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The chapter explores the value of dialogue and the dialogic for developing student and staff agency, “voice” and ethics in the context of a first-year undergraduate module of the BA Hons Education Studies, an undergraduate course at The Sir John Cass School of Art, Architecture and Design and a Postgraduate Certificate of Learning and Teaching in Higher Education module, at London Metropolitan University, United Kingdom. The authors take a case study approach, making use of Freire’s ideas of critical pedagogy, to reflect on their personal learning and teaching experience as well as the feedback received from students and staff. The aim of the chapter is to explore how to empower (non-traditional) students and staff – and bridge the gap between students’ and teachers’ understanding of what this might entail. Rather than trying to bring students “up to speed” to prepare them for successful study and a professional career, or better “train” staff to deliver policy and strategy, we argue that we need to welcome them for the people they are as we help them to navigate a Higher Education system in need of humanizing.

Customised executive education, designed for and delivered to individual client companies by Higher Education Institutions (HEIs), differs in important ways from award-bearing courses. One area in which these differences are surprisingly extensive is in the use of technology. We explore the impact of technology-enhanced learning (TEL) on course design, delivery and evaluation of customised executive education. In doing so, we contrast this form of learning with MOOCs, which use TEL in a different way, for a different audience.

We begin with the ‘two-client’ problem. In customised executive programmes, course design is done collaboratively between the HEI and the corporate client, reflecting the particular learning needs of the selected participants as perceived by the commissioning client. We find that the level of TEL in any programme will reflect the learning needs, and also the level of TEL sophistication, of both client and academics.

We then consider the successful integration of TEL into customised executive education. TEL can enrich a course great, but will also mean a loss of academic control, as a significant amount of the learning will be peer-to-peer, and much of the information-gathering can take place outside the classroom.

We conclude with the outcomes and success measures of customised executive education. The institutional disruption of TEL to the HEI is considerable, as their traditional business model is based on rewarding academics for research and for classroom-hours. This needs to be rethought where the classroom element is reduced, but there is constant online interaction with participants.

We use student-level online resource usage data for students in four different introductory accounting courses to explore the impact on exam performance of both student study effort and students’ revealed preferences for reading text or watching video lectures. The online learning tool tracks student study choice (read text, watch video, or skip) on a paragraph-by-paragraph level. We match these usage data with student performance on course exams. We find that students who study more material earn higher exam scores than do students who study less material. We also find that students who self-select to do relatively more of their studying through reading text score higher on exams, on average, than do students who self-select to do relatively more of their studying through watching videos. Specifically, holding the overall amount of study constant, a student who chooses to spend the highest fraction of her or his study time watching video mini lectures earns exam scores 10 percentage points lower (six-tenths of a standard deviation) than a student who chooses to spend the lowest fraction of study time watching videos. Our results demonstrate that at least for introductory accounting students, increased study effort does indeed have a positive impact on exam performance. Our evidence also suggests that the highest performing introductory accounting students choose to learn accounting proportionately more through reading than through watching. These results are a reminder that when we talk about using “technology” to help our students learn accounting, the written word is still an important technology.

Introduction: Traditional recruitment system relied heavily on the applicants’ curriculum vitae (CV). This system, besides becoming redundant, has proved to be a futile exercise leading to the hiring of candidates that eventually turn out to be ‘misfits’. CVs were the only source of candidates’ data available for the recruiters a few years back. Face-to-face interviews was considered to be the ultimate solution for hiring suitable candidates. However, evidence suggests that interview scores and job performances do not complement each other. Advancement in artificial intelligence (AI) has introduced several techniques in the recruitment process.

Purpose: This chapter underscores the drawbacks of the traditional recruitment process. Evidence suggests that the traditional recruitment process is prone to subjectivity and is time-consuming. Surprisingly, despite the disadvantages, the integration of AI into the recruitment process is still slow. This chapter highlights the need to harness AI and the advantage technology could bring to the recruitment process. Some of the techniques that are garnering attention and widely used by organisations, such as chatbots, gamification, virtual employment interviews, and resume screening are described to enable the readers to understand with less effort. Chatbots and gamification techniques are described through process flow charts. We also describe the various types of interviews that could be conducted through virtual platforms and the modality by which the resume screening technique operates. Today, we are at a juncture wherein it is pertinent to acknowledge the superiority of technology-driven processes over traditional ones. This chapter will help the readers to understand the modus operandi to implement chatbots, gamification, virtual interviews and online resume screening techniques besides their advantages.

Scope: Although chatbots, resume screening, virtual interviews, and gamification are used in other areas, too, such as training and development, marketing, etc., in this chapter, we restrict solely to employee recruitment processes.

Methodology: Scoping review is used to examine the existing literature from various databases such as Google Scholar, IEEE, Proquest, Emerald, Elsevier, and JSTOR databases are used for extracting relevant articles.

Findings: Automation and analytics in recruitment and selection remove bias which is otherwise increasingly found in manual hiring processes. Also, previous studies have observed that candidates engage in impression management tactics in traditional face-to-face interviews. However, through automated recruitment processes, the influence of these tactics can be eliminated. AI-based virtual interviews reduce human bias. It also helps recruiters to hire talents across the globe. Gamification improves the candidate’s perception of the work and work environments. Through gamified techniques, the recruiters can understand whether a candidate possesses the required job skills. Chatbots are an interactive technique that can respond to interviewees’ queries. Resume screening techniques can save the recruiter’s time by screening and selecting the most appropriate candidates from a large pool. Hence, the chosen candidates alone can be referred to the next stage of the recruitment cycle. AI improves the efficiency of the recruitment process. It reduces mundane tasks. It saves time for the human resources (HR) team.