We present a methodological improvement for calculating Grade Point Averages (GPAs). Heterogeneity in grading between courses systematically biases observed GPAs for individual students: the GPA observed depends on course selection. We show how a logistic model can account for course selection by simulating how every student in a sample would…

Games with educational purposes usually follow a computer-assisted instruction concept that is predefined and rigid, offering no adaptability to each student. To overcome such problem, some ideas from Intelligent Tutoring Systems have been used in educational games such as teaching introductory programming. The objective of this study was to…

This study presents the design of a Computer Education Licensure (CEL) program based on a situated learning theory framework. The study captures instructors' design considerations while designing the courses in the CEL program based on this theoretical framework. The study also captures preservice teachers and alumni perceptions regarding the…

This study investigates the delivery of the "Hour of Code" tutorials to college students. The college students who participated in this study were surveyed about their opinion of the Hour of Code. First, the students' comments were discussed. Next, a content analysis of the offered tutorials highlights their reliance on visual…

Teaching programming concepts to enhance students' problem solving and computational thinking skills is a challenging task, especially when students enter college with little to no preparation, or they lack the interest or capacity for programming. Online platforms that serve as automated practice and assessment systems have been offered as…

The rapid development of new technologies requires a new set of skills from all users in operating, using, and maintaining digitised environments. Curriculum design in the field of Information and Communication Technologies (ICT) undergoes a rapid change as technological achievements do influence education. The aim of the article was to present…

The aim of this paper is to determine the influence of blended learning environments on self-regulated and self-directed learning skills of undergraduate students. The explanatory sequential mixed method was used. In total 167 students participated in the study. While sixty students taking "Programming Languages" course at Computer…

Recent policies and initiatives emphasized the importance of helping all students acquire Computer Science (CS) knowledge and develop Computational Thinking (CT). This study investigated the impact of a school-university partnership model on school students' CT development in the context of an after-school program. This study also examined the…

Course selection can be a daunting task, especially for first year students. Sub-optimal selection can lead to bad performance of students and increase the dropout rate. Given the availability of historic data about student performances, it is possible to aid students in the selection of appropriate courses. Here, we propose a method to compose a…

Online tools provide unique access to research students' study habits and problem-solving behavior. In MOOCs [Massive Open Online Courses], this online data can be used to inform instructors and to provide automatic guidance to students. However, these techniques may not apply in blended courses with face to face and online components. We report…

Contribution: A model of tiered in-lab, compulsory lab programming sessions suitable for use in flipped learning environments. This article also addresses the scarcity of research that explores the effects of in-class activity organization. Background: When facing a subject they perceive as dry or difficult, some students may feel discouraged from…

Generalizability of the value of methods based on learning analytics remains one of the big challenges in the field of learning analytics. One approach to testing generalizability of a method is to apply it consistently in different learning contexts. This study extends a previously published work by examining the generalizability of a learning…

The Mathematics for Computer Science mandatory course was conducted in a flipped classroom (FC) setting with an optional, voluntary, project-based learning (PBL) component. The objective of this study was to examine the effect of studying in an FC setting, with and without PBL, on students' problem-solving performance, conceptual understanding,…

Tools for automatic grading programming assignments, also known as Online Judges, have been widely used to support computer science (CS) courses. Nevertheless, few studies have used these tools to acquire and analyse interaction data to better understand the students' performance and behaviours, often due to data availability or inadequate…

Considerable effort has been invested in innovative practices about teaching programming. Although the usefulness of metacognition in learning process is acknowledged, evidence demonstrating how metacognitive strategies effect in the programming classrooms is still very scarce. Given the importance of metacognitive strategies, this study seeks to…