A Predictor for PLE Management: Impacts of Self- Regulated Online Learning on Students’ Learning Skills

Web 2.0 integration requires a high level of learner-centered skills to create a personal learning environment (PLE). The pedagogical capability of Web 2.0 could support and promote self-regulated learning (SRL) by enabling the constructions of PLEs. This study investigated how will each of the six aspects of self-regulated online learning (i.e., environment structuring, goal setting, time management, task strategies, help seeking, & self-evaluation) respectively predict the level of initiative, the sense of control, and the level of self-reflection in personal learning environment (PLE) management. The study concluded that all six aspects of SRL could predict three types of PLE management besides environmental structuring to the level of initiative. Educators need to prepare all learners to advance their SRL to achieve sufficient PLE skills and knowledge to become competent digital network learners

A Predictor for PLE Management: Impacts of Self-Regulated Online Learning on Student\u27s Learning Skills

Web 2.0 integration requires a high level of learner-centered skills to create a personal learning environment (PLE). The pedagogical capability of Web 2.0 could support and promote self-regulated learning (SRL) by enabling the constructions of PLEs. This study investigated how will each of the six aspects of self-regulated online learning (i.e., environment structuring, goal setting, time management, task strategies, help seeking, & self-evaluation) respectively predict the level of initiative, the sense of control, and the level of self-reflection in personal learning environment (PLE) management. The study concluded that all six aspects of SRL could predict three types of PLE management besides environmental structuring to the level of initiative. Educators need to prepare all learners to advance their SRL to achieve sufficient PLE skills and knowledge to become competent digital network learners

Assessment and Learning in Knowledge Spaces (ALEKS) Adaptive System Impact on Students\u27 Perception and Self-Regulated Learning Skills

Adaptive learning is an educational method that uses computer algorithms and artificial intelligence (AI) to customize learning materials and activities based on each user\u27s model. Adaptive learning has been used for more than 20 years. However, it is still unique, and no other system could bring more or even similar capabilities than the ones adaptive technology offers, including the application of AI, psychology, psychometrics, machine learning, and providing a personalized learning environment. However, there are not many studies on its practicality, usefulness, improving students\u27 learning skills, students\u27 perception, etc., due to the limited number of institutes investing in this new technology. This paper presents the results of administering the newly developed Adaptive Self-regulated Learning Questionnaire (ASRQ) in an adaptive learning course equipped with the ALEKS (Assessment and Learning in Knowledge Spaces) system to study the amount of Self-regulated Learning Skills (SRL) score change, if any, of the students. The ASRQ was administered at the beginning and end of the semester as a pretest and posttest. Then, the quantitative Sample Paired t Test was run to measure the students\u27 SRL score change between the beginning and end of the semester. The results showed a significant decline in students\u27 SRL skills score while working with ALEKS. This paper also discusses the reasons for the considerable drop in SRL skills based on students\u27 perception and feedback collected through administering an open-ended survey at the end of the semester. The survey\u27s qualitative analysis showed various possible factors contributing to the decline of the SRL skills score, including lack of motivation, system complexity, hard penalty, lack of social presence, and lack of system practicality

Using Personal Learning Environment (PLE) Management to Support Digital Lifelong Learning

Personal Learning Environment is a promising pedagogical approach to integrate formal and informal learning in social media and support student self-regulated learning. The use of PLEs to support lifelong learning can be expanded to the formal, non-formal, or informal learning environments. This study empirically examined how PLE management predicted the use of PLE to support three types of lifelong learning (i.e., formal, non-formal, or informal learning). This study concluded that PLE management was predictive of each type of learning respectively. PLE is not only a technical platform but also a new digital learning literacy, conceptual space, pedagogical process, and social networks that enable and support learners to achieve their lifelong learning goals. While Open Educational Resources (OERs) are perceived as a solution for social justice in digital lifelong learning, PLE and Open Network Learning Environment are identified as the key pedagogy and instructional strategies to empower learners gaining network-learning literacy and becoming competent digital lifelong learners

A Predictive Study of Students’ Self-regulated Learning Skills and Their Roles in the Social Network Interaction of Online Discussion Board

Online learners’ learning skills and behaviors are challenging for educators to foresee, particularly what skills may be related to certain social interaction behaviors. Self-regulated learning (SRL) skills are critical to online learning. It is unclear how SRL skills may predict social network interaction. This study empirically investigated: How will SRL skills predict students’ network roles (i.e., in-degree, out-degree, betweenness centrality, closeness centrality, eigenvector centrality, reciprocated vertex pair ratio, & PageRank) in the social network discussions of discussion board within online courses? The predictive utility of SRL skills for betweenness and closeness centralities was supported. Learners with greater SRL skills play more influential roles in online discussion network. Learners with higher SRL skills tend to connect to others based on flow and distance of the connections, rather than how prominent (eigenvector) and prestigious (PageRank) of their connections

Online Accelerated Learning Experiences and Self-Regulated Learning Skills Amoung Undergraduate Students

Many institutions have adopted an online accelerated learning model in which intensive online instructions are offered during the course of a normal semester to help students complete classes. Current research has focused on comparing different instructional lengths. Mixed findings have been reported. Accelerated instructions are not necessarily superior or inferior to traditional 16-week instructions. Research should focus on what is crucial and how to prepare students to succeed in accelerated online courses. This study examines whether self-regulated learning (SRL) skills may serve as predictors of positive accelerated learning experiences. It concludes that five SRL skills can predict success in online accelerated learning experiences and suggested educators should identify and prepare students with relevant SRL skills prior to attempting accelerated instructions to warrant a positive learning experience

Advancing collaboration: best practices for cross-cultural communications in virtual environments [Innovation and digital technologies in Languages for Specific Purposes]

Higher education institutions are doing a disservice to their students if they are not training students in cross-cultural competencies. In this research, the authors surveyed respondents who have worked within educational and business-related globally distributed, cross-cultural/cross-language teams to learn of the ways teams communicate using technology in remote interactions. The researchers used content analysis of survey results to examine the data for patterns and assessment in how online connections allow multicultural/multilingual collaborators to work together in collaborative environments that include traditional and non-traditional communication styles while examining the environments for clear communication and accessibility for globally-distributed teams. Best practices emanated from the research and the literature are presented