Search results

Smart learning analytics (Smart LA) – i.e. the process of collecting, analyzing and interpreting data on how students learn – has great potentials to support opportunistic learning and offer better – and more personalized – learning experiences. The purpose of this paper is to provide an overview of the latest developments and features of Smart LA by reviewing relevant cases.

The paper studies several representative cases of Smart LA implementation, and highlights the key features of Smart LA. In addition, it discusses how instructors can use Smart LA to better understand the efforts their students make, and to improve learning experiences.

Ongoing research in Smart LA involves testing across various learning domains, learning sensors and LA platforms. Through the collection, analysis and visualization of learner data and performance, instructors and learners gain more accurate understandings of individual learning behavior and ways to effectively address learner needs. As a result, students can make better decisions when refining their study plans (either by themselves or in collaboration with others), and instructors obtain a convenient monitor of student progress. In summary, Smart LA promotes self-regulated and/or co-regulated learning by discovering opportunities for remediation, and by prescribing materials and pedagogy for remedial instruction.

Characteristically, Smart LA helps instructors give students effective and efficient learning experiences, by integrating the advanced learning analytics technology, fine-grained domain knowledge and locale-based information. This paper discusses notable cases illustrating the potential of Smart LA.

This study aims to focus on providing a computerized classification testing (CCT) system that can easily be embedded as a self-assessment feature into the existing legacy environment of a higher education institution, empowering students with self-assessments to monitor their learning progress and following strict data protection regulations. The purpose of this study is to investigate the use of two different versions (without dashboard vs with dashboard) of the CCT system during the course of a semester; to examine changes in the intended use and perceived usefulness of two different versions (without dashboard vs with dashboard) of the CCT system; and to compare the self-reported confidence levels of two different versions (without dashboard vs with dashboard) of the CCT system.

A total of N = 194 students from a higher education institution in the area of economic and business education participated in the study. The participants were provided access to the CCT system as an opportunity to self-assess their domain knowledge in five areas throughout the semester. An algorithm was implemented to classify learners into master and nonmaster. A total of nine metrics were implemented for classifying the performance of learners. Instruments for collecting co-variates included the study interest questionnaire (Cronbach’s a = 0. 90), the achievement motivation inventory (Cronbach’s a = 0. 94), measures focusing on perceived usefulness and demographic data.

The findings indicate that the students used the CCT system intensively throughout the semester. Students in a cohort with a dashboard available interacted more with the CCT system than students in a cohort without a dashboard. Further, findings showed that students with a dashboard available reported significantly higher confidence levels in the CCT system than participants without a dashboard.

The design of digitally supported learning environments requires valid formative (self-)assessment data to better support the current needs of the learner. While the findings of the current study are limited concerning one study cohort and a limited number of self-assessment areas, the CCT system is being further developed for seamless integration of self-assessment and related feedback to further reveal unforeseen opportunities for future student cohorts.

Knowledge-building (KB) pedagogy is a framework that promotes collective inquiry towards the continual resolution of knowledge problems that are relevant to a community (Bereiter & Scardamalia, 1993). Scardamalia (2002) proposes 12 principles to define KB pedagogy. The aim of this study is to provide a review that analyses the influences of these principles on empirical investigations on KB and the importance of technology in such investigations in order to understand the research trends on this pedagogy. The sample was selected from the most recent products published in the Web of Science database. The content analysis performed showed that researchers focussed mainly on the aspects related to a balanced distribution of knowledge and the improvement of ideas in a KB community. Results of this research suggest the addition of a sixth principle in KB pedagogy, that is, a technological principle. The latter highlights that KB is mediated by technology, which in turn facilitates communicating and sharing ideas within a community.

The purpose of this paper is to examine the critical factors that drive the adoption of digital library system (DLS) in institutes located in remote India. An integrated model of the unified theory of acceptance and use of technology model-2 (UTAUT2) and information systems success model (ISSM) is used to evaluate the critical factors.

The survey method of research was used, and the data collected was analysed by using PLS-SEM, which proved helpful to evaluate and validate the model.

Departing from past research, where most of the factors of the UTAUT2 and ISSM were found to influence the adoption of DLS, in this context, it is noted that performance expectancy, facilitating conditions and habit were the only constructs that influenced the intention to use DLS.

The study addresses the requirement for further research in DLS domain in emerging markets. It is one of the few studies addressing DLS adoption in remote India. The findings are unique to this context, which differ from developed nations, thus, answering the call to advance UTAUT model.

The new coronavirus is a highly infectious disease with mutating variants leading to pervasive risk around geographies and public health system. The economy has been suffering due to the strategic lockdown adopted by the local administrative bodies, and in most of the countries, it is further leading to a major wave of unemployment with millions of job and business losses affecting the hotels, travel and tourism industry widely. To attain a sustainable business in the post-pandemic situations, the industry now must think of information system approaches to convince tourists to feel safe with the most hygienic hospitality and services to be offered in any property. The key aspect of the study is to provide the impact of new-age AI-driven technology solutions that will dominate the future direction of the modernized hospitality industry promising robust health-safety measures in a hotel, and further help create sustainable business and leisure travel facilities to cope with post-epidemic scenarios.

The study emphasizes to provide a robust technology-oriented framework based on a mixed research method that would help hotels to adopt and implement new-age AI-driven solution within the hotel premise to serve customers with at most hygiene, contactless service and thereafter, aiming for faster recovery of businesses and regaining customer trust to fuel booking intent in the post-epidemic scenario.

