AN EXPLORATION OF FIRST-YEAR UNDERGRADUATES’ PREPAREDNESS AND EXPERIENCES IN BLENDED COURSES

Despite their advantages, blended approaches have been met with mixed results by learners. There is a general view that learners who are known as Digital Natives or Millennials, are technologically savvy. Research, however, suggests rather that they possess poor levels of digital literacy and have demonstrated some degree of avoidance towards e-learning tools (Boyd, 2014; Chigeza and Halbert, 2014; O’Connell and Dyment, 2014). This study thus intends to explore learners\u27 preparedness in adapting to blended courses. We hypothesize that learners’ depth of engagements in blended activities is influenced by learners’ characteristics. We further hypothesize the influence of learning facilitators and the learning environment in moderating learners’ engagement. We aim to contribute in a theoretical and empirical manner by testing the proposed framework based on past literature. Expected practical contributions include enriching teaching practices to better cater to students’ needs, and improving on blended techniques, allowing learners to learn in a more effective manner

Cultural Changes Resulting from Information System Adoption and Use: A Case Study on New Product Development in the Consumer Food Industry

This paper explores how managers acted as internal and external change agents to persuade the digital transformation and organizational culture through the different stages of food product innovation and development for consumer food products. A case study approach was adopted to collect rich data cataloging the cultural changes in the firm in their progressive adoption of an information technology for decision support and management control purposes when managing NPD processes and activities. We focused on the perspectives of senior management over two specific time periods of before and near the commercial launch of their new salmon fish products. Through the use of the analytics tool, Leximancer, we observed how the reasoning, decision making, and emphasis on senior management had changed over a six-month period. Our findings show the changes in organizational cultures after digital transformation was applied and overhauled onto their new product development process

RULES GOVERNING THE USE OF PERSONAL LEARNING ENVIRONMENTS FOR SELF-REGULATED LEARNING: AN ACTIVITY THEORY APPROACH

Advances in technology access allow learners to personalize their learning to their individual interests via the creation and use of informal personal learning environments (PLEs). A com-prehensive understanding of how self-regulated learning (SRL) occurs in such PLEs and the im-plicit and explicit rules which govern the learners’ interaction with the learning community is still lacking. Activity Theory (AT) is used to conceptually and methodologically frame this study. The paper draws on 20 in-depth interviews with undergraduates, to present preliminary findings elaborating the norms, conventions, and values which mediate the SRL processes of PLE users. The results indicate that trust, agency and a concern for safety governs the metacognitive, moti-vational and behavioral SRL processes of PLE users. Initial findings contribute to clarifying SRL processes within PLEs while addressing a gap in existing PLE literature. This paper adds further perspective to the ongoing academic discussion on the effective use of personal technologies and how best to utilize such technologies for teaching and learning. The paper concludes with a discussion of the future research opportunities

Analysing the Relationships between Digital Literacy and Self-Regulated Learning of Undergraduates – A Preliminary Investigation

Advances in technology access allow undergraduates to personalize their learning to their individual interests via the creation and use of informal personal learning environments (PLEs). A comprehensive understanding of how every day digital technologies are adapted and used to create such PLEs and their impact on acquisition and development of students’ digital literacy (DL) and self-regulated learning (SRL) skills, is still lacking. This paper presents the initial exploratory quantitative phase, of a longitudinal mixed methods study planned to identify and describe the relationship between DL and SRL skills of students, when using PLEs. Structural equation modelling was used to analyse data collected from 202 participants in online surveys. The results confirm that DL components effect some SRL sub processes and some evidence was obtained for reciprocal relationships. Implications for Information Systems theory and practice are discussed together with future research opportunities

Computer-Adaptive Surveys (CAS) as a Means of Answering Questions of Why

Traditional surveys are excellent instruments for establishing the correlational relationship between two constructs. However, they are unable to identify reasons why such correlations exist. Computer- Adaptive Surveys (CAS) are multi-dimensional instruments where questions asked of respondents depend on the previous questions asked. Their principal advantage is they allow the survey developer to input a large number of potential causes. Respondents then roll down through the causes to identify the one or few significant causes impacting a correlation. This study compared a café satisfaction CAS to a traditional survey of the same item bank to test whether CAS performs its intended task better than a traditional survey. Our study demonstrates that when one is trying to find root cause, CAS achieves a higher response rate, requires fewer items for respondents to answer, has better item discrimination, and has a higher agreement among respondents for each item

