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Dominguez, Cesar; Garcia-Izquierdo, Francisco J.; Jaime, Arturo; Perez, Beatriz; Rubio, Angel Luis; Zapata, Maria A. – IEEE Transactions on Learning Technologies, 2021
The study of the relationships between self-regulated learning and formative assessment is an active line of research in the educational community. A recent review of the literature highlights that the study of these connections has been mainly unidirectional, focusing on how formative assessment helps students to self-regulate their learning,…
Descriptors: Learning Analytics, Time Factors (Learning), Self Evaluation (Individuals), Formative Evaluation
McFarland, Daniel A.; Khanna, Saurabh; Domingue, Benjamin W.; Pardos, Zachary A. – AERA Open, 2021
This AERA Open special topic concerns the large emerging research area of education data science (EDS). In a narrow sense, EDS applies statistics and computational techniques to educational phenomena and questions. In a broader sense, it is an umbrella for a fleet of new computational techniques being used to identify new forms of data, measures,…
Descriptors: Learning Analytics, Statistics, Computation, Measurement
Ouyang, Fan – Journal of Educational Computing Research, 2021
Sharing the same philosophy of "relations matter" with computer-supported collaborative learning (CSCL), social network analysis (SNA) has become a common methodology in the CSCL research. In this research, I use SNA methods from "relational ties," "network modes," and "integrated methods" perspectives to…
Descriptors: Social Networks, Cooperative Learning, Electronic Learning, Online Courses
Jiang, Yang; Gong, Tao; Saldivia, Luis E.; Cayton-Hodges, Gabrielle; Agard, Christopher – Large-scale Assessments in Education, 2021
In 2017, the mathematics assessments that are part of the National Assessment of Educational Progress (NAEP) program underwent a transformation shifting the administration from paper-and-pencil formats to digitally-based assessments (DBA). This shift introduced new interactive item types that bring rich process data and tremendous opportunities to…
Descriptors: Data Use, Learning Analytics, Test Items, Measurement
OECD Publishing, 2021
How might digital technology and notably smart technologies based on artificial intelligence (AI), learning analytics, robotics, and others transform education? This book explores such question. It focuses on how smart technologies currently change education in the classroom and the management of educational organisations and systems. The book…
Descriptors: Educational Technology, Technology Uses in Education, Artificial Intelligence, Learning Analytics
Niemelä, Marko; Kärkkäinen, Tommi; Äyrämö, Sami; Ronimus, Miia; Richardson, Ulla; Lyytinen, Heikki – British Journal of Educational Technology, 2020
Serious games are designed to improve learning instead of providing only entertainment. Serious games analytics can be used for understanding and enhancing the quality of learning with serious games. One challenge in developing the computerized support for learning is that learning of skills varies between players. Appropriate algorithms are…
Descriptors: Educational Games, Game Based Learning, Learning Analytics, Reading Skills
Jaramillo-Morillo, Daniel; Ruipérez-Valiente, José; Sarasty, Mario F.; Ramírez-Gonzalez, Gustavo – International Journal of Educational Technology in Higher Education, 2020
Massive Open Online Massive Open Online Courses (MOOCs) have been transitioning slowly from being completely open and without clear recognition in universities or industry, to private settings through the emergence of Small and Massive Private Online Courses (SPOCs and MPOCs). Courses in these new formats are often for credit and have clear market…
Descriptors: Foreign Countries, Online Courses, Cheating, College Students
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
Cormack, Sophie H.; Eagle, Laurence A.; Davies, Mark S. – Assessment & Evaluation in Higher Education, 2020
Many studies have found a relationship between students' self-reported procrastination and their grades. Few studies have used learning analytic data as a behavioural measure of procrastination in order to predict performance, and there is no systematic research on how this relationship may differ across assessments or disciplines. In this study…
Descriptors: Correlation, Time Management, Academic Achievement, Grades (Scholastic)
Olsen, Jennifer K.; Sharma, Kshitij; Rummel, Nikol; Aleven, Vincent – British Journal of Educational Technology, 2020
The analysis of multiple data streams is a long-standing practice within educational research. Both multimodal data analysis and temporal analysis have been applied successfully, but in the area of collaborative learning, very few studies have investigated specific advantages of multiple modalities versus a single modality, especially combined…
Descriptors: Cooperative Learning, Learning Analytics, Data Use, Data Collection
Developing Computer-Aided Diagramming Tools to Mine, Model and Support Students' Reasoning Processes
Jeong, Allan C. – Educational Technology Research and Development, 2020
Despite the last 40 years of research showing that computer-aided diagramming tools improve student learning, very little research reveals the cognitive processes that explain why and how diagramming tools and specific features of the tools affect learning. This study developed a tool that graduate students used to diagram and analyze arguments as…
Descriptors: Concept Mapping, Visual Aids, Persuasive Discourse, Thinking Skills
Forsyth, Carol M.; Graesser, Arthur; Millis, Keith – Technology, Knowledge and Learning, 2020
The current study investigated predictors of shallow versus deep learning within a serious game known as Operation ARA. This game uses a myriad of pedagogical features including multiple-choice tests, adaptive natural language tutorial conversations, case-based reasoning, and an E-text to engage students. The game teaches 11 topics in research…
Descriptors: Educational Games, Predictor Variables, Evidence Based Practice, Learning Analytics
Rizvi, Saman; Rienties, Bart; Rogaten, Jekaterina; Kizilcec, René F. – Journal of Computing in Higher Education, 2020
Studies on engagement and learning design in Massive Open Online Courses (MOOCs) have laid the groundwork for understanding how people learn in this relatively new type of informal learning environment. To advance our understanding of how people learn in MOOCs, we investigate the intersection between learning design and the temporal process of…
Descriptors: Online Courses, Learning Processes, Science Education, Learner Engagement
Chen, Li; Lu, Min; Goda, Yoshiko; Shimada, Atsushi; Yamada, Masanori – International Association for Development of the Information Society, 2020
In this study, we used a learning analytics dashboard (LAD) in a higher education course to support students' metacognition and evaluated the effects of its use. The LAD displays students' reading path and specific behaviors when viewing digital learning materials. The study was conducted on 53 university students to identify the factors that…
Descriptors: College Students, Learning Analytics, Metacognition, Educational Technology
Joshua Beemer – ProQuest LLC, 2020
Student success efficacy studies are aimed at assessing instructional practices and learning environments by evaluating the success of and characterizing student subgroups that may benefit from such modalities. We develop an ensemble learning approach to perform these analytics tasks with specific focus on estimating individualized treatment…
Descriptors: Information Retrieval, Data Analysis, State Universities, Learning Analytics