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Noelle Brown; Sara Nurollahian; Eliane S. Wiese – ACM Transactions on Computing Education, 2025
While there have been many calls for teaching ethics and responsible computing, it is unclear how responsible computing instruction and technical learning interact. Some instructors even hesitate to include ethics in their courses, fearing it might distract students from learning technical computing content. An approach called…
Descriptors: Teaching Methods, Computer Science Education, Intervention, Ethics
Chu, Wei Wei; Hafiz, Nur Rosliana Mohd; Mohamad, Ummi Atiah; Ashamuddin, Hazimah; Tho, Siew Wei – International Journal of Technology and Design Education, 2023
Over the past few years, diverse forms of STEM (Science, Technology, Engineering and Mathematics) intervention have been designed, demonstrating their beneficial implications on students' cognitive and affective domains. This study aims to systematically review the development of STEM education intervention on secondary education through the…
Descriptors: STEM Education, Visualization, Computer Software, Secondary Education
Graphical Tools for Visualizing the Results of Network Meta-Analysis of Multicomponent Interventions
Seitidis, Georgios; Tsokani, Sofia; Christogiannis, Christos; Kontouli, Katerina-Maria; Fyraridis, Alexandros; Nikolakopoulos, Stavros; Veroniki, Areti Angeliki; Mavridis, Dimitris – Research Synthesis Methods, 2023
Network meta-analysis (NMA) is an established method for assessing the comparative efficacy and safety of competing interventions. It is often the case that we deal with interventions that consist of multiple, possibly interacting, components. Examples of interventions' components include characteristics of the intervention, mode (face-to-face,…
Descriptors: Networks, Network Analysis, Meta Analysis, Intervention
HyeJin Hwang; Panayiota Kendeou; Kristen L. McMaster – Grantee Submission, 2025
Successful comprehension is only possible when children draw inferences about ideas implicit or missing in discourse. Supporting inference-making with explicit instruction must start early given its importance in comprehension and knowledge development. However, students who experience difficulties with early reading skills often do not receive…
Descriptors: Inferences, Video Technology, Reading Difficulties, Reading Skills
HyeJin Hwang; Panayiota (Pani) Kendeou; Kristen L. McMaster – Journal of Special Education Technology, 2025
Successful comprehension is only possible when children draw inferences about ideas implicit or missing in discourse. Supporting inference-making with explicit instruction must start early given its importance in comprehension and knowledge development. However, students who experience difficulties with early reading skills often do not receive…
Descriptors: Inferences, Video Technology, Reading Difficulties, Reading Skills
Paraskevi Topali; Ruth Cobos; Unai Agirre-Uribarren; Alejandra Martínez-Monés; Sara Villagrá-Sobrino – Journal of Computer Assisted Learning, 2024
Background: Personalised and timely feedback in massive open online courses (MOOCs) is hindered due to the large scale and diverse needs of learners. Learning analytics (LA) can support scalable interventions, however they often lack pedagogical and contextual grounding. Previous research claimed that a human-centred approach in the design of LA…
Descriptors: Learning Analytics, MOOCs, Feedback (Response), Intervention
Gold, Nicolas E.; Lawson, Ian; Oxtoby, Neil P. – Research Ethics, 2023
Software plays an important role in contemporary research. Aside from its use for administering traditional instruments like surveys and in data analysis, the widespread use of mobile and web apps for social, medical and lifestyle engagement has led to software becoming a research intervention in its own right. For example, it is not unusual to…
Descriptors: Computer Software, Intervention, Ethics, Researchers
Yiwen Jin; Lies Sercu – Journal of Computer Assisted Learning, 2025
Background: Artificial intelligence has been reshaping many industries, and education is no exception. When ChatGPT burst onto the scene in late 2022, it ignited conversations among educators and researchers alike. Despite growing interest and experimentation with this technology in university classrooms, the field has been missing a comprehensive…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Higher Education
Reem El Sherif; Pierre Pluye; Quan Nha Hong; Benoît Rihoux – Research Synthesis Methods, 2024
Qualitative comparative analysis (QCA) is a hybrid method designed to bridge the gap between qualitative and quantitative research in a case-sensitive approach that considers each case holistically as a complex configuration of conditions and outcomes. QCA allows for multiple conjunctural causation, implying that it is often a combination of…
Descriptors: Comparative Analysis, Qualitative Research, Statistical Analysis, Researchers
Tan, Teck Kiang – Practical Assessment, Research & Evaluation, 2022
Power analysis based on the analytical t-test is an important aspect of a research study to determine the sample size required to detect the effect for the comparison of two means. The current paper presents a reader-friendly procedure for carrying out the t-test power analysis using the various R add-on packages. While there is a growing of R…
Descriptors: Programming Languages, Sample Size, Bayesian Statistics, Intervention
Andrea E. Green – ProQuest LLC, 2024
No solution can ultimately eliminate cheating in online courses. However, universities reserve funding for authentication systems to minimize the threat of cheating in online courses. Most higher education institutions use a combination of authentication methods to secure systems against impersonation attacks during online examinations.…
Descriptors: College Students, Cheating, Online Courses, Intervention
Mümüne Merve Parlak; Aysen Köse; Murat Güç; Özlem Bizpinar Munis – International Journal of Language & Communication Disorders, 2024
Background: Alzheimer's disease (AD) is a progressive neurodegenerative disease. Cognitive functions and communication skills worsen as the disease progresses, thereby reducing patients' independence levels. Therefore, recommending software that can be used at home may be a useful means of slowing down the cognitive and communicative decline in…
Descriptors: Handheld Devices, Alzheimers Disease, Cognitive Ability, Communication (Thought Transfer)
Enes Küçük; Fidaye Cincil; Yasemin Karal – Journal of Theoretical Educational Science, 2025
AI technology, which is becoming more widespread day by day, also affects education and training processes. The use of AI tools in educational environments provides many benefits to teachers and students. However, the use of AI in education also raises some ethical concerns. The aim of this study was to reveal the ethical issues arising from the…
Descriptors: Ethics, Teaching Methods, Learning Analytics, Internet
Tom Neuschafer – Journal of Educators Online, 2025
Online instructors have identified several issues that must be addressed to facilitate better online learning experiences, including authentic experiential education, building community, technology for remote learning, and supporting learners. Online forums are often used by users to express their frustrations, feelings, jokes, and even…
Descriptors: Computer Mediated Communication, Second Language Learning, Handheld Devices, Educational Technology
Russell, Amy; Smyth, Sinéad – Journal of Research in Special Educational Needs, 2023
The field of special education is thought to be a stressful profession due to the complex needs of the students. The current study aimed to assess the effectiveness of a mindfulness-based smartphone application intervention for reducing burnout in special educators. We used the Copenhagen Burnout Inventory scale (with three subscales; personal,…
Descriptors: Special Education Teachers, Teacher Burnout, Metacognition, Intervention

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