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The world of learning and teaching is at a watershed; confronted by challenges to previous educational models. One learning future lies in impactful, purposeful, active online activities, or 'e-tivities', that keep learners engaged, motivated, and participating. Grounded in the author's action research, E-tivities, 2nd Edition assuredly illustrates how technologies shape and enhance learning and teaching journeys. In this highly practical book, Gilly Salmon maintains her exceptional reputation, delivering another powerful guide for academics, teaching professionals, trainers, designers and developers in all disciplines. This popular text has been comprehensively updated; addressing key technological changes since 2002, offering fresh case studies and 'Carpe Diem' - a unique approach to learning design workshops. Readers will find E-tivities, 2nd Edition a wonderful resource on its own or as a companion to the author's bestselling e-Moderating, 3rd Edition. Find e-tivities on the web at e-tivities.com or connect at gillysalmon.com

Digital technology has become a central aspect of higher education, inherently affecting all aspects of the student experience. It has also been linked to an increase in behavioural, affective and cognitive student engagement, the facilitation of which is a central concern of educators. In order to delineate the complex nexus of technology and student engagement, this article systematically maps research from 243 studies published between 2007 and 2016. Research within the corpus was predominantly undertaken within the United States and the United Kingdom, with only limited research undertaken in the Global South, and largely focused on the fields of Arts & Humanities, Education, and Natural Sciences, Mathematics & Statistics. Studies most often used quantitative methods, followed by mixed methods, with little qualitative research methods employed. Few studies provided a definition of student engagement, and less than half were guided by a theoretical framework. The courses investigated used blended learning and text-based tools (e.g. discussion forums) most often, with undergraduate students as the primary target group. Stemming from the use of educational technology, behavioural engagement was by far the most often identified dimension, followed by affective and cognitive engagement. This mapping article provides the grounds for further exploration into discipline-specific use of technology to foster student engagement.

There is wide agreement that teacher professional development (TPD) is a necessary element in educational change, especially for the more effective application of technology to enhance learning. The research literature reports many examples of successful TPD but there remain many challenges to wider and deeper success in the variety of different contexts. Discussion by the thematic working group on TPD at EDUsummIT 2015 in Bangkok identified several challenges to successful TPD. This paper discusses those challenges, describes four cases of successful TPD from varied contexts, and derives a model for TPD based on observed commonalities in the cases.

Background The number of resources available to medical students studying a degree in medicine is growing exponentially. In addition to traditional learning resources such as lectures and textbooks, students are increasingly using e-learning tools like commercially available question banks to supplement their learning. Student preference for learning resources has not been described in detail, and a better understanding of the tools perceived to be useful could provide essential information to medical educators when designing and implementing medical curricula. Methods We invited 1083 undergraduate and postgraduate medical students from two major Australian universities to complete an online survey. Questions asked students to indicate the frequency with which they use various types of resources when learning new material or when revising previous content. Results Approximately one third (32.3%, N  = 350) of invited participants completed the survey, and of those who responded, the gender distribution was even with a median age of 25 years. Making written notes and reading textbooks were the most frequently utilized resources for learning new material. Online or downloaded question banks were the most frequently used resource for revision. In addition to the use of traditional learning tools, the majority of students report using a variety of e-learning tools including online teaching videos (92%, n  = 322) and question banks (90.6%, n  = 317). Conclusion Despite the trend towards e-learning, traditional resources like attendance at face-to-face lectures remain the most popular for learning new material. The increasing use of question banks raises potential issues of poor alignment to medical school curricula. With the advantages of exam technique practice, time efficiency and multiplatform availability, their popularity is likely to continue. Evaluation of existing question banks is required to facilitate appropriate integration into the curricula, with equitable access for all students.

The recent high performance of ChatGPT on several standardized academic tests has thrust the topic of artificial intelligence (AI) into the mainstream conversation about the future of education. As deep learning is poised to shift the teaching paradigm, it is essential to have a clear understanding of its effects on the current education system to ensure sustainable development and deployment of AI-driven technologies at schools and universities. This research aims to investigate the potential impact of AI on education through review and analysis of the existing literature across three major axes: applications, advantages, and challenges. Our review focuses on the use of artificial intelligence in collaborative teacher–student learning, intelligent tutoring systems, automated assessment, and personalized learning. We also report on the potential negative aspects, ethical issues, and possible future routes for AI implementation in education. Ultimately, we find that the only way forward is to embrace the new technology, while implementing guardrails to prevent its abuse.

