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Legal education in the digital age
\"During the coming decades, the digital revolution that has transformed so much of our world will transform legal education as well. The digital production and distribution of course materials will powerfully affect both the content and the way materials are used in the classroom and library. This collection of essays by leading legal scholars in various fields explores three aspects of this coming transformation. The first set of essays discusses the way digital materials will be created and how they will change concepts of authorship as well as methods of production and distribution. The second set explores the impact of digital materials on law school classrooms and law libraries, and the third set considers the potential transformation of the curriculum that the materials are likely to produce. Taken together, these essays provide a guide to momentous changes that every legal teacher and scholar needs to understand\"
Book
Copyright and E-learning
Jane Secker and Chris Morrison have completely revised and updated this highly successful text to take into account recent developments in the field and changes to the law in the UK and elsewhere in the world. Through its practically based overview of current and emerging copyright issues facing those working in e-learning, this book will help equip professionals with the tools, skills and understanding they need to work confidently and effectively in the virtual learning environment with the knowledge that they are doing so legally. New and developing services, software and other technologies are being adapted for online learning environments to engage students and academic staff. These technologies present increasing challenges to IPR and legal issues and this book will help librarians and educators to meet them.
eBook
Cyber law
Concerned that the fast-evolving technology used to empower students also puts the school at risk? The legal issues that affect today's classrooms require a heightened awareness and understanding of Internet safety and cyber law. This timely reference is an essential overview for teachers, media specialists, and administrators covering legal issues related to Internet and technology use. Lawyer and educational policy expert Aimée M. Bissonette provides up-to-date research, jargon-free summaries of legal cases illustrating potentially risky classroom situations, and proactive strategies on: Privacy, security, copyright, liability, and safety Internet tools, social networking sites, cyberbullying, and appropriate online behavior The use of non-school electronics such as cell phones, handheld computers, and cameras With sample policies, procedures, permission forms, and contract language, Cyber Law turns complicated legal concepts into concrete ideas that will help schools act responsibly and anticipate new developments.
eBook
Tablet computer enhanced training improves internal medicine exam performance
Traditional teaching concepts in medical education do not take full advantage of current information technology. We aimed to objectively determine the impact of Tablet PC enhanced training on learning experience and MKSAP® (medical knowledge self-assessment program) exam performance.
In this single center, prospective, controlled study final year medical students and medical residents doing an inpatient service rotation were alternatingly assigned to either the active test (Tablet PC with custom multimedia education software package) or traditional education (control) group, respectively. All completed an extensive questionnaire to collect their socio-demographic data, evaluate educational status, computer affinity and skills, problem solving, eLearning knowledge and self-rated medical knowledge. Both groups were MKSAP® tested at the beginning and the end of their rotation. The MKSAP® score at the final exam was the primary endpoint.
Data of 55 (tablet n = 24, controls n = 31) male 36.4%, median age 28 years, 65.5% students, were evaluable. The mean MKSAP® score improved in the tablet PC (score Δ + 8 SD: 11), but not the control group (score Δ- 7, SD: 11), respectively. After adjustment for baseline score and confounders the Tablet PC group showed on average 11% better MKSAP® test results compared to the control group (p<0.001). The most commonly used resources for medical problem solving were journal articles looked up on PubMed or Google®, and books.
Our study provides evidence, that tablet computer based integrated training and clinical practice enhances medical education and exam performance. Larger, multicenter trials are required to independently validate our data. Residency and fellowship directors are encouraged to consider adding portable computer devices, multimedia content and introduce blended learning to their respective training programs.
Journal Article
The impact of artificial intelligence on learner–instructor interaction in online learning
Artificial intelligence (AI) systems offer effective support for online learning and teaching, including personalizing learning for students, automating instructors’ routine tasks, and powering adaptive assessments. However, while the opportunities for AI are promising, the impact of AI systems on the culture of, norms in, and expectations about interactions between students and instructors are still elusive. In online learning, learner–instructor interaction (inter alia, communication, support, and presence) has a profound impact on students’ satisfaction and learning outcomes. Thus, identifying how students and instructors perceive the impact of AI systems on their interaction is important to identify any gaps, challenges, or barriers preventing AI systems from achieving their intended potential and risking the safety of these interactions. To address this need for forward-looking decisions, we used Speed Dating with storyboards to analyze the authentic voices of 12 students and 11 instructors on diverse use cases of possible AI systems in online learning. Findings show that participants envision adopting AI systems in online learning can enable personalized learner–instructor interaction at scale but at the risk of violating social boundaries. Although AI systems have been positively recognized for improving the quantity and quality of communication, for providing just-in-time, personalized support for large-scale settings, and for improving the feeling of connection, there were concerns about responsibility, agency, and surveillance issues. These findings have implications for the design of AI systems to ensure explainability, human-in-the-loop, and careful data collection and presentation. Overall, contributions of this study include the design of AI system storyboards which are technically feasible and positively support learner–instructor interaction, capturing students’ and instructors’ concerns of AI systems through Speed Dating, and suggesting practical implications for maximizing the positive impact of AI systems while minimizing the negative ones.
