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This study sought to determine the effect of class size on the evaluation of teaching effectiveness for on‐line courses using a standard student evaluation survey instrument. The data set consists of all MBA courses taught online during an academic year at a large, regional Midwestern university in the U.S. Several simple regression analyses are performed with class size as the independent variable. Dependent variables analysed were global course effectiveness and summated indices representing “building blocks” of online effectiveness. These include course content, instructor support, course structure, student‐to‐student interaction and instructor to‐student interaction. Results indicate no significant relationship between class size and global course effectiveness. In addition, class size showed some significance in predicting instructor support and course structure. Unexpectedly the direction of this association was positive suggesting that larger classes lead to higher levels of instructor support and greater perceived course structure. A comparison to traditional courses is also provided.

This book centers on several key areas of social engagement and social learning in higher education today, including social networking platforms and e-portfolios. In addition to these Web 2.0 technologies, rapid improvements in related communication technologies (e.g., broadband services, wireless, mobile phones, and tablets) have also provided the necessary infrastructure components by which educators implement innovative teaching and learning practices on a larger scale, in a more reliable manner, and in a more targeted fashion. These technologies are also transforming our views of what it means to learn in an increasingly globalized, interconnected, and pluralistic world. The authors have presented several perspectives on how to use social networking tools to better engage learners in more meaningful and authentic learning activities. Social networking sites like Facebook are not a panacea for effective learning, but they do provide instructors and students with a convenient platform for enhancing the teaching and learning process. Instructors also play an important part in modeling proper online behavior through their presence on the platform and their interaction with their students. However, these tools are only one piece of the learning puzzle. The ultimate goal is to enable students to become lifelong learners and to instill in them a high value for learning that matures over their lifetime. As such, these tools can be used to better engage students more deeply in authentic and personally meaningful learning experiences.

Contextualizing grammar in second language (L2) classrooms implies making grammar constructs relevant to the learners’ world; affording learners the opportunities to better comprehend and apply these concepts in their own milieus. This instructional design (ID) has been devised to contextualize grammar and to explore learner engagement of pre-service English teachers through Computer-Aided Learning (CAL) and Task-based Learning (TBL) in a technology-driven learning environment. CAL encompasses technology-aided discussions, multi-media presentations, online tests and exercises, and social media deployment. TBL, on the other hand, contextualizes grammar using technology and social network in planning, executing, and presenting four assigned tasks: picture essay, brochure design, dialogue composition, and comic strips illustration. Facebook is the e-portfolio of the class, archiving all group and individual output. The CAL-TBL tandem is propelled by group initiatives and class collaboration evident in group discussions and planning, microteaching, task presentations, peer reviews, and self-evaluations. These initiatives engage learners; empowering students to collaboratively take active part and responsibility for their own learning. The three-hour-class meets every week in a computer laboratory. The post-semester feedback and online poll course design review as well as the University Course Evaluation comments have shown that the ID, from the learners’ perspective, is effective in contextualizing grammar and in engaging learners.

Since the declaration of COVID-19 as a pandemic in March 2020, higher education institutions (HEIs) across the globe have shifted – entirely or partly – to online teaching and learning; Lebanese HEIs were no exception. Such an unprecedented and “forced” transition to online teaching and learning has created a landscape for scholars and researchers to inquire into the efficiency and effectiveness of online teaching and learning, students’ satisfaction with this virtual educational experience, and instructors’ satisfaction with such an experience. This chapter presents a study about Lebanese instructors’ satisfaction with online teaching and learning during the pandemic. Instructors’ satisfaction was measured in terms of three satisfaction constructs of psychometrically validated “Online Instructor Satisfaction Measure” (OISM): instructor-to-student interaction (ISI); student-to-student interaction (SSI); and course design, development, and teaching (CDT). Data were collected through an online questionnaire from 102 Lebanese instructors across 7 Lebanese universities: 6 private universities and the national public Lebanese higher education institute (Lebanese University). This study found that there were no significant changes between the satisfaction levels in relation to each of the ISI, SSI, and CDT constructs between STEM education background instructors and their non-STEM education background counterparts. Despite their dissatisfaction with the level of interaction between them and their students (ISI), the participating Lebanese instructors were satisfied with the SSI, except for students’ collaborative and group work, and were also satisfied with the CDT, except for the preparation time required for delivering an online course.

