Journal of Computing in Higher Education最新文献

The purpose of this study was to explore student's experiences when practicing information technology skills with an online simulation environment. After using the online simulation environment over a five-week period, 215 undergraduate students were surveyed regarding their usage-related experiences, satisfaction with the environment, and perceived learning. Both quantitative and qualitative data collection methods were employed. The quantitative results suggested that perceived ease of use had a direct effect on student's satisfaction with the online simulation environment, and that the satisfaction with the online simulation environment led to higher perceived learning. The qualitative findings revealed that technical problems, not being able to accomplish the objective of a step due to the precision required by the task, and the inflexibility of certain features of the online simulation environment were the commonly referenced issues, which might have impacted student's satisfaction and their perceived learning.

The spread of COVID-19 poses a threat to humanity, as this pandemic has forced many global activities to close, including educational activities. To reduce the spread of the virus, education institutions have been forced to switch to e-learning using available educational platforms, despite the challenges facing this sudden transformation. In order to further explore the potentials challenges facing learning activities, the focus of this study is on e-learning from students' and instructor's perspectives on using and implementing e-learning systems in a public university during the COVID-19 pandemic. The study targets the society that includes students and teaching staff in the Information Technology (IT) faculty at the University of Benghazi. The descriptive-analytical approach was applied and the results were analyzed by statistical methods. Two types of questionnaires were designed and distributed, i.e., the student questionnaire and the instructor questionnaire. Four dimensions have been highlighted to reach the expected results, i.e., the extent of using e-learning during the COVID-19 pandemic, advantages, disadvantages and obstacles of implementing E-learning in the IT faculty. By analyzing the results, we achieved encouraging results that throw light on some of the issues, challenges and advantages of using e-learning systems instead of traditional education in higher education in general and during emergency periods.

In massive open online learning courses (MOOCs) with a low instructor-student ratio, students are expected to have self-directed learning abilities. This study investigated the relationship among motivation, self-monitoring, self-management, and MOOC learners' use of learning strategies. An online survey was embedded at the end of three MOOCs with large enrollments asking for learners' voluntary participation in the study. The survey results from 470 participants indicated that motivation positively influenced self-monitoring, self-management, and learning strategies. In addition, self-monitoring and self-management did not affect the utilization of learning strategies. This underscores learners' motivation and the need to encourage them to adopt appropriate learning strategies for successful learning. The results also revealed that self-monitoring positively affected self-management. The findings highlight the critical need to enhance self-monitoring skills to further promote self-management skills in MOOCs. In addition, self-monitoring and self-management did not encourage learners to use related learning strategies in this study. This study should be extended to investigate practical ways to encourage MOOC learners to adopt learning strategies.

There is widespread interest in employing designers who focus on learning, performance and education technology in many industries at a global level. In Australia, learning designers are in demand in Education, Corporate Training, Finance, Charity, Non-Government Sectors, and also in Start-Ups and Entrepreneurial arenas. This demand is despite the fact that the role of the Learning Designer is incredibly varied, contextually-based, and also unclear to many employers - and students! This suggests that there is currently an opportunity for learning designers and academics who deliver learning design content to define what it means to be a learning designer. This paper presents an Australian case study which uses design-based research methods in a pre-production mode to identify the key principles that informed the development of a course of study (what others may refer to as a program). How those principles were operationalised within the course design and more are discussed in an effort to reposition understandings of knowledge, skills and abilities for this field.

One of the main current challenges in Educational Data Mining and Learning Analytics is the portability or transferability of predictive models obtained for a particular course so that they can be applied to other different courses. To handle this challenge, one of the foremost problems is the models' excessive dependence on the low-level attributes used to train them, which reduces the models' portability. To solve this issue, the use of high-level attributes with more semantic meaning, such as ontologies, may be very useful. Along this line, we propose the utilization of an ontology that uses a taxonomy of actions that summarises students' interactions with the Moodle learning management system. We compare the results of this proposed approach against our previous results when we used low-level raw attributes obtained directly from Moodle logs. The results indicate that the use of the proposed ontology improves the portability of the models in terms of predictive accuracy. The main contribution of this paper is to show that the ontological models obtained in one source course can be applied to other different target courses with similar usage levels without losing prediction accuracy.

Programming skills have gained increasing attention in recent years because digital technologies have become an indispensable part of life. However, little is known about the roles of fade-in and fade-out scaffolding in online collaborative programming settings. To close this research gap, the present study aims to examine the roles of fade-in and fade-out scaffolding for novice programmers in online collaborative programming. A total of 90 undergraduate students participated in the exploratory study and were assigned to 15 fade-in groups and 15 fade-out groups. All of the participants completed the same programming task. The findings reveal that fade-in scaffolding can significantly improve collaborative knowledge building, programming skills, metacognitive behaviors, emotions, and collective efficacy. Goal setting, planning, monitoring and control, enacting strategies, and evaluation and reflection are identified as the crucial metacognitive behaviors. The main contribution of this exploratory study is to shed light on how to design and implement scaffolding for novice programmers.