Article
Computer Science, Interdisciplinary Applications
Yanqing Wang, Shaoying Gong, Yang Cao, Weiwei Fan
Summary: The goal of this study was to investigate the effects of affective pedagogical agent (PA) and student-generated explanation on learners' affective processing, visual attention, and learning outcomes. The results showed that students who learned with a positive PA paid more attention to relevant elements of the materials and performed better on learning outcomes than those who learned with a neutral PA. Self-explanation facilitated visual processing and learning outcomes. Positive PA accompanying self-explanation increased intrinsic motivation and resulted in best learning performance.
COMPUTERS & EDUCATION
(2023)
Article
Education & Educational Research
Zheng Zhang
Summary: A case study was conducted to explore the complex nature of critical literacies practices in a transnational education program. The study identified three pedagogical approaches to critical literacies in English classrooms and highlighted the importance of critical reading in Mandarin classes. The findings demonstrated how various factors, such as multiculturalism, technological materiality, and students' cross-border experiences, influenced the enactment of critical literacies.
LINGUISTICS AND EDUCATION
(2023)
Article
Education & Educational Research
Etienne Nzaramyimana, Odette Umugiraneza
Summary: This paper investigates how secondary school teachers in the Musanze district of Rwanda understand and integrate technology to teach mathematics, and explores the demographic factors associated with their use of technology. The results reveal variations in teachers' understanding and frequency of technology use, and significant associations with gender, level of education, and other factors. The study suggests the need for teacher training to enhance their use of technology in the classroom.
EDUCATION AND INFORMATION TECHNOLOGIES
(2023)
Review
Computer Science, Interdisciplinary Applications
Laduona Dai, Merel M. Jung, Marie Postma, Max M. Louwerse
Summary: Technological advancements have allowed researchers to develop increasingly human-like agents for educational purposes, but the extent to which agent design features contribute to effective learning experiences remains inconclusive. This systematic review examines pedagogical agent research conducted from 2010 to 2021, focusing on experimental design and instrumentation. The review highlights shortcomings in the field, such as limited attention to the human-likeness of agents and underrepresentation of the K12 population. It also notes the underutilization of pedagogical agents in virtual reality environments despite their potential for promoting learning.
COMPUTERS & EDUCATION
(2022)
Article
Humanities, Multidisciplinary
Abede Jawara Mack, Daniel White, Osiris Senghor
Summary: Technical Vocational Education and Training (TVET) is vital for global economic stability, while entrepreneurship education equips young people with essential skills to become employers. Marrying TVET and entrepreneurship education can benefit countries like Trinidad and Tobago (T&T). The research explored the impact of exposing Post-Secondary TVET students to entrepreneurial training, revealing a positive relationship between entrepreneurship education exposure and interest in entrepreneurial pursuits. The study also highlighted the challenges faced by TVET in T&T and proposed a model for incorporating entrepreneurship education into post-secondary training.
HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS
(2021)
Article
Education & Educational Research
Grace MyHyun Kim, Jennifer Higgs
Summary: This mapping review examines how digital technologies have been used by researchers in secondary literacy teacher education to address equity issues over the past 20 years. The findings indicate that technology has been employed to address racial and cultural disparities, foster critical reflection among teachers, tackle resource access issues, and expand teachers' understanding of literacy. The reviewed studies analyze the advantages and limitations of technology use for equitable learning and how the choice of technology shapes the learning environment. Along with a synthesis of these findings, the article provides conceptual and practical implications for teacher educators and secondary literacy teachers interested in utilizing digital technology to promote equitable learning for social change.
TECHNOLOGY PEDAGOGY AND EDUCATION
(2023)
Article
Computer Science, Interdisciplinary Applications
Onur Donmez, Yavuz Akbulut
Summary: Empirical studies suggest that multitasking is associated with negative learning outcomes, as found in this experiment where the control group outperformed the multitasking groups. These findings may guide future research on multitasking performance and interactive video design in online learning environments.
COMPUTERS & EDUCATION
(2021)
Article
Education & Educational Research
Marash T. Koshanova, Akbidash K. Abdirkenova, Perizat B. Seiitkazy, Zhazira T. Koshanova, Amanbay A. Seitkassymov
Summary: This article explores the formation of creativity in future psychological and pedagogical specialists in a new type of society, utilizing various research methods and theoretical foundations. The study highlights the potential of developing students' creative abilities through new media technologies and innovative teaching methods, as well as the application of media technologies in the professional training of future educational psychologists in innovative educational processes at universities.
THINKING SKILLS AND CREATIVITY
(2021)
Article
Green & Sustainable Science & Technology
Tyler S. Love, Kenneth R. Roy
Summary: This study examined accidents and safety factors in secondary-level construction courses compared to other technology and engineering education courses. The analysis revealed a higher number of minor accidents in construction courses and identified 20 safety factors associated with accident occurrences. Notably, major accident occurrences increased when class sizes exceeded 20 students, and construction courses had more accidents involving hand and power tools.
