Despite the widespread availability and increasing use of cyberlearning environments, there remains a need for more research about their usefulness in undergraduate education, particularly STEM education. The process evaluating environment is an essential measure its success useful assisting design ensuring user satisfaction. Unfortunately, are relatively few empirical studies that provide comprehensive test Additionally, lack standards upon whose evaluators agree. In this research, we...

Due to the increase in data and software tools, need for programmers analysts has risen United States during 21st century. As a result, more students are enrolling Computer Science, Information Technology, Data Science programs nationwide. However, switching online blended learning using cyberlearning tools have presented new challenges student learning, retention, program success. One way overcome these improve achievement is implement evidence-based pedagogical strategies innovative...

Objective. The objective of our current study was to look for the EEG correlates that can reveal engaged state brain while undertaking cognitive tasks. Specifically, we aimed identify features could detect audio distraction during simulated driving. Approach. Time varying autoregressive (TVAR) analysis using Kalman smoother carried out on short time epochs data collected from participants as they undertook two driving TVAR coefficients were then used construct all pole model enabling...

The problem of finding and evaluating effective ways integrating software testing concepts related techniques into introductory programming courses is still an open research question. In this paper, we present multiple studies that assess our approach to in Computer Science (CS) Software Engineering (SE) courses. Each study uses SEP-CyLE (Software Programming Cyberlearning Environment), external, web-based learning tool help instructors integrate their These empirical were conducted eight...

Reductionism lies at the heart of science, yet this pre-occupation with trees may mean that cognitive science is missing forest. Based on assumption individual and perceptual processes interact to form bottle-necks processing, which, in turn, have measurable detrimental effects human performance, whole-head continuous EEG was recorded as participants undertook baseline, mild load heavy tasks. Behavioral measures (reaction times error rates) showed significant performance decrements between...

Abstract Identifying the integrative aspects of brain structure and function, specifically how connections interactions among neuronal elements (neurons, regions) result in cognition behavior, is one last great frontiers for scientific research. Unraveling activity brain's billions neurons they combine to form functional networks has been remains restricted by both technological ethical constraints; thus, researchers are increasingly turning sophisticated data search techniques such as...

Abstract Mining dynamic and non-trivial patterns of interactions functional brain networks has gained significance due to the recent advances in field computational neuroscience. Sophisticated data search capabilities, advanced signal processing techniques, statistical methods, complex network graph mining algorithms unfold discover hidden supported with efficient visualization techniques are essential for making potential inferences results obtained. Visualization change activity during...

The complex nature of neuronal interactions the human brain has posed many challenges to research community. To explore underlying mechanisms activity cohesive regions during different cognitive activities, innovative mathematical and computational models are required. This paper presents a novel Common Functional Pattern Mining approach demonstrate similar patterns due common behavior certain regions. electrode sites EEG-based functional network modeled as set transactions node-based...

Conceptual teaching-learning process in engineering disciplines fosters a deep understanding of content and facts leverages students' domain knowledge to solve real-world problems. Combined with high-impact practices collaborative/joint teaching Engineering Design Project (EDP), this enables students apply captured expertise skills team-based project settings. Many conventional instructional methods for EDP are less effective because little consideration is given conceptual learning,...

Node-based social network analysis (SNA) techniques can be used to investigate the significance of actors that play central roles in networks where nodes represent people, teams or stakeholders and links communication, information exchange collaboration between these (actors). This research investigates how collaborative problem-solving help students' learning process. We analyzed discussion board data collected from online student discussions on Canvas, a Learning Management System (LMS),...

Software metrics provide a means for software practitioners to assess the quality of their software. Ideally, this information should be available earlier in development lifecycle, since changes are much more expensive incorporate later stages. Design level offer an elegant way capturing information. Research design has focused primarily on procedural and object oriented However, such currently not Aspect Oriented Development (AOSD), which is emerging paradigm. Programming (AOP) approach...

Clustering similar entities in relational tables is an open challenge to the research community due representation of transactional data as where relationships between two or more are difficult represent. This paper uses a graph-based modeling approach called Transaction Pattern Graph Miner (TP-GraphMiner) identify clusters based on similarities attributes transactions. It explores socio-centric analysis that aims at educational decision-making processes such identifying relative engagement...

Programming is a skill, often acquired through repeated practice and feedback. During traditional lectures, students not actively engaged in their own learning. It imperative to pique motivation direct focus on gaining the requisite knowledge. As class size grows, instructors feedback delayed that impacts student engagement Educational researchers have supported using web-based tools help evaluate work, provide timely increase amount of time they spend improving skills. Motivated by previous...

Ambiguous requirements are problematic in requirement engineering as various stakeholders can debate on the interpretation of leading to a variety issues development stages. Since specifications usually written natural language, analyzing ambiguous is currently manual process it has not been fully automated meet industry standards. In this paper, we used transfer learning by using ULMFiT where pre-trained our model general-domain corpus and then fine-tuned classify vs unambiguous (target...