With various digital technologies increasingly integrated into higher education, understanding how students engage with such technologies has become vital. There are different ways to measure student engagement; however, self-reported measures such as questionnaires are predominantly used to understand student engagement. In contrast, this study…

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…

Purpose: The emergence of social media has provided an alternative mechanism for students to provide and access online reviews about universities. These forms of feedback are often not systematically monitored and interpreted by universities. The purpose of this paper is to analyse quantitative ratings and qualitative comments provided by students…

In today's world of pervasive technology use, online education is rapidly growing. Online learning environments offer a multitude of benefits for both learners and teachers, as there are substantially more accessible and affordable. The present research focuses on teaching the use of qualitative data analysis software (CAQDAS) to researchers.…

Learning design has traditionally been thought of as an activity occurring prior to the presentation of a learning experience or a description of that activity. With the advent of near real-time data and new opportunities of representing the decisions and actions of learners in digital learning environments, learning designers can now apply…

Big data from massive open online courses (MOOCs) have enabled researchers to examine learning processes at almost infinite levels of granularity. Yet, such data sets do not track every important element in the learning process. Many strategies that MOOC learners use to overcome learning challenges are not captured in clickstream and log data. In…

In this paper, we show how data mining algorithms (e.g. Apriori Algorithm (AP) and Collaborative Filtering (CF)) is useful in New Social Network (NSN-AP-CF). "NSN-AP-CF" processes the clusters based on different learning styles. Next, it analyzes the habits and the interests of the users through mining the frequent episodes by the…

It is well known engaged students perform better in any course (Nash, 2005, Angelino et. al 2007, Revere and Kovach 2011). However in the online classroom environment engaging students can be a challenge especially with quantitative material. With over 12 combined years of online teaching, the authors have collected useful data that help analyze…

Education, science, and technology disciplines are closely and extensively connected in all formats and levels. The outbreak of COVID-19 has further squeezed this interconnection where the delivery of education in different scientific fields of studies at all education levels is almost impossible without the presence of technology. Today, there is…

Challenge by choice (CBC) has been regarded as a foundational principle for challenge ropes course programs. Although CBC is widely accepted as the primary mechanism for facilitating intended ropes course outcomes, especially a participant's involvement, until recently it had remained an untested assumption. This study explored the role of CBC as…

In a contextual cuing paradigm, we examined how memory for the spatial structure of a natural scene guides visual search. Participants searched through arrays of objects that were embedded within depictions of real-world scenes. If a repeated search array was associated with a single scene during study, then array repetition produced significant…

Due to the frequent change in expectations from education/learning, youth, the educational system's most dynamic participants, are experiencing low-level motivation in education and learning, because of growth and psychological characteristics or sociological, economic, and other reasons. This negative process is pushing program-developers,…

In this study, we have investigated developmental patterns of virtual groups in the e-learning environment. Our findings suggest that for virtual groups formed for the purpose of e-learning, dependency and inclusion characterize the initial stage of group development, as such characteristics reinforce cooperative relationships and help to build a…

The aim of this article is three-fold: (a) to present an example of best practices in formative assessment in university instruction, offering three different methods of learning and assessment to pass a subject; (b) to analyze differences in academic performance depending on method of learning and assessment chosen; (c) to consider professors'…

The aim of this study is to determine the effectiveness of smart classrooms on the academic achievement of the nursing students. The sample of the research included 66 Health College students in Elazig. The sampling group was randomly chosen from second year students of Nursing and Midwife Education. The research was carried out with experimental…