Search Results (210)

Educator agency in the form of choice over learning experiences is widely thought to enhance educator engagement and instructional improvement, yet causal evidence is scarce. We conducted a preregistered randomized controlled trial in an online computer science course with volunteer instructors who teach students worldwide. All instructors (N = 583) received automated feedback on their instruction, with half randomly assigned to have choice over the feedback topic. Choice alone did not increase feedback engagement or yield observable changes in practice, but it raised student attendance—an effect that was strongest for instructors who voluntarily engaged with additional training resources, including training modules and teaching simulations. For this subset of instructors, having choice over feedback had significant positive impacts on their instruction and student outcomes compared to the control group. This suggests that agency in choosing feedback topics may be most effective when combined with instructors’ intrinsic motivation to pursue self-directed improvement. Our study also demonstrates a scalable method for testing design principles in educator training and underscores the need to examine when, how and for whom agency might drive improvement. Full article

Computational thinking (CT) is a cognitive approach for solving problems using the concepts of algorithmic thinking, decomposition of a problem into components, identifying patterns among commonly occurring activities, and abstraction. CT promotes interdisciplinary learning and enhances problem-solving and logical reasoning abilities. In this study, a comprehensive analysis of the current issues and challenges of applying CT in the educational landscape is presented with a focus on the various assessment tools and their implementation in teaching methods. The study identifies the various techniques that can be used by educators to evaluate the skills of students based on their ability to solve problems that require CT. A systematic review of the available literature and related works was conducted to analyze their importance in CT, as well as their issues and challenges. This study finds that there is a need for a unified definition and implementation guidelines on CT. The available assessment tools mainly focus on programming constructs, leaving little room for evaluating abstract concepts as challenges in the field; hence, designing and developing assessment mechanisms are also required for effective implementation of CT in an academic context. Full article

As an introductory core course in computer science and related fields, “Fundamentals of Programming” has always faced many challenges in stimulating students’ interest in learning and cultivating their practical coding abilities. The traditional teaching model often fails to effectively connect theoretical knowledge with practical applications, resulting in a low retention rate of students’ learning and a weak ability to solve practical problems. Digital twin (DT) technology offers a novel approach to addressing these challenges by creating dynamic, virtual replicas of physical systems with real-time, interactive capabilities. This study explores DT integration in programming teaching and its impact on learning engagement (behavioral, cognitive, emotional) and skill acquisition (syntax, algorithm design, debugging). A quasi-experimental design was employed to study 135 first-year undergraduate students, divided into an experimental group (n = 90) using a DT-based learning environment and a control group (n = 45) receiving traditional instruction. Quantitative data analysis was conducted on participation surveys, planning evaluations, and qualitative feedback. The results showed that, compared with the control group, the DT group exhibited a higher level of sustained participation (p < 0.01) and achieved better results in actual coding tasks (p < 0.05). Students with limited coding experience showed the most significant progress in algorithmic thinking. The findings highlight that digital twin technology significantly enhances engagement and skill acquisition in introductory programming, particularly benefiting novice learners through immersive, theory-aligned experiences. This study establishes a new paradigm for introductory programming education by addressing two critical gaps in digital twin applications: (1) differential effects on students with varying prior knowledge (engagement/skill acquisition) and (2) pedagogical mechanisms in conceptual visualization and authentic context creation. Full article

Active learning strategies and methodologies place the students at the core of the learning process. The objective is to engage students in their own learning through significant activities that involve active participation. These activities are designed to promote collaboration, reflection, and practical application of the knowledge acquired to develop cognitive, social, and emotional competences. These methodologies are of particular interest in STEM disciplines and vocational education, where practice is a key element in the assimilation of theoretical concepts. In this line, a case study is presented where active methodologies have been applied to two groups of Vocational Education and Training in the area of Computer Science to improve interest and commitment. The present study focuses on two groups of first-year students enrolled in the Web Application Design course, one in the Programming subject and the other in the Markup Language subject. Both groups are heterogeneous, composed of young adults with significantly different backgrounds, skills, and motivation. The teaching–learning process is based on active methodologies, such as Project-Based Learning, Design Thinking, Flipped Classroom, or gamification, which are adapted for different subjects in the field of Computer Science. These methodologies facilitate the experimental design and testing of diverse solutions for programming problems, thereby enhancing students’ motivation and interest, while promoting creativity and reflection. The results show an improvement in the interest and commitment of the students in both groups. Despite the fact that less than 50% of students successfully passed in the initial examination, more than 75% students passed after the second-chance examination. The findings have consistently suggested that the implementation of active methodologies leads to significant enhancements in the proficiency, development, motivation, and self-learning capabilities of students, and that these methodologies make students more aware of their learning process. Full article

