By using modern data analysis techniques, this study aims to construct an innovative university English teaching effectiveness evaluation model based on particle swarm algorithm and support vector machine. The model is designed to improve assessment accuracy and personalization. The research process includes the methodology of data collection,…

To be successful in online education, learners should be able to self-regulate their learning due to the autonomy offered to them. Accurate measurement of learners' self-regulated learning (SRL) in online education is necessary to determine which learners are in need of support and how to best offer support. Trace data is gathered automatically…

Since the advent of online education, some colleges and universities have looked to third-party companies for help developing, marketing, and providing their online degree and certificate programs. But in recent years, those companies have expanded to run more and more of their clients' online programs. An industry has developed around online…

Schools face enormous challenges regarding how to operate efficiently and safely for the 2020-21 school year. As part of that response, some state leaders are asking the U.S. Department of Education to waive the annual federal testing and accountability requirements for 2021, which are key to understanding and addressing gaps in education among…

Big Data can radically transform education by enabling personalized learning, deep student modeling, and true longitudinal studies that compare changes across classrooms, regions, and years. With these promises, however, come risks to individual privacy and educational validity, along with deep policy and ethical issues. Education is largely a…

In this paper, we present an in-depth case study of a single student who failed an online module which formed part of a master's programme in Professional Education and Leadership. We use this case study to examine assessment practices in higher education in the online environment. In taking this approach, we go against the current predilection…

In just a short period, social media have altered many aspects of our daily lives, from how we form and maintain social relationships to how we discover, access, and share information online. Now social media are also affecting how we teach and learn. In this paper, we discuss methods that can help researchers and educators evaluate and understand…

This descriptive study examines online assessment strategies employed by preservice teacher candidates when creating thematic learning experiences in online teaching environments. Using the learning management system Moodle as part of their innovative training, this review of a sample of 395 candidate-created instructional units across all grades…

Teaching and learning in networked settings has attracted significant attention recently. The central topic of networked learning research is human-human and human-information interactions occurring within a networked learning environment. The nature of these interactions is highly complex and usually requires a multi-dimensional approach to…

This dataset contains participant data related to the use of badging (achievement) feedback in pedagogical design. Two sections each of web-based graphic design and web design undergraduate courses were offered at the University of Central Florida. A badging system for achievements was included in one section of each. Performance, engagement and…

Administrators at many colleges and universities have had online courses at their institutions for many years, now. One of the hidden challenges about online courses is that they tend to be observed and evaluated far less frequently than their face-to-face course counterparts. This is party due to the fact that many of us administrators today…

The number of academic institutions offering courses online has increased with courses being offered across almost all academic disciplines. Faculty members are often confronted with the responsibility of converting a face-to-face course to an online course while simultaneously dealing with new technologies and the interrelationship between the…

Learning Analytics (LA) is a field that aims to optimize learning through the study of dynamical processes occurring in the students' context. It covers the measurement, collection, analysis and reporting of data about students and their contexts. This study aims at surveying existing research on LA to identify approaches, topics, and needs for…

Identifying collaboration between learners in a course is an important challenge in education for two reasons: First, depending on the courses rules, collaboration can be considered a form of cheating. Second, it helps one to more accurately evaluate each learners competence. While such collaboration identification is already challenging in…

With the vast array of contextual factors, pedagogical approaches, models of implementation, and purposes of education and training related to online learning, educators, learners, and the general public alike are seeking answers regarding utility and effectiveness of online learning. This article identifies and responds to many of the challenges…