The purpose of this paper is to take a professional service operation (PSO) perspective to reconceptualise a persistent pedagogical dilemma of teaching large classes into a process design challenge. This enables developing a solution that reduces labour intensity and improves the customisation of teaching.

This work is based on a single-case analysis of an undergraduate operations management course taught at a UK-based global top-50 business school. The research process follows the design science approach where a prior course design is analysed and a redesign is presented, refined and tested using data on student satisfaction.

The course redesign is based on the flipped learning pedagogy, and uses a combination of process analysis and educational science perspectives. The redesign seems to provide the benefits to students without increasing labour intensity. The developed six-step systematic approach should reduce the labour intensity of university-level teaching operations, while providing additional possibilities for customisable in-class active learning.

The empirical findings from the single-case design cannot be directly generalised to other contexts. However, the developed six-step systematic approach for redesigning the university-level teaching process should be applicable to other teaching operations to drive value creation and improve processes.

This study shows how the resource-constrained value creation of teaching operations can be improved systematically using process analysis perspectives. The work also scrutinises the flipped learning pedagogy from a PSO perspective and shows its benefits for improving teaching operations compared to traditional lecturing.

This chapter provides researchers and practitioners with guidelines for employing wikis to foster collaboration and active learning within and between student teams in higher educational settings. The core function of a wiki is to facilitate learner interaction with content. Such engagement is critical whether the course's instructional delivery environment is primarily face-to-face or web-based. Instructors encourage shared understanding through a spirit of investigation that embraces greater collaboration in the process. Collaboratively building knowledge about one content area by dialoguing with peers and negotiating importance in order to present the information in a meaningful way to the public is the strongest aspect of a wiki. To illustrate this, five case studies are detailed ranging from individual wikis to group consensus wikis in undergraduate and graduate-level courses, delivered in blended (i.e., hybrid combinations of face-to-face and online) and online asynchronous environments. As a whole, these studies support that wikis are not the single answer to all problems associated with collaboration and shared-knowledge in any learning situation, but they are a powerful lens for greater clarity in issues of student engagement and may lead to improved performance for diverse learners. Various experts add their views to those of the authors of this chapter; that to be effective, instructors must design purposeful engagement that embraces communication, cooperation and collaboration, active learning, feedback, and respect for differences. Likewise, students must be informed of the value of such engagement and have positive wiki models presented early in their online experiences.

The purpose of this paper is to reveal how support services for open and distance students are designed, developed and implemented to ensure successful learning to take place, with specific references to the Open University of Sri Lanka (OUSL) and Universitas Terbuka (UT) Indonesia. Success in distance learning is one major challenge for open universities to respond to expectations of students and stakeholders. This study focuses on the strategies of student support services in OUSL and UT, investigating related factors including instructional design and development, learning engagement and motivation, policy and strategy in reducing dropouts, use of OER/MOOCs, and quality assurance.

A qualitative study was employed involving analyses of documents; interviews and focus group discussion with senior administrators, academic staff, students; and on-site observation in locations of teaching and learning.

This research is exploratory in nature. Findings of the study are expected to improve our understanding of student support in distance learning, in which analysis is based on good practices, challenges and rooms for improvement of both OUSL and UT.

Findings of this study reveal practices and lessons learnt that may be useful as reference to open universities, taking into considerations the fact that each open university has been established to address specific challenges in its own unique circumstances.

This research may be adopted as baseline framework for analysis of student support for open universities. Further in-depth study is needed to understand how various aspects of student support contribute to success in open and distance learning.

