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Online, distance, and eLearning (ODeL) continue to gain recognition as a mandatory component of delivery of education in institutions of higher learning (IHL) around the world following the outbreak of coronavirus disease (COVID-19). This paradigm shift is informed by the need to ensure uninterrupted, valuable, and safe learning experiences for learners during the pandemic. However, governments ordered the closure of schools and colleges following the declaration of COVID-19 as a world pandemic by the World Health Organization (WHO). A report by United Nations Educational, Scientific and Cultural Organization revealed that there was a significant loss of schooling time following the closure of educational facilities which affected over 1.5 billion learners in 194 nations globally. This study explored the use of online approaches to intensify online learning efficacy in IHL. Data collection was conducted using qualitative methods and data analysis done using themes and sub-themes. Findings from this study indicate that students’ engagements on discussion forums are consistent with collaborative learning. Results further support the view that regular, prompt, and meaningful feedback is critical in promoting constructive learning and reflection among students. Based on the findings of this study, practical implications are discussed for stakeholders interested in establishing and strengthening effective delivery of online learning content to enhance students’ learning experiences.

A review of publications in teaching and teacher education over 10 years (2000–2010) on teacher professional development is the subject of this chapter. The first part synthesises production referred to learning, facilitation and collaboration, factors influencing professional development, effectiveness of professional development and issues around the themes. The second part selects from the production nine articles for closer examination. The chapter concludes by noting how the production brings out the complexities of teacher professional learning and how research and development have taken cognizance of these factors and provided food for optimism about their effects, although not yet about their sustainability in time.

In this chapter the authors explore some drivers of entrepreneurial intentions using the theory of planned behaviour on a sample of Italian students. Our objective is twofold. First, the study investigates if both perceiving that becoming an entrepreneur is risky and having non-financial career motivations affect university students’ entrepreneurial intentions. Second, it investigates if students’ perception that university education has an effect on their entrepreneurial skills and attitudes and their perception that the university favours and supports entrepreneurship moderate the relationship between cognitive antecedents of intentions (i.e. attitudes, norms and control) and entrepreneurial intentions. This chapter presents an analysis of a sample of more than 1,500 students from the University of Padova (Italy). According to the national ranking, this University – which is one of Italy’s oldest and largest universities – has been classified as the one with the best Faculty of Economics and Statistics in terms of teaching for more than 10 years among 45 Italian public universities. Data from the Global University Entrepreneurial Spirit Students’ Survey (GUESSS) carried out in 2013 was used. Our analysis highlights not only on the importance of individual characteristics, but also on the role of the learning experience students have during their university studies. This means that it is important to consider how much students perceive that their university education has an effect on entrepreneurial skills and attitudes.

As educational institutions continue to call for greater accountability and learning outcomes take center stage, faculty, administrators, and institutions alike must assume a broader, more holistic approach to teaching and learning. As outlined in this chapter, technology and virtual spaces, when utilized well, can radically shift how graduate faculty can help doctoral students become critical and reflective thinkers, to develop or refine a professional identity, and help them to transform their assumptions about their knowledge and about themselves, a process that Kegan (1994) and Baxter Magolda (1999) call self-authorship. Using digital narratives as part of a technology-mediated classroom that is built around learning partnerships and principles of self-authorship is one way to accomplish this. Such an approach can lead to innovative practices in the classroom, deeper, more reflective learning for students, and greater overall success for our institutions. By combining multimedia tools and technology with an adult learning-centered pedagogy built around self-authoring practices of student development, faculty can more effectively organize doctoral education to engage and involve students in the process and to truly cultivate a new generation of doctoral students as scholars, researchers, and practitioners.

The outbreak of the COVID-19 pandemic forced many educational institutions to move face-to-face education to entirely online education. This digital transformation has, in turn, reinforced the digital divide between learners who have easy access to digital devices and the Internet and other learners who do not have those. In addition to the digital divide, the differences in their genders and educational levels potentially impact leveling up learning. Therefore, the study in the present chapter has aimed to examine university-level sophomore and junior students’ differences in learning online during the COVID-19 pandemic in terms of gender, educational level, and the digital divide. Data from a survey indicate that both females and males, and sophomores and juniors had different attitudes toward using digital devices, attending virtual classes and accessing online courses through the mobile phone or the home Internet. Based on the findings on their differences, the chapter makes some implications and recommendations for policymakers, course designers and teachers in the course design, especially in the emergence.

Team cognition research continues to evolve as the need for understanding and improving complex problem solving itself grows. Complex problem solving requires members to engage in a number of complicated collaborative processes to generate solutions. This chapter illustrates how the Macrocognition in Teams model, developed to guide research on these processes, can be utilized to propose how intelligent tutoring systems (ITSs) could be developed to train collaborative problem solving. Metacognitive prompting, based upon macrocognitive processes, was offered as an intervention to scaffold learning these complex processes. Our objective is to provide a theoretically grounded approach for linking intelligent tutoring research and development with team cognition. In this way, team members are more likely to learn how to identify and integrate relevant knowledge, as well as plan, monitor, and reflect on their problem-solving performance as it evolves. We argue that ITSs that utilize metacognitive prompting that promotes team planning during the preparation stage, team knowledge building during the execution stage, and team reflexivity and team knowledge sharing interventions during the reflection stage can improve collaborative problem solving.

The ALS is a theoretically driven approach to the design of integrated-embedded training systems that is highly flexible and offers ease of implementation. It operates by exerting leverage on foci of the self-regulation system, which recent research has demonstrated to be central to learning and performance for difficult, complex, and dynamic tasks. The training strategy incorporated in the ALS constructs instructional interventions by combining specific training components that affect different aspects of the SRS. By designing synergistic combinations, instructional interventions can be tailored to the developmental progress of trainees and can enhance learning, performance, and adaptability.Our research will target those training components that offer the greatest practical and theoretical potential for improving complex skill acquisition, and the enhancement of adaptive capabilities. By building on existing principles of training design (e.g. mastery goals, sequencing), and examining promising new ideas (e.g. information, interpretation) that are likely to be key capabilities of the next generation of advanced technology systems, the research is expected to yield new principles of training design uniquely suited for the design of integrated-embedded training systems.

This paper covers different types of research designs, like, longitudinal, cross-section and sequential design, experimental design (including factorial experimental design), and correlational design, with illustrative examples. This paper will help a scholar to know how choice of research design depends on a number of parameters, highlighted by author.