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Contribution: This article features a systematic literature review with the objective of presenting a study that reflects the current scenario of research on the cognitive load theory (CLT) in the domain of teaching and learning computer programming. Background: Computer programming is a highly cognitive skill, requiring mastering multiple competencies, and recognized as being difficult to learn, for this reason, the cognitive load (CL) in the learner’s working memory emerged as an influential concept, making CLT one of the most common theories in computing education research. Research Questions: What are the approaches that relate CLT to teaching and learning computer programming? What CLT-related concepts are covered? What evidence is reported with respect to this context? Methodology: Following a formal protocol, a survey was performed for papers linking CLT to teaching and learning programming published between 2010 and 2020. The selection of papers was based on a set of criteria established to drive the selection process, including alignment with the research questions and paper quality assessment. Findings: The approaches applied in the papers are based on measuring the CL; through instructional design based on the development or use of resources or tools, a range of different pedagogy strategies and the CLT concepts. With respect to the concepts, the subjective measurement technique and worked example effect are the most commonly deployed. As far as the evidence reported, the better part is related to the worked example effect and measuring CLs. [ABSTRACT FROM AUTHOR]

This article is an extension of a work in progress paper originally presented at the conference FiE 2020, Frontiers in Education by (Schirichian et al., 2020), as a result of Schirichian’s master’s in science dissertation. It studies the relations between academic performance, protection factors, life at university, and personal characteristics to understand how they influence students’ academic success in undergraduate engineering programs in Brazil. In this challenging environment, several students overcome these issues and graduate, which indicates that some protection structures allow students to face challenging situations and be successful in their studies. Current research studied the relationships between academic performance, self-efficacy, causal attributions, personal characteristics, and life at university, with a group of 30 students. Models were studied by combining the different variables and aspects evaluated in the research, and the findings show relationship between academic performance and: 1) self-efficacy, causal attributions, and personal characteristics (such as leisure activities, living with their parents, or college accommodations) and those who attended private schools during basic education; 2 protection factors self-efficacy and causal attributions with advancing in the program and the time of enrolment in the university; and 3) the dimensions initiation and persistence, success/internality and failure/internality, indicating that those who perceive themselves as playing a major role in their academic journey tend to have better outcomes. Further results show the influence of social inequalities, particularly for those students who declared themselves brown and who conducted their basic education in public schools (which are generally of lower quality than private ones in Brazil). [ABSTRACT FROM AUTHOR]

Contribution: Prior studies on goal congruity show that students are more motivated to pursue careers that allow them to work with and help others and give back to their community (i.e., careers that afford prosocial value). This paper discovers this same pattern in electrical engineering (EE) and discovers that prosocial affordance beliefs are significantly associated with intensions to persist, while agency beliefs are not. Background: Goal congruity theory finds that people are more motivated to pursue a career if it aligns with values they endorse. This theory can shed light on why some students do not persist in EE because of the stereotype that the profession does not allow working with and helping others. Research Questions: This paper seeks to answer whether EE students perceive the profession as affording prosocial value, and to test associations between prosocial perceptions and motivation to persist in the field. Methodology: The first study in this paper was conducted on students in an introductory EE course ($n\,\,= 79$) that measured affordance beliefs about the EE profession and tested associations with intensions to persist. The second study compared affordance beliefs and trait endorsements held by students in the introductory level course with those in an advanced EE courses ($n\,\,=51$). Findings: Mediation analysis revealed that the more novice students believe that EE allows them to fulfill prosocial goals, the greater their persistence intentions (95% CI: 0.01 to 0.34). This analysis also showed that agency beliefs were not strongly associated with persistence intensions. [ABSTRACT FROM AUTHOR]

Contribution: This paper presents a model for educational robotics tools and a corresponding set of heuristics for their development and evaluation specifically adapted to the needs and expectations in formal education settings. Background: The increased use of educational robots in classrooms, and the steadily growing number of alternatives from which to choose, bring the requirement for appropriate methods to develop and evaluate these tools. Yet the current body of literature does not provide comprehensive frameworks that allow this question to be adequately addressed. Although previous research has studied the use of educational robotics in classrooms, there is still a lack of methods to support their development and evaluation. Intended Outcomes: An evaluation framework to support researchers, engineers, educators, and decision makers in taking informed decisions about educational robotics systems. Application Design: This paper proposes to consider activities involving educational robotics tools as a kind of “educational augmented tabletop game.” Within this framework, a set of fourteen heuristics was devised, based on literature on games and learning tools. The validity of these heuristics was examined with a heterogenous group of twelve school teachers, who tested five different educational robotics systems. Findings: The participating teachers had a high level of approval for the heuristics devised. A heuristic evaluation based on the framework proposed here appeared to more appropriately reflecting the teachers’ needs than did conventional methods, namely the isolated comparison of system characteristics. [ABSTRACT FROM AUTHOR]