Digital competence refers to the integration of digital technology in teaching and learning, as outlined in the national curriculum of Estonia for upper secondary schools. This study presents original research findings on Estonian science teachers’ use of digital tools and materials, their digital competence, and the main benefits and challenges they face. The findings emphasize the need for continued professional development, accessible digital resources, and equitable digital infrastructure to maintain Estonia’s leadership in digital science education. A survey of 58 secondary school science teachers revealed that computers (desktops, laptops, and tablets) are the primary digital tools used. The article explores digital literacy advancements in secondary science education, research methodologies used to assess digital tool usage, and key findings from recent studies. However, challenges such as digital equity, technological barriers, and digital fatigue persist. Additionally, discrepancies were found in teachers’ responses regarding digital tool effectiveness, implementation strategies, and perceived barriers. While some teachers reported a successful integration and improved student outcomes, others highlighted difficulties in aligning digital resources with curriculum requirements and pedagogical approaches. Full article

This study presents the outcomes of the Erasmus+ European project Higher Education Classroom of the Future (HECOF), with a particular focus on chemical engineering education. In the digital era, the integration and advancement of artificial intelligence (AI) in higher education, especially in engineering, are increasingly important. The main goal of the HECOF project is to establish a system of new higher education teaching practices and national reforms in education. This system has been developed and tested through an innovative personalized and adaptive method of teaching that exploited digital data from students’ learning activity in immersive environments, with the aid of computational analysis techniques from data science. The unit operations—extraction process course—a fundamental component of the chemical engineering curriculum, was selected as the case study for the development of the HECOF learning system. A group of undergraduate students evaluated the system’s usability and educational efficiency. The findings showed that the HECOF system contributed positively to students’ learning—although the extent of improvement varied among individuals—and was associated with a high level of satisfaction, suggesting that HECOF was effective in delivering a positive and engaging learning experience. Full article

Lublin University of Technology has been offering computer science studies for over 25 years. From the beginning, computer graphics have played a crucial role in the studies program. The Lab3D international efforts aimed at cultural heritage 3D digitization allowed for enriching the regular introductory course of computer graphics with elements of digitized real-life heritage, without disturbing the regular didactic process, nor the scope of the course learning outcomes. Such an activity was aimed at increasing the students’ engagement in learning and fits into the contemporary trend of including real-life cases in the course of teaching. The article presents the curriculum (including the changes introduced) together with an extensive analysis of the effect of such changes on students’ achievements. In total, 3042 grades of 1522 students from the years 2018–2024 underwent statistical analysis in order to support answering placed hypotheses related to keeping the effects positive or neutral. Luckily, students’ achievements did not worsen, and in fact significantly improved. To the authors’ knowledge, such an analysis in relation to computer graphics courses has never been published before. Full article

Competency-based assessment in engineering education is becoming increasingly critical as the profession faces rapid technological advances and the growing need for cross-cutting competencies. This paper introduces SmartRubrics, an AI-based tool designed to support the automated generation of competency-based assessment rubrics. The development of this tool is based on a systematic literature mapping study conducted between 2019 and 2024, which identified key gaps, such as the limited integration of digital tools and the under-representation of transversal skills in current assessment practices. By addressing these gaps, SmartRubrics aims to support the standardisation, accessibility, and potential enhancement of competency-based assessment practices, aligned with UNESCO’s Sustainable Development Goal 4 (SDG4). Preliminary testing of the prototype with computer science educators has provided valuable information on the effectiveness of the tool and areas for improvement. Future work includes further experimental validation in real educational settings to assess the impact of the tool on teaching and learning practices. Full article

