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There is little debate regarding the importance of student feedback for improving the learning process. However, there remain significant workload barriers for instructors that impede their capacity to provide timely and meaningful feedback. The increasing role technology is playing in the education space may provide novel solutions to this impediment. As students interact with the various learning technologies in their course of study, they create digital traces that can be captured and analysed. These digital traces form the new kind of data that are frequently used in learning analytics to develop actionable recommendations that can support student learning. This paper explores the use of such analytics to address the challenges impeding the capacity of instructors to provide personalised feedback at scale. The case study reported in the paper showed how the approach was associated with a positive impact on student perception of feedback quality and on academic achievement. The study was conducted with first year undergraduate engineering students enrolled in a computer systems course with a blended learning design across three consecutive years (N2013 = 290, N2014 = 316 and N2015 = 415).

This paper reports the effects of game technology on student learning in mathematics as investigated in two data sets collected from slightly different subjects. In the first, 41 second graders (7 or 8 years old) from two classes used either a technology-based game or a paper-based game for 5 weeks. For the next 13 weeks, both classes used a technology-based game either two times per week, or more than three times per week. A quasi-experimental control-group design with repeated measures analysis of variance and analysis of covariance was employed to explore performance differences between groups. The second study examined student learning in relation to characteristics such as their game performance, attitudes toward the game and toward mathematics, and gender and ethnicity. During a 4-month period, 50 second grade students from three classesplayedatechnology-basedgameunderconditionsthatvarieddependingontheir teacher’s direction. Multiple regression was used to determine the relationship between students’ arithmetic scores and learner characteristics. Descriptive analyses by ability level, gender and ethnicity, and interview data about attitudes toward the technology game were also analyzed. Results from the two studies revealed that using a technologybased game in the classroom was beneficial to students of all ability levels in learning arithmetic skills.

This paper seeks to explain why some individuals sink further into states of flow than others, and what effects flow has in the context of a virtual education environment. Our findings-gathered from both questionnaire and behavioural data-reveal that flow states are elicited by the e-learners' senses of controlling the virtual education environment, their attention centred on the learning activity, and their feelings of physically being in such an environment. We bring evidence about three benefits from flow states: they facilitate e-learner's positive emotions, they enhance e-learners' academic performance, and they contribute to students' effective continuance in e-learning. [ABSTRACT FROM AUTHOR]

While there is agreement that participation in online asynchronous discussions can enhance student learning, it has also been identified that there is a need to investigate the impact of participation in online discussions on student course performance. This paper presents a case study based on an undergraduate engineering management unit employing a formally assessed online discussion area. It was observed that while many students read a significant number of discussion postings, generally, the posting of new and reply messages occurred at the minimum level required to qualify for the assignment marks. Based on correlation and multiple regression analysis, it was observed that two variables were significantly related to a student's final unit mark—prior academic ability and the number of new postings made to the online discussion. Each new posting contributed three times as much to the final unit mark as its nominal assessment value, suggesting that the work in preparing their new discussion postings assisted students in the completion of a range of assessable tasks for the unit. The number of postings read was not significantly correlated with the final unit mark, suggesting that passive lurking in this online discussion did not significantly contribute to student learning outcomes.