Computer Science (CS) is a vital subject in K-12 education, and acquiring proficiency in CS is essential for nurturing talent. However, current teaching practices often rely on standardized tests to evaluate academic performance, which may not offer a comprehensive and multidimensional assessment of students' competency in learning CS.…

Programming ability is the core ability of this era and can be obtained and improved through practice. In this paper, an Automated Programming Assessment system based on Mastery learning and Peer competition (APAMP) was proposed and developed. APAMP allows students to practice repeatedly by providing immediate feedback after their programs are…

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…

This dissertation investigates the application of network models in educational assessment across diverse learning settings, encompassing both clinical and classroom environments. As educational paradigms shift and digital tools become more embedded in learning processes, traditional assessment methods often fall short in effectively capturing the…

Student access to the Internet has made it much easier for students to find solutions to traditional homework problems online and thereby has made this traditional assessment method of monitoring student progress and gauging the assimilation of knowledge in engineering and technology courses less reliable. This paper presents an in-class,…

Students' performances in introductory programming courses show large variation across students. There may be many reasons for these variations, such as methods of teaching, teacher competence in the subject, students' coding backgrounds and abilities, students' self-discipline, the teaching environment, and the resources available to students,…

Learning analytics has been as used a tool to improve the learning process mainly at the micro-level (courses and activities). However, another of the key promises of learning analytics research is to create tools that could help educational institutions at the meso- and macro-level to gain better insight into the inner workings of their programs…

Computer Science (CS) introductory courses that are offered by the Department of Information Systems at the University of Minho (UM), Portugal, seem to abound in non-motivated students. They are characterized by high failure and withdrawal rates and use mainly deductive teaching approaches. Deductive instruction begins with theories and progresses…

The development of computer science, statistics and other technological fields, give us more opportunities to improve the process of evaluation of degree of knowledge and achievements in a learning process of our students. More and more we are relying on the computer software to guide us in the grading process. An improved way of grading can help…

The authors assign semester- or quarter-long team-based projects in several Computer Science and Finance courses. This paper reports on our experience in designing, managing, and evaluating such projects. In particular, we discuss the effects of team size and of various peer evaluation schemes on team performance and student learning. We report…

The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…

The aim of the 2018 International Association for Development of the Information Society (IADIS) Cognition and Exploratory Learning in the Digital Age (CELDA) conference was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There have been advances in both cognitive…

Discussion of assessment of student performance focuses on peer assessment and the development of a hypermedia-based peer assessment tool, the MUCH system, at the University of Liverpool (England). A study conducted with undergraduate computer science students that used the MUCH system is described, and student attitudes are discussed. (Contains…

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…

This handbook is designed to provide teachers and administrators at the district and school level with a set of procedures for gathering information about the major components of a computer education program and for using the information to develop conclusions and recommendations regarding the components of the program. The four major components…