Contribution: Students do not naturally give unbiased, accurate peer assessments (PAs). Hence, giving teamwork guidelines to students can improve their cooperation, understanding of one another, PA attitude, and PA accuracy. Background: During collaborative learning, PA can improve students' autonomy, evaluation, and communication, which often…

Aim/Purpose: This article proposes a framework based on a sequential explanatory mixed-methods design in the learning analytics domain to enhance the models used to support the success of the learning process and the learner. The framework consists of three main phases: (1) quantitative data analysis; (2) qualitative data analysis; and (3)…

Contribution: In this study, we accumulated the knowledge and generated evidence on how and in what context CDIO framework has been used in software engineering (SE) education. The aggregated evidence will enable SE academics in making informed decisions while adopting CDIO for SE education and build upon it. Background: CDIO framework is relevant…

Due to the increasing demand for efficient, effective, and profitable applications of Artificial Intelligence (AI) in various industries, there is an immense need for professionals with the right skills to meet this demand. As a result, several institutions have started to offer AI programs. Yet, there is a notable gap in academia: the absence of…

This study was undertaken to address an issue of student retention and learning in undergraduate computer science (CS) courses. To improve students' CS learning experience, the goal of this case study was to support five CS faculty's integration of active learning into their teaching, using the Understanding by Design framework. We explored the CS…

The purpose of this study is to explore the pedagogical design of massive open online courses (MOOCs) using evidence-based e-learning principles. MOOCs have become an important part of discourse in higher education. However, there has been shared concern on the quality of MOOCs as learning systems for engaging learners as well as fulfilling their…

Learning basic programming concepts in computer science-related fields poses a challenge for students, to the extent that it becomes an academic-social problem, resulting in high failure and dropout rates. Proposed solutions to the problem can be found in the literature, such as the development of new programming languages and environments, the…

This paper introduces a teaching process to develop students' problem-solving and programming efficacy in an introductory computer programming course. The proposed teaching practice provides step-by-step guidelines on using worked-out examples of code to demonstrate the applications of programming concepts. These coding demonstrations explicitly…

Artificial Intelligence and its sub-disciplines are becoming increasingly relevant in numerous areas of academia as well as industry and can now be considered a core area of Computer Science. The Higher Education sector are offering more courses in Machine Learning and Artificial Intelligence than ever before. However, there is a lack of research…

In an Intelligent Tutoring System (ITS), problem (or question) difficulty is one of the most critical parameters, directly impacting problem design, test paper organization, result analysis, and even the fairness guarantee. However, it is very difficult to evaluate the problem difficulty by organized pre-tests or by expertise, because these…

This research aims to address the current gaps in computer-assisted translation (CAT) courses offered in bachelor's and master's programmes in scientific and technical translation (STT). A multi-framework course design methodology is proposed to support CAT teachers from the computer engineering field, improve student engagement, and promote…

This study focuses on the challenges encountered in online cybersecurity education. It adopts an exploratory research design using a mixed-methods approach to investigate the perceptions and experiences of postgraduate students enrolled in an online cybersecurity program. The collection of data is structured into two distinct phases. In the…

Contribution: This article contributes empirical insights on hybrid teaching of software engineering courses. Results include the systematic analysis of hybrid teaching attendance and interaction, perception of hybrid teaching, and grade distributions. Results are synthesized into eight evidence-based guidelines. Background: Hybrid teaching, i.e.,…

There is a purported shortage of employable labor in the tech workforce, yet Black, Indigenous, Women of Color (BIWOC) in urban centers struggle to find and sustain roles in "high-tech." The tech ecosystem is a CIS-gendered, white male heterosexual space that perpetuates and "ideal worker norm" (Kachchaf et al., 2015), which…

This research investigates the knowledge and skills required by potential employers of students graduating from undergraduate Information Systems programs. For this study, job listings were collected and analyzed from several Internet web sites specializing in technology related employment. The job listings, collected over a four month period,…