational Technology, Individualized Instruction, Instructional Effectiveness
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
Amy Goodman; Youngjin Lee; Willard Elieson; Gerald Knezek – Journal of Computers in Mathematics and Science Teaching, 2023
Virtual learning environments give students more autonomy over their learning than traditional face-to-face classes and require that students adapt the ways they consume and assimilate new information. One theory of this process is self-regulated learning, which is illustrated in Efklides' Metacognitive and Affective model of Self-Regulated…
Descriptors: Self Management, Learning Theories, Learning Analytics, Undergraduate Students
Nazempour, Rezvan – ProQuest LLC, 2023
Educational Data Mining (EDM) is an emerging field that aims to better understand students' behavior patterns and learning environments by employing statistical and machine learning methods to analyze large repositories of educational data. Analysis of variable data in the early stages of a course might be used to develop a comprehensive…
Descriptors: Artificial Intelligence, Outcomes of Education, Electronic Learning, Educational Environment
Zhidkikh, Denis; Saarela, Mirka; Kärkkäinen, Tommi – Journal of Computer Assisted Learning, 2023
Background: Measurement of students' self-regulation skills is an active topic in education research, as effective assessment helps devising support interventions to foster academic achievement. Measures based on event tracing usually require large amounts of data (e.g., MOOCs and large courses), while aptitude measures are often qualitative and…
Descriptors: Independent Study, Junior High School Students, Secondary School Mathematics, Mathematics Education

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