Contribution: This paper argues for a shift in how students’ team project experiences are assessed. Findings from this paper suggest that it is not enough to consider student-reported data in assessing team dynamics; hidden gendered behavior may be impacting students in ways that students do not realize or report. Background: Although the number of women in engineering is rising, difficulties still exist for female students in electrical engineering and computer science, particularly in team projects. Male and female students may have very different project experiences, due to differing levels of confidence/self-efficacy, difficult team dynamics, or inequitable task division. Research Questions: This paper aimed to elucidate what differences exist in the project experience between male and female students, considering self-reported measures (engineering confidence/self-efficacy, time spent on task, and team satisfaction) and observational study. Methodology: Students completed pre/post-project surveys, weekly logs, and post-project interviews to report and discuss their engineering confidence/self-efficacy, project task selection, and team satisfaction. This paper reports a case study of one student team, observed by a researcher throughout the project course. Findings: While student-reported data implied a lack of gender division (male and female students had the same levels of confidence, completed the same project tasks, and were similarly satisfied with their teams), the observational study implied that the student-reported data may not be telling the whole story. Given the difficult team dynamics observed in the student team (but not reported by students), findings suggest that difficult gender dynamics may go unrecognized by students. [ABSTRACT FROM AUTHOR]

Contribution: Portable learning instrumentation has become common in university classrooms and laboratories, but few publications assess the effects of these technologies on student retention. This paper addresses this under-researched connection between the use of portable learning technologies, incorporated into an Introduction to Computer Engineering course, and student retention. Background: The desire for active learning experiences has promoted the use of portable, hands-on technologies in classrooms and laboratories. However, published results from such efforts do not often assess the impact of such tools on student retention. In Fall 2015, the Kansas State University Department of Electrical and Computer Engineering overhauled an introductory computer engineering course, incorporating portable learning tools with the aims to increase student retention, where a secondary focus related to helping students understand the limitations of portable hardware platforms. Intended Outcomes: The goal was to improve student confidence and the retention of first- and second-year students who took the course. Application Design: Laboratory exercises used portable technologies and focused on hardware limitations. Summative surveys helped to quantify the impact of the new course structure on student confidence. The retention of first- and second-year students who took the course was also investigated. Findings: Survey results indicated that the course transformation positively affected student confidence (measured directly and indirectly). Retention of second-year students who took the course improved to a two-year average of 51%, from a 40% average for the three prior years. [ABSTRACT FROM AUTHOR]

Contribution: This paper furthers understanding of how to use studio culture to develop instruction that supports learners’ epistemic development in the context of an engineering senior design course, with a focus on student development of epistemic frames. Background: Current capstone engineering design courses do not integrate the educational theories and practice of cognitive apprenticeship combined with studio culture. Combined, these can be useful constructs for developing instruction that encourages creativity and innovation in a situated, student-centered, and activity-focused environment. Prior research and evidence-based instructional methods from other non-engineering contexts were used to create an instructional environment that engenders epistemic change. Research Questions: How do instructional design methods based on studio culture impact the cognitive and epistemic development of engineering students in a Senior Design course? Methods: This exploratory case study examines the effects of instructional design methods based on studio culture to change an Engineering Senior Design course from lecture-based to activity-based instruction in a collaborative environment. The case study emerges from a design-based research intervention, and uses mixed methods data collection from multiple sources, including video interviews, classroom footage, and written debrief reflections. Data analysis applied an integrated thematic approach. Implications were developed through an emergent coding process. Findings: Cognitive apprenticeship methods used in a studio culture-based classroom provide learning experiences that benefit epistemic and cognitive growth for engineering students in a Senior Design course. [ABSTRACT FROM AUTHOR]