The paper provides a technology-focused solution that would impact hotel industries' post-pandemic scenario. The study contributes to helping boost the tourism industry using information management solutions such as biosensors, robotic room services and contactless hosting. The findings show the adoption of robots/RPA solutions and Biosensors by the industry will be a disruptive paradigm shift.

The study expands the scope of research in information technology and management with a focus on the hospitality industry while contributing to new factors impacting customer buying behavior in the industry.

The explosive growth in the number of digital tools utilized in everyday learning activities generates data at an unprecedented scale, providing exciting challenges that cross scholarly communities. This paper aims to provide an overview of learning analytics (LA) with the aim of helping members of the information and learning sciences communities understand how educational Big Data is relevant to their research agendas and how they can contribute to this growing new field.

Highlighting shared values and issues illustrates why LA is the perfect meeting ground for information and the learning sciences, and suggests how by working together effective LA tools can be designed to innovate education.

Analytics-driven performance dashboards are offered as a specific example of one research area where information and learning scientists can make a significant contribution to LA research. Recent reviews of existing dashboard studies point to a dearth of evaluation with regard to either theory or outcomes. Here, the relevant expertise from researchers in both the learning sciences and information science is offered as an important opportunity to improve the design and evaluation of student-facing dashboards.

This paper outlines important ties between three scholarly communities to illustrate how their combined research expertise is crucial to advancing how we understand learning and for developing LA-based interventions that meet the values that we all share.

The purpose of this paper is to focus on assessing individuals’ problems in learning groups/teams and should lead to the assessment of the group/team itself as a learning entity.

In this paper, an extension of the IMS-Learning Design (IMS-LD) meta-model is proposed in order to support the assessment of collaborative activities in e-learning. Besides, the software architecture which consists of a set of components forming a web wizard to create, track and assess the collaborative assessment processes is described as to support that extension of the IMS-LD meta-model.

With the proposed solution we can: make assessment fairer using individual and collective assessment indicators to assign final scores to learners; make an assessment step by step for better individual and collective monitoring activities; and divide the assessment into lighter phases for the correctors. Consequently, the evaluator will have more detailed information about his/her students and the quality of judgment will be better. This could also be useful for the evaluator in order to plan further examinations.

Further experimentations are necessary to test the effectiveness of the proposed system in order to analyze its performances under a massive usage. In addition, the authors plan to use a survey to collect learners’ opinions to know the effectiveness of the proposal in terms of fairness in the assessment of collaborative activities in an online community.

This paper addresses important issues in the educational area, especially assessment of collaborative activities. In fact, to reduce subjectivity and increase fairness in assessing learners in collaborative work, for example, using the peer assessment, in order to try reducing subjectivity and fairly assessing learners. However, while assessing group work, the same mark is attributed for all group members and authors have concluded that it is not the right approach to make a fair and more objective assessment.

Students studying exclusively online face the challenge of gauging their progress in relation to that of their disparate peers. The purpose of this paper is to describe the creation of a student progress “dashboard” in an online Masters programme, and the perceived effectiveness of the tool for engaging students.

Tableau® visualisation software was used to create a dashboard displaying cohort comparison data comprising metrics relating to the continuous assessment components of the Masters programme. An anonymous questionnaire gauged students’ perceptions of the dashboard.

Feedback from students (n=137) suggests the dashboard improved their motivation, incentivising change in study behaviours, and sense of belonging to an online community of learners. It also acted as a conversation catalyst between staff and students, whereby students more readily engaged in dialogue with their personal tutor.

Distance learners are more likely to feel isolated and can become demotivated, which contributes to typically higher levels of withdrawal from online programmes vs those delivered on-campus. Tutors may consider communicating progress data as dashboards to enable online students to monitor their academic progress alongside that of their peers, as a motivational tool in an otherwise disparate group of learners, and to reduce feelings of isolation by reminding distance learners that they are part of a larger online community.

This paper shares student and tutor perspectives on the use of dashboards to increase online students’ motivation, and examines whether the benefits of a peer-comparison dashboard are reserved for high-achieving students.

Through observing the use of iPhone and iPad by a child between the ages of two and four years and a half, this study presents accounts on the child’s use of and interaction with these devices, as well as her interaction with the physical environment.

Unstructured, naturalistic observation was employed in this study. The study is grounded in theories of user engagement with digital and physical objects.

A child’s interaction with touch-based devices does not deter the child from engaging effectively with the physical environment or from activities centered on creativity and interpersonal engagement. A child is able to move back and forth seamlessly between the physical and digital environments.

Findings from this study could help parents, educators, and system designers understand why and how toddlers and preschoolers use and engage with touch-based devices, as well as the kind of tasks they perform.

Studies of toddlers’ or preschoolers’ information behavior and interaction with touch-based devices are scarce. Children born toward the end of the first decade of the twenty-first century are growing up with a propensity to using touch-based devices. This study provides a framework for effective usage of such devices while ensuring all-round cognitive and physical development of the child.

This paper aims to present a review of selected mobile learning literature and programmatic approaches for librarians interested in developing mobile digital library services in order to equip readers with a framework for understanding and appreciating mobile digital librarianship.

A literature review is culled from distance learning, medical informatics and medical librarianship, internet social studies, and human computer interaction research. Much of the research reviewed focuses on recently released reports as well as library services utilizing mobile technology.

The study finds that mobile learning has seen increased service development, but has not yet evolved to be a robust field in librarianship.

The field of mobile digital technology advances very quickly. This research represents the state of mobile learning in mid‐2008.

Library and information professionals will gain a sound conceptual grasp of the social science of mobile technology; the science of mobile technology, and current applications for mobile technology.

This paper addresses issues about the feasibility and future development for library services utilizing mobile technology, provides directions for future individual study and institutional research and development.