It is estimated that nearly 2 billion world population is now living in countries affected by extreme forms of violence, war, and criminal activities (World Bank, 2016). Apart from being affected by war and having higher poverty rates, millions are affected by climate-related disasters, pandemics which have destroyed livelihoods and lives. In 2011 and 2012 alone, more than 450 million individuals faced environmental crises (Blankespoor et al., 2010; Laframboise & Loko, 2012). Human rights advocates that every individual has the right to live with dignity and respect. International agencies are trying their best to ensure that everyone, and mainly the vulnerable communities, gets assistance in a manner that is consistent with human rights and includes the right to participation and non-discrimination. One such right is the right to education, a right which has been articulated in numerous conventions and documents and has been a part of policy maker’s debate. In emergency situations, whether man-made or a natural disaster, students face an acute crisis of accessing higher education, even when the country is limping back to normalcy. The book Higher Education in Emergencies: International Case Studies discusses the impact of the COVID-19 pandemic on teaching and learning practice in higher education in different countries and highlights the cultural transformation of policy and practice. In addition, the authors propose future directions on how to be prepared and address the challenges of emergencies and draw implications of their findings beyond the national context.

The purpose of this paper is to examine existing learning innovation systems and propose a systematic methodology of delivering educational innovations in the right amount, in the right place and at the right time.

Higher education is not effectively incorporating new discoveries in cognitive science and human learning into effective teaching strategies. In this paper, the authors explore the various impediments to change. To partially overcome these barriers, Drexel University, in collaboration with Untra Academic Management Solutions, LLC, has embarked on the development of a knowledge management system to assist instructors in obtaining, implementing, evaluating and disseminating new educational innovations. The system as envisioned would be capable of adapting to various educational environments and evolving with changes in curricula, faculty expectations, learning outcomes and student characteristics.

The SocraticNet as a learning environment is stimulated, based on Socratic inquiry among teachers and learners. It is an interactive social network system utilising Web 2.0‐based emerging technologies fostering communication and sharing among faculty, students and others (e.g. librarians) engaged in a particular course or other educational experience. Students learn by sharing what they know, by asking questions, judging and evaluating the retrieved information, and using this information efficiently in completing their assignments or research papers. This approach results in multidimensional information flow – instructor to instructor, instructor to student, student to instructor, student to student – which adds a new richness to the interactions between faculty and students providing the framework for a true learning community.

The present work has been conducted at one institution. This can be extended to include more institutions and tried with different disciplines. There are implications for changes in relation to teaching and learning approached adopted in higher education and also for development of technology tailored to address issues emanating from the scenario.

The research work presented has the potential to stimulate debate to further develop and refine thinking on the role and use of technology directed at improving teaching and learning in higher education.

This paper examines learning and teaching styles in higher education taking cognizance of conditions and factors impeding new innovations in practice. Details discussions are presented and unique suggestions are made.

This study aims to uncover divergent collaboration in makerspaces using social network analysis to examine ongoing social relations and sequential data pattern mining to invesitgate temporal changes in social activities.

While there is a significant body of qualitative work on makerspaces, there is a lack of quantitative research identifying productive interactions in open-ended learning environments. This study explores the use of high frequency sensor data to capture divergent collaboration in a semester-long makerspace course, where students support each other while working on different projects.

The main finding indicates that students who diversely mix with others performed better in a semester-long course. Additional results suggest that having a certain balance of working individually, collaborating with other students and interacting with instructors maximizes performance, provided that sufficient alone time is committed to develop individual technical skills.

These discoveries provide insight into how productive makerspace collaboration can occur within the framework of Divergent Collaboration Learning Mechanisms (Tissenbaum et al., 2017).

Identifying the diversity and sequence of social interactions could also increase instructor awareness of struggling students and having this data in real-time opens new doors for identifying (un)productive behaviors.

The contribution of this study is to explore the use of a sensor-based, data-driven, longitudinal approach in an ecologically valid setting to understand divergent collaboration in makerspaces. Finally, this study discusses how this work represents an initial step toward quantifying and supporting productive interactions in project-based learning environments.