Contribution: A systematic approach to MATLAB problem design and automated assessment is described, based on the experience working with the MATLAB server provided by MathWorks and integrated with the edX massive online open class (MOOC) platform. Background: New technologies, such as MOOCs, provide innovative methods to tackle new challenges in teaching and learning. However, they also bring challenges in course delivery and assessment, due to factors such as less direct student–instructor interaction. These challenges are especially severe in engineering education, which relies heavily on experiential learning, such as laboratory exercises and computer simulations, to assist students in understanding concepts. As a result, effective design of experiential learning components is extremely critical for engineering MOOCs. Intended Outcomes: This paper shares the experience gained through developing and offering an MOOC on communication systems, with special focus on the development and the automated assessment of MATLAB exercises for active concept learning. Application Design: The proposed approach introduced students to concepts by using learning components commonly provided by many MOOC platforms (e.g., online lectures and quizzes), and augmented the student experience with MATLAB-based computer simulations and exercises to enable more concrete and detailed understanding of the material. Findings: The effectiveness of the instructional methods was supported by evaluation of students’ learning performance. [ABSTRACT FROM AUTHOR]

Contribution: A conceptual model for task allocation among student teams in project-based learning (PBL) is proposed in this paper, along with a discussion on ways gender can affect teams’ apportioning of roles in inequitable ways in STEM PBL. Background: Studies find that men and women report taking on different roles in PBL projects, and that there is a relationship between team gender breakdown and students’ satisfaction with PBL teams, with teams less happy with the inclusion of more women. Both male and female students on teams with two or more women report lower team satisfaction than men on teams of just men, or men and women on teams with a single woman Research Questions: How do students self-select, negotiate, and allocate tasks on PBL teams? How does past PBL experience influence task allocation? How does gender affect task allocation? Methodology: First-year students (N = 60) completed reflections about task assignment during a semester-long PBL experience. Findings: Individual student characteristics that are related to gender—including interests, skills, experiences, and self-efficacy—interact with students’ goal orientations to lead to individual preferences regarding tasks. Ultimate task allocations are distributed in a non-gender-neutral way following individual preferences. [ABSTRACT FROM AUTHOR]

Contribution: This paper adds to existing literature on teaching basic concepts of electricity using computer-based instruction; findings suggest that students can develop an accurate understanding of electric circuits when they generate multiple and complementary representations that build toward computational models. Background: Several studies have explored the efficacy of computer-based, multi-representational teaching of electric circuits for novice learners. Existing research has found that instructional use of computational models that move from abstract to concrete representations can foster students’ comprehension of electric circuit concepts, but other features of effective instruction using computational models need further investigation. Research Questions: 1) Is there a correlation between students’ representational fluency and their ability to reason qualitatively on electric circuits? and 2) Is the quality of student-generated computational representations correlated to their conceptual understanding of electric circuits? Methodology: The study comprised two cases in which 51 sophomore-engineering students completed a voluntary assignment designed to assess their representational fluency and conceptual understanding of electric circuits. Qualitative insights from the first case informed the design of a scoring rubric that served as both the assessment and the data collection instrument. Findings: The results suggest that a multi-representational approach aimed at the construction of computational models can foster conceptual understanding of electric circuits. The number and quality of students’ representations showed a positive correlation with their conceptual understanding. In particular, the quality of the computational representations was found to be highly, and significantly, correlated with the correctness of students’ answers to qualitative reasoning questions. [ABSTRACT FROM AUTHOR]

Contribution: This paper provides evidence that computational creativity exercises (CCEs) can increase engineering students’ learning in introductory computer science (CS1) courses. Its main contribution is its more rigorous treatment/control group research design that allows testing for causal influences of CCEs on student learning and performance. Background: Computer science (CS) courses are critical foundational courses for engineering students. CCEs that merge computational and creative thinking have been shown to increase achievement and learning of engineering and nonengineering students in CS1 courses, but previous research has used quasi- and non-experimental designs. Intended Outcomes: CCEs are intended to improve students’ learning of CS1 content and problem-solving ability by fostering computational creativity. Application Design: CCEs can improve student learning and can be used to supplement other evidence-based instructional practices. Findings: Propensity score matching was used to create equivalent treatment and control groups; results show that students in the CCE implementation section had higher scores on a CS knowledge test than students in the control section, but not higher self-efficacy for their CS knowledge. Focus group and open-ended survey questions indicated that students had mixed reactions to the CCEs, with about half the students seeing them as improving their learning, understanding, and ability to apply CS in their engineering field. Responses also reinforced the importance of fully incorporating CCEs in courses and aligning them with course topics. [ABSTRACT FROM AUTHOR]