Search

Task interpretation is a critical first step for students in the process of self-regulated learning, and a key determinant when they set goals in their learning and select strategies in assigned work. This paper focuses on the explicit and implicit aspects of task interpretation based on Hadwin's model. Laboratory activities improve students' conceptual understanding, as they utilize cognitive ability to integrate the new experiences these provide. The purpose of this paper is to investigate how students' interpretation of a task assigned during laboratory work may change during the task process, and how this relates to their conceptual understanding. A total of 143 students enrolled in an electronics course participated in this paper. Instruments to measure task interpretation and conceptual understanding were created, piloted, and applied before and after selected laboratory activities over the semester. Findings suggest that while students' task interpretation changes during the task process, increasing after the completion of the laboratory activity levels of task interpretation are low. Previous research findings--that students generally have an incomplete understanding of the assigned tasks and struggle to establish a connection between laboratory activities and the theory--were confirmed. Lastly, this paper reports a significant relationship between students' task interpretation and their conceptual understanding in laboratory work. Further investigation is necessary to unveil other factors related to these constructs in order to engage students in laboratory work.

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: 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 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: 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]

Contribution: Student engagement and interest in engineering is compared between virtual and physical laboratory projects, designed to be realistic and replicate engineering practice. Reported motivation and engagement was greater in the virtual project than the physical projects. Results are interpreted in terms of the different affordances for instructional design using physical and virtual laboratories. Background: Interest is increasing in incorporating virtual laboratories in engineering curricula. Numerous studies report equal or greater gains in students’ conceptual understanding in a virtual laboratory than a corresponding physical laboratory, but many researchers question if virtual laboratories can stimulate the same level of excitement for engineering as physical laboratories. Research Questions: Do students’ self-reports of interest in engineering depend on the instructional design afforded by the laboratory mode? How do instructional designs of virtual and physical laboratory projects relate to students’ perceptions of engagement, their contribution to the team, and the transfer of prior coursework to meet project objectives? Method: In a within-subjects design, 118 students’ interest and engagement in two physical laboratory projects and one of two virtual laboratory projects in a senior-year capstone course is investigated. Separate principal components analyses were used to develop reliable scales for interest and for engagement. Findings: Students reported greater engagement, perceptions of contribution to their group’s learning, opportunities to transfer prior learning from coursework, and end-of-course interest in engineering problem solving in the virtual laboratory project rather than the physical laboratory projects. The positive outcomes are connected to instructional design through the affordances of the virtual laboratory. [ABSTRACT FROM AUTHOR]

Contribution: This article presents a study that adds evidence to the field of computer education by focusing on the interaction between shapes of tables, group size, and gender, and their effects on on-task collaborative learning actions. By studying the collaborative learning environment in the context of computer education, the aim is to understand how different on-task actions are affected by the mentioned factors. Background: Previous research on collaborative learning space in the collaborative computer education context with the focus on the group formation, gender aspect, and analysis of on-task actions. Research Questions: Do different table shapes have different effects on open-ended computer education on-task actions for different groups sizes (two and three participants) and for different genders? Methodology: In order to study a collaborative problem-solving activity that is based on creating a prototype of a responsive toy, two main conditions were examined: table shape (round or rectangular) and how this interacts with group size (two or three participants) and gender. University students were engaged in design tasks conducted in small groups following the Jigsaw pattern. Findings: Results show that students engage more in interaction with physical artifacts when collaboration is conducted in dyads. In terms of gender, the analysis shows a tendency of female students to engage more when the activity is conducted in dyads. Furthermore, the combination of a dyad structure and a round table resulted in more discussion and nonverbal interaction. [ABSTRACT FROM AUTHOR]

Contribution: This multicase study compares computer orchestrated learning together (COLT) and student orchestrated learning together (SOLT) in cooperatively preparing first year university students for collaborative activities. COLT using computer orchestrated group learning environment (COGLE) was perceived efficient, effective, and inclusive for team effectiveness as it helps build domain knowledge and trust between neurologically typical (NT) and/or neurologically atypical (NAT) teammates. This study confirms existing and identifies two new antecedents for trust, namely, resolving cognitive conflicts and real-time updates to domain knowledge. Background: Industrial and organizational psychology literature links effective teamworking with domain knowledge and trust. Building team trust within a short period can be challenging, in particular in mixed teams of NT and NAT students. Facilitating teamwork can be resource hungry. Educational studies on trust and teamwork are therefore rare. Research Questions: This study investigates how orchestration affects teamwork by asking: 1) how does computer and student orchestration affect domain knowledge acquisition in NT and NAT students? and 2) how does computer and student orchestration affect the development of trust between NT and/or NAT students? Methodology: Both qualitative and quantitative data were captured at multiple points within multiple (literal and theoretical replication) cases. Case summaries and a cross-case analysis provided further data and the methodological triangulation needed for analytical generalization. Findings: COGLE’s scaffolding and nonsocial prompts for cooperation, shared goal orientation, shared monitoring, and shared working not only helped NT and NAT students learn together but also helped develop team-trust quickly. Delayed interactions, low team-trust, and clique formation were seen in SOLT teams. [ABSTRACT FROM AUTHOR]