Article
Education & Educational Research
Corinna Moench, Silvija Markic
Summary: This study validates and describes the Pedagogical Scientific Language Knowledge (PSLK) model through interviews with chemistry teachers. The interviews identify new elements and describe factors influencing the development of PSLK. The findings have implications for fostering PSLK during teacher preparation.
CHEMISTRY EDUCATION RESEARCH AND PRACTICE
(2023)
Article
Public, Environmental & Occupational Health
Atta Ur Rehman, Rubeena Zakar, Muhammad Zakria Zakar, Ume Hani, Kamil J. Wrona, Florian Fischer
Summary: Media public health awareness campaigns have played a significant role in increasing awareness and knowledge about COVID-19 among the general population in Rawalpindi, Pakistan over time. Socio-demographic characteristics were not significantly associated with knowledge gains, but more frequent use of electronic media was linked to greater knowledge gains from the first survey to the second survey. Increased frequency of following the media indicates the importance of health awareness campaigns for enhancing public knowledge of COVID-19.
FRONTIERS IN PUBLIC HEALTH
(2021)
Article
Mechanics
Peter Varun Dsouza, Prabhu R. Nott
Summary: Granular materials exhibit unique features such as dilatancy and large-scale secondary flow driven by a combination of shear and gravity. The height at which the material is filled in a primary flow determines both the shape of the shearing region and the form of the secondary flow, indicating a close coupling between the two phenomena. Unlike fluid instabilities driven by inertia, the secondary flow in granular materials occurs at low shear rates and is an integral part of the kinematic response.
JOURNAL OF FLUID MECHANICS
(2021)
Article
Communication
Eva Herrero-Curiel, Leonardo La-Rosa
Summary: This paper provides an updated overview of how students in Spanish public schools approach the media, inform themselves, discern the news, and deal with the rise of infodemic and disinformation. It also investigates teachers' opinions on the media deficiencies among their students. The findings reveal that high school students primarily rely on social networks, television, and personal connections for information. They struggle with differentiating between factual information and opinion, and a significant proportion are unable to identify fake news.
Review
Education & Educational Research
Bahar Memarian, Tenzin Doleck
Summary: This article summarizes the pedagogical practices and tools used in data science education at the higher education level through a systematic literature review. The study finds that the content presented in data science education is diverse and difficult to compare. The study also examines the technological and pedagogical knowledge quality of the reviewed studies and lists the tools employed in each study.
EDUCATION AND INFORMATION TECHNOLOGIES
(2023)
Review
Psychology, Developmental
Melissa H. Black, Melissa Scott, Elliot Baker-Young, Craig Thompson, Sarah McGarry, Maya Hayden-Evans, Zelma Snyman, Frank Zimmermann, Viktor Kacic, Torbjorn Falkmer, Marcel Romanos, Sven Boelte, Sonya Girdler, Benjamin Milbourn
Summary: Suicide among post-secondary students is a significant public health concern. While there have been studies on suicide prevention programs, the effective elements of these interventions are still unknown. This study reviewed the literature and identified potential effective elements of suicide prevention programs for post-secondary students. Gatekeeper training programs were found to be the most common type of intervention. These programs have the potential to improve students' engagement with mental health services, knowledge, help-seeking attitudes and behaviors, and gatekeeper-related outcomes.
EUROPEAN CHILD & ADOLESCENT PSYCHIATRY
(2023)
Article
Substance Abuse
Catharine E. Fairbairn, Nigel Bosch
Summary: The use of transdermal alcohol monitors has grown rapidly, with new sensors promising to expand the range of applications. Advances in machine-learning modeling approaches offer new methods for translating the data produced by transdermal devices.
Article
Multidisciplinary Sciences
Laura Gurrieri, Catharine E. Fairbairn, Michael A. Sayette, Nigel Bosch
Summary: Managing pandemics will likely continue to be a global reality for years to come, but the approach to pandemic restrictions remains unclear. Alcohol consumption during COVID-19 has sparked controversy, with concerns that it may lead to decreased adherence to physical distancing guidelines. A study found that alcohol causes individuals to physically approach unfamiliar interaction partners, potentially increasing the risk of virus transmission between previously unconnected social groups.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Computer Science, Interdisciplinary Applications
Nigel Bosch
Summary: This study used machine learning methods to predict the effectiveness of growth mindset interventions among students. Prior academic achievement, blocked navigations, self-reported reasons for learning, and race/ethnicity were found to be the most important predictors of intervention effectiveness. The intervention was most effective for students with prior low academic achievement, but some students, particularly those who experience blocked navigations, were predicted to benefit less from the intervention.
