The COVID-19 pandemic, an unprecedented global health crisis, has not only significantly impacted public health but has also caused substantial disruptions to conventional education systems. In response to these challenges, our institution has undertaken innovative measures within the realm of education. A pivotal aspect of our response involves…

In this paper, we propose a novel approach to combine domain modelling and student modelling techniques in a single, automated pipeline which does not require expert knowledge and can be used to predict future student performance. Domain modelling techniques map questions to concepts and student modelling techniques generate a mastery score for a…

Knowledge tracing (KT) models are a popular approach for predicting students' future performance at practice problems using their prior attempts. Though many innovations have been made in KT, most models including the state-of-the-art Deep KT (DKT) mainly leverage each student's response either as correct or incorrect, ignoring its content. In…

Knowledge components (KCs) have many applications. In computing education, knowing the demonstration of specific KCs has been challenging. This paper introduces an entirely data-driven approach for: (1) discovering KCs; and (2) demonstrating KCs, using students' actual code submissions. Our system is based on two expected properties of KCs: (1)…

The assessment of program functionality can generally be accomplished with straight-forward unit tests. However, assessing the design quality of a program is a much more difficult and nuanced problem. Design quality is an important consideration since it affects the readability and maintainability of programs. Assessing design quality and giving…

As students learn how to program, both their programming code and their understanding of it evolves over time. In this work, we present a general data-driven approach, named "Temporal-ASTNN" for modeling student learning progression in open-ended programming domains. Temporal-ASTNN combines a novel neural network model based on abstract…

The purpose of this study is to find ways to monitor and evaluate the user experience of learners as they use an e-learning system. To do this, we have identified several factors that allow us to measure this experience. We have designed an online measurement scale, presented as a self-administered questionnaire, specifically dedicated to…

By bringing together the national German sports game community and an international scientific community in a joint conference, the 6th International Teaching Games for Understanding Conference (TGfU) Meets the 10th German Sports Games Symposium of the German Association of Sport Science (DVS), held July 25-27, 2016, at the German Sport University…

With the advancement of information and communication technology, collaboration and knowledge sharing through technology is facilitated which enhances the learning process and improves the learning efficiency. The purpose of this paper is to review the methods of assessment and strategy of collaboration and knowledge sharing in a computer course,…

The challenges for TVET today is to re-orient and redirect its curricula to imbue trainers and trainees on sustainable use of resources to enhance appropriate work skill development as new and employment opportunities emerge such as recycling, ICT, repair, waste management, etc. This paper is therefore focused on the effective utilization of ICT…

The purpose of this study was to evaluate student understanding and application of computational thinking patterns to novel situations. Over 500 students, who had just designed and programmed a Frogger-style game using the AgentSheets platform, responded to a newly developed video-prompt survey instrument administered in the Fall 2010 semester.…

Evaluation models are being developed for assessing artificial intelligence (AI) systems in terms of similar performance by groups of people. Natural language understanding and vision systems are the areas of concentration. In simplest terms, the goal is to norm a given natural language system's performance on a sample of people. The specific…

Little work has been done regarding the overall assessment of quality of computer science graduates at the undergraduate level. This paper reports on a pilot study at the University of Alabama of a prototype computer science outcomes assessment designed to evaluate the breadth of knowledge of computer science seniors. The instrument evaluated two…

This research emerged from an effort to develop a theory of computer anxiety relevant to beginning adult learners in a range of university disciplines. To this end, the first step was to design and refine an instrument which was reliable and valid for this population. The development of the "a priori" model of computer anxiety used in this study…

The We Do--They Do Model provides an evaluation methodology that service providers can use on a small scale to obtain data for themselves and for the over-all system. The model allows for complete assessment of ongoing program implementation and outcome. Three questions are used to organize evaluation activities: (1) Did staff (We) do what we said…