Journal Article
Adaptive e-learning environment based on learning styles and its impact on development students' engagement
Adaptive e-learning is viewed as stimulation to support learning and improve student engagement, so designing appropriate adaptive e-learning environments contributes to personalizing instruction to reinforce learning outcomes. The purpose of this paper is to design an adaptive e-learning environment based on students' learning styles and study the impact of the adaptive e-learning environment on students’ engagement. This research attempts as well to outline and compare the proposed adaptive e-learning environment with a conventional e-learning approach. The paper is based on mixed research methods that were used to study the impact as follows: Development method is used in designing the adaptive e-learning environment, a quasi-experimental research design for conducting the research experiment. The student engagement scale is used to measure the following affective and behavioral factors of engagement (skills, participation/interaction, performance, emotional). The results revealed that the experimental group is statistically significantly higher than those in the control group. These experimental results imply the potential of an adaptive e-learning environment to engage students towards learning. Several practical recommendations forward from this paper: how to design a base for adaptive e-learning based on the learning styles and their implementation; how to increase the impact of adaptive e-learning in education; how to raise cost efficiency of education. The proposed adaptive e-learning approach and the results can help e-learning institutes in designing and developing more customized and adaptive e-learning environments to reinforce student engagement.
Journal Article
AI-generated feedback on writing: insights into efficacy and ENL student preference
The question of how generative AI tools, such as large language models and chatbots, can be leveraged ethically and effectively in education is ongoing. Given the critical role that writing plays in learning and assessment within educational institutions, it is of growing importance for educators to make thoughtful and informed decisions as to how and in what capacity generative AI tools should be leveraged to assist in the development of students’ writing skills. This paper reports on two longitudinal studies. Study 1 examined learning outcomes of 48 university English as a new language (ENL) learners in a six-week long repeated measures quasi experimental design where the experimental group received writing feedback generated from ChatGPT (GPT-4) and the control group received feedback from their human tutor. Study 2 analyzed the perceptions of a different group of 43 ENLs who received feedback from both ChatGPT and their tutor. Results of study 1 showed no difference in learning outcomes between the two groups. Study 2 results revealed a near even split in preference for AI-generated or human-generated feedback, with clear advantages to both forms of feedback apparent from the data. The main implication of these studies is that the use of AI-generated feedback can likely be incorporated into ENL essay evaluation without affecting learning outcomes, although we recommend a blended approach that utilizes the strengths of both forms of feedback. The main contribution of this paper is in addressing generative AI as an automatic essay evaluator while incorporating learner perspectives.
Journal Article
Are women publishing less during the pandemic? Here’s what the data say
Early analyses suggest that female academics are posting fewer preprints and starting fewer research projects than their male peers.
How female academics are losing ground during the pandemic
Early analyses suggest that female academics are posting fewer preprints and starting fewer research projects than their male peers.
Journal Article
Blended learning: the new normal and emerging technologies
This study addressed several outcomes, implications, and possible future directions for blended learning (BL) in higher education in a world where information communication technologies (ICTs) increasingly communicate with each other. In considering effectiveness, the authors contend that BL coalesces around access, success, and students’ perception of their learning environments. Success and withdrawal rates for face-to-face and online courses are compared to those for BL as they interact with minority status. Investigation of student perception about course excellence revealed the existence of robust if-then decision rules for determining how students evaluate their educational experiences. Those rules were independent of course modality, perceived content relevance, and expected grade. The authors conclude that although blended learning preceded modern instructional technologies, its evolution will be inextricably bound to contemporary information communication technologies that are approximating some aspects of human thought processes.
Journal Article
The impact of a virtual teaching assistant (chatbot) on students' learning in Ghanaian higher education
Chatbot usage is evolving rapidly in various fields, including higher education. The present study’s purpose is to discuss the effect of a virtual teaching assistant (chatbot) that automatically responds to a student’s question. A pretest–posttest design was implemented, with the 68 participating undergraduate students being randomly allocated to scenarios representing a 2 × 2 design (experimental and control cohorts). Data was garnered utilizing an academic achievement test and focus groups, which allowed more in depth analysis of the students’ experience with the chatbot. The results of the study demonstrated that the students who interacted with the chatbot performed better academically comparing to those who interacted with the course instructor. Besides, the focus group data garnered from the experimental cohort illustrated that they were confident about the chatbot’s integration into the course. The present study essentially focused on the learning of the experimental cohort and their view regarding interaction with the chatbot. This study contributes the emerging artificial intelligence (AI) chatbot literature to improve student academic performance. To our knowledge, this is the first study in Ghana to integrate a chatbot to engage undergraduate students. This study provides critical information on the use and development of virtual teaching assistants using a zero-coding technique, which is the most suitable approach for organizations with limited financial and human resources.
Journal Article