COMPUTERS & EDUCATION
(2021)
Article
Psychology, Applied
Louis Hickman, Nigel Bosch, Vincent Ng, Rachel Saef, Louis Tay, Sang Eun Woo
Summary: This study addresses the lack of research on the reliability, validity, and generalizability of automated video interviews (AVIs) for screening job applicants by developing and validating machine learning models to assess Big Five personality traits. Results show that AVI personality assessments trained on interviewer-reports exhibit stronger evidence of validity.
JOURNAL OF APPLIED PSYCHOLOGY
(2022)
Article
Chemistry, Multidisciplinary
Destiny Williams-Dobosz, Amos Jeng, Renato F. L. Azevedo, Nigel Bosch, Christian Ray, Michelle Perry
Summary: The study found that requests for help in an online college-level chemistry course's discussion forum were responded to equally, regardless of how explicitly students appealed for help. Furthermore, underrepresented chemistry students and non-underrepresented chemistry students requested and responded to help similarly, but the former received help at greater rates. Results indicate that productive and substantive help-seeking and help-giving discussions occur in an online discussion forum, highlighting the importance of help-seeking as a necessary learning skill in informing chemistry instruction and learning.
JOURNAL OF CHEMICAL EDUCATION
(2021)
Article
Computer Science, Artificial Intelligence
Nigel Bosch, Sidney K. D'Mello
Summary: The study reports on the use of facial features to automatically detect mind wandering in both laboratory and classroom settings, achieving above-chance improvements. The results suggest that integrating mind wandering detectors into intelligent interfaces can enhance engagement and learning.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING
(2021)
Article
Computer Science, Cybernetics
Nigel Bosch, Sidney K. D'Mello
Summary: This study analyzed the ability to identify whether a user is zoning out from video and explored the performance differences between humans and automatic computerized approaches, as well as the potential improvement through fusion of the two. The findings showed that a state-of-the-art machine learning model had comparable accuracy to human observers, and the fusion of the two improved accuracy by focusing on complementary cues. Furthermore, adding more human observers beyond a certain number did not yield significant returns in accuracy.
ACM TRANSACTIONS ON COMPUTER-HUMAN INTERACTION
(2022)
Article
Psychology, Educational
Yingbin Zhang, Luc Paquette, Nigel Bosch, Jaclyn Ocumpaugh, Gautam Biswas, Stephen Hutt, Ryan S. Baker
Summary: This study investigated the evolution of metacognitive strategy use in a computer-based learning environment. The results showed that students' use of metacognitive strategies changed over time and varied among individuals. Task value and prior domain knowledge could explain this evolution and individual differences.
CONTEMPORARY EDUCATIONAL PSYCHOLOGY
(2022)
Article
Education & Educational Research
Amos Jeng, Nigel Bosch, Michelle Perry
Summary: This study examined how students' sense of belonging and demographic background can predict their perception of helpfulness in replies to requests for help on an online college course discussion forum. The researchers surveyed college students enrolled in an introductory statistics course to assess their sense of belonging to the course community and their perceived helpfulness of 20 examples of replies to help requests. The findings indicated that students with lower sense of belonging rated helpgiving replies as less helpful for their learning compared to those with higher sense of belonging. Additionally, students with lower sense of belonging were more likely to emphasize social support as a criterion for effective peer assistance.
INTERNET AND HIGHER EDUCATION
(2023)
Proceedings Paper
Computer Science, Theory & Methods
Paul Denny, Brett A. Becker, Nigel Bosch, James Prather, Brent Reeves, Jacqueline Whalley
Summary: This paper investigates the transition from an interpreted language (MATLAB) to a compiled language (C) for computing students. The study analyzes the benefits and difficulties perceived by students in their own words. Surprisingly, it is found that the highest-performing students express more negative sentiments towards the language transition, which is hypothesized to be due to their stronger metacognitive skills. The most common difficulties reported by students include syntax, error messages, and the compilation process.
PROCEEDINGS OF THE 53RD ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION (SIGCSE 2022), VOL 1
(2022)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Paul Hur, Nigel Bosch
Summary: This study explores measuring posture and movement in secondary classroom video data using computer vision methods, particularly OpenPose. The researchers introduce a simple yet effective approach to automatically track movement through post-processing of OpenPose output data. Despite challenges such as occlusion and difficulty detecting lower body movement, the approach successfully tracked person IDs for the majority of detected individuals. The study also discusses the implications for supporting more scalable video data analysis and future potential explorations.
