To improve students' learning performance through review learning activities, we developed a personalized intervention tutoring approach that leverages learning analysis based on artificial intelligence. The proposed intervention first uses text-processing artificial intelligence technologies, namely bidirectional encoder representations from…

This study explores students' cognitive processes while debugging programs by using an eye tracker. Students' eye movements during debugging were recorded by an eye tracker to investigate whether and how high- and low-performance students act differently during debugging. Thirty-eight computer science undergraduates were asked to debug two C…

Programming assignments are commonly used in computer science education to encourage students to practice target concepts and evaluate their learning status. Ensuring students are engaged in such assignments is critical in attracting and retaining students. To this end, WebHat, a service-based program evaluation platform, is introduced in this…

This paper aims to investigate the current XML-related courses available in 96 LIS schools in South East Asia and Taiwan's 9 LIS schools. Also, this study investigates the linkage of library school graduates in Taiwan who took different levels of XML-related education (that is XML arranged as an individual course or XML arranged as a section unit…

This study explores how to make diverse learning/instructional materials compatible with e-readers when the instructor pioneered to adopt e-readers into a course of the graduate level. What problems did the instructor encounter when she used the e-readers as a major tool to deliver learning contents, such as the process of converting the…

In this study, a Surface Computer Supported Cooperative Work paradigm is proposed. Recently, multitouch technology has become widely available for human-computer interaction. We found it has great potential to facilitate more awareness of human-to-human interaction than personal computers (PCs) in colocated collaborative work. However, other…

Although conventional student assessments are extremely convenient for calculating student scores, they do not conceptualize how students organize their knowledge. Therefore, teachers and students rarely understand how to improve their future learning progress. The limitations of conventional testing methods indicate the importance of accurately…

This paper investigates the impact of combining self explaining (SE) with computer architecture diagrams to help novice students learn assembly language programming. Pre- and post-test scores for the experimental and control groups were compared and subjected to covariance (ANCOVA) statistical analysis. Results indicate that the SE-plus-diagram…

The relative positions of the sun, moon, and earth, their movements, and their relationships are abstract and difficult to understand astronomical concepts in elementary school science. This study proposes a three-dimensional (3-D) virtual reality (VR) model named the "Sun and Moon System." This e-learning resource was designed by…

In this study half of 52 sixth graders learned to program in MSWLogo and the other half in Drape. An analysis of students' test scores revealed that Drape (an iconic language) seemed to have a steeper learning curve than MSWLogo (a textual language). However, as students gradually became more familiar with either language, the difference in…

Learning to program is difficult for novices, even for those undergraduates who have majored in computer science. The study described in this paper has investigated the effects of game strategy and preference-matching on novice learners' flow experience and performance in learning to program using an experiential gaming activity. One hundred and…

Recently, a lot of open source e-learning platforms have been offered for free in the Internet. We thus incorporate the intelligent diagnosis and assessment tool into an open software e-learning platform developed for programming language courses, wherein the proposed learning diagnosis assessment tools based on text mining and machine learning…

This work designs and implements a virtual digital signal processing laboratory, VDSPL. VDSPL consists of four parts: mobile agent execution environments, mobile agents, DSP development software, and DSP experimental platforms. The network capability of VDSPL is created by using mobile agent and wrapper techniques without modifying the source code…