A MULTI-LAYERED TAXONOMY OF LEARNING ANALYTICS APPLICATIONS

Digital technologies have become immersed in education systems and the stakeholders have discovered a pervasive need to reform existing learning and teaching practices. Among the emerging educational digital technologies, learning analytics create a disruptive potential as it enables the power of educational decision support, real-time feedback and future prediction. Until today, the field of learning analytics is rapidly evolving, but still immature and especially low on ontological insights. Little guidance is available for educational designers and researchers when it comes to studies applied learning analytics as a method. Hence, this study offers a well-structured multi-layered taxonomy of learning analytics applications for deeper understanding of learning analytics

Exploring the Cyclical Nature of Self-Regulation in Blended Learning: A Longitudinal Study

This study discusses how students\u27 temporal, adaptive processes, and learning regulation can be understood using multi-channel data. We analyzed the behaviors of 189 students to identify a range of self-regulated learning (SRL) profiles that lead to different achievement in a large-scale undergraduate course seeing how students\u27 SRL unfold during the course, which helps understand the complicated cyclical nature of SRL. We identified three SRL profiles by administrating and analyzing the Motivated Strategies for Learning Questionnaire (MSLQ) three times. We looked at how students adopt different SRL profiles as the course progressed through process mining and clustering techniques to clarify the cyclical nature of SRL. We demonstrated how process mining was used to identify process patterns in self-regulated learning events as captured. Analyzing sequential patterns indicated differences in students\u27 process models. It showed the added value of taking the order of learning activities into account, contributing to theory and practice

A TEST OF A COMPUTER-ADAPTIVE SURVEY USING ONLINE REVIEWS

Traditional surveys are excellent instruments for establishing the correlational relationship between two constructs. However, they are unable to identify reasons why such correlations exist. Computer-Adaptive Surveys (CAS) are multi-dimensional instruments where questions asked of respondents depend on the previous questions asked. Assessing the validity of CAS is an underexplored research area as CAS differs from traditional surveys. Therefore, validating a CAS requires different techniques. This study attempts to validate the conclusion validity of a CAS about café customer satisfaction using online customer reviews. For our CAS to have conclusion validity, there should be a high correspondence where most respondents in CAS and online reviewers both agree that certain constructs are the cause of their dissatisfaction. We created a Computer-Adaptive Survey (CAS) of café satisfaction and used online customer reviews to assess its conclusion validity. Our research thus contributes to the measurement literature in two ways, one, we demonstrate that CAS captures the same criticisms of cafes as that in online reviews, and two, CAS captures problems about customer satisfaction at a deeper level than that found in online reviews

Governing Actor Networks in an Emerging Crowdsourcing Ecosystem

Organisations harness the wisdom of community to solve problems or create new knowledge. Multiple organisations, diverse communities and multiple platforms are forming ecosystems to co-create value. We observe that Libraries, Archives, Galleries and Museums are forming collaborative crowdsourcing ecosystems to curate knowledge and create knowledge that ecosystem-wide stakeholders can use. However, despite the collaborative nature of crowdsourcing, various tensions arise among actors that hinder effective outcomes. Through a qualitative case study, we identify crowdsourcing actor networks and explore their tensions that hinder effective outcomes. We propose a strategic governance approach to foster crowdsourcing-based collaboration in a complex and dynamic ecosystem to create and capture value. This study presents a shift in the traditional schema of structured hierarchical governance of crowdsourcing projects to unstructured non-hierarchical governance of a multi-actor crowdsourcing ecosystem. The value propositions of crowdsourcing ecosystem actors networks are value co-creation, resource sharing, collective ownership, and mutual dependency

Understanding Intention To Repurchase On Auction Websites From Users\u27 It Reliance

Does the level of users’ information technology (IT) reliance lead to differences in the motivation of their intention to repurchase on auction websites? This study identifies two seller service propositions that positively affect buyers’ repurchase intentions either directly or indirectly and aims to make two important contributions. First, this study introduces the concept of service provision, which suggests that buyers’ expectations of service and their perception of service provision around purchase has an impact on customers’ intention to repurchase from the same online seller in auction website. Second, this study examines the impact of service provision on buyers’ repurchase intention both directly and indirectly