LAK22 CONFERENCE PROCEEDINGS: THE TWELFTH INTERNATIONAL CONFERENCE ON LEARNING ANALYTICS & KNOWLEDGE
(2022)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Destiny Williams-Dobosz, Renato Ferreira Leitao Azevedo, Amos Jeng, Vyom Thakkar, Suma Bhat, Nigel Bosch, Michelle Perry
Summary: This study investigated the impact of online discussion forum engagement on the success of UR-STEM and non-UR-STEM students using the Community of Inquiry model. The results indicated a significant positive relationship between help-seeking behavior and improvement, while general posting and connectivity had nonsignificant effects on improvement.
LAK21 CONFERENCE PROCEEDINGS: THE ELEVENTH INTERNATIONAL CONFERENCE ON LEARNING ANALYTICS & KNOWLEDGE
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Clara Belitz, Lan Jiang, Nigel Bosch
Summary: In recent years, machine learning has been increasingly used in various applications, leading to studies on unfairness issues. A feature selection method inspired by fair process was proposed to reduce unfairness while maintaining accuracy. Experimental results showed that the method effectively decreases unfairness in most cases.
AIES '21: PROCEEDINGS OF THE 2021 AAAI/ACM CONFERENCE ON AI, ETHICS, AND SOCIETY
(2021)
Article
Industrial Relations & Labor
Louis Hickman, Rachel Saef, Vincent Ng, Sang Eun Woo, Louis Tay, Nigel Bosch
Summary: Organizations are increasingly turning to people analytics for human resources decision-making, including using machine learning to infer applicant characteristics from employment interviews. However, research on the validity of these algorithms in organizational decision-making is lacking. This study used text mining on mock video interviews to predict interviewee's self-reported and interviewer-rated personality traits, finding that predicting interviewer ratings was more accurate than predicting self-reports, with implications for future research and practice.
HUMAN RESOURCE MANAGEMENT JOURNAL
(2021)
Proceedings Paper
Computer Science, Theory & Methods
Yingbin Zhang, Luc Paquette, Ryan S. Baker, Jaclyn Ocumpaugh, Nigel Bosch, Anabil Munshi, Gautam Biswas
LAK20: THE TENTH INTERNATIONAL CONFERENCE ON LEARNING ANALYTICS & KNOWLEDGE
(2020)
Article
Computer Science, Interdisciplinary Applications
Elise Ameloot, Tijs Rotsaert, Thomas Ameloot, Bart Rienties, Tammy Schellens
Summary: This study investigates the impact of using learning analytics to support students' autonomy and competence needs in a blended learning environment. The findings show that teachers' adaptation based on learning analytics positively influences students' satisfaction with the adapted learning environment. However, students' basic psychological needs vary depending on the face-to-face workshop subject. The study emphasizes the importance of thoughtful blended learning course design and provides recommendations for effective learning analytics utilization in university settings.
COMPUTERS & EDUCATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Tzu-Chi Yang, Zhi-Shen Lin
Summary: Computational thinking is essential in the current era and learning programming is the most effective way to develop it. Introducing computational thinking and programming at an early age is recommended. Graphic organizers serve as a bridge between students' existing knowledge and new learning, enhancing their learning process. The study found that using graphic organizers improved elementary school students' computational thinking, programming skills, and learning experiences.
COMPUTERS & EDUCATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Yuqin Yang, Kaicheng Yuan, Gaoxia Zhu, Lizhen Jiao
Summary: The study finds that the design of collaborative analytics-enhanced reflective assessment can promote conducive epistemic emotions to knowledge building among undergraduates, and enriches our understanding of the relationships between metacognition, epistemic emotions, and knowledge building practices.
COMPUTERS & EDUCATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Vishal Kiran Kuvar, Jeremy N. Bailenson, Caitlin Mills
Summary: Recent research suggests that students' minds often wander off-task during learning, regardless of the learning modality. This study explores the potential of virtual reality (VR) to reduce task-unrelated thoughts (TUT) and finds that learning with VR leads to lower TUT and better performance.
COMPUTERS & EDUCATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Yiming Liu, Jeremy Tzi Dong Ng, Xiao Hu, Zhengyang Ma, Xiaoyan Lai
Summary: This study examines teachers' usage intention and behavior towards the Game Learning Analytics (GLA) system in K-12 classrooms. The study found that personal, environmental, and technological factors influenced teachers' intention and behavior, and that technostress moderated the intention-behavior relationship. The study also identified the heterogeneity of GLA usage among teachers with different individual characteristics.
COMPUTERS & EDUCATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Romina Cachia, Artur Pokropek, Nikoleta Giannoutsou
Summary: This article introduces a shortened version of the European Commission's SELFIE tool for measuring the digital capacity of schools. Two shorter measurement instruments, called midi-SELFIE and mini-SELFIE, are proposed based on the original tool. The validity and uses of these shortened versions are explored through various cases and compared to the complete instrument. The results suggest that the shortened versions of SELFIE are reliable alternatives for specific purposes.
COMPUTERS & EDUCATION
(2024)
