In this paper, we present our experience with redesigning an introductory computer science course for (electrical) engineers with blended learning concepts. It is a large mandatory course with eight credit points over the course of two semesters, where first year electrical engineers learn how to program with Arduino, C and Python. Additionally,…

Background and Context: In today's increasingly digital world, it is critical that all students learn to think computationally from an early age. Assessments of Computational Thinking (CT) are essential for capturing information about student learning and challenges. When programming is used as a vehicle to foster CT skills, assessment of CT…

This study discusses the dialect stylization and language ideologies involved in a nationally broadcasted radio prank show, "Carmen Calls." This national prank show permits a discussion on the language practices and hegemonic ideologies involved in the media representation of the show's Latina protagonist; "Carmen Santiago De la…

We recommend the conceptualization of computing as a critical literacy, and ground this conceptualization in considerations of historical and current realities in computing. The frameworks of connected learning and computational participation are recommended as guides for "doing" critical computing literacy. We present the findings from…

Recent years have witnessed a growing demand for business analytics-oriented curricula. This paper presents the implementation of an introductory Python course at a business university and the attempt to elevate the course's relevance by introducing data analytics topics. The results from a survey of 64 undergraduate students of the course are…

With the increasing recognition in the importance of multiliteracies, this study argues for the need to develop a pedagogical framework to teach and support students' digital multimodal composing practices, such as video production, in the classroom. The framework, informed by Systemic Functional Theory and Design Thinking, organises the knowledge…

This study investigates how visual context influences second language (L2) long-term structural priming for the Chinese "ba" construction. The experiment consisted of a baseline phase, an exposure phase, an immediate posttest, and a delayed posttest. L2 Chinese learners (N = 120) were assigned to 1 of 4 groups for the exposure…

Background and Context: Computational thinking (CT) is considered as a valuable literacy for all students, and its inclusion in compulsory schooling could increase the numbers of underrepresented students who pursue computing-related careers. Computer Science Unplugged (CSU) had success in making computer science (CS) accessible to K-12 students…

Purpose: The purpose of this paper is to examine the ways in which early adolescent programmers embed meaning in their digital media created within an online programming community called Scratch. Design/methodology/approach: The author completed an 18-month descriptive case study with 5 early adolescent participants. The research design included a…

This study expands the scope of cognitive evaluation theory (CET) with flow theory by providing a potential explanation for the missing link between motivation and motivational outcomes of students in visual programming learning. It aims to investigate how parental roles impact young students' flow experience in learning from the parents' point of…

This study investigates the initial encounters of 30 Thai senior citizens and the four Thai musician-celebrity coaches in the blind auditions of "The Voice Senior Thailand season 1". The analysis was drawn from studies on compliments, politeness, and face work. The analysis found that both overt-oriented and covert-oriented compliments…

This study aimed at examining the COTS (Commercial off the Shelf) games having strong potential for helping to enhance intrinsic motivation and computational thinking skills. To this end, STEAM game store was searched with the keywords of "programming, coding, computing, and algorithm". This search yielded 1,249 games. After eliminating…

This study implemented a data-driven approach to identify Chinese high school students' common errors in a Java-based introductory programming course using the data in an automated assessment tool called the Mulberry. Students' error-related behaviors were also analyzed, and their relationships to success in introductory programming were…

In this digital ITEMS module, Nikole Gregg and Dr. Brian Leventhal discuss strategies to ensure data visualizations achieve graphical excellence. Data visualizations are commonly used by measurement professionals to communicate results to examinees, the public, educators, and other stakeholders. To do so effectively, it is important that these…

Many course designers trying to evaluate the experience of participants in a MOOC will find it difficult to track and analyse the online actions and interactions of students because there may be thousands of learners enrolled in courses that sometimes last only a few weeks. This study explores the use of automated sentiment analysis in assessing…