This study utilised students' online engagement, digital technology attitude, digital literacy, and self-efficacy theories to develop and test a model connecting these factors within a regional university in Australia. A field survey collected data from 110 first-year students. AMOS 28 was employed for measurement and structural model path analysis. The study initially examined the impact of students' attitudes and digital literacy on their self-efficacy. Subsequently, the effects of self-efficacy on five dimensions of online engagement were assessed: social, collaborative, cognitive, behavioural, and emotional. The findings indicated that positive student attitudes and digital literacy significantly contributed to self-efficacy, which, in turn, positively affected the engagement dimensions. This suggests that when designing and facilitating online, blended, or technology-enhanced courses in higher education, educators should pay attention to various elements of engagement. The study highlights the importance of considering students' attitudes and digital literacy in fostering self-efficacy and enhancing online learning engagements. Further research and implications for future studies are also recommended.

In various research areas, the availability of open datasets is considered as key for research and application purposes. These datasets are used as benchmarks to develop new algorithms and to compare them to other algorithms in given settings. Finding such available datasets for experimentation can be a challenging task in technology enhanced learning, as there are various sources of data that have not been identified and documented exhaustively. In this paper, we provide such an analysis of datasets that can be used for research on learning and knowledge analytics. First, we present a framework for the analysis of educational datasets. Then, we analyze existing datasets along the dimensions of this framework and outline future challenges for the collection and sharing of educational datasets.

Mobile devices have become attractive learning devices for education. While the majority of the existing research has focused primarily on the value of mobile learning for students, researchers have recently started exploring its potentials within teacher development. The present qualitative synthesis of quantitative and qualitative research aimed to address trends and gaps observed in the literature regarding the integration of mobile learning into teacher education. Six main findings emerged: (a) there is an increasing trend in integrating mobile learning in teacher education contexts; (b) theoretical and conceptual perspectives are scarcely reported; (c) variations exist in perceptions, attitudes and usage patterns; (d) engagement with mobile learning and devices is primarily reported as being beneficial; (e) challenges were scarcely reported; and (f) several pedagogical affordances support mobile learning integration into teacher education settings. These findings have been interpreted to determine their implications on the development of mobile learning experiences in teacher education, including programmatic directions for integration and study.

The COVID-19 pandemic produced widespread disruption to schooling, impacting 90% of the world's students and moving entire school systems to remote and online learning. In the state of New South Wales, Australia, most students engaged in learning from home for at least eight weeks, with subsequent individual and intermittent school closures. However, while numerous claims have circulated in the popular media and in think tank reports, internationally, about the negative impacts on learning, there is limited empirical evidence of decreased student achievement. Drawing on data from more than 4800 Year 3 and 4 students from 113 NSW government schools, this paper compares student achievement during 2019 and 2020 in a sample of matched schools to examine the effects of the system-wide disruption. Somewhat surprisingly, our analysis found no significant differences between 2019 and 2020 in student achievement growth as measured by progressive achievement tests in mathematics or reading. A more nuanced picture emerges when the sample is examined by dis/advantage (ICSEA) and Year level. The Year 3 cohort in the least advantaged schools (ICSEA < 950) achieved 2 months less growth in mathematics, while the Year 3 students in mid-ICSEA schools (950-1050) achieved 2 months' additional growth. No significant differences were identified for Indigenous students or students located in regional locations. These results provide an important counter-narrative to widespread speculation about alarming levels of 'learning loss' for all students. While the lower achievement growth in mathematics for Year 3 students in lower ICSEA schools must be addressed as a matter of urgency to avoid further inequities, most students are, academically, where they are expected to be. Our findings are a testament to the dedicated work of teachers during the 2020 pandemic to ensure that learning for most students was not compromised, despite unusually trying circumstances. [Author abstract]