With the need to ensure equitable and inclusive computer science (CS) education for K-12 students, much effort has been devoted to promoting secondary CS teachers’ practices and pedagogies. However, there is a lack of focus on elementary teachers’ experiences, especially those of teachers of color. This study stands at the intersections of Black/African American teachers teaching at an elementary school with a majority of historically underrepresented and economically disadvantaged students (Black/African Americans and Hispanic/Latinx). Using a basic qualitative approach with constant comparative analysis, this study revealed important insights regarding the professional growth manifested by six teachers of color over the course of computer science professional development and classroom implementation. Data analysis revealed five main themes reflecting the teachers’ growth: (1) Teachers reported positive outcomes including improved understanding, confidence, and intentions regarding CS integration as a result of attending PD; (2) Teachers demonstrated enhanced abilities to use a variety of tools and resources in CS teaching after PD; (3) Teachers discussed various pedagogies, including culturally and personally responsive pedagogical practices, and racial awareness to promote inclusive instruction in the classroom and used strategies to promote personal relevance more than the collective cultural values or beliefs in CS teaching specifically; (4) Teachers reported having ongoing reflections on how they can implement successful CS-integrated instruction with their enhanced knowledge and beliefs; (5) Positive student outcomes were both reported by the teachers and observed by the researchers as a result of teachers’ experimentation, which gave the teachers more confidence to enact CS teaching. Areas for improvement were also identified. This paper discussed the important implementations of fostering professional growth in teachers of color for broadening minoritized students’ participation in computing. Full article

This study examines students’ perceptions of the subjects geography, mathematics, and computer science in integrated science, technology, engineering, and mathematics (STEM) lessons. Although the importance of an integrated approach in STEM education is emphasized, researchers are not clear about whether students perceive connections between the subjects on the one hand and subject-specific working methods and content in integrated lessons on the other. Data was collected in an integrated teaching unit on the sustainability of apples using an open-ended digital questionnaire in to two ninth grade classes in Hamburg, Germany (n = 38); this data was analyzed using qualitative content analysis. The results reveal that students perceive the subjects differently, but similarities can also be identified. While subject-specific content is perceived—such as the use of maps in geography, the calculation of volumes in mathematics, and Dijkstra’s algorithm in computer science—methodological connections, such as calculating, analyzing diagrams, or solving problems, are anchored across disciplines. This suggests that the subject-specific contents are not lost in integrating lessons, and that connections among the subjects are, to a certain extent, promoted. Full article

Background: Teaching methodology has recently undergone significant evolution from traditional apprenticeship models as we adapt to ever-increasing rates of technological advancement. Big data, artificial intelligence, and machine learning are on the precipice of revolutionising all aspects of surgical practice, with far-reaching implications. Robotic platforms will increase in autonomy as machine learning rapidly becomes more sophisticated, and therefore training requirements will no longer slow innovation. Materials and Methods: A search of published studies discussing surgeon training and computer-enhanced simulation robotics and emerging technologies using MEDLINE, PubMed, EMBASE, Scopus, CRANE, CINAHL, and Web of Science was performed in January 2024. Online resources associated with proprietary technologies related to the subject matter were also utilised. Results: Following a review of 3209 articles, 91 of which were published, relevant articles on aspects of robotics-based computer-enhanced simulation, technologies, and education were included. Publications ranged from RCTs, cohort studies, meta-analysis, and systematic reviews. The content of eight medical technology-based websites was analysed and included in this review to ensure the most up-to-date information was analysed. Discussion: Surgeons should aim to be at the forefront of this revolution for the ultimate benefit of patients. Surgical exposure will no longer be due to incidental experiences. Rather, surgeons and trainees will have access to a complete database of simulated minimally invasive procedures, and procedural simulation certification will likely become a requisite from graduation to live operating to maintain rigorous patient safety standards. This review provides a comprehensive outline of the current and future status of surgical training in the robotic and digital era. Full article

The linguistic summarization of data is one of the study trends in data mining because it has many useful practical applications. A linguistic summarization of data aims to extract an optimal set of linguistic summaries from numeric data. The blended learning format is now popular in higher education at both undergraduate and graduate levels. A lot of techniques in machine learning, such as classification, regression, clustering, and forecasting, have been applied to evaluate learning activities or predict the learning outcomes of students. However, few studies have been examined to transform the data of blended learning courses into the knowledge represented as linguistic summaries. This paper proposes a method of linguistic summarization of blended learning data collected from a learning management system to extract compact sets of interpretable linguistic summaries for understanding the common rules of blended learning courses by utilizing enlarged hedge algebras. Those extracted linguistic summaries in the form of sentences in natural language are easy to understand for humans. Furthermore, a method of detecting the exceptional cases or outliers of the learning courses based on linguistic summaries expressing common rules in different scenarios is also proposed. The experimental results on two real-world datasets of two learning courses of Discrete Mathematics and Introduction to Computer Science show that the proposed methods have promising practical applications. They can help students and lecturers find the best way to enhance their learning methods and teaching style. Full article

Online education provides a wide range of possibilities in order to setup active learning environments. Different dimensions related to the teaching/learning process are available in such environments, although the focus in this paper is set on just three. Those are the space where this process takes place, the time when this process is undertaken, and the language in which this process is carried out. Some combinations of those three dimensions were deployed in a course on computer science in the current academic year, and the results obtained were compared to those achieved in the previous academic year with a traditional environment. Results exhibited an increase of over 17% in academic performance, as well as an increase of over 16% in success rate, which may be due to the motivation of the learners with this innovative approach. A T-test was applied to the results in both years, obtaining a p-value of 0.017, thus showing that the outcome obtained was statistically significant. However, the sample size was calculated considering the effect size attained, namely 0.64, as well as an alpha value of 0.05 and a power of 0.8, leading to the conclusion that the size of the sample involved, namely 30 learners, was not sufficient to detect the effect size desired. Therefore, further research should be carried out with larger groups. Full article

In this study, an ICT course is redesigned with a blended learning concept. This course aims to teach an introduction to game technology in the following three main topics: ‘Introduction to Computer’, ‘Game software technology’, and ‘Game art technology’. Basic computer science concepts such as binary numbers, algebra, vectors, data structure, computer graphics, and artificial intelligence (AI) are introduced in this course. In the flipped classroom, insufficient preparation of students before class and an increased workload of students and teachers are the challenges to overcome. Active learning is carried out in the classroom, as it enhances students’ concentration in the classroom. The pre- and post-test was used to investigate the effects of in-class and out-of-class activities in this method. In this study, active learning was applied to flipped classrooms in this course, and its learning effects were compared with that of the traditional method. The learning outcomes of active learning were significantly improved. In-class activity had significant effects on the outcome quantitatively and qualitatively. The learning outcomes of out-of-class activities for which students were usually insufficiently prepared were also improved. Full article

Despite substantial instructional attention to large-enrollment university courses in science, technology, engineering, and mathematics (STEM), they tend to have high rates of D, F, and Withdraw (DFW) at the introductory level that disproportionally disadvantage historically minoritized and underrepresented students, such as students identified as women, low-income, first-generation, or of color. While postsecondary institutions have recently explored big data and learning analytics to drive their institutional student success efforts, well-known shortfalls in student success in large STEM courses remain. This chapter documents an evidence-based approach at a large, R1 midwestern university that enriches robust data infrastructure with qualitative ethnographic methods. Applied to a gateway computer science course, these methods center students’ day-to-day learning realities, including disparate educational opportunities, in ways that interrogate barriers to and shortfalls in student success. The resulting case study describes our ethnographic approach, the shortfalls it uncovers, our future directions with this work, and how other faculty members and institutions can apply lessons learned to promote efficacy, attainment, and equity in gateway STEM courses. Implementations drawn from course vignettes point to revisions in design and preparation of group learning activities, strategic integration of lecture and lab sessions, course navigation aids, and pedagogical training for teaching assistants. Full article