Contribution: Reflection is a critical skill because it involves thinking about and reviewing one’s work. It contributes to self-regulatory, metacognitive behaviors when practiced regularly. In this research, a unique approach to promote reflection via SPICE simulation after quizzes in a microelectronics course was studied. Background: This study aligns with recent calls from the engineering education community for increased use of systematic reflection. Intended Outcomes: Anticipating the lack of experience with reflection, the authors intended for students to gain experience and realize its benefits. Application Design: Repeated reflection occurred with the review of weekly quiz or exam results after submission via SPICE and question prompts. Reflections were analyzed by the authors for depth. Pre and postsurveys assessed student perspectives on reflection. Findings: When reflective depth levels after an initial quiz were associated with subsequent exam results, students who achieved significantly higher results unexpectedly reflected at the lowest level. This suggested the prompts were not designed to challenge all students to reflect. After a subsequent quiz, an overall lower average depth level and an increased number of reflections at the lowest depth level suggested potential fatigue with the reflective prompts. The presurvey had illustrated the lack of experience with reflection and hence, an opportunity. The postsurvey demonstrated highly positive views on reflection, including the development of metacognitive skills. Although the question prompts were likely not designed for optimal reflection, repeated reflection nonetheless made a positive impression on students in need of such experience. Applying these lessons learned may therefore lead to even greater outcomes with reflection. [ABSTRACT FROM AUTHOR]

Contribution: This article explores the impact of the combination of various pedagogical approaches to deliver high-quality learning experiences for online-based engineering students. Though existing research extensively studied online education approaches, limited research has investigated how to bridge the gap between online cloud-based and campus-based students more effectively for obtaining hands-on engineering skills. Background: Given that engineers aim to solve real-world problems, engineering graduates need to obtain relevant experiences for employability. However, it is challenging to deliver such experiences in online education, which motivates innovative ways to integrate practical experiments in Web-based resources. Intended Outcomes: Practical and industry-relevant skills with flexibility in terms of time and pace of learning are intended to be achieved in the teaching framework which is expected to improve learning experiences for online students. Application Design: The adopted mixed pedagogical approach revolves around real-life problem-based learning delivered in the online mode using recorded experiments on energy-efficient design for three cohorts of the fourth-year engineering students, two of which are completely cloud-based students and the other one has a mix of on-campus and cloud-based students. Findings: The effectiveness of the adopted approach is measured through quantitative and qualitative evaluation tools. The evaluation demonstrated that cloud student engagement and motivation improved substantially by integrating explicit, analytical, as well as embodied learnings while enabling them to perform equally well as compared to the campus-based students. [ABSTRACT FROM AUTHOR]

Contribution: This article presents agile software engineers stick together (ASEST+), an improved version of a framework called ASEST that aims to develop team cohesion, leading to better team learning and software engineering student teams. Background: Effective teamwork is crucial for agile software development’s success and is, therefore, a key topic of current software engineering education. In the previous work, a preliminary proposal for ASEST+ was presented. Here, an improved version, more suitable for agile practice education and considering cohesion antecedents, is described. Intended Outcome: A teaching-learning framework to support teamwork in agile software education. Application Design: ASEST+ is built around Scrum teams and combines learning strategies to train students in collaborative and technical agile practices. ASEST+ establishes policies for role allocation and team rule agreements to regulate communication and address conflict management agile practices. ASEST+ addresses personality traits, conflict resolution, and task interdependence as the antecedents identified as the most important. Findings: A quasiexperiment showed that the use of ASEST+ significantly increases the students’ positive perceptions on team cohesion, team performance, and team learning compared with the control group. [ABSTRACT FROM AUTHOR]

Contribution: This article presents the design of in-game tools to support learning within an educational video game and investigates the impact of tool usage on engineering students’ performance in an introductory digital circuit design course. Background: Despite the level of appeal of video games to college students, there is a lack of empirical evidence of how to design effective games to address educational goals. One component of games that can serve as a support mechanism to help players be successful in the game is the in-game tools. This article investigates the impact of three types of instructional in-game tools on engineering students’ performance on digital circuit design tasks. Research Questions: To what extent do different types of in-game tools (content-specific instructional guidance tool, scaffold, and productivity tool) contribute to players’ performance on digital circuit design tasks? Methodology: This article presents the design of an educational video game to teach digital circuits design. It presents three discrete types of in-game tools and investigates their impact on students’ learning performance. For this investigation, multiple regression analysis was used to show the relations between the tools and learning performance (${N}=176$). Findings: The results show the player use of tools that provide content-specific instructional guidance and scaffolding for troubleshooting is correlated with their learning performance. The productivity tool did not significantly contribute to the learning performance of the students. [ABSTRACT FROM AUTHOR]

Contribution: Results and conclusions on the use of transactive memory system (TMS) in software engineering (SE) education in student project teams that consist of undergraduate and postgraduate students are documented. This can be valuable for the adoption of this learning approach and team formation by other universities and institutes. Background: Preparing students for the SE industry requires bringing them in close collaboration to real-world tasks. This is usually performed via students carrying out software projects, working in teams. In such environments, the knowledge sharing and the interactions within the team are worth investigating, as they can affect the outcome of the student collaboration and can provide insight on how the collaboration is valued by the team members. Research Questions: 1) What is the effect of TMS on students in SE education? 2) Do parameters, such as gender, affect TMS development? 3) Does the inclusion of a project manager with more expertise affect TMS? Methodology: Students were divided into teams working on SE projects. Teams consist of both undergraduate and postgraduate students. Data from students on TMS for consecutive academic years were gathered. Findings: TMS is present in student teams and some of its scale items are affected by parameters, such as the team composition and the project type. TMS also affects performance. [ABSTRACT FROM AUTHOR]