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Connected Code
Coding, once considered an arcane craft practiced by solitary techies, is now recognized by educators and theorists as a crucial skill, even a new literacy, for all children. Programming is often promoted in K-12 schools as a way to encourage \"computational thinking\" -- which has now become the umbrella term for understanding what computer science has to contribute to reasoning and communicating in an ever-increasingly digital world.InConnected Code,Yasmin Kafai and Quinn Burke argue that although computational thinking represents an excellent starting point, the broader conception of \"computational participation\" better captures the twenty-first-century reality. Computational participation moves beyond the individual to focus on wider social networks and a DIY culture of digital \"making.\" Kafai and Burke describe contemporary examples of computational participation: students who code not for the sake of coding but to create games, stories, and animations to share; the emergence of youth programming communities; the practices and ethical challenges of remixing (rather than starting from scratch); and the move beyond stationary screens to programmable toys, tools, and textiles.
eBook
Individual differences in online and computer-based learning : gifted and other diverse populations
\"In 1894 John Dewey established his experimental laboratory school at the University of Chicago, with a focus on teaching each student according to their individual differences. This concept indicated a shift away from the emphasis on communal, classroom teaching, which marked educational practices in the nineteenth century during the advent of widely available public education. With the introduction of computer-based online instruction in schools, curricula are able to be fully informed by individual difference, subtly and quickly tracking students' progress. In these courses, teachers play the role of troubleshooters instead of lecturers. Individual Differences examines a large number of studies on computer-based and online instruction, with special attention paid to gifted students in the fields of mathematics, science, technology, and engineering. Other chapters also focus on a wide variety of student populations: deaf students, American Indian rural students, and underachieving, impoverished students. \"-- Provided by publisher.
Book
Multimodal learning analytics of collaborative patterns during pair programming in higher education
Pair programming (PP), as a mode of collaborative problem solving (CPS) in computer programming education, asks two students work in a pair to co-construct knowledge and solve problems. Considering the complex multimodality of pair programming caused by students’ discourses, behaviors, and socio-emotions, it is of critical importance to examine their collaborative patterns from a holistic, multimodal, dynamic perspective. But there is a lack of research investigating the collaborative patterns generated by the multimodality. This research applied multimodal learning analytics (MMLA) to collect 19 undergraduate student pairs’ multimodal process and products data to examine different collaborative patterns based on the quantitative, structural, and transitional characteristics. The results revealed four collaborative patterns (i.e., a consensus-achieved pattern, an argumentation-driven pattern, an individual-oriented pattern, and a trial-and-error pattern), associated with different levels of process and summative performances. Theoretical, pedagogical, and analytical implications were provided to guide the future research and practice.
Journal Article
Students' Experiences of E-learning in Higher Education
Students' Experiences of e-learning in Higher Education helps higher education instructors and university managers understand how e-learning relates to, and can be integrated with, other student experiences of learning. Grounded in relevant international research, the book is distinctive in that it foregrounds students' experiences of learning, emphasizing the importance of how students interpret the challenges set before them, along with their conceptions of learning and their approaches to learning. The way students interpret task requirements greatly affects learning outcomes, and those interpretations are in turn influenced by how students read the larger environment in which they study. The authors argue that a systemic understanding is necessary for the effective design and management of modern learning environments, whether lectures, seminars, laboratories or private study. This ecological understanding must also acknowledge, though, the agency of learners as active interpreters of their environment and its culture, values and challenges.
Students' Experiences of e-learning in Higher Education reports research outcomes that locate e-learning within the broader ecology of higher education and:
Offers a holistic treatment of e-learning in higher education, reflecting the need for integrating e-learning and other aspects of the student learning experience
Reports research on students' experiences with e-learning conducted by authors in the United States, Europe, and Australia
Synthesizes key themes in recent international research and summarizes their implications for teachers and managers.
eBook
e-Learning and the science of instruction : proven guidelines for consumers and designers of multimedia learning
The authors offer useful information and guidelines for selecting, designing, and developing asynchronous and synchronous e-Learning courses that build knowledge and skills for workers learning in corporate, government, and academic settings.
Book
Culture and online learning
Culture plays an overarching role that impacts investment, planning, design, development, delivery, and the learning outcomes of online education. This groundbreaking book remedies a dearth of empirical research on how digital cultures and teaching and learning cultures intersect, and offers grounded theory and practical guidance on how to integrate cultural needs and sensibilities with the innovative opportunities offered by online learning. (HRK / Abstract übernommen).
eBook
An assessment of student satisfaction with e-learning: An empirical study with computer and software engineering undergraduate students in Turkey under pandemic conditions
As COVID-19 reached Turkey in March 2020, all universities switched to e-learning in a very short period. Computer and software engineering (CE/SE) undergraduate students studying at university campuses have switched to e-learning. This paper seeks to understand the e-learning experience of CE/SE undergraduate students. A questionnaire was created and applied to CE/SE undergraduate students in Turkish universities. The data were analyzed using quantitative and qualitative techniques. The questionnaire received 290 usable responses. The highlights from the findings include: the participants (1) used video recordings intensively for e-learning and found them useful; (2) found face-to-face lectures more beneficial compared to digital live lectures; (3) used external online resources to improve their learning performance in courses; (4) thought that the materials and methods utilized for assessment should be adapted to e-learning for a better and fair evaluation; (5) perceived significantly less instructor support and classmate interaction and collaboration in e-learning compared to on-campus education settings; (6) rated their perceived satisfaction from e-learning as 2.85, slightly under the mid-level of the 5-point Likert scale; (7) perceived instructor support, student interaction and collaboration, and student autonomy as noteworthy factors in high-quality